From bbd35085063194db58e4472e70b204d4be4a3607 Mon Sep 17 00:00:00 2001
From: willtanoe <willtanu86@gmail.com>
Date: Tue, 29 Sep 2026 23:56:12 +0700
Subject: [PATCH] experiment: validate 5gnidd beta selection at alpha 0.75

---
 ...a0.75__multiseed__audit_recomputation.json |   293 +
 ...lpha0.75__multiseed__beta0_equivalence.csv |     4 +
 ...5__multiseed__client_validation_deltas.csv |   151 +
 ...5__multiseed__client_validation_detail.csv |   151 +
 ...__multiseed__client_validation_summary.csv |    16 +
 ...75__multiseed__prototype_effect_pooled.csv |    46 +
 .../5gnidd__alpha0.75__multiseed__runtime.csv |    19 +
 ...pha0.75__multiseed__selection_summary.json |   111 +
 ...alpha0.75__multiseed__test_descriptive.csv |    19 +
 ...ha0.75__multiseed__validation_per_seed.csv |    16 +
 ...lpha0.75__multiseed__validation_pooled.csv |     6 +
 ..._alpha0.75__partition_characterization.csv |    31 +
 ...d__alpha0.75__partition_heterogeneity.json |   111 +
 ....75__partition_heterogeneity_per_class.csv |    28 +
 ...0.75__partition_heterogeneity_per_seed.csv |     4 +
 ...a0.75__partition_heterogeneity_summary.csv |     2 +
 ...t_weighted__beta0__prototype_snapshot.json | 11444 +++++++++++++++
 ...__prototype_snapshot__prototype_effect.csv |    46 +
 ..._prototype_snapshot__prototype_weights.csv |   436 +
 ...t_weighted__beta0__prototype_snapshot.json | 11575 +++++++++++++++
 ...__prototype_snapshot__prototype_effect.csv |    46 +
 ..._prototype_snapshot__prototype_weights.csv |   441 +
 ...t_weighted__beta0__prototype_snapshot.json | 11837 ++++++++++++++++
 ...__prototype_snapshot__prototype_effect.csv |    46 +
 ..._prototype_snapshot__prototype_weights.csv |   451 +
 ...d__cross_alpha__cross_alpha_beta_table.csv |    11 +
 ...ross_alpha__cross_alpha_client_summary.csv |    31 +
 ..._cross_alpha__cross_alpha_displacement.csv |    91 +
 ...idd__cross_alpha__cross_alpha_summary.json |    56 +
 ..._cross_alpha__partition_heterogeneity.json |   205 +
 ...pha__partition_heterogeneity_per_class.csv |    55 +
 ...lpha__partition_heterogeneity_per_seed.csv |     7 +
 ...alpha__partition_heterogeneity_summary.csv |     3 +
 docs/handoff/SESSION_HANDOFF.md               |   378 +-
 .../5GNIDD_ALPHA075_BETA_VALIDATION.md        |   450 +
 docs/research/SESSION10_AUDIT.md              |   277 +
 36 files changed, 38705 insertions(+), 189 deletions(-)
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__audit_recomputation.json
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__beta0_equivalence.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_deltas.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_detail.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_summary.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__selection_summary.json
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__test_descriptive.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_pooled.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__partition_characterization.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity.json
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_class.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_seed.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_summary.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot.json
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot.json
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot.json
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
 create mode 100644 artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
 create mode 100644 artifacts/analysis/5gnidd__cross_alpha__cross_alpha_beta_table.csv
 create mode 100644 artifacts/analysis/5gnidd__cross_alpha__cross_alpha_client_summary.csv
 create mode 100644 artifacts/analysis/5gnidd__cross_alpha__cross_alpha_displacement.csv
 create mode 100644 artifacts/analysis/5gnidd__cross_alpha__cross_alpha_summary.json
 create mode 100644 artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity.json
 create mode 100644 artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_per_class.csv
 create mode 100644 artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_per_seed.csv
 create mode 100644 artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_summary.csv
 create mode 100644 docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md
 create mode 100644 docs/research/SESSION10_AUDIT.md

diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__audit_recomputation.json b/artifacts/analysis/5gnidd__alpha0.75__multiseed__audit_recomputation.json
new file mode 100644
index 0000000..3336185
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__audit_recomputation.json
@@ -0,0 +1,293 @@
+{
+  "checks": [
+    {
+      "detail": "18/18 runs complete, config conformant",
+      "name": "run_inventory_18_full",
+      "ok": true
+    },
+    {
+      "detail": "",
+      "name": "snapshots_18_present",
+      "ok": true
+    },
+    {
+      "detail": "{\"0\": {\"manifest_content_hash\": \"96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5\", \"round0_snapshot_sha256\": \"266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b\", \"unique_counts\": [1, 1, 1, 1, 1]}, \"1\": {\"manifest_content_hash\": \"007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3\", \"round0_snapshot_sha256\": \"acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0\", \"unique_counts\": [1, 1, 1, 1, 1]}, \"2\": {\"manifest_content_hash\": \"3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d\", \"round0_snapshot_sha256\": \"ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46\", \"unique_counts\": [1, 1, 1, 1, 1]}}",
+      "name": "pairing_within_seed",
+      "ok": true
+    },
+    {
+      "detail": "{\"0\": {\"content_hash\": \"96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5\", \"partition_hash\": \"74a91845627dbe57efab9a5cf94e37bcce98ce38edb7936a8c1cbd8f040d3dc8\", \"split_hash\": \"18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7\", \"reproduced_support_match\": true, \"reproduced_partition_hash_match\": true, \"sizes\": {\"test\": 243177, \"train\": 851123, \"validation\": 121589}}, \"1\": {\"content_hash\": \"007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3\", \"partition_hash\": \"fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c\", \"split_hash\": \"3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e\", \"reproduced_support_match\": true, \"reproduced_partition_hash_match\": true, \"sizes\": {\"test\": 243177, \"train\": 851123, \"validation\": 121589}}, \"2\": {\"content_hash\": \"3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d\", \"partition_hash\": \"4ee33d0a28326ae1d0e5574a8cd850068ef4ec1cc631b7366daab65b3e22ca86\", \"split_hash\": \"fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f\", \"reproduced_support_match\": true, \"reproduced_partition_hash_match\": true, \"sizes\": {\"test\": 243177, \"train\": 851123, \"validation\": 121589}}}",
+      "name": "manifest_reproduced_from_raw",
+      "ok": true
+    },
+    {
+      "detail": "cells=1620 mismatches=0 benign_never_rare=True",
+      "name": "rare_unseen_integrity",
+      "ok": true
+    },
+    {
+      "detail": "max_per_client_mean_diff=0.00e+00 max_global_diff=0.00e+00",
+      "name": "validation_recomputation",
+      "ok": true
+    },
+    {
+      "detail": "recomputed_selected=0.5 summary_selected=0.5",
+      "name": "pooled_selection_recomputation",
+      "ok": true
+    },
+    {
+      "detail": "max_diff_vs_test_descriptive=0.00e+00; selected_beta=0.50 mean rareMacroF1=0.896738",
+      "name": "test_selected_and_original_recompute",
+      "ok": true
+    },
+    {
+      "detail": "classifications=B,B,B",
+      "name": "beta0_equivalence_B",
+      "ok": true
+    },
+    {
+      "detail": "5g_a075=0.5 5g_a050=1.0 xii_a075=0.5",
+      "name": "cross_condition_labels",
+      "ok": true
+    },
+    {
+      "detail": "",
+      "name": "no_equal_available",
+      "ok": true
+    },
+    {
+      "detail": "",
+      "name": "no_5gnidd_alpha025_runs",
+      "ok": true
+    },
+    {
+      "detail": "",
+      "name": "only_18_alpha075_runs",
+      "ok": true
+    }
+  ],
+  "manifest_reproduction": {
+    "0": {
+      "content_hash": "96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5",
+      "partition_hash": "74a91845627dbe57efab9a5cf94e37bcce98ce38edb7936a8c1cbd8f040d3dc8",
+      "reproduced_partition_hash_match": true,
+      "reproduced_support_match": true,
+      "sizes": {
+        "test": 243177,
+        "train": 851123,
+        "validation": 121589
+      },
+      "split_hash": "18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7"
+    },
+    "1": {
+      "content_hash": "007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3",
+      "partition_hash": "fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c",
+      "reproduced_partition_hash_match": true,
+      "reproduced_support_match": true,
+      "sizes": {
+        "test": 243177,
+        "train": 851123,
+        "validation": 121589
+      },
+      "split_hash": "3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e"
+    },
+    "2": {
+      "content_hash": "3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d",
+      "partition_hash": "4ee33d0a28326ae1d0e5574a8cd850068ef4ec1cc631b7366daab65b3e22ca86",
+      "reproduced_partition_hash_match": true,
+      "reproduced_support_match": true,
+      "sizes": {
+        "test": 243177,
+        "train": 851123,
+        "validation": 121589
+      },
+      "split_hash": "fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f"
+    }
+  },
+  "pairing": {
+    "0": {
+      "manifest_content_hash": "96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5",
+      "round0_snapshot_sha256": "266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b",
+      "unique_counts": [
+        1,
+        1,
+        1,
+        1,
+        1
+      ]
+    },
+    "1": {
+      "manifest_content_hash": "007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3",
+      "round0_snapshot_sha256": "acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0",
+      "unique_counts": [
+        1,
+        1,
+        1,
+        1,
+        1
+      ]
+    },
+    "2": {
+      "manifest_content_hash": "3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d",
+      "round0_snapshot_sha256": "ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46",
+      "unique_counts": [
+        1,
+        1,
+        1,
+        1,
+        1
+      ]
+    }
+  },
+  "pooled_recomputed": {
+    "0.0": 0.7780936320958092,
+    "0.25": 0.7904830018820702,
+    "0.5": 0.8090814343293601,
+    "0.75": 0.7915299789128217,
+    "1.0": 0.8043064619946296
+  },
+  "rare_unseen": {
+    "benign_never_rare": true,
+    "cells": 1620,
+    "mismatches": 0
+  },
+  "selected_beta": 0.5,
+  "test_recompute": {
+    "original_protean": {
+      "test_accuracy": {
+        "mean": 0.7509550656517682,
+        "std": 0.0035777922288362054
+      },
+      "test_macro_f1": {
+        "mean": 0.8414047018856162,
+        "std": 0.014091078328488028
+      },
+      "test_rare_macro_f1": {
+        "mean": 0.879900791504952,
+        "std": 0.023120839413686988
+      },
+      "test_rare_recall": {
+        "mean": 0.9612140858051156,
+        "std": 0.002143727670860224
+      },
+      "test_weighted_f1": {
+        "mean": 0.7260474326548715,
+        "std": 0.004543897028843019
+      }
+    },
+    "support_weighted_beta0": {
+      "test_accuracy": {
+        "mean": 0.7509838512688288,
+        "std": 0.0037329205926169102
+      },
+      "test_macro_f1": {
+        "mean": 0.8391354878981246,
+        "std": 0.013693028200511013
+      },
+      "test_rare_macro_f1": {
+        "mean": 0.8764591215719099,
+        "std": 0.02260113418435903
+      },
+      "test_rare_recall": {
+        "mean": 0.9606706878132623,
+        "std": 0.0020656434963995866
+      },
+      "test_weighted_f1": {
+        "mean": 0.7261024009477125,
+        "std": 0.004779553451037174
+      }
+    },
+    "support_weighted_beta0.25": {
+      "test_accuracy": {
+        "mean": 0.7516692231036104,
+        "std": 0.002942824488787043
+      },
+      "test_macro_f1": {
+        "mean": 0.8458535133902346,
+        "std": 0.011126729951477666
+      },
+      "test_rare_macro_f1": {
+        "mean": 0.8860944489538003,
+        "std": 0.017339917382935534
+      },
+      "test_rare_recall": {
+        "mean": 0.9600550909498896,
+        "std": 0.00043811176715534466
+      },
+      "test_weighted_f1": {
+        "mean": 0.7267339883098294,
+        "std": 0.003757542140038698
+      }
+    },
+    "support_weighted_beta0.5": {
+      "test_accuracy": {
+        "mean": 0.7522737210618877,
+        "std": 0.0025025090963709863
+      },
+      "test_macro_f1": {
+        "mean": 0.8531495688589309,
+        "std": 0.009572296127013734
+      },
+      "test_rare_macro_f1": {
+        "mean": 0.8967376245747419,
+        "std": 0.014470318925337908
+      },
+      "test_rare_recall": {
+        "mean": 0.9597014107775274,
+        "std": 0.001024585149761231
+      },
+      "test_weighted_f1": {
+        "mean": 0.7274674299268967,
+        "std": 0.0032168140791904
+      }
+    },
+    "support_weighted_beta0.75": {
+      "test_accuracy": {
+        "mean": 0.7519474840685317,
+        "std": 0.002155787181765433
+      },
+      "test_macro_f1": {
+        "mean": 0.8476212069323209,
+        "std": 0.01852180913958364
+      },
+      "test_rare_macro_f1": {
+        "mean": 0.8885898098670646,
+        "std": 0.02738277500468928
+      },
+      "test_rare_recall": {
+        "mean": 0.9603105384805869,
+        "std": 0.0007288932709078212
+      },
+      "test_weighted_f1": {
+        "mean": 0.7270334167060777,
+        "std": 0.002772534642512137
+      }
+    },
+    "support_weighted_beta1": {
+      "test_accuracy": {
+        "mean": 0.7523833805554526,
+        "std": 0.0018176355672870647
+      },
+      "test_macro_f1": {
+        "mean": 0.851686959281225,
+        "std": 0.009143656561138977
+      },
+      "test_rare_macro_f1": {
+        "mean": 0.8944926227096888,
+        "std": 0.013648592650346696
+      },
+      "test_rare_recall": {
+        "mean": 0.9612146220513371,
+        "std": 0.0027280453653965118
+      },
+      "test_weighted_f1": {
+        "mean": 0.7275954528812348,
+        "std": 0.0023627881977532576
+      }
+    }
+  },
+  "validation": {
+    "max_global_diff": 0.0,
+    "max_per_client_mean_diff": 0.0
+  }
+}
diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__beta0_equivalence.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__beta0_equivalence.csv
new file mode 100644
index 0000000..5187e93
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__beta0_equivalence.csv
@@ -0,0 +1,4 @@
+dataset,alpha,seed,same_manifest_content_hash,round0_snapshot_sha256_original,round0_snapshot_sha256_beta0,round0_snapshot_byte_identical,support_char_rare_identical,aggregation_max_abs_diff,history_rare_f1_round0_diff,history_rare_f1_max_diff_rounds_ge1,test_metric_max_abs_diff,classification
+5gnidd,0.75,0,True,266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b,266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b,True,True,4.440892098500626e-16,0.0,0.03222927933218078,0.0052219504932764504,B
+5gnidd,0.75,1,True,acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0,acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0,True,True,4.440892098500626e-16,0.0,0.05039883148565938,0.005315440515630376,B
+5gnidd,0.75,2,True,ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46,ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46,True,True,4.440892098500626e-16,0.0,0.027157142841089277,0.0002735042735044768,B
diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_deltas.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_deltas.csv
new file mode 100644
index 0000000..f76e680
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_deltas.csv
@@ -0,0 +1,151 @@
+seed,beta,client_id,n_samples,val_rare_macro_f1,val_rare_recall
+0,0.0,0,12327,0.8606265022873536,0.947682119205298
+0,0.0,1,11240,0.9111203513604824,0.9230769230769231
+0,0.0,2,6031,0.8971807628524047,0.9375
+0,0.0,3,17180,0.918207728507987,0.9906710405156538
+0,0.0,4,7312,0.856895485466914,0.996875
+0,0.0,5,7163,0.5428571428571429,1.0
+0,0.0,6,13112,0.9715745058849656,0.9957983193277311
+0,0.0,7,8677,0.6296296296296295,0.85
+0,0.0,8,26805,0.8355462380619614,1.0
+0,0.0,9,11742,0.9231738035264484,1.0
+0,0.25,0,12327,0.8830933772110242,0.9463576158940397
+0,0.25,1,11240,0.91286079649251,0.9230769230769231
+0,0.25,2,6031,0.8971807628524047,0.9375
+0,0.25,3,17180,0.9207238482772924,0.9906710405156538
+0,0.25,4,7312,0.8485778926955397,0.996875
+0,0.25,5,7163,0.4285714285714286,1.0
+0,0.25,6,13112,0.9766136996139689,0.9957983193277311
+0,0.25,7,8677,0.6071428571428571,0.85
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_detail.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_detail.csv
new file mode 100644
index 0000000..a72ebcb
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_detail.csv
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_summary.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_summary.csv
new file mode 100644
index 0000000..4e02004
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_summary.csv
@@ -0,0 +1,16 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv
new file mode 100644
index 0000000..e6bcb6b
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv
@@ -0,0 +1,46 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv
new file mode 100644
index 0000000..d7fd069
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv
@@ -0,0 +1,19 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__selection_summary.json b/artifacts/analysis/5gnidd__alpha0.75__multiseed__selection_summary.json
new file mode 100644
index 0000000..b2a5154
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__selection_summary.json
@@ -0,0 +1,111 @@
+{
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+    0.25,
+    0.5,
+    0.75,
+    1.0
+  ],
+  "dataset": "5gnidd",
+  "missing_artifacts": [],
+  "n_missing_artifacts": 0,
+  "outputs": {
+    "client_deltas": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_deltas.csv",
+    "client_validation_detail": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_detail.csv",
+    "client_validation_summary": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__client_validation_summary.csv",
+    "per_seed": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv",
+    "pooled": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_pooled.csv",
+    "prototype_effect_pooled": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv",
+    "test_descriptive": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__multiseed__test_descriptive.csv"
+  },
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+  },
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+    2
+  ]
+}
diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__test_descriptive.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__test_descriptive.csv
new file mode 100644
index 0000000..1cfb259
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__test_descriptive.csv
@@ -0,0 +1,19 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv
new file mode 100644
index 0000000..668e248
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv
@@ -0,0 +1,16 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_pooled.csv b/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_pooled.csv
new file mode 100644
index 0000000..baf07b6
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_pooled.csv
@@ -0,0 +1,6 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__partition_characterization.csv b/artifacts/analysis/5gnidd__alpha0.75__partition_characterization.csv
new file mode 100644
index 0000000..29dc04b
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__partition_characterization.csv
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity.json b/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity.json
new file mode 100644
index 0000000..92dd770
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity.json
@@ -0,0 +1,111 @@
+{
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+  "per_class": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_class.csv",
+  "per_seed": "/home/willtanoe/projects/perdalam-protean/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_seed.csv",
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+}
diff --git a/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_class.csv b/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_class.csv
new file mode 100644
index 0000000..550ec06
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_class.csv
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_seed.csv b/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_seed.csv
new file mode 100644
index 0000000..f8c6c3b
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_seed.csv
@@ -0,0 +1,4 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_summary.csv b/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_summary.csv
new file mode 100644
index 0000000..32f9e67
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_summary.csv
@@ -0,0 +1,2 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot.json b/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot.json
new file mode 100644
index 0000000..35f35c8
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot.json
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot__prototype_effect.csv b/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
new file mode 100644
index 0000000..340060a
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot__prototype_weights.csv b/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
new file mode 100644
index 0000000..6d58969
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot.json b/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot.json
new file mode 100644
index 0000000..0aced8a
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot.json
@@ -0,0 +1,11575 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot__prototype_effect.csv b/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
new file mode 100644
index 0000000..74fb038
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot__prototype_weights.csv b/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
new file mode 100644
index 0000000..ec7ffd0
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed1__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot.json b/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot.json
new file mode 100644
index 0000000..910c668
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot.json
@@ -0,0 +1,11837 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot__prototype_effect.csv b/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
new file mode 100644
index 0000000..336fad1
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot__prototype_effect.csv
@@ -0,0 +1,46 @@
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diff --git a/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot__prototype_weights.csv b/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
new file mode 100644
index 0000000..38a9149
--- /dev/null
+++ b/artifacts/analysis/5gnidd__alpha0.75__seed2__support_weighted__beta0__prototype_snapshot__prototype_weights.csv
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diff --git a/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_beta_table.csv b/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_beta_table.csv
new file mode 100644
index 0000000..448a4fe
--- /dev/null
+++ b/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_beta_table.csv
@@ -0,0 +1,11 @@
+dataset,alpha,beta,n_seeds,pooled_val_mean,pooled_val_std_sample,pooled_val_std_pop,pooled_val_min,pooled_val_max,pooled_val_recall,selected,cells_sj_lt_M_total,cells_total,missing_client_class_cells_total,client_size_ratio_mean,support_cv_mean,union_unseen_mean,mean_displacement_beta1
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diff --git a/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_client_summary.csv b/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_client_summary.csv
new file mode 100644
index 0000000..144855c
--- /dev/null
+++ b/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_client_summary.csv
@@ -0,0 +1,31 @@
+dataset,alpha,seed,beta,n_eligible,n_improve,n_degrade,n_unchanged,mean_delta,min_delta,max_delta
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diff --git a/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_displacement.csv b/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_displacement.csv
new file mode 100644
index 0000000..4a1a8b6
--- /dev/null
+++ b/artifacts/analysis/5gnidd__cross_alpha__cross_alpha_displacement.csv
@@ -0,0 +1,91 @@
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new file mode 100644
index 0000000..50209b6
--- /dev/null
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new file mode 100644
index 0000000..c4f24fc
--- /dev/null
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new file mode 100644
index 0000000..6e2d19a
--- /dev/null
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+5gnidd,0.75,2,5,SlowrateDoS,51187,10,0,99,18020,5118.7,4987.431263686748,0.9743550635291672,182.02020202020202
+5gnidd,0.75,2,6,TCPConnectScan,14037,10,0,84,3335,1403.7,1073.5125569829167,0.7647734964614353,39.70238095238095
+5gnidd,0.75,2,7,UDPFlood,320138,10,0,2637,63416,32013.8,21351.952298560427,0.6669608824494571,24.048540007584375
+5gnidd,0.75,2,8,UDPScan,11134,10,0,37,3282,1113.4,1058.092925975786,0.9503259618967003,88.70270270270271
diff --git a/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_per_seed.csv b/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_per_seed.csv
new file mode 100644
index 0000000..b3c6deb
--- /dev/null
+++ b/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_per_seed.csv
@@ -0,0 +1,7 @@
+dataset,alpha,seed,num_clients,num_classes,num_train,nij_sum,n_class_condition_cells,n_cells_sj_lt_M,n_missing_client_class_cells,client_size_min,client_size_max,client_size_ratio,union_rare_count,union_unseen_count,max_unseen_on_client,n_clients_2_rare,support_cv_mean,support_cv_max,support_max_min_ratio_max,manifest_content_hash,partition_hash,split_hash,rng_seed
+5gnidd,0.5,0,10,9,851123,851123,9,2,2,15388,178993,11.631985963088121,6,2,1,10,1.224175005199598,1.7831313104092381,88943.0,0732582cf4510089212717816d2151f5706c7b361123be32cc353bdf4b7f78e6,8352d4ff0e33f246a22da8516812bf8ff3ddbdecb6a6435fbcf08e9edcf989ab,18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7,673621352
+5gnidd,0.5,1,10,9,851123,851123,9,0,0,31613,140144,4.433112959858287,5,0,0,10,1.0506716688269377,1.4400757602882683,5065.0,f43906e111a8342c102237fe21090b64cadcc6e94c77db0deee1497e87e86801,0815c91ed82fe7e1502a49fa1de050fea9d5b037d051a0c3fb900d3a0f7bfa08,3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e,1403944623
+5gnidd,0.5,2,10,9,851123,851123,9,2,2,20087,255463,12.717827450589933,6,2,1,10,1.4006658705096433,1.9640881124634801,3363.5,fe8b4fc6f0486cf4fadf97ea0e096e8c7439fadb1f4e747336313b3bfd52d023,fdcf388e31658ae11a6068e9dc2c6f27ef1567ecce60855efe6d8e3dc75cebf6,fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f,633461056
+5gnidd,0.75,0,10,9,851123,851123,9,2,3,38839,143547,3.6959499472180024,6,2,1,10,0.9692475038471602,1.2651419073123291,7642.5,96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5,74a91845627dbe57efab9a5cf94e37bcce98ce38edb7936a8c1cbd8f040d3dc8,18f89f4807de5493e83cbc19a87df51268050c5fb3a12f286e64c3115073dea7,892370747
+5gnidd,0.75,1,10,9,851123,851123,9,2,2,17861,202829,11.355971110240189,6,2,1,10,0.8540793111089487,1.103376116305731,545.4,007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3,fc04ba00f4942bf9983ad8de50a86e066f83ba17a806195c0205498c3d34f69c,3d05b7fe48d5a06ce5076eb60084349adc777872a54ddd566f7461f2f0c3579e,1817661572
+5gnidd,0.75,2,10,9,851123,851123,9,0,0,49537,191908,3.87403355067929,6,0,0,10,0.925302901177657,1.1912979653269113,445.0,3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d,4ee33d0a28326ae1d0e5574a8cd850068ef4ec1cc631b7366daab65b3e22ca86,fc758d060dc51dec113b118e07cda6a012b5bd825aa64fb515d595cd1684417f,306220443
diff --git a/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_summary.csv b/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_summary.csv
new file mode 100644
index 0000000..a89681d
--- /dev/null
+++ b/artifacts/analysis/5gnidd__cross_alpha__partition_heterogeneity_summary.csv
@@ -0,0 +1,3 @@
+dataset,alpha,n_seeds,cells_sj_lt_M_total,cells_total,missing_client_class_cells_total,client_size_ratio_mean,client_size_ratio_max,union_unseen_mean,max_unseen_on_client,union_rare_mean,support_cv_mean,support_max_min_ratio_max
+5gnidd,0.5,3,4,27,4,9.594308791178781,12.717827450589933,1.3333333333333333,1,5.666666666666667,1.2251708481787265,88943.0
+5gnidd,0.75,3,4,27,5,6.308651536045827,11.355971110240189,1.3333333333333333,1,6.0,0.9162099053779219,7642.5
diff --git a/docs/handoff/SESSION_HANDOFF.md b/docs/handoff/SESSION_HANDOFF.md
index a1f2f14..2c970c5 100644
--- a/docs/handoff/SESSION_HANDOFF.md
+++ b/docs/handoff/SESSION_HANDOFF.md
@@ -3,26 +3,26 @@
 This is the canonical continuation point for the next agent session. It is written to be
 readable without prior chat history, terminal scrollback, or git history.
 
-Last updated: 2026-09-28 (Session 9). Session 9 type: **first cross-dataset (5G-NIDD)
-beta-validation condition**. Sessions 6–8 completed the X-IIoTID three-alpha study
-(`alpha=0.25/0.50/0.75`, seeds `{0,1,2}`). Session 9 ran **only** 5G-NIDD `alpha=0.50` for seeds
-`{0,1,2}` across the five frozen beta candidates plus `original_protean`, using the same
-pooled-across-seed validation-only selection rule. **5G-NIDD alpha=0.25 and alpha=0.75 were NOT
-run.** No commit or push was made.
+Last updated: 2026-09-29 (Session 10). Session 10 type: **second 5G-NIDD beta-validation
+condition**. Sessions 6–8 completed the X-IIoTID three-alpha study (`alpha=0.25/0.50/0.75`,
+seeds `{0,1,2}`); Session 9 ran 5G-NIDD `alpha=0.50` for seeds `{0,1,2}`. Session 10 ran **only**
+5G-NIDD `alpha=0.75` for seeds `{0,1,2}` across the five frozen beta candidates plus
+`original_protean`, using the same pooled-across-seed validation-only selection rule.
+**5G-NIDD alpha=0.25 was NOT run.** No commit or push was made.
 
-> **Audit status (Session 9).** Independent audit verdict: **PASS**
-> (`docs/research/SESSION9_AUDIT.md`). `beta_star(5gnidd, alpha=0.50) = 1.00` confirmed from
-> validation only; reuse decision resolved; run inventory 18/18; pairing hash-identical and
-> reproduced from raw data; rare/unseen 0 mismatches over 270 cells; leakage audit PASS; `beta=0`
-> class **B**; source/data integrity PASS; pytest 75 passed. **Session 9 is safe to checkpoint.**
+> **Audit status (Session 10).** Independent audit verdict: **PASS**
+> (`docs/research/SESSION10_AUDIT.md`). `beta_star(5gnidd, alpha=0.75) = 0.50` confirmed from
+> validation only; run inventory 18/18; pairing hash-identical and reproduced from raw data;
+> rare/unseen 0 mismatches over 1,620 cells; leakage audit PASS; `beta=0` class **B**; source/data
+> integrity PASS; pytest 75 passed. **Session 10 is safe to checkpoint.**
 
-> **Headline (Session 9).** PRIMARY pooled-validation selected beta for 5G-NIDD `alpha=0.50` =
-> **1.00** (validation only; per-seed diagnostics 1.00 / 0.00 / 1.00). The pooled validation curve
-> is **non-monotone** (0.687 → 0.645 → 0.675 → 0.688 → 0.692) and the total between-beta spread
-> (≈ 0.047) is comparable to the between-seed std (0.053–0.139), so the selection is statistically
-> weak. `beta=0` is class **B** for all three seeds. The pre-existing seed-0 baseline was **not
-> reused** (missing validation artifacts); the fresh rerun reproduces its training outputs
-> byte-identically. X-IIoTID alpha=0.50 selected 0.75; the two datasets differ descriptively.
+> **Headline (Session 10).** PRIMARY pooled-validation selected beta for 5G-NIDD `alpha=0.75` =
+> **0.50** (validation only; per-seed diagnostics 0.50 / 1.00 / 1.00). The pooled validation curve
+> is **non-monotone** (0.778 → 0.790 → 0.809 → 0.792 → 0.804) and the total between-beta spread
+> (≈ 0.031) is smaller than the between-seed std (0.051–0.065), so the selection is statistically
+> weak. `beta=0` is class **B** for all three seeds. At alpha=0.75 the rare-class union is
+> **identical across seeds** and realized support imbalance is lower than at alpha=0.50, yet the
+> number of `|S_j|<M` cells is unchanged (4/27) and missing cells are slightly higher (5 vs 4).
 
 ---
 
@@ -55,39 +55,40 @@ bitwise identical to the baseline (see §7).
   `7b9290057ee42e784da3c0d84b781815502c9205c74175c96374e71a5ffd98a0`.
 - Frozen baseline (`original_protean`) source unchanged; no `equal_available` mode added; beta
   candidate set unchanged (`{0, .25, .5, .75, 1}`). No tracked source/test/config file differs
-  from HEAD. The only modified tracked file is this handoff.
+  from HEAD. The only new tracked-class file candidates are the new docs/artifacts listed in §16.
 
-## 3. Session 9 objective and outcome
+## 3. Session 10 objective and outcome
 
-Objective: begin the 5G-NIDD phase conservatively — Stage A verification, then (if clean) **one**
-condition: 5G-NIDD `alpha=0.50`, seeds `{0,1,2}`, `original_protean` + five betas.
+Objective: run exactly **one** new condition — 5G-NIDD `alpha=0.75`, seeds `{0,1,2}`,
+`original_protean` + five betas — after a Stage-A verification gate. Do not run alpha=0.25, do not
+launch the grid, do not change methodology.
 
-Stage A result: raw hash valid; all nine 5G-NIDD manifests (alpha 0.25/0.50/0.75 × seeds) reproduce
-exactly from raw data; label semantics and rare/unseen logic valid; pre-existing seed-0 baseline
-not reusable. Gate = **GO**.
+Stage A result: raw hash valid; all three 5G-NIDD `alpha=0.75` manifests reproduce exactly from raw
+data (support match, partition-hash match); label semantics and rare/unseen logic valid; pairing
+framework valid. Gate = **GO**.
 
-Outcome: 18/18 runs rc=0. **PRIMARY pooled-validation selected beta = 1.00** (validation only);
-`test_used_for_selection = false` for all 15 runs. Pooled means: 0.00 → 0.687230,
-0.25 → 0.645078, 0.50 → 0.674669, 0.75 → 0.688368, 1.00 → 0.692370. Reports:
-`docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md`, audit `docs/research/SESSION9_AUDIT.md`.
+Outcome: 18/18 runs rc=0. **PRIMARY pooled-validation selected beta = 0.50** (validation only);
+`test_used_for_selection = false` for all 15 runs. Pooled means: 0.00 → 0.778094, 0.25 → 0.790483,
+0.50 → 0.809081, 0.75 → 0.791530, 1.00 → 0.804306. Reports:
+`docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md`, audit `docs/research/SESSION10_AUDIT.md`.
 
 ## 4. Condition and pairing
 
 | Field | Value |
 |---|---|
-| dataset / alpha / seeds | `5gnidd` / 0.50 / `{0,1,2}` |
+| dataset / alpha / seeds | `5gnidd` / 0.75 / `{0,1,2}` |
 | runs | 15 `support_weighted` + 3 `original_protean`, all new this session |
 | training | 10 clients, 10 rounds, 3 local epochs, batch 256, lr 1e-3, mu 0.1, lambda 1.0, Adam |
-| code revision | unchanged from HEAD `2d27abc35026456de765c929dbcf0503a72ac572`; only docs/analysis added |
+| code revision | unchanged from HEAD `a7f2b0049e99fb66021b4660b82a48d5dbbef072`; only docs/analysis added |
 
 Manifests (reused, never regenerated; one content hash per seed across all six runs; each
 reproduced from the raw dataset with split/`N_ij`/partition hash verified):
 
 | seed | manifest content hash | partition hash | split hash | rng seed | round-0 snapshot SHA-256 |
 |---|---|---|---|---|---|
-| 0 | `0732582cf4510089…` | `8352d4ff…` | `18f89f48…` | 673621352 | `eb0839f2595727…` |
-| 1 | `f43906e111a8342c…` | `0815c91e…` | `3d05b7fe…` | 1403944623 | `6cbd04e0dd97bb…` |
-| 2 | `fe8b4fc6f0486cf4…` | `fdcf388e…` | `fc758d06…` | 633461056 | `f012a02b543b92…` |
+| 0 | `96cd9b90b71895da…` | `74a91845627dbe57…` | `18f89f48…` | 892370747 | `266a6e9976d5c138…` |
+| 1 | `007c23564a44919b…` | `fc04ba00f4942bf9…` | `3d05b7fe…` | 1817661572 | `acecab9a60852e45…` |
+| 2 | `3134bea2d47a7336…` | `4ee33d0a28326ae1…` | `fc758d06…` | 306220443 | `ef90c51aa9998ec8…` |
 
 Splits: train/validation/test = 851,123 / 121,589 / 243,177 for every seed (10 clients, 9 classes,
 `Benign`). `train_support_Nij.csv`, `characterization.csv`, `rare_unseen.csv` identical across each
@@ -97,60 +98,61 @@ hashes.
 ## 5. Validation results (USED FOR SELECTION) and pooled selection
 
 Primary metric: validation per-client-mean rare-class macro-F1. All 10 clients eligible in every
-seed. Full tables: `artifacts/analysis/5gnidd__alpha0.5__multiseed__validation_per_seed.csv`.
+seed. Full tables: `artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv`.
 
 Per-seed validation per-client-mean rare-class macro-F1:
 
 | beta | seed 0 | seed 1 | seed 2 |
 |---|---|---|---|
-| 0.00 | 0.738597 | 0.633243 | 0.689849 |
-| 0.25 | 0.661461 | 0.573717 | 0.700055 |
-| 0.50 | 0.764487 | 0.563388 | 0.696131 |
-| 0.75 | 0.750661 | 0.543319 | 0.771124 |
-| 1.00 | 0.768877 | 0.531764 | 0.776468 |
+| 0.00 | 0.834681 | 0.763787 | 0.735812 |
+| 0.25 | 0.823388 | 0.821190 | 0.726871 |
+| 0.50 | **0.836792** | 0.848836 | 0.741617 |
+| 0.75 | 0.824667 | 0.833255 | 0.716668 |
+| 1.00 | 0.815774 | **0.852469** | **0.744677** |
 
 Pooled across seeds (`...__validation_pooled.csv`):
 
 | beta | pooled mean | std (sample) | min | max | selected |
 |---|---|---|---|---|---|
-| 0.00 | 0.687230 | 0.052726 | 0.633243 | 0.738597 | |
-| 0.25 | 0.645078 | 0.064743 | 0.573717 | 0.700055 | |
-| 0.50 | 0.674669 | 0.102253 | 0.563388 | 0.764487 | |
-| 0.75 | 0.688368 | 0.126032 | 0.543319 | 0.771124 | |
-| **1.00** | **0.692370** | 0.139140 | 0.531764 | 0.776468 | **yes** |
+| 0.00 | 0.778094 | 0.050963 | 0.735812 | 0.834681 | |
+| 0.25 | 0.790483 | 0.055100 | 0.726871 | 0.823388 | |
+| **0.50** | **0.809081** | 0.058735 | 0.741617 | 0.848836 | **yes** |
+| 0.75 | 0.791530 | 0.064974 | 0.716668 | 0.833255 | |
+| 1.00 | 0.804306 | 0.054803 | 0.744677 | 0.852469 | |
 
-- **PRIMARY selected beta (`beta_star_5gnidd_alpha050`) = 1.00**, max pooled validation
+- **PRIMARY selected beta (`beta_star_5gnidd_alpha075`) = 0.50**, max pooled validation
   per-client-mean rare-class macro-F1; **no tie-break used**; validation-only.
-- **SECONDARY per-seed diagnostics only:** seed 0 → 1.00, seed 1 → 0.00, seed 2 → 1.00.
-- Between-beta spread ≈ 0.047; between-seed std 0.053–0.139 → statistically weak, descriptive.
+- **SECONDARY per-seed diagnostics only:** seed 0 → 0.50, seed 1 → 1.00, seed 2 → 1.00.
+- Between-beta spread ≈ 0.031; between-seed std 0.051–0.065 → statistically weak, descriptive.
 
 ## 6. Final test evaluation of the pooled-selected beta
 
-`beta_star = 1.00` was fixed from pooled validation before test was read.
+`beta_star = 0.50` was fixed from pooled validation before test was read.
 
 | metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) |
 |---|---|---|---|---|
-| rare-class macro-F1 | 0.880962 | 0.840075 | 0.894914 | 0.871984 ± 0.028501 |
-| rare-class recall | 0.974355 | 0.968341 | 0.958616 | 0.967104 ± 0.007942 |
-| macro-F1 | 0.850470 | 0.815941 | 0.849378 | 0.838596 ± 0.019627 |
-| accuracy | 0.742838 | 0.744026 | 0.742907 | 0.743257 ± 0.000667 |
-| weighted-F1 | 0.716950 | 0.720106 | 0.717530 | 0.718195 ± 0.001680 |
+| rare-class macro-F1 | 0.904447 | 0.905721 | 0.880045 | 0.896738 ± 0.014470 |
+| rare-class recall | 0.958666 | 0.959723 | 0.960715 | 0.959701 ± 0.001025 |
+| macro-F1 | 0.857309 | 0.859939 | 0.842201 | 0.853150 ± 0.009572 |
+| accuracy | 0.749508 | 0.754381 | 0.752933 | 0.752274 ± 0.002503 |
+| weighted-F1 | 0.723885 | 0.730109 | 0.728408 | 0.727467 ± 0.003217 |
 
 `original_protean` for the same seeds/condition:
 
 | metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) |
 |---|---|---|---|---|
-| rare-class macro-F1 | 0.871964 | 0.921136 | 0.848525 | 0.880542 ± 0.037058 |
-| rare-class recall | 0.974314 | 0.968566 | 0.975859 | 0.972913 ± 0.003843 |
-| macro-F1 | 0.836881 | 0.865437 | 0.824867 | 0.842395 ± 0.020840 |
-| accuracy | 0.734416 | 0.747377 | 0.750133 | 0.743975 ± 0.008393 |
-| weighted-F1 | 0.708765 | 0.722802 | 0.724622 | 0.718730 ± 0.008678 |
+| rare-class macro-F1 | 0.905589 | 0.860758 | 0.873356 | 0.879901 ± 0.023121 |
+| rare-class recall | 0.961285 | 0.959036 | 0.963321 | 0.961214 ± 0.002144 |
+| macro-F1 | 0.857109 | 0.829867 | 0.837238 | 0.841405 ± 0.014091 |
+| accuracy | 0.747048 | 0.754072 | 0.751745 | 0.750955 ± 0.003578 |
+| weighted-F1 | 0.721059 | 0.729950 | 0.727133 | 0.726047 ± 0.004544 |
 
 Descriptive difference for test rare-class macro-F1 (`beta_star` − `original_protean`) is
-+0.008998 / −0.081061 / +0.046389 (mean −0.008558). Test is descriptive only; no superiority or
-generalisation claimed. Note 5G-NIDD test weighted-F1 (`≈0.718`) sits **below** accuracy
-(`≈0.744`) — the opposite of X-IIoTID — because the high-support classes are the harder ones for
-nearest-prototype inference.
+−0.001141 / +0.044963 / +0.006689 (mean +0.016837). Test is descriptive only; no superiority or
+generalisation claimed. The global rare evaluation support is **28,000 for every seed** (rare-class
+union identical across seeds at alpha=0.75), so cross-seed test levels are directly comparable at
+this condition. Test weighted-F1 (`≈0.727`) again sits **below** accuracy (`≈0.752`), as at
+alpha=0.50.
 
 ## 7. `beta = 0` equivalence result (all three seeds)
 
@@ -159,157 +161,152 @@ For seeds 0, 1, 2, `support_weighted beta=0` vs frozen `original_protean`:
 - Same manifest/split/hashes, round-0 snapshot byte-identical, support/char/rare_unseen
   identical: **yes** for all three.
 - Independent aggregation (`ΣC/n` vs `(1/n)ΣC`): 4.4e-16 / 4.4e-16 / 4.4e-16.
-- History rare-macro-F1 max diff (rounds ≥ 1): 1.93e-2 / 6.01e-2 / 2.60e-2; test metric max diff
-  2.33e-3 / 1.86e-4 / 8.70e-3.
+- History rare-macro-F1 max diff (rounds ≥ 1): 3.22e-2 / 5.04e-2 / 2.72e-2; test metric max diff
+  5.22e-3 / 5.32e-3 / 2.74e-4.
 - Classification: **B** in all seeds — semantic equivalence + floating-point divergence; no
   semantic discrepancy. Machine-readable:
-  `artifacts/analysis/5gnidd__alpha0.5__multiseed__beta0_equivalence.csv`.
+  `artifacts/analysis/5gnidd__alpha0.75__multiseed__beta0_equivalence.csv`.
 
 Conditional on the shared `S_j` reproduction assumption; not proof `beta=0` reproduces original
 PROTEAN.
 
-## 8. Partition characterization (realized) and dataset structure
+## 8. Partition characterization (realized) and comparison with alpha=0.50
 
-5G-NIDD `alpha=0.50` (training split), `M = 10`:
+5G-NIDD `alpha=0.75` (training split), `M = 10`:
 
 | seed | `|S_j| < M` cells | missing client-class cells | client-size ratio | union rare | union unseen | max unseen/client |
-|---|---|---|---|---|---|---|
-| 0 | 2 / 9 | 2 | 11.63 | 6 | 2 | 1 |
-| 1 | 0 / 9 | 0 | 4.43 | 5 | 0 | 0 |
-| 2 | 2 / 9 | 2 | 12.72 | 6 | 2 | 1 |
-| **sum/mean** | **4 / 27** | **4** | mean **9.59** | 6/5/6 | 2/0/2 | 1 |
+|---|---|---|---|---|---|---|---|
+| 0 | 2 / 9 | 3 | 3.70 | 6 | 2 | 1 |
+| 1 | 2 / 9 | 2 | 11.36 | 6 | 2 | 1 |
+| 2 | 0 / 9 | 0 | 3.87 | 6 | 0 | 0 |
+| **sum/mean** | **4 / 27** | **5** | mean **6.31** | 6/6/6 | 2/2/0 | 1 |
 
-All 10 clients have exactly two rare classes and are eligible in every seed; mean class-support
-CV = **1.225**. Full tables:
-`artifacts/analysis/5gnidd__alpha0.5__partition_heterogeneity_*.csv` and
+All 10 clients have exactly two rare classes and are eligible in every seed. **The rare-class union
+is identical across all three seeds** (`{ICMPFlood, SYNFlood, SYNScan, SlowrateDoS, TCPConnectScan,
+UDPScan}`), so test rare support is constant (28,000). Mean class-support CV = **0.916**. Missing
+cells are single-client gaps: seed 0 (`ICMPFlood` c0/c3, `SYNFlood` c4), seed 1 (`ICMPFlood` c3,
+`SYNScan` c6). Full tables:
+`artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_*` and
 `...__partition_characterization.csv`.
 
-### Comparison with X-IIoTID alpha=0.50 (descriptive)
+### Comparison with 5G-NIDD alpha=0.50 (descriptive)
 
-| statistic | 5G-NIDD a0.50 | X-IIoTID a0.50 |
+| statistic | 5G-NIDD a0.50 | 5G-NIDD a0.75 |
 |---|---|---|
-| pooled-selected beta | **1.00** | **0.75** |
-| pooled validation mean range (spread) | 0.645–0.692 (0.047) | 0.544–0.579 (0.035) |
-| pooled validation std range | 0.053–0.139 | 0.075–0.100 |
-| `|S_j| < M` cells (sum/27) | **4/27** | 7/27 |
-| missing client-class cells | **4** | 9 |
-| client-size ratio mean | **9.59** | 7.41 |
-| mean class-support CV | 1.225 | 1.183 |
-| union rare per seed | 6/5/6 | 6/7/7 |
-| union unseen per seed | 2/0/2 | 3/3/1 |
-| mean displacement ‖Cbar(1)−Cbar(0)‖ | 2.340 | 2.099 |
-| selected-beta client improve/degrade | 6/3, 3/5, 7/2 | 7/3, 8/1, 8/1 |
+| pooled-selected beta | **1.00** | **0.50** |
+| pooled validation mean range (spread) | 0.645–0.692 (0.047) | 0.778–0.809 (0.031) |
+| pooled validation std range | 0.053–0.139 | 0.051–0.065 |
+| `|S_j| < M` cells (sum/27) | 4/27 | 4/27 |
+| missing client-class cells | 4 | 5 |
+| client-size ratio mean | 9.59 | 6.31 |
+| mean class-support CV | 1.225 | 0.916 |
+| union rare per seed | 6/5/6 | 6/6/6 |
+| union unseen per seed | 2/0/2 | 2/2/0 |
+| test rare support per seed | 104,843 / 13,375 / 128,995 | 28,000 / 28,000 / 28,000 |
+| mean displacement `‖Cbar(1)−Cbar(0)‖` | 2.340 | 1.385 |
+| selected-beta client improve/degrade | 6/3, 3/5, 7/2 | 4/6, 6/3, 4/2 |
+| `beta=0` class | B/B/B | B/B/B |
 
-5G-NIDD has fewer missing class cells but more imbalanced client sizes; the selected beta differs
-descriptively. No causal or monotone claim; only two datasets, one condition each.
+Higher alpha lowers **mean** support imbalance and mean displacement, but the number of
+`|S_j|<M` cells is unchanged and missing cells rise. No causal or monotone claim (two alpha levels).
+Machine-readable cross-alpha artifacts: `artifacts/analysis/5gnidd__cross_alpha__*`.
 
 ## 9. Direct prototype-effect findings (fixed round-0 snapshots, no retraining)
 
-`||Cbar_j(1) − Cbar_j(0)||`, cross-seed mean (std), 5G-NIDD alpha=0.50:
+`||Cbar_j(1) − Cbar_j(0)||`, cross-seed mean (std), 5G-NIDD alpha=0.75:
 
 | class | mean disp | std |
 |---|---|---|
-| UDPScan | 3.461 | 2.011 |
-| HTTPFlood | 3.120 | 1.289 |
-| SYNScan | 2.875 | 0.959 |
-| SlowrateDoS | 2.763 | 1.454 |
-| SYNFlood | 2.262 | 0.748 |
-| TCPConnectScan | 2.131 | 0.213 |
-| Benign | 1.690 | 0.699 |
-| UDPFlood | 1.598 | 0.428 |
-| ICMPFlood | 1.159 | 0.093 |
+| UDPScan | 2.445 | 0.484 |
+| SYNFlood | 1.897 | 0.171 |
+| SlowrateDoS | 1.565 | 0.654 |
+| SYNScan | 1.563 | 0.640 |
+| HTTPFlood | 1.366 | 0.544 |
+| TCPConnectScan | 1.226 | 0.476 |
+| UDPFlood | 0.903 | 0.103 |
+| Benign | 0.824 | 0.272 |
+| ICMPFlood | 0.673 | 0.331 |
 
-Mean across classes **2.340** at beta=1.0 (monotone: 0.953 / 1.567 / 2.003 / 2.340 for beta
-0.25/0.50/0.75/1.00). Seed-sensitive (e.g. UDPScan 1.42 / 3.52 / 5.44). Displacement is a
-direct-aggregation measure only, not a detection result. Outputs:
-`...__prototype_effect_pooled.csv` and per-seed `...__prototype_effect.csv` / `...__prototype_weights.csv`.
+Mean across classes **1.385** at beta=1.0 (monotone: 0.497 / 0.875 / 1.163 / 1.385 for beta
+0.25/0.50/0.75/1.00), smaller than at alpha=0.50 (2.340). Displacement is a direct-aggregation
+measure only, not a detection result. Outputs:
+`artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv` and per-seed
+`...__prototype_effect.csv` / `...__prototype_weights.csv`.
 
 ## 10. Client-level findings (validation, vs beta = 0)
 
 Detail: `...__client_validation_detail.csv`; summary: `...__client_validation_summary.csv`.
 
-At the selected `beta=1.00`: **6/3/1** (seed 0, mean Δ +0.030), **3/5/2** (seed 1, mean Δ −0.101;
-worst client −0.656), **7/2/1** (seed 2, mean Δ +0.087). The response is seed-dependent and
-`N_ij` vs ΔF1 is non-monotonic. Client ids are per-seed realisations and are not pooled.
+At the selected `beta=0.50`: **4/6/0** (seed 0, mean Δ +0.0021, range −0.0434…+0.0744),
+**6/3/1** (seed 1, mean Δ +0.0850, range −0.0172…+0.2667), **4/2/4** (seed 2, mean Δ +0.0058).
+The response is seed-dependent and `N_ij` vs ΔF1 is non-monotonic. Client ids are per-seed
+realisations and are not pooled.
 
 ## 11. Runtime / resources
 
-CPU only, no GPU, no swap, exit 0 on all 18 runs. Per-run wall-clock 62–68 min; CPU 734–745 %;
-peak RSS 10.36 GiB (seed 0), 8.67 GiB (seed 1), 14.04 GiB (seed 2). New compute: 18 runs,
-69,336 s ≈ **19.26 h** wall-clock, sequential (8 cores). Machine-readable:
-`artifacts/analysis/5gnidd__alpha0.5__multiseed__runtime.csv`.
+CPU only, no GPU, no swap, exit 0 on all 18 runs. Per-run wall-clock 61:55–66:37; CPU 738–745 %;
+peak RSS ~8.69 GiB (seed 0), ~11.78 GiB (seed 1), ~11.00 GiB (seed 2). New compute: 18 runs,
+**69,064 s ≈ 19.18 h** wall-clock, sequential (8 cores). Machine-readable:
+`artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv`.
 
 ## 12. Methodological decisions / assumptions
 
 1. **`S_j` participant/denominator rule** (`S_j = {i | N_ij > 0 and valid C_ij}`, equal weights in
-   the baseline) is a **REPRODUCTION ASSUMPTION**; material in only **4/27** class-condition cells
-   at 5G-NIDD alpha=0.50. Carry this caveat in all reporting.
+   the baseline) is a **REPRODUCTION ASSUMPTION**; material in **4/27** class-condition cells at
+   5G-NIDD alpha=0.75. Carry this caveat in all reporting.
 2. `N_ij` is class-specific sample support, not prototype quality.
 3. Beta is one value for all classes/clients; candidates frozen at `{0,.25,.5,.75,1}`.
 4. **PRIMARY selection = pooled validation across clients and seeds**; per-seed selection is
    secondary stability diagnostics; test used only after the pooled beta is fixed.
 5. No new source scripts this session; analysis used the existing read-only
    `analyze_partition_heterogeneity.py`, `analyze_prototype_effect.py`, `analyze_multiseed_beta.py`,
-   `verify_beta0_equivalence.py`. Ad-hoc Stage-A/audit helpers live only under
-   `/tmp/opencode/s9/` (outside the repo).
+   `verify_beta0_equivalence.py`, `analyze_cross_alpha.py`. Ad-hoc Stage-A/audit helpers live only
+   under `/tmp/opencode/s10/` (outside the repo).
 6. `lambda=1.0`, Adam, lr 1e-3, batch 256 remain PROJECT DECISIONS. No `equal_available` mode.
 
 ## 13. Unresolved questions / blockers
 
 1. `S_j` reproduction ambiguity — unresolved; no official PROTEAN code exists.
 2. Pooled beta selection remains statistically weak at all measured conditions: across-seed std is
-   comparable to or larger than the between-beta spread. No inferential test was performed.
+   comparable to the between-beta spread. No inferential test was performed.
 3. `beta = 0` is not bitwise identical to `original_protean`; documentation decision still open.
 4. Session-2 manifests still store `preprocessing_hash = null` / `config_hash = null`.
-5. Only 5G-NIDD alpha=0.50 (one condition) measured; no 5G-NIDD alpha=0.25/0.75 result; no
-   cross-alpha 5G-NIDD or cross-dataset causal claim.
-6. The selected beta differs across datasets (5G-NIDD 1.00 vs X-IIoTID 0.75) but no trend or
-   causality is claimed.
+5. 5G-NIDD now has alpha=0.50 (1.00) and alpha=0.75 (0.50); **alpha=0.25 remains unmeasured**, so
+   no 5G-NIDD alpha→beta trend can be stated.
+6. The selected beta differs across datasets/conditions (5G-NIDD a0.50 = 1.00, a0.75 = 0.50;
+   X-IIoTID a0.75 = 0.50) but no trend or causality is claimed.
 
 ## 14. Git status
 
-No commit or push was made. `HEAD = 2d27abc35026456de765c929dbcf0503a72ac572`, branch `main`,
-in sync with `origin/main`. `git status --short` shows only untracked docs/analysis artifacts and
-the modified handoff; `results/` is gitignored:
+No commit or push was made. `HEAD = a7f2b0049e99fb66021b4660b82a48d5dbbef072`, branch `main`,
+in sync with `origin/main`. `git status --short` shows only untracked docs/analysis artifacts (no
+tracked modification); `results/` is gitignored. `planningawal/` and both raw datasets are
+unchanged. `equal_available` absent. No test-based selection. The 18 runs are the only
+`results/5gnidd__alpha0.75__*` directories.
 
-```
- M docs/handoff/SESSION_HANDOFF.md
-?? docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md
-?? docs/research/SESSION9_AUDIT.md
-?? artifacts/analysis/5gnidd__alpha0.5__*   (46 files: snapshots, multiseed tables, effect/weights,
-                                             partition characterization, beta0 equivalence, runtime,
-                                             audit_recomputation)
-?? (pre-existing Session-5/6/7/8 untracked views, unchanged)
-```
+## 15. Session 10 audit result
 
-No tracked source/test/config file differs from HEAD. `planningawal/` and both raw datasets are
-unchanged. `artifacts/partitions/` unmodified. `equal_available` absent. No 5G-NIDD
-`support_weighted` run before this session; no 5G-NIDD alpha=0.25/0.75 run. The pre-existing
-`5gnidd__alpha0.5__seed0__original_protean` was overwritten in place by the fresh rerun (backed up
-to `/tmp/opencode/s9/old_baseline_backup/`).
-
-## 15. Session 9 audit result
-
-- Verdict: **PASS** (`docs/research/SESSION9_AUDIT.md`).
+- Verdict: **PASS** (`docs/research/SESSION10_AUDIT.md`).
 - Run inventory 18/18, pairing hash-identical, manifests reproduced from raw data.
-- Validation recomputed exactly; **pooled `beta_star(5gnidd, alpha=0.50) = 1.00`** (validation
+- Validation recomputed exactly; **pooled `beta_star(5gnidd, alpha=0.75) = 0.50`** (validation
   only). Selected-beta test and `original_protean` test means/stds exact.
 - Leakage audit PASS; `test_used_for_selection=false` upheld.
-- Rare/unseen integrity PASS (0 mismatches / 270 cells). `beta=0` equivalence class **B**.
-- Reuse decision PASS (not reused; rerun reproduces old baseline exactly).
-- Direct-effect, client-level, cross-dataset labels: PASS.
-- Source/data integrity PASS. pytest: **75 passed, 0 failed, 0 skipped, 0 warnings**.
+- Rare/unseen integrity PASS (0 mismatches / 1,620 cells). `beta=0` equivalence class **B**.
+- Direct-effect, client-level, cross-condition labels: PASS.
+- Source/data integrity PASS. pytest: **75 passed, 0 failed, 0 skipped**.
 
 ## 16. Files created / modified this session
 
 Created:
 
-- `docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md`
-- `docs/research/SESSION9_AUDIT.md`
-- `artifacts/analysis/5gnidd__alpha0.5__*` (46 files: 18 prototype snapshots, 6 prototype
-  effect/weights CSVs, multiseed validation/client/test/effect/beta0/runtime tables,
-  partition heterogeneity + characterization, audit recomputation)
-- `results/5gnidd__alpha0.5__seed{0,1,2}__*` (18 run dirs, gitignored)
+- `docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md`
+- `docs/research/SESSION10_AUDIT.md`
+- `artifacts/analysis/5gnidd__alpha0.75__*` — 18 prototype snapshots + 6 per-seed
+  effect/weights CSVs + `5gnidd__alpha0.75__multiseed__*` (validation per-seed/pooled,
+  client detail/summary/deltas, test descriptive, prototype effect pooled, beta0 equivalence,
+  runtime, selection summary, audit recomputation) + `5gnidd__alpha0.75__partition_heterogeneity_*`
+  + `5gnidd__alpha0.75__partition_characterization.csv` + `5gnidd__cross_alpha__*`
+- `results/5gnidd__alpha0.75__seed{0,1,2}__*` (18 run dirs, gitignored)
 
 Modified:
 
@@ -319,20 +316,20 @@ No source or test code was changed.
 
 ## 17. Exact recommended next phase
 
-1. **Session 9 is audited and safe to checkpoint** (verdict PASS; see §15 and
-   `docs/research/SESSION9_AUDIT.md`). Before checkpointing, stage only the intended
+1. **Session 10 is audited and safe to checkpoint** (verdict PASS; see §15 and
+   `docs/research/SESSION10_AUDIT.md`). Before checkpointing, stage only the intended
    docs/analysis artifacts; do not commit `results/` or the raw datasets.
-2. **5G-NIDD alpha=0.50 is complete.** Next 5G-NIDD condition (alpha=0.75 or alpha=0.25) is
-   **safe to run** — its manifest already exists and reproduces from raw data, the pipeline is
-   stable, and the same frozen protocol applies. Budget **≈19 h per condition** (18 runs × ~64 min)
-   and run **one condition at a time**; do not launch the full grid blindly. A single condition,
-   then inspect, then proceed is recommended.
+2. **5G-NIDD alpha=0.50 and alpha=0.75 are complete.** The final 5G-NIDD condition, **alpha=0.25**,
+   is **safe to run** — its manifest already exists and reproduces from raw data, the pipeline is
+   stable, and the same frozen protocol applies. Budget **≈19 h** (18 runs × ~64 min) and run
+   **one condition at a time**; do not launch the grid blindly.
 3. Follow the same pooled validation-only selection rule; report each selected beta as "best among
    the tested candidates under pooled validation for that condition" — never a global optimum.
-4. Do not infer a monotone alpha→beta relation from three X-IIoTID conditions or from a single
-   5G-NIDD condition; do not claim dataset causality from two datasets.
-5. Update `EXPERIMENT_PROTOCOL.md` only if a real ambiguity appears; update this handoff.
-6. Do not commit or push unless asked.
+4. After alpha=0.25, build the 5G-NIDD cross-alpha comparison (alpha=0.25/0.50/0.75) analogous to
+   `XIIOTID_CROSS_ALPHA_ANALYSIS.md`, and only then consider cross-dataset discussion.
+5. Do not infer a monotone alpha→beta relation; do not claim dataset causality.
+6. Update `EXPERIMENT_PROTOCOL.md` only if a real ambiguity appears; update this handoff.
+7. Do not commit or push unless asked.
 
 ## 18. Important commands
 
@@ -340,39 +337,42 @@ No source or test code was changed.
 # Tests (75 expected)
 .venv/bin/python -m pytest
 
-# One full paired beta run (CPU, ~63-68 min, ~8.7-14.1 GiB for 5G-NIDD)
-.venv/bin/python scripts/run_baseline.py --dataset 5gnidd --alpha 0.5 --seed 1 \
+# One full paired beta run (CPU, ~62-67 min, ~8.7-11.8 GiB for 5G-NIDD)
+.venv/bin/python scripts/run_baseline.py --dataset 5gnidd --alpha 0.75 --seed 1 \
     --clients 10 --rounds 10 --local-epochs 3 \
     --aggregation-mode support_weighted --beta 1.0
 
 # Pooled multi-seed validation analysis (read-only, no retraining)
-.venv/bin/python scripts/analyze_multiseed_beta.py --dataset 5gnidd --alpha 0.5 --seeds 0 1 2
+.venv/bin/python scripts/analyze_multiseed_beta.py --dataset 5gnidd --alpha 0.75 --seeds 0 1 2
 
 # Direct prototype-effect analysis (no retraining)
 .venv/bin/python scripts/analyze_prototype_effect.py \
-    --snapshot artifacts/analysis/5gnidd__alpha0.5__seed0__support_weighted__beta0__prototype_snapshot.json \
+    --snapshot artifacts/analysis/5gnidd__alpha0.75__seed0__support_weighted__beta0__prototype_snapshot.json \
     --class-names "Benign,HTTPFlood,ICMPFlood,SYNFlood,SYNScan,SlowrateDoS,TCPConnectScan,UDPFlood,UDPScan" \
     --output-dir artifacts/analysis
 
-# Realized partition characterization
-.venv/bin/python scripts/analyze_partition_heterogeneity.py --dataset 5gnidd --alphas 0.5
+# Realized partition characterization (cross-alpha)
+.venv/bin/python scripts/analyze_partition_heterogeneity.py --dataset 5gnidd --alphas 0.5 0.75
 
 # beta=0 equivalence audit
-.venv/bin/python scripts/verify_beta0_equivalence.py --dataset 5gnidd --alpha 0.5 --seeds 0 1 2
+.venv/bin/python scripts/verify_beta0_equivalence.py --dataset 5gnidd --alpha 0.75 --seeds 0 1 2
+
+# Cross-alpha comparison table (5G-NIDD)
+.venv/bin/python scripts/analyze_cross_alpha.py --dataset 5gnidd --alphas 0.5 0.75 --tag 5gnidd__cross_alpha
 ```
 
 ## 19. Recommended next-session prompt
 
 ```
-You are continuing the perdalam-protean research repository (Session 10).
+You are continuing the perdalam-protean research repository (Session 11).
 
 FIRST, read completely:
   1. docs/handoff/SESSION_HANDOFF.md
-  2. docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md
-  3. docs/research/SESSION9_AUDIT.md
-  4. docs/research/EXPERIMENT_PROTOCOL.md
-  5. docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md
-  6. docs/research/MULTISEED_BETA_VALIDATION.md
+  2. docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md
+  3. docs/research/SESSION10_AUDIT.md
+  4. docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md
+  5. docs/research/EXPERIMENT_PROTOCOL.md
+  6. docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md
 
 Critical rules:
   - planningawal/ is immutable.
@@ -380,18 +380,18 @@ Critical rules:
   - The S_j participant rule is a REPRODUCTION ASSUMPTION.
   - Do NOT add an executable equal_available mode.
   - Beta selection uses validation only; PRIMARY is pooled across clients and seeds.
-  - Do NOT launch the full grid; run one condition at a time (~19 h per 5G-NIDD condition).
+  - Run one condition at a time (~19 h per 5G-NIDD condition).
 
-Context: Session 9 completed 5G-NIDD alpha=0.50 for seeds {0,1,2} (18 runs, ~19.26 h) and was
-independently audited (PASS; docs/research/SESSION9_AUDIT.md). Pooled validation selected
-beta=1.00 (per-seed diagnostics 1.00 / 0.00 / 1.00). beta=0 equivalence class B. Realized
-heterogeneity: 4/27 cells |S_j|<M, 4 missing cells, client ratio mean 9.59, mean displacement
-2.340. X-IIoTID alpha=0.50 selected 0.75. The pre-existing seed-0 baseline was not reusable and
-was re-run; it reproduces exactly.
+Context: Session 10 completed 5G-NIDD alpha=0.75 for seeds {0,1,2} (18 runs, ~19.18 h) and was
+independently audited (PASS; docs/research/SESSION10_AUDIT.md). Pooled validation selected
+beta=0.50 (per-seed diagnostics 0.50 / 1.00 / 1.00). beta=0 equivalence class B. Realized
+heterogeneity: 4/27 cells |S_j|<M, 5 missing cells, client ratio mean 6.31, mean displacement
+1.385, rare-class union identical across seeds. 5G-NIDD alpha=0.50 selected 1.00; X-IIoTID
+alpha=0.75 selected 0.50.
 
-Task: run the next single 5G-NIDD condition (recommended alpha=0.75, then alpha=0.25) under the
-same frozen protocol (seeds {0,1,2}, five betas + original_protean, frozen manifests, pooled
-validation-only selection). Verify the manifest reproduces, run the 18 runs sequentially with
-runtime/status files, produce a condition report + audit, and extend the cross-dataset/cross-alpha
-comparison. Use .venv/bin/python. Do not commit or push unless asked.
+Task: run the final 5G-NIDD condition alpha=0.25 under the same frozen protocol (seeds {0,1,2},
+five betas + original_protean, frozen manifests, pooled validation-only selection). Verify the
+manifest reproduces, run the 18 runs sequentially with runtime/status files, produce a condition
+report + audit, and extend the 5G-NIDD cross-alpha comparison to alpha=0.25/0.50/0.75. Use
+.venv/bin/python. Do not commit or push unless asked.
 ```
diff --git a/docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md b/docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md
new file mode 100644
index 0000000..f3842ed
--- /dev/null
+++ b/docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md
@@ -0,0 +1,450 @@
+# 5G-NIDD Alpha-0.75 Beta Validation (Session 10)
+
+Status: **second 5G-NIDD beta-validation condition**. This report covers a single 5G-NIDD
+condition — `alpha = 0.75`, seeds `{0,1,2}`, the frozen `original_protean` baseline plus the five
+`support_weighted` beta candidates — using the same pooled-across-seed validation-only selection
+rule already applied to X-IIoTID (`alpha=0.25/0.50/0.75`) and 5G-NIDD `alpha=0.50`. It is **not** a
+sweep, not a hyper-parameter search, and not evidence of a global optimum. **No other 5G-NIDD alpha
+(0.25 / 0.50) was run in this session**; `alpha=0.50` was completed and audited in Session 9 and is
+reused only as an audited reference.
+
+Companion documents:
+
+- `docs/research/EXPERIMENT_PROTOCOL.md` — frozen protocol and selection hierarchy.
+- `docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md` — audited 5G-NIDD alpha=0.50 reference.
+- `docs/research/SESSION9_AUDIT.md` — audit of the alpha=0.50 condition.
+- `docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md` — X-IIoTID three-condition reference.
+- `docs/research/SESSION10_AUDIT.md` — independent audit of this condition.
+- `docs/handoff/SESSION_HANDOFF.md` — continuation point.
+
+---
+
+## A. Scope
+
+| Field | Value |
+|---|---|
+| dataset | `5gnidd` (5G-NIDD) |
+| alpha | 0.75 |
+| seeds | 0, 1, 2 |
+| aggregation | `original_protean` (per seed) + `support_weighted` for `beta ∈ {0, 0.25, 0.50, 0.75, 1.00}` |
+| runs | 18: 15 `support_weighted` + 3 `original_protean`, **all run new this session** |
+| compute | sequential CPU, one run at a time, 69,064 s ≈ **19.18 h** wall-clock |
+| selection | pooled validation-only across seeds `{0,1,2}` |
+| test | read only after the pooled beta was fixed |
+
+No 5G-NIDD `alpha=0.25` run was performed; `alpha=0.50` was not re-run. The full grid was
+deliberately not launched. `equal_available` was not added. No training/aggregation/preprocessing
+source code was changed (HEAD `a7f2b0049e99fb66021b4660b82a48d5dbbef072`, unchanged).
+
+---
+
+## B. Dataset and manifests
+
+### B.1 Raw-data provenance (Stage A)
+
+- Path `~/datasets/5G-NIDD/5G-NIDD.csv`; SHA-256
+  `fa36f80859585f474504ca69eb951a079b35145537976c86b00aae3aab46ee59` — matches the Session-9
+  audited value; **unmutated**.
+- Raw 1,215,890 rows; **1** exact duplicate dropped → 1,215,889; **0** label rows dropped.
+- **Label semantics (canonicalised):** label column `Attack Type`; **9 classes** — benign
+  `Benign` (index 0) plus **8 attack classes** (`HTTPFlood, ICMPFlood, SYNFlood, SYNScan,
+  SlowrateDoS, TCPConnectScan, UDPFlood, UDPScan`). Full-data counts unchanged from Session 9
+  (Benign 477,736; UDPFlood 457,340; HTTPFlood 140,812; SlowrateDoS 73,124; TCPConnectScan
+  20,052; SYNScan 20,043; UDPScan 15,906; SYNFlood 9,721; ICMPFlood 1,155).
+- **46 feature columns** (41 numeric median-imputed + train-standardized; 5 categorical one-hot
+  with an explicit `__MISSING__` category). Preprocessing is spec-driven, fits on the train split
+  only, and is identical to the previously audited pipeline (no source change).
+- Rare/unseen logic verified against this class list: attack classes only, `N_ij > 0`, two
+  smallest positive training supports per client, `N_ij = 0` is unseen (never rare), benign never
+  rare/unseen. All 10 clients are eligible in all three seeds (each has exactly two rare classes).
+
+### B.2 Manifest identity (frozen, never regenerated)
+
+Each `(alpha=0.75, seed)` manifest was independently reproduced from the raw dataset during Stage A
+(`prepare_dataset` → `reproduce_train_assignments`): exact `N_ij` match, partition-hash match and
+split present. Train/validation/test sizes are 851,123 / 121,589 / 243,177 for every seed.
+
+| seed | manifest | manifest content hash | partition hash | split hash | rng seed |
+|---|---|---|---|---|---|
+| 0 | `artifacts/partitions/5gnidd__alpha0.75__seed0.json` | `96cd9b90b71895da…` | `74a91845627dbe57…` | `18f89f4807de5493…` | 892370747 |
+| 1 | `artifacts/partitions/5gnidd__alpha0.75__seed1.json` | `007c23564a44919b…` | `fc04ba00f4942bf9…` | `3d05b7fe48d5a06c…` | 1817661572 |
+| 2 | `artifacts/partitions/5gnidd__alpha0.75__seed2.json` | `3134bea2d47a7336…` | `4ee33d0a28326ae1…` | `fc758d060dc51dec…` | 306220443 |
+
+`preprocessing_hash` / `config_hash` remain `null` in these Session-2 manifests (known
+limitation, carry-over).
+
+### B.3 Pairing (from content hashes, not filenames)
+
+Within each seed all six runs share one manifest content hash and a **byte-identical round-0
+snapshot**; `train_support_Nij.csv`, `characterization.csv` and `rare_unseen.csv` each have exactly
+one SHA-256 across the six runs; `manifest_reload_ok = true` and `smoke = false` everywhere.
+
+| seed | manifest content hash | round-0 snapshot SHA-256 (all 6 runs) |
+|---|---|---|
+| 0 | `96cd9b90b71895da4fcfb8c575c76d3a07ca14e824d8190ca6299eedeba6d6a5` | `266a6e9976d5c138f1382218242d08fd4ff95a215bb114bfaec0a058240ec65b` |
+| 1 | `007c23564a44919bba2520d09645e6a99c2a60dd347e8ff8d69a59aaa8ca6db3` | `acecab9a60852e4591eac991ae76894af36ac57d87cb869fe0d053db898e73c0` |
+| 2 | `3134bea2d47a7336c725e8d1a904b1e15c115336c0f018d685e1780cd952590d` | `ef90c51aa9998ec83080b8347473d0621a669de3b8aed575f45356a7b82f8c46` |
+
+18/18 runs present with `dataset=5gnidd, alpha=0.75`, 10 clients, 10 rounds, 3 local epochs,
+batch 256, lr 1e-3, mu 0.1, lambda 1.0; all exit status 0.
+
+---
+
+## C. Frozen protocol
+
+Identical to `EXPERIMENT_PROTOCOL.md` §14: 10 clients, 10 rounds, 3 local epochs, batch 256, Adam
+`lr=1e-3`, `mu=0.1`, `lambda=1.0`; unchanged architecture, preprocessing, split recipe, Dirichlet
+partition recipe (`per_class_dirichlet_multinomial`), loss and nearest-prototype inference. All 18
+runs used `scripts/run_baseline.py` at HEAD `a7f2b0049e99fb66021b4660b82a48d5dbbef072`.
+
+Selection rule (unchanged):
+
+- **PRIMARY:** pooled-across-seed validation per-client-mean rare-class macro-F1, validation only.
+- **SECONDARY (diagnostic):** per-seed validation selection.
+- **TEST:** read only after the pooled beta was fixed; `test_used_for_selection = false` for every
+  `support_weighted` run.
+
+---
+
+## D. Partition characterization (realized, before interpretation)
+
+All statistics are from the training-split `N_ij`; `M = 10` clients; `|S_j| < M` means fewer than
+10 clients contribute a prototype for a class.
+
+### D.1 Per-seed summary (alpha=0.75)
+
+| seed | `|S_j| < M` cells | missing client-class cells | client-size min/max (ratio) | union rare | union unseen | max unseen on a client |
+|---|---|---|---|---|---|---|
+| 0 | 2 / 9 | 3 | 38,839 / 143,547 (3.70) | 6 | 2 | 1 |
+| 1 | 2 / 9 | 2 | 17,861 / 202,829 (11.36) | 6 | 2 | 1 |
+| 2 | 0 / 9 | 0 | 49,537 / 191,908 (3.87) | 6 | 0 | 0 |
+| **total / mean** | **4 / 27** | **5** | ratio mean **6.31** | 6/6/6 | 2/2/0 | 1 |
+
+- Unlike 5G-NIDD `alpha=0.50`, the **union of rare classes is identical for all three seeds**:
+  `{ICMPFlood, SYNFlood, SYNScan, SlowrateDoS, TCPConnectScan, UDPScan}` (ICMPFlood is always
+  rare, together with one of several low-support attack classes per client). All 10 clients have
+  exactly two rare classes and are eligible in every seed.
+- Missing cells are single-client gaps: seed 0 — `ICMPFlood` absent on clients c0/c3 and `SYNFlood`
+  absent on c4; seed 1 — `ICMPFlood` absent on c3 and `SYNScan` absent on c6.
+- `|S_j| < M` cells: seed 0 — `ICMPFlood` on 8 clients, `SYNFlood` on 9; seed 1 — `ICMPFlood` on 9,
+  `SYNScan` on 9; seed 2 — all classes have 10 contributors.
+- Union unseen classes: seed 0 = `{ICMPFlood, SYNFlood}`, seed 1 = `{ICMPFlood, SYNScan}`,
+  seed 2 = `{}`.
+- Machine-readable: `artifacts/analysis/5gnidd__alpha0.75__partition_heterogeneity_per_seed.csv`,
+  `..._per_class.csv`, `..._summary.csv`, and per-client
+  `artifacts/analysis/5gnidd__alpha0.75__partition_characterization.csv`.
+
+### D.2 Per-class support inequality
+
+Mean class-support CV across seeds = **0.916** (seed 0 0.969, seed 1 0.854, seed 2 0.925); the
+maximum per-class `max/min` ratio across seeds is 7,642.5 (driven by high-support `UDPFlood`).
+Complete per-class tables: `..._per_class.csv`.
+
+### D.3 Comparison with the audited 5G-NIDD alpha=0.50
+
+`alpha=0.75` is **not uniformly less heterogeneous** in every realized statistic:
+
+| statistic (training split) | 5G-NIDD alpha=0.50 | 5G-NIDD alpha=0.75 |
+|---|---|---|
+| `|S_j| < M` cells (sum / 27) | 4 / 27 | **4 / 27** |
+| missing client-class cells | 4 | **5** |
+| client-size ratio (seeds) | 11.63 / 4.43 / 12.72 | 3.70 / 11.36 / 3.87 |
+| client-size ratio mean | 9.59 | **6.31** |
+| mean class-support CV | 1.225 | **0.916** |
+| union rare per seed | 6 / 5 / 6 | **6 / 6 / 6** |
+| union unseen per seed | 2 / 0 / 2 | 2 / 2 / 0 |
+| max unseen on a client | 1 | 1 |
+
+Higher `alpha` reduces mean class-support CV and mean client-size spread, but the count of
+`|S_j| < M` cells is unchanged and missing cells are actually **higher** (5 vs 4); seed 1 retains a
+large client-size ratio (11.36). Realized statistics, not alpha alone, are used for interpretation.
+
+---
+
+## E. Per-seed validation results
+
+`val rareMacroF1 (pc mean)` is the primary metric; all 10 clients eligible in every seed.
+Machine-readable: `artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_per_seed.csv`.
+
+### Seed 0
+
+| beta | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc |
+|---|---|---|---|---|---|
+| 0.00 | 0.834681 | 0.896267 | 0.955238 | 0.851140 | 0.747485 |
+| 0.25 | 0.823388 | 0.899224 | 0.955542 | 0.853750 | 0.749155 |
+| **0.50** | **0.836792** | 0.901588 | 0.954228 | 0.855700 | 0.750191 |
+| 0.75 | 0.824667 | 0.901765 | 0.957174 | 0.856162 | 0.751178 |
+| 1.00 | 0.815774 | 0.896524 | 0.960685 | 0.852728 | 0.751334 |
+
+### Seed 1
+
+| beta | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc |
+|---|---|---|---|---|---|
+| 0.00 | 0.763787 | 0.860129 | 0.960640 | 0.829213 | 0.753489 |
+| 0.25 | 0.821190 | 0.896285 | 0.960906 | 0.853393 | 0.753687 |
+| 0.50 | 0.848836 | 0.916475 | 0.961261 | 0.866771 | 0.753555 |
+| 0.75 | 0.833255 | 0.913219 | 0.961421 | 0.864621 | 0.753662 |
+| **1.00** | **0.852469** | 0.911192 | 0.961375 | 0.863190 | 0.753300 |
+
+### Seed 2
+
+| beta | val rareMacroF1 (pc mean) | val rareMacroF1 (global) | val rareRecall (global) | val macroF1 | val acc |
+|---|---|---|---|---|---|
+| 0.00 | 0.735812 | 0.870022 | 0.958369 | 0.835202 | 0.752198 |
+| 0.25 | 0.726871 | 0.862443 | 0.955793 | 0.830314 | 0.752379 |
+| 0.50 | 0.741617 | 0.874029 | 0.956090 | 0.838279 | 0.753078 |
+| 0.75 | 0.716668 | 0.850796 | 0.955018 | 0.822194 | 0.751170 |
+| **1.00** | **0.744677** | 0.874155 | 0.954768 | 0.838259 | 0.752881 |
+
+The per-seed curves are **non-monotone and seed-dependent**: seed 0 peaks at 0.50; seed 1 rises
+then peaks at 1.00; seed 2 peaks at 1.00 with a dip at 0.75. Relative to `beta=0`, seeds 1 and 2
+gain substantially at intermediate/high beta while seed 0 loses at 0.25/0.75/1.00.
+
+---
+
+## F. Per-seed diagnostic beta choices (SECONDARY, stability only)
+
+| seed | selected beta | val rareMacroF1 (pc mean) | tie-break used | test_used_for_selection |
+|---|---|---|---|---|
+| 0 | 0.50 | 0.836792 | no | false |
+| 1 | 1.00 | 0.852469 | no | false |
+| 2 | 1.00 | 0.744677 | no | false |
+
+These per-seed choices are **diagnostic only**; they are not the condition-level selection rule.
+`val_selection.json` records `"selection_split": "validation"` and
+`"test_used_for_selection": false` for all 15 `support_weighted` runs.
+
+---
+
+## G. PRIMARY pooled-across-seed validation selection
+
+| beta | pooled mean | std (sample, ddof=1) | min | max | pooled val rareRecall (pc mean) | selected |
+|---|---|---|---|---|---|---|
+| 0.00 | 0.778094 | 0.050963 | 0.735812 | 0.834681 | 0.959858 | |
+| 0.25 | 0.790483 | 0.055100 | 0.726871 | 0.823388 | 0.959614 | |
+| **0.50** | **0.809081** | 0.058735 | 0.741617 | 0.848836 | 0.959268 | **yes** |
+| 0.75 | 0.791530 | 0.064974 | 0.716668 | 0.833255 | 0.959624 | |
+| 1.00 | 0.804306 | 0.054803 | 0.744677 | 0.852469 | 0.960041 | |
+
+- **PRIMARY selected beta (`beta_star_5gnidd_alpha075`) = 0.50.**
+- **Criterion:** maximum pooled validation per-client-mean rare-class macro-F1 (validation only).
+- **Tie-break used:** no. Top-two beta = 0.50 (0.809081) vs 1.00 (0.804306); gap ≈ **4.8e-3**.
+- **`test_used_for_selection = false`.** Test metrics were not inspected until the pooled beta was
+  fixed.
+- **Interpretation:** `beta = 0.50` is the *best among the tested candidates under pooled
+  validation across seeds `{0,1,2}` for 5G-NIDD alpha=0.75*. It is **not** a global optimum. The
+  pooled validation curve is non-monotone (0.778 → 0.790 → 0.809 → 0.792 → 0.804); the total
+  between-beta spread is ≈ **0.031** and the across-seed sample std is 0.051–0.065 — comparable to
+  or larger than the between-beta spread, so the selection is statistically weak. The pooled win
+  is driven by seeds 1 and 2 (both strongly positive versus `beta=0`) partly offset by seed 0.
+
+Machine-readable: `artifacts/analysis/5gnidd__alpha0.75__multiseed__validation_pooled.csv`,
+`...__selection_summary.json`.
+
+---
+
+## H. Final selected-beta test metrics (descriptive only)
+
+`beta_star = 0.50` was fixed from pooled validation; only then were test metrics read.
+
+| metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) |
+|---|---|---|---|---|
+| rare-class macro-F1 | 0.904447 | 0.905721 | 0.880045 | 0.896738 ± 0.014470 |
+| rare-class recall | 0.958666 | 0.959723 | 0.960715 | 0.959701 ± 0.001025 |
+| macro-F1 | 0.857309 | 0.859939 | 0.842201 | 0.853150 ± 0.009572 |
+| accuracy | 0.749508 | 0.754381 | 0.752933 | 0.752274 ± 0.002503 |
+| weighted-F1 | 0.723885 | 0.730109 | 0.728408 | 0.727467 ± 0.003217 |
+
+The global rare evaluation support is **28,000 for every seed** (the training-derived union of rare
+classes is identical across seeds at this alpha), so cross-seed test levels **are** directly
+comparable at alpha=0.75 — unlike alpha=0.50. Test columns:
+`artifacts/analysis/5gnidd__alpha0.75__multiseed__test_descriptive.csv`.
+
+---
+
+## I. `original_protean` comparison
+
+| metric (test) | seed 0 | seed 1 | seed 2 | mean ± std (sample) |
+|---|---|---|---|---|
+| rare-class macro-F1 | 0.905589 | 0.860758 | 0.873356 | 0.879901 ± 0.023121 |
+| rare-class recall | 0.961285 | 0.959036 | 0.963321 | 0.961214 ± 0.002144 |
+| macro-F1 | 0.857109 | 0.829867 | 0.837238 | 0.841405 ± 0.014091 |
+| accuracy | 0.747048 | 0.754072 | 0.751745 | 0.750955 ± 0.003578 |
+| weighted-F1 | 0.721059 | 0.729950 | 0.727133 | 0.726047 ± 0.004544 |
+
+Descriptive difference (`beta_star` − `original_protean`) for test rare-class macro-F1 is
+**−0.001141** (seed 0), **+0.044963** (seed 1), **+0.006689** (seed 2); mean **+0.016837**. Seed 0
+is essentially flat/weakly negative; seeds 1 and 2 are positive, but all differences are smaller
+than the between-seed std (≈ 0.023). No superiority or generalisation is claimed.
+
+Descriptive dataset-level observation (consistent with alpha=0.50): on 5G-NIDD test weighted-F1
+(`≈0.727`) sits **below** accuracy (`≈0.752`) — the opposite of X-IIoTID — because the
+high-support classes are the harder ones for nearest-prototype inference.
+
+---
+
+## J. `beta = 0` equivalence vs `original_protean`
+
+| property | seed 0 | seed 1 | seed 2 |
+|---|---|---|---|
+| same manifest / split / hashes | yes | yes | yes |
+| round-0 snapshot byte-identical | yes (`266a6e99…`) | yes (`acecab9a…`) | yes (`ef90c51a…`) |
+| support / characterization / rare_unseen identical | yes | yes | yes |
+| independent aggregation diff (`ΣC/n` vs `(1/n)ΣC`) | 4.4e-16 | 4.4e-16 | 4.4e-16 |
+| history rare-macro-F1 round-0 diff | 0.0 | 0.0 | 0.0 |
+| history rare-macro-F1 max diff (rounds ≥ 1) | 3.22e-2 | 5.04e-2 | 2.72e-2 |
+| test metric max abs diff | 5.22e-3 | 5.32e-3 | 2.74e-4 |
+| **classification** | **B** | **B** | **B** |
+
+Class **B**: semantic equivalence + floating-point numerical divergence; **no semantic
+discrepancy**. Round 0 is byte-identical; a ~1 ULP ordering difference enters round-1
+prototype-alignment training and the trajectories then diverge. Equivalence remains conditional on
+the shared `S_j` reproduction assumption and is **not** proof that `beta=0` reproduces original
+PROTEAN. Machine-readable:
+`artifacts/analysis/5gnidd__alpha0.75__multiseed__beta0_equivalence.csv`.
+
+---
+
+## K. Direct prototype-effect findings (fixed round-0 snapshots, no retraining)
+
+Computed from each seed's fixed `{C_ij, N_ij}` round-0 snapshot via the production aggregation.
+Cross-seed mean `||Cbar_j(beta) − Cbar_j(0)||` at `beta = 1.0` (sample std across seeds):
+
+| class | mean disp | std | mean rel disp | #contributors (seed 0) |
+|---|---|---|---|---|
+| UDPScan | 2.445 | 0.484 | 0.285 | 10 |
+| SYNFlood | 1.897 | 0.171 | 0.542 | 9 |
+| SlowrateDoS | 1.565 | 0.654 | 0.252 | 10 |
+| SYNScan | 1.563 | 0.640 | 0.199 | 10 |
+| HTTPFlood | 1.366 | 0.544 | 0.175 | 10 |
+| TCPConnectScan | 1.226 | 0.476 | 0.326 | 10 |
+| UDPFlood | 0.903 | 0.103 | 0.163 | 10 |
+| Benign | 0.824 | 0.272 | 0.138 | 10 |
+| ICMPFlood | 0.673 | 0.331 | 0.179 | 8 |
+
+- Mean displacement across the nine classes is **1.385** at beta=1.0, monotone in beta
+  (0.25 → 0.497, 0.50 → 0.875, 0.75 → 1.163, 1.00 → 1.385).
+- Displacement is seed-sensitive (e.g. `SYNScan` std 0.640, `SlowrateDoS` std 0.654) and largest
+  for the support-imbalanced rare classes (`UDPScan`, `SYNFlood`); `Benign`/`ICMPFlood` move least.
+- At alpha=0.75 the mean displacement is **smaller** than at alpha=0.50 (1.385 vs 2.340), tracking
+  the lower realized support imbalance, though the per-class rank order differs.
+- Displacement is a **direct-aggregation measure only** and is **not** interpreted as improved or
+  degraded detection. The end-to-end effect is reported separately in §G/§H.
+
+Outputs: `artifacts/analysis/5gnidd__alpha0.75__seed{0,1,2}__support_weighted__beta0__prototype_snapshot__prototype_effect.csv`
+and `...__prototype_weights.csv`; cross-seed aggregate
+`artifacts/analysis/5gnidd__alpha0.75__multiseed__prototype_effect_pooled.csv`.
+
+---
+
+## L. Client-level effect (validation, relative to beta = 0)
+
+Detail: `...__client_validation_detail.csv`; summary: `...__client_validation_summary.csv`. Client
+ids are per-seed realisations and are **not** pooled across seeds. Tolerance 1e-9.
+
+At the selected `beta = 0.50`:
+
+| seed | improve | degrade | unchanged | mean Δ | min Δ | max Δ |
+|---|---|---|---|---|---|---|
+| 0 | 4 | 6 | 0 | +0.0021 | −0.0434 | +0.0744 (+0.0744 at c0, min N_ij=2) |
+| 1 | 6 | 3 | 1 | +0.0850 | −0.0172 | +0.2667 (c8) |
+| 2 | 4 | 2 | 4 | +0.0058 | −0.0054 | +0.0237 |
+
+- The response is seed-dependent. Seed 1 improves strongly on 6/10 clients (mean Δ +0.085, max
+  +0.267); seed 0 is mixed (mean +0.002, but 6 degrade); seed 2 is mostly flat (4 unchanged).
+- `N_ij` vs ΔF1 is **non-monotonic**: seed 1's largest gain (c8, +0.267) has the largest min
+  positive attack support (134), while seed 0's largest gain (c0, +0.074) has the smallest
+  (min N_ij = 2); the worst seed-0 degradation (c7, −0.043) is not the lowest-support client.
+- This analysis is descriptive and non-causal.
+
+Full per-beta client summaries: `...__client_validation_summary.csv`.
+
+---
+
+## M. Runtime and resources
+
+CPU only, no GPU, no swap, exit status 0 for every run (`/usr/bin/time -v`). Full table:
+`artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv`.
+
+| group | wall range | CPU % | peak RSS |
+|---|---|---|---|
+| seed 0 (6 runs) | 61:55 – 62:59 | 742–745 | 8.68 GiB |
+| seed 1 (6 runs) | 64:10 – 66:37 | 739–742 | 11.78 GiB |
+| seed 2 (6 runs) | 63:38 – 65:12 | 738–740 | 10.99 GiB |
+
+- New compute this session: **18 runs, 69,064 s ≈ 19.18 h** wall-clock, sequential on an 8-core
+  host.
+- Per-run wall time is homogeneous (61:55–66:37). Peak RSS is partition-dependent, not
+  beta-dependent: ~8.69 GiB (seed 0), ~11.78 GiB (seed 1), ~11.00 GiB (seed 2), all within the
+  host memory. 5G-NIDD uses more memory than X-IIoTID because the training split is ~1.5× larger.
+- No warnings, no client failures, 9/9 global prototypes in every round, no retries.
+
+---
+
+## N. Comparison with 5G-NIDD alpha = 0.50 (descriptive only)
+
+Reference (Session 9, audited): `5GNIDD_ALPHA050_BETA_VALIDATION.md`.
+
+| statistic | 5G-NIDD alpha=0.50 | 5G-NIDD alpha=0.75 |
+|---|---|---|
+| pooled-selected beta | **1.00** | **0.50** |
+| pooled validation mean range (spread) | 0.645–0.692 (0.047) | 0.778–0.809 (0.031) |
+| pooled validation std range | 0.053–0.139 | 0.051–0.065 |
+| `|S_j| < M` cells (sum / 27) | 4 / 27 | 4 / 27 |
+| missing client-class cells | 4 | 5 |
+| client-size ratio mean | 9.59 | 6.31 |
+| mean class-support CV | 1.225 | 0.916 |
+| union rare per seed | 6 / 5 / 6 | 6 / 6 / 6 |
+| union unseen per seed | 2 / 0 / 2 | 2 / 2 / 0 |
+| test rare support per seed | 104,843 / 13,375 / 128,995 | 28,000 / 28,000 / 28,000 |
+| mean displacement `‖Cbar(1)−Cbar(0)‖` | 2.340 | 1.385 |
+| selected-beta client improve/degrade (per seed) | 6/3, 3/5, 7/2 | 4/6, 6/3, 4/2 |
+| `beta=0` equivalence class (per seed) | B / B / B | B / B / B |
+
+Descriptive observations (two alpha levels, one dataset, three project-defined seeds — **no
+monotone or causal claim**):
+
+- Both pooled validation curves are **non-monotone**; the selected beta differs (0.50 at alpha=0.75
+  vs 1.00 at alpha=0.50). Across-seed std is comparable to the between-beta spread at both
+  conditions, so both selections are statistically weak.
+- Realized support imbalance is lower on average at alpha=0.75 (CV 0.916 vs 1.225; client ratio
+  6.31 vs 9.59) and mean prototype displacement is smaller (1.385 vs 2.340), yet the number of
+  `|S_j| < M` cells is identical (4/27) and missing cells are slightly higher.
+- At alpha=0.75 the rare-class union is identical across seeds (constant test rare support),
+  whereas at alpha=0.50 it varies; this is a property of the realized partitions, not of beta.
+- Validation **levels** are not directly comparable across alpha (different rare-class sets and
+  per-client eval partitions at alpha=0.50); only within-condition contrasts are interpreted.
+
+Machine-readable: `artifacts/analysis/5gnidd__cross_alpha__cross_alpha_beta_table.csv`,
+`..._displacement.csv`, `..._client_summary.csv`, `..._summary.json` and
+`5gnidd__cross_alpha__partition_heterogeneity_*`.
+
+---
+
+## O. Optional cross-dataset context: X-IIoTID alpha = 0.75
+
+Audited X-IIoTID reference (`XIIOTID_CROSS_ALPHA_ANALYSIS.md`): pooled-selected **beta = 0.50**
+(pooled mean 0.476749 ± 0.046624), realized heterogeneity cells `3/27`, 4 missing cells, client
+ratio mean 4.67, support CV 0.881, mean displacement 1.305. At alpha=0.75 both datasets select
+beta = 0.50 descriptively. This is **not** evidence of a dataset-independent rule: only two
+datasets, one alpha each in common, three seeds per condition, weak effects, and no inferential
+test. No causal or generalisation claim is made.
+
+---
+
+## P. Limitations
+
+- **One new condition** (5G-NIDD alpha=0.75). No 5G-NIDD alpha=0.25 result exists; no full
+  cross-alpha 5G-NIDD claim is possible yet. No X-IIoTID/5G-NIDD causal or monotone claim.
+- **Three project-defined seeds** (`{0,1,2}`); the pooled mean's variation across seeds is
+  comparable to or larger than the between-beta spread, so `beta_star = 0.50` is statistically
+  weak and is only "best among the five tested candidates under pooled validation for this
+  condition".
+- The `S_j` participant/denominator rule (`S_j = {i | N_ij > 0 and valid C_ij}`, equal weights in
+  the baseline) remains a **REPRODUCTION ASSUMPTION**. At 5G-NIDD alpha=0.75 it is material in
+  **4/27** class-condition cells, but the `beta=0` comparison is still conditional on both modes
+  sharing this rule and does **not** prove `beta=0` reproduces original PROTEAN.
+- Train/validation/test adaptation (70/10/20 stratified) differs from the paper's literal 80/20;
+  the validation eval partition is a project decision.
+- `preprocessing_hash`/`config_hash` remain `null` in the 5G-NIDD manifests.
+- **No global beta optimum claim**; test metrics did not influence selection.
diff --git a/docs/research/SESSION10_AUDIT.md b/docs/research/SESSION10_AUDIT.md
new file mode 100644
index 0000000..cfb1adc
--- /dev/null
+++ b/docs/research/SESSION10_AUDIT.md
@@ -0,0 +1,277 @@
+# Session 10 Post-Experiment Audit (5G-NIDD alpha=0.75)
+
+Status: **PASS.** Independent recomputation from machine-readable artifacts and the raw dataset
+confirms every Session-10 Stage-B claim for 5G-NIDD `alpha=0.75`. No discovered issue changes
+`beta_star` or the scientific interpretation. **No new training was run for this audit, no
+aggregation/model/preprocessing source changed, and no test-based selection occurred.**
+
+Audit performed: 2026-09-29. Audited HEAD: `a7f2b0049e99fb66021b4660b82a48d5dbbef072`.
+Machine-readable audit record:
+`artifacts/analysis/5gnidd__alpha0.75__multiseed__audit_recomputation.json`.
+
+Companion documents: `docs/research/5GNIDD_ALPHA075_BETA_VALIDATION.md`,
+`docs/research/5GNIDD_ALPHA050_BETA_VALIDATION.md`, `docs/research/EXPERIMENT_PROTOCOL.md`,
+`docs/research/XIIOTID_CROSS_ALPHA_ANALYSIS.md`, `docs/handoff/SESSION_HANDOFF.md`.
+
+---
+
+## A. Scope
+
+Independently verify the Session-10 claim for:
+
+- dataset `5gnidd`, alpha `0.75`, seeds `{0,1,2}`, beta `{0, 0.25, 0.5, 0.75, 1.0}` plus
+  `original_protean` (18 runs);
+- PRIMARY pooled-validation selection `beta_star = 0.50` using validation per-client rare-class
+  macro-F1 averaged within seed then across seeds;
+- `beta=0` equivalence class;
+- cross-alpha (5G-NIDD alpha=0.50) and cross-dataset (X-IIoTID alpha=0.75) labels.
+
+The audit recomputed from run artifacts and raw data; it repeated no training and ran no new
+condition.
+
+---
+
+## B. Run inventory
+
+18 full-data runs enumerated from `results/5gnidd__alpha0.75__*/metadata.json` (15
+`support_weighted` + 3 `original_protean`), **18/18 present**, none duplicated, none partial, none
+unexpected. Each run contains all 14 expected artifacts; the round-0 prototype snapshot exists for
+all 18 runs. Metadata verified per run: dataset=5gnidd, alpha=0.75, seed, mode, clients=10,
+rounds=10, local_epochs=3, batch=256, lr=1e-3, mu=0.1, lambda=1.0, `manifest_reload_ok=true`,
+`smoke=false`. All 18 exit status 0.
+
+No 5G-NIDD run exists for alpha=0.25; no 5G-NIDD `support_weighted` run for any other alpha exists;
+`equal_available` is absent from `src/`, `scripts/`, `tests/`.
+
+---
+
+## C. Pairing / manifest integrity
+
+Within each seed all six runs share one manifest content hash and a byte-identical round-0
+snapshot; `train_support_Nij.csv`, `characterization.csv` and `rare_unseen.csv` are identical
+across the six runs (one unique SHA-256 per file type per seed). `manifest_reload_ok = true` and
+`smoke = false` everywhere.
+
+| seed | manifest content hash | round-0 snapshot SHA-256 | support/char/rare unique counts |
+|---|---|---|---|
+| 0 | `96cd9b90b71895da…` | `266a6e9976d5c138…` | 1 / 1 / 1 |
+| 1 | `007c23564a44919b…` | `acecab9a60852e45…` | 1 / 1 / 1 |
+| 2 | `3134bea2d47a7336…` | `ef90c51aa9998ec8…` | 1 / 1 / 1 |
+
+Each alpha=0.75 manifest was independently reproduced from the raw dataset
+(`prepare_dataset` → `reproduce_train_assignments`): exact `N_ij` match, partition-hash match and
+split-hash match for all three seeds; split sizes 851,123 / 121,589 / 243,177; `N_ij` sum
+851,123; 10 clients. Pairing is proven by content hashes, not filenames.
+
+---
+
+## D. Partition characterization audit
+
+Independently recomputed from the manifests; matches the report exactly:
+
+| statistic | seed 0 / 1 / 2 | reality (sum / mean) |
+|---|---|---|
+| `|S_j| < M` cells | 2 / 2 / 0 | **4 / 27** |
+| missing client-class cells | 3 / 2 / 0 | **5** |
+| client-size ratio | 3.70 / 11.36 / 3.87 | mean **6.31** |
+| union rare classes | 6 / 6 / 6 | identical set across seeds |
+| union unseen classes | 2 / 2 / 0 | max 1 on a client |
+
+Mean class-support CV = **0.916**; maximum per-class `max/min` ratio across seeds = 7,642.5.
+
+---
+
+## E. Label / rare / unseen integrity
+
+- Cleaned 5G-NIDD label semantics reproduced: 1,215,890 raw rows, 1 duplicate dropped, 0 label
+  rows dropped, 9 classes (`Benign` + 8 attacks), benign index 0, 46 features (41 numeric, 5
+  categorical).
+- Per-client rare/unseen recomputed from training `N_ij` (two smallest positive-support attack
+  classes, tie by class id) and compared to `rare_unseen.csv` across **all 18 runs**: **1,620 cells
+  checked, 0 mismatches**; benign class never flagged rare/unseen; rare and unseen never overlap;
+  every client has exactly two rare classes.
+- `evaluated_rare_classes` equals the training-derived union rare set; validation/test labels did
+  not influence rare identity.
+
+---
+
+## F. Validation metric recomputation
+
+Recomputed from raw artifacts (no report numbers copied):
+
+- seed-level primary score = mean over eligible clients of `val_per_client.csv`
+  `rare_class_macro_f1`; equals `val_selection.json` per-client-mean to **max diff 0.0** for all
+  15 runs; all 10 clients eligible in every seed.
+- global validation accuracy / macro-F1 / weighted-F1 recomputed independently from
+  `val_confusion_matrix.json` with the production formulas: **max diff 0.0** versus
+  `val_global_metrics.json`.
+
+---
+
+## G. Pooled-selection recomputation
+
+Computed from the independently recomputed seed-level scores (not from the report). Pooled = mean
+of the three seed means; std sample (`ddof=1`).
+
+| beta | pooled mean | sample std | recomputed selected |
+|---|---|---|---|
+| 0.00 | 0.778094 | 0.050963 | |
+| 0.25 | 0.790483 | 0.055100 | |
+| **0.50** | **0.809081** | 0.058735 | **yes** |
+| 0.75 | 0.791530 | 0.064974 | |
+| 1.00 | 0.804306 | 0.054803 | |
+
+- Recompute **matches the report** to formatting precision.
+- `argmax` = **0.50** (no tie; top-two gap ≈ 4.8e-3). `tie_break_used=false`.
+- Per-seed diagnostics reproduce **0.50 / 1.00 / 1.00**.
+
+---
+
+## H. Validation / test leakage audit
+
+- `run_baseline.py` derives `union_rare` from the training support matrix only; the
+  `val_selection` payload is built only from validation artifacts and records
+  `selection_split="validation"`, `test_used_for_selection=false` for all 15 `support_weighted`
+  runs (audited true).
+- `analyze_multiseed_beta.py` PRIMARY selection consumes only `per_seed_rows` built from
+  `val_selection.json`; test rows are read later and never referenced by selection or tie-break.
+  No code path sorts/filters candidates by a test field.
+- The audit's own `beta_star = 0.50` was reproduced from validation artifacts alone.
+
+Conclusion: selection is programmatic and validation-only; `test_used_for_selection = false` is
+upheld.
+
+---
+
+## I. Final test recomputation
+
+`beta_star = 0.50` fixed from pooled validation; only then test metrics read. Recomputed from
+`test_global_metrics.json` per seed (and cross-checked byte-for-byte against `test_descriptive.csv`,
+max diff 0.0), averaged across seeds with sample std:
+
+| metric | selected beta 0.50 (mean ± std) | original_protean (mean ± std) |
+|---|---|---|
+| rare-class macro-F1 | 0.896738 ± 0.014470 | 0.879901 ± 0.023121 |
+| rare-class recall | 0.959701 ± 0.001025 | 0.961214 ± 0.002144 |
+| macro-F1 | 0.853150 ± 0.009572 | 0.841405 ± 0.014091 |
+| accuracy | 0.752274 ± 0.002503 | 0.750955 ± 0.003578 |
+| weighted-F1 | 0.727467 ± 0.003217 | 0.726047 ± 0.004544 |
+
+Matches the report exactly. No superiority claim is made.
+
+---
+
+## J. `beta = 0` equivalence audit
+
+For seeds 0, 1, 2, `original_protean` vs `support_weighted beta=0`:
+
+| property | seed 0 | seed 1 | seed 2 |
+|---|---|---|---|
+| same manifest / split / hashes | yes | yes | yes |
+| round-0 snapshot byte-identical | yes | yes | yes |
+| support/characterization/rare_unseen identical | yes | yes | yes |
+| independent aggregation diff | 4.4e-16 | 4.4e-16 | 4.4e-16 |
+| history rare-macro-F1 round-0 diff | 0.0 | 0.0 | 0.0 |
+| history rare-macro-F1 max diff (rounds ≥ 1) | 3.22e-2 | 5.04e-2 | 2.72e-2 |
+| test metric max diff | 5.22e-3 | 5.32e-3 | 2.74e-4 |
+| classification | **B** | **B** | **B** |
+
+Class **B** (semantically equivalent + floating-point divergence); **no semantic discrepancy**.
+Equivalence remains conditional on the shared `S_j` reproduction assumption.
+
+---
+
+## K. Direct-effect audit
+
+Independently recomputed `||Cbar_j(beta) − Cbar_j(0)||` from the fixed round-0 snapshots with the
+production aggregation: each seed's `...__prototype_effect.csv` is produced by
+`analyze_prototype_effect.py` from the snapshot and the cross-seed pooled file aggregates it. Mean
+displacement at `beta=1.0` is **1.385** (monotone: 0.497 / 0.875 / 1.163 / 1.385 for
+beta 0.25/0.50/0.75/1.00). Displacement is a direct-aggregation measure only; no detection
+causality is inferred.
+
+---
+
+## L. Client-level audit
+
+Deltas recomputed from `val_per_client.csv` vs `client_validation_detail.csv` (via the `beta=0`
+base): improve/degrade/unchanged at the selected `beta=0.50` = 4/6/0 (seed 0, mean +0.0021),
+6/3/1 (seed 1, mean +0.0850), 4/2/4 (seed 2, mean +0.0058). `N_ij` vs ΔF1 is non-monotonic. Client
+ids are per-seed realisations, not pooled.
+
+---
+
+## M. Cross-condition / cross-dataset labels
+
+Condition-level pooled selections confirmed from `selection_summary.json`:
+
+| condition | selected beta | tie-break | test_used_for_selection |
+|---|---|---|---|
+| 5G-NIDD alpha=0.75 (this session) | 0.50 | no | false |
+| 5G-NIDD alpha=0.50 (Session 9) | 1.00 | no | false |
+| X-IIoTID alpha=0.75 (Session 8) | 0.50 | no | false |
+
+The report makes no causal, monotone or generalising claim and explicitly states the selections
+differ descriptively across conditions.
+
+---
+
+## N. Artifact provenance
+
+| Reported quantity | Source artifact(s) | Derivation |
+|---|---|---|
+| run existence / config | `results/5gnidd__alpha0.75__*/metadata.json` | direct read |
+| manifest hashes / reproduction | `artifacts/partitions/5gnidd__alpha0.75__seed{0,1,2}.json` | module + `reproduce_train_assignments` |
+| pairing proof | `artifacts/analysis/..._prototype_snapshot.json` | sha256 across 6 runs/seed |
+| seed-level validation score | `results/.../val_per_client.csv` + `val_selection.json` | mean of per-client rare macro-F1 |
+| validation global metrics | `results/.../val_confusion_matrix.json` | independent numpy recompute |
+| pooled mean/std, `beta_star` | recomputed seed scores | mean/`stdev`, argmax |
+| test metrics | `results/.../test_global_metrics.json` + `..._test_descriptive.csv` | independent recompute + mean/std |
+| partition characterization | manifests + `..._partition_heterogeneity_*.csv` | independent numpy recompute |
+| beta=0 equivalence | original vs beta0 artifacts/snapshots | sha256 + independent aggregation + history diff |
+| direct-effect displacement | snapshots + `..._prototype_effect_pooled.csv` | production aggregation |
+| client improve/degrade | `results/.../val_per_client.csv` + `..._client_validation_detail.csv` | deltas vs beta=0 |
+| rare-class identity | `results/.../rare_unseen.csv` + manifest | recompute definition |
+| runtime / RSS | `artifacts/analysis/5gnidd__alpha0.75__multiseed__runtime.csv` (source `/tmp/opencode/5gnidd_alpha075_runtime.csv`) | parse `/usr/bin/time -v`; sum 69,064 s = 19.18 h |
+| cross-alpha table | `5gnidd__cross_alpha__*` (built from alpha0.5 + alpha0.75 multiseed artifacts) | read per-condition artifacts |
+
+---
+
+## O. Deviations / corrections found
+
+**None** affecting science. One audit-script (not repository) comparison bug was self-corrected
+during the audit: the first version of the audit compared per-seed `test_descriptive.csv` rows to
+pooled means; the check was corrected to compare per-seed values against per-seed
+`test_global_metrics.json` (max diff then 0.0). No repository artifact, report number, or selection
+was affected. No training/aggregation/preprocessing source file was modified.
+
+Informational note (not a defect): two runner instances were accidentally started and immediately
+killed before any artifact was written; the final run directory contains exactly the 18 intended
+runs (18/18, no duplicates).
+
+---
+
+## P. Final audit verdict
+
+**PASS.**
+
+- Run inventory: **PASS** (18/18; no duplicates/partials; no alpha=0.25 run; no legacy 5G-NIDD
+  alpha=0.75 run).
+- Pairing / manifest reproduction: **PASS** (hash-identical; raw-data reproduction exact incl.
+  partition hash).
+- Partition characterization: **PASS** (4/27, 5 missing, ratios 3.70/11.36/3.87, unseen 2/2/0).
+- Rare/unseen integrity: **PASS** (0 mismatches over 1,620 cells).
+- Validation recomputation (seed-level and global): **PASS** (exact).
+- Pooled selection: **PASS**; independent `beta_star = 0.50` using validation only.
+- Validation/test leakage: **PASS**.
+- Test summaries: **PASS** (exact).
+- beta=0 equivalence: **PASS**, class **B** for all seeds.
+- Direct-effect and client-level analyses: **PASS** (consistent with snapshots/artifacts).
+- Cross-condition labels: **PASS** (5G-NIDD a0.75 = 0.50 vs a0.50 = 1.00 vs X-IIoTID a0.75 = 0.50;
+  no causal claim).
+- Source/data integrity: **PASS**; `planningawal/` unchanged; raw SHA-256 unchanged;
+  `equal_available` absent; pytest 75 passed.
+
+Session 10 is **safe to checkpoint** with the documented limitations (single new condition, three
+project-defined seeds, weak effect relative to seed variance, `S_j` reproduction assumption, no
+global-optimum claim).