research: add post-hoc statistical audit and defense preparation aids

- scripts/posthoc_statistical_audit.py + docs/research/POSTHOC_STATISTICAL_AUDIT.md:
  read-only paired audit of the completed grid (exact sign-flip / Wilcoxon,
  selection stability, per-class/per-client summaries); writes only posthoc__*.
- kisikisithesis/: robustness audit and examiner-preparation document with
  deterministic read-only checks (robustness_checks.py).
- artifacts/analysis/posthoc__*.csv: audit outputs (6 tables).
- artifacts/analysis: track the 4 remaining beta0-snapshot effect/weight CSVs
  (xiiotid a0.5 seeds 1-2), completing the tracked beta0 set.
- .gitignore: codify that non-beta0 prototype snapshots stay untracked.

artifacts/analysis/posthoc__paired_global_by_condition.csv

@@ -0,0 +1,31 @@
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artifacts/analysis/posthoc__paired_global_per_seed.csv

@@ -0,0 +1,91 @@
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artifacts/analysis/posthoc__paired_test_results.csv

@@ -0,0 +1,31 @@
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+xiiotid,0.75,0.5,weighted_f1,3,0.003002|0.012406|0.002832,0.25,0.5,-0.007530825385598827,0.019691319176338408,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+xiiotid,0.75,0.5,accuracy,3,0.001112|0.018713|0.002776,0.25,0.5,-0.01660558256426208,0.03167232865888367,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.25,0.0,rare_class_macro_f1,3,-0.005010|-0.000959|0.002853,0.75,1.0,-0.010807309536371811,0.008729662366817314,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.25,0.0,rare_class_recall,3,-0.000210|0.000325|0.001866,0.5,1.0,-0.002016208383762044,0.0033372876259405463,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.25,0.0,macro_f1,3,-0.005363|-0.005386|0.002454,0.5,1.0,-0.013992408934881363,0.008462377569993086,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.25,0.0,weighted_f1,3,-0.000637|-0.004024|0.001746,0.75,1.0,-0.008174702869020644,0.0062306800858079004,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.25,0.0,accuracy,3,-0.000436|-0.003516|0.001723,0.75,1.0,-0.007283561191671378,0.005797675053864953,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.5,1.0,rare_class_macro_f1,3,0.008998|-0.081061|0.046389,1.0,1.0,-0.17130372966859422,0.15418796837720225,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.5,1.0,rare_class_recall,3,0.000042|-0.000225|-0.017243,0.5,1.0,-0.0304100386644281,0.018791906380538275,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.5,1.0,macro_f1,3,0.013589|-0.049496|0.024510,1.0,1.0,-0.10304027980644635,0.09544219419500975,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.5,1.0,weighted_f1,3,0.008185|-0.002696|-0.007093,1.0,1.0,-0.020071892735646125,0.01900253371742491,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.5,1.0,accuracy,3,0.008422|-0.003351|-0.007225,1.0,1.0,-0.02096174526670406,0.019525205901001964,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.75,0.5,rare_class_macro_f1,3,-0.001141|0.044963|0.006689,0.5,1.0,-0.04444784421441203,0.07812151035399167,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.75,0.5,rare_class_recall,3,-0.002619|0.000687|-0.002606,0.5,1.0,-0.006245231988471588,0.0032198819332951312,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.75,0.5,macro_f1,3,0.000200|0.030072|0.004963,0.25,0.5,-0.028123939182216617,0.05161367312884611,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.75,0.5,weighted_f1,3,0.002826|0.000159|0.001275,0.25,0.5,-0.0019074469527278436,0.004747441496778179,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"
+5gnidd,0.75,0.5,accuracy,3,0.002459|0.000308|0.001188,0.25,0.5,-0.0013673078078454953,0.00400461862808482,0.25,"exploratory; 3 seeds; no inferential power; beta=0 conditions are numerical, not a treatment contrast"

artifacts/analysis/posthoc__per_class_summary.csv

@@ -0,0 +1,19 @@
+dataset,class_name,n_obs,mean_delta_f1,median_delta_f1,min_delta_f1,max_delta_f1,n_positive,n_negative
+xiiotid,Tampering,9,0.05199619640670891,0.004580967510456113,-0.005430499483001561,0.214955968364532,6,3
+xiiotid,Reconnaissance,9,0.02952063666312104,0.008242346598957062,-0.0003622961256807278,0.10238198044760449,8,1
+5gnidd,ICMPFlood,9,0.026821108337293526,0.010408977770148542,-0.46986271362984083,0.3772516575720237,5,4
+5gnidd,TCPConnectScan,9,0.014211458390848499,0.000706524723936286,-0.019433003409767724,0.05772198907204773,6,3
+xiiotid,Lateral_movement,9,0.010881583240329038,0.0017846016589943003,-0.014168138453098611,0.07607557487760874,6,3
+xiiotid,Weaponization,9,0.009113660779203083,0.007233534576793765,-0.004643526037137802,0.03336802894144031,8,1
+xiiotid,Exploitation,9,0.006734945561392644,6.591764883166762e-05,-0.008223665637908967,0.036914135633034896,6,3
+5gnidd,Benign,9,0.0009395838996870687,0.00028927780247300916,-0.0012807529813573248,0.004784809629670872,5,4
+5gnidd,SYNScan,9,0.0007028996039083962,0.00012358980722271262,-0.0027240713350633605,0.0033494638084979877,6,2
+xiiotid,RDOS,9,0.00011273464532779442,0.0,-0.00020998786240000733,0.0008246202062063279,4,4
+5gnidd,UDPFlood,9,-5.0275925956781244e-05,-5.101815123376152e-05,-0.0004926348932754454,0.0004015231846284939,3,6
+5gnidd,UDPScan,9,-0.00029387524907019554,-0.0009226463398589457,-0.0038642666069870213,0.004913668121620529,3,6
+5gnidd,HTTPFlood,9,-0.0008211332125179031,0.0007952922021617903,-0.0344690095854302,0.03529511546161013,6,3
+xiiotid,Normal,9,-0.002240793040637389,-0.00027963176745748886,-0.0315329514150966,0.012717262317857747,4,5
+xiiotid,Exfiltration,9,-0.006129465975398516,0.0,-0.03964725823094428,0.004487347741842007,3,3
+5gnidd,SlowrateDoS,9,-0.006597630438252566,0.0017380510468695265,-0.047165133257141556,0.028229267253973345,5,4
+xiiotid,C&C,9,-0.018037720972140073,-0.005217928136442729,-0.16416853359506542,0.0321417804096471,4,5
+5gnidd,SYNFlood,9,-0.019369709950482903,-0.006397152956185925,-0.06835732738470357,0.00727579075336604,2,7

artifacts/analysis/posthoc__per_client_summary.csv

@@ -0,0 +1,7 @@
+dataset,alpha,selected_beta,n_client_seed_obs,n_improved_gt_0.02,n_degraded_lt_-0.02,n_unchanged,mean_delta,median_delta,min_delta,max_delta,std_sample_within_condition
+5gnidd,0.25,0.0,30,1,0,29,0.002111576617816057,0.0,-0.019933554817275767,0.07142857142857151,0.01470740176243374
+5gnidd,0.5,1.0,30,15,6,9,0.03903400685752252,0.02024848480689545,-0.17567567567567566,0.4040650406504065,0.11851570462408138
+5gnidd,0.75,0.5,30,8,1,21,0.02071412212202052,0.004477101314292853,-0.03633656881678371,0.16839803756061722,0.043102741088679355
+xiiotid,0.25,0.0,30,1,1,28,-0.0015178066042212891,0.0,-0.026277262664796908,0.02494573827906854,0.00807984351701968
+xiiotid,0.5,0.75,30,12,1,17,0.03024920134564162,0.012286627106224551,-0.2565947651121153,0.3235930735930736,0.08670494898387493
+xiiotid,0.75,0.5,30,8,2,20,0.01167502563325023,0.010269879504053326,-0.0697526762643042,0.06759906759906764,0.026808060695173577

artifacts/analysis/posthoc__selection_stability.csv

@@ -0,0 +1,7 @@
+dataset,alpha,pooled_selected_beta,per_seed_beta_s0,per_seed_beta_s1,per_seed_beta_s2,n_seeds_agree_pooled,pooled_score_selected,second_best_beta,second_best_score,margin_best_minus_second,candidate_score_range,test_used_for_selection
+xiiotid,0.25,0.0,0.75,0.5,0.0,1,0.5917038146634539,0.25,0.5886906256417319,0.0030131890217219848,0.059605114021112016,False
+xiiotid,0.5,0.75,0.5,1.0,0.75,1,0.5793667895728949,1.0,0.5734790834215032,0.0058877061513916695,0.03500610197920917,False
+xiiotid,0.75,0.5,0.5,0.5,0.0,2,0.47674948263663786,0.25,0.47436809609801456,0.002381386538623298,0.008144253663347922,False
+5gnidd,0.25,0.0,0.25,0.0,0.0,2,0.7614534210908004,0.25,0.7492858468825279,0.012167574208272525,0.039218114350402566,False
+5gnidd,0.5,1.0,1.0,0.0,1.0,2,0.6923695590578484,0.75,0.6883680316141424,0.004001527443705966,0.04729182197574977,False
+5gnidd,0.75,0.5,0.5,1.0,1.0,1,0.8090814343293602,1.0,0.8043064619946296,0.004774972334730565,0.03098780223355102,False

artifacts/analysis/xiiotid__alpha0.5__seed1__support_weighted__beta0__prototype_snapshot__prototype_effect.csv

@@ -0,0 +1,46 @@
+class_id,class_name,beta,n_contributors,support_min,support_max,support_mean,prototype_norm,reference_norm_beta0,displacement_from_beta0,relative_displacement
+0,C&C,0.0,8,2,687,250.5,4.995807261779628,4.995807261779628,0.0,0.0
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+0,C&C,0.5,8,2,687,250.5,4.906583708196013,4.995807261779628,1.2665743125302988,0.2535274573581356
+0,C&C,0.75,8,2,687,250.5,5.010855437469484,4.995807261779628,1.56068016232047,0.3123979930651924
+0,C&C,1.0,8,2,687,250.5,5.121849269773383,4.995807261779628,1.7701252868773527,0.35432217339921773
+1,Exfiltration,0.0,10,8,6273,1549.4,7.157109420154553,7.157109420154553,0.0,0.0
+1,Exfiltration,0.25,10,8,6273,1549.4,7.739024271072487,7.157109420154553,1.112938631376158,0.1555011340531
+1,Exfiltration,0.5,10,8,6273,1549.4,8.136996752575591,7.157109420154553,1.792423075103891,0.2504395238189868
+1,Exfiltration,0.75,10,8,6273,1549.4,8.4002894954015,7.157109420154553,2.2364541806817226,0.312480087894678
+1,Exfiltration,1.0,10,8,6273,1549.4,8.580132867813264,7.157109420154553,2.5469976586314798,0.35586959889967407
+2,Exploitation,0.0,9,1,491,88.11111111111111,5.992134154687249,5.992134154687249,0.0,0.0
+2,Exploitation,0.25,9,1,491,88.11111111111111,5.852057025355164,5.992134154687249,0.6403508338020284,0.10686523653698982
+2,Exploitation,0.5,9,1,491,88.11111111111111,5.649833686058244,5.992134154687249,1.3058952653326283,0.2179349179475752
+2,Exploitation,0.75,9,1,491,88.11111111111111,5.462810593200537,5.992134154687249,2.0362822833565866,0.3398258835316192
+2,Exploitation,1.0,9,1,491,88.11111111111111,5.361136450101408,5.992134154687249,2.7586985908860333,0.46038665351443886
+3,Lateral_movement,0.0,10,49,8361,2211.7,5.836739012783497,5.836739012783497,0.0,0.0
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+3,Lateral_movement,0.75,10,49,8361,2211.7,6.909367469065839,5.836739012783497,1.8469497276568052,0.3164352087032942
+3,Lateral_movement,1.0,10,49,8361,2211.7,7.129359871034012,5.836739012783497,2.18587302323185,0.37450244364951035
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+4,Normal,0.75,10,260,89253,29277.7,6.856645071712252,5.744022110217372,1.4245372318857714,0.24800343810512637
+4,Normal,1.0,10,260,89253,29277.7,6.981584206588257,5.744022110217372,1.5984450234076382,0.2782797476639845
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+5,RDOS,0.75,10,6,47276,9888.3,9.572100709915908,7.606714687573022,2.932638911884029,0.38553291826168246
+5,RDOS,1.0,10,6,47276,9888.3,9.877736968852913,7.606714687573022,3.2852506457034076,0.43188824356334454
+6,Reconnaissance,0.0,10,1842,23967,8916.1,6.600587294730691,6.600587294730691,0.0,0.0
+6,Reconnaissance,0.25,10,1842,23967,8916.1,6.619642701782661,6.600587294730691,0.19750804124277122,0.02992279814259008
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+7,Tampering,0.0,9,8,1228,398.44444444444446,5.065268302764301,5.065268302764301,0.0,0.0
+7,Tampering,0.25,9,8,1228,398.44444444444446,5.155842974383021,5.065268302764301,0.5957873490790528,0.11762207122452131
+7,Tampering,0.5,9,8,1228,398.44444444444446,5.314632895746181,5.065268302764301,1.0369597200237384,0.20471960378837814
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artifacts/analysis/xiiotid__alpha0.5__seed1__support_weighted__beta0__prototype_snapshot__prototype_weights.csv

@@ -0,0 +1,431 @@
+class_id,class_name,beta,client_id,N_ij,weight
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+0,C&C,0.0,1,3.0,0.125
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artifacts/analysis/xiiotid__alpha0.5__seed2__support_weighted__beta0__prototype_snapshot__prototype_effect.csv

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artifacts/analysis/xiiotid__alpha0.5__seed2__support_weighted__beta0__prototype_snapshot__prototype_weights.csv

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