26 files changed, 228 insertions, 0 deletions
diff --git a/research/flossing/report_bundle_20260603/tables/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv b/research/flossing/report_bundle_20260603/tables/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv
new file mode 100644
index 0000000..1078ef9
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv
@@ -0,0 +1,2 @@
+correct_count/det_fail_mean,correct_count/det_success_mean,correct_count/full_frac,correct_count/ge_10_frac,correct_count/ge_1_frac,correct_count/ge_25_frac,correct_count/ge_5_frac,correct_count/mean,correct_count/median,correct_count/q10,correct_count/q25,correct_count/q75,correct_count/q90,correct_count/std,correct_count/zero_frac,deterministic/exact,deterministic/token_acc,fd_lyap,fd_spectrum_k,include_clean,lambda_fail_mean,lambda_mean,lambda_success_mean,lyap_min/exact,lyap_min/token_acc,mean_rollout/exact,mean_rollout/token_acc,n_samples,noise_std,oracle_pass/det_fail_frac,oracle_pass/det_success_frac,oracle_pass/exact,oracle_pass/token_acc,perturb_both,perturb_h,perturb_l,q_fail_mean,q_max/det_fail_frac,q_max/det_success_frac,q_max/exact,q_max/token_acc,q_mean,q_minus_0.25lambda/exact,q_minus_0.25lambda/token_acc,q_minus_0.5lambda/exact,q_minus_0.5lambda/token_acc,q_minus_1lambda/exact,q_minus_1lambda/token_acc,q_minus_2lambda/exact,q_minus_2lambda/token_acc,q_success_mean,rollout0/exact,rollout0/token_acc,rollouts,steps
+15.185714721679688,24.78506851196289,0.859375,0.94921875,0.97265625,0.859375,0.96875,23.47265625,25.0,22.10000228881836,25.0,25.0,25.0,5.083601474761963,0.02734375,0.86328125,0.9498456716537476,1.0,0.0,0.0,6.921443462371826,5.711092472076416,5.632336139678955,0.97265625,0.989703893661499,0.9389062523841858,0.9769077897071838,512.0,0.3,0.800000011920929,1.0,0.97265625,0.9911988973617554,0.0,0.0,1.0,-10.65998649597168,0.800000011920929,1.0,0.97265625,0.989366352558136,6.669083118438721,0.97265625,0.9893181324005127,0.97265625,0.9891493320465088,0.97265625,0.989149272441864,0.97265625,0.9892698526382446,7.7966694831848145,0.94140625,0.9774305820465088,25.0,64.0
diff --git a/research/flossing/report_bundle_20260603/tables/base58590_k25_d64_sigma03_Lonly_n10000_seed20260602.summary.csv b/research/flossing/report_bundle_20260603/tables/base58590_k25_d64_sigma03_Lonly_n10000_seed20260602.summary.csv
new file mode 100644
index 0000000..16c5a1b
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/base58590_k25_d64_sigma03_Lonly_n10000_seed20260602.summary.csv
@@ -0,0 +1,2 @@
+correct_count/det_fail_mean,correct_count/det_success_mean,correct_count/full_frac,correct_count/ge_10_frac,correct_count/ge_1_frac,correct_count/ge_25_frac,correct_count/ge_5_frac,correct_count/mean,correct_count/median,correct_count/q10,correct_count/q25,correct_count/q75,correct_count/q90,correct_count/std,correct_count/zero_frac,deterministic/exact,deterministic/token_acc,fd_lyap,fd_spectrum_k,include_clean,mean_rollout/exact,mean_rollout/token_acc,n_samples,noise_std,oracle_pass/det_fail_frac,oracle_pass/det_success_frac,oracle_pass/exact,oracle_pass/token_acc,perturb_both,perturb_h,perturb_l,q_max/det_fail_frac,q_max/det_success_frac,q_max/exact,q_max/token_acc,q_mean,rollout0/exact,rollout0/token_acc,rollouts,steps
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diff --git a/research/flossing/report_bundle_20260603/tables/fig5_qhead_vs_lambda1_ptrm_summary.csv b/research/flossing/report_bundle_20260603/tables/fig5_qhead_vs_lambda1_ptrm_summary.csv
new file mode 100644
index 0000000..bcbf401
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/fig5_qhead_vs_lambda1_ptrm_summary.csv
@@ -0,0 +1,3 @@
+name,path,n_samples,rollouts,mean_rollout_exact,q_max_exact,lambda_min_exact,oracle_pass_exact,q_lambda_same_argmax_frac,global_pearson_q_vs_stability,global_spearman_q_vs_stability,within_problem_pearson_mean,within_problem_spearman_mean,q_success_mean,q_fail_mean,lambda_success_mean,lambda_fail_mean,mixed_problem_count,zero_success_problem_count,full_success_problem_count,mixed_global_pearson_q_vs_stability,mixed_q_max_exact,mixed_lambda_min_exact,mixed_oracle_exact
+TRM baseline + PTRM rollouts,research/flossing/q_lambda_scatter/base58590_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.npz,512.0,25.0,0.93890625,0.97265625,0.97265625,0.97265625,0.04296875,0.7524171235289728,-0.025655130770112743,0.12497240516050691,0.09656841990607949,7.796669578964886,-10.659986413043478,5.632336168325687,6.921443493469901,58.0,14.0,440.0,0.7857503437605575,1.0,1.0,1.0
+TRM multi4 + PTRM rollouts,research/flossing/q_lambda_scatter/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.npz,512.0,25.0,0.944609375,0.974609375,0.974609375,0.974609375,0.0859375,0.7289674235313497,-0.13633997124282113,0.18866459504767938,0.11859038341758327,7.7404597169382185,-10.081937588152327,5.7459801223593345,7.271883726456269,43.0,13.0,456.0,0.7911647653323942,1.0,1.0,1.0
diff --git a/research/flossing/report_bundle_20260603/tables/headline_trm_multi4_dynamics_table.csv b/research/flossing/report_bundle_20260603/tables/headline_trm_multi4_dynamics_table.csv
new file mode 100644
index 0000000..742ac68
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/headline_trm_multi4_dynamics_table.csv
@@ -0,0 +1,4 @@
+model,step,full_exact,full_token_acc,lm_loss,dyn_sample_exact,lambda1_all,mean8_all,tail4_all,pos_count_all
+TRM baseline best,58590,0.8686309456825256,0.9508475661277772,0.1155559569597244,0.875,0.02823458132615997,0.013457294571722192,0.0075273313675370546,7.841796875
+TRM multi4 best,35805,0.8964653611183167,0.9604493975639344,0.0945562794804573,0.900390625,0.020381716455975862,0.0065844104191477015,0.001402141885882835,3.841796875
+TRM multi4 final,65100,0.8350536823272705,0.9350366592407228,0.1547555029392242,0.82421875,0.03232463403946895,0.018508151198432188,0.013372940185377047,8.0
diff --git a/research/flossing/report_bundle_20260603/tables/hrm_baseline_eval.csv b/research/flossing/report_bundle_20260603/tables/hrm_baseline_eval.csv
new file mode 100644
index 0000000..afc2b27
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/hrm_baseline_eval.csv
@@ -0,0 +1,11 @@
+run,step,all/exact_accuracy,all/accuracy,all/lm_loss,all/q_halt_accuracy,all/q_halt_loss,all/steps
+hrm_baseline,2604,0.016369983553886414,0.6336106061935425,0.8522627949714661,0.9927079081535339,0.020887982100248337,16
+hrm_baseline,5208,0.06169315055012703,0.6744286417961121,0.7430469989776611,0.9772745370864868,0.07281211763620377,16
+hrm_baseline,7812,0.1358133852481842,0.6985693573951721,0.676047682762146,0.996868371963501,0.0211492907255888,16
+hrm_baseline,10416,0.20248068869113922,0.7259970307350159,0.6480565667152405,0.9983821511268616,0.017285015434026718,16
+hrm_baseline,13020,0.3024248778820038,0.7580602169036865,0.5614010691642761,0.9971805810928345,0.02416178770363331,16
+hrm_baseline,15624,0.36705803871154785,0.7842973470687866,0.49664124846458435,0.9964591860771179,0.02256467007100582,16
+hrm_baseline,18228,0.46287721395492554,0.8077820539474487,0.4641122817993164,0.9953309893608093,0.02509351819753647,16
+hrm_baseline,20832,0.4912721812725067,0.8198283314704895,0.4137057960033417,0.9955745935440063,0.02796635963022709,16
+hrm_baseline,23436,0.5193856954574585,0.8260135054588318,0.41173747181892395,0.9975590705871582,0.024772455915808678,16
+hrm_baseline,26040,0.5265287756919861,0.8270824551582336,0.4161679148674011,0.9960216283798218,0.03298119083046913,16
diff --git a/research/flossing/report_bundle_20260603/tables/hrm_honly_step26040_eval.csv b/research/flossing/report_bundle_20260603/tables/hrm_honly_step26040_eval.csv
new file mode 100644
index 0000000..d3e3ab9
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/hrm_honly_step26040_eval.csv
@@ -0,0 +1,2 @@
+step,accuracy,exact_accuracy,lm_loss,q_halt_accuracy,q_halt_loss,steps
+26040,0.85720146,0.62264127,0.35935268,0.99625105,0.024241636,16.0
diff --git a/research/flossing/report_bundle_20260603/tables/hrm_matched_compare.csv b/research/flossing/report_bundle_20260603/tables/hrm_matched_compare.csv
new file mode 100644
index 0000000..71b8e16
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/hrm_matched_compare.csv
@@ -0,0 +1,6 @@
+family,step,base_exact,multi4_exact,delta_exact,base_acc,multi4_acc,delta_acc,base_loss,multi4_loss,delta_loss,base_steps,multi4_steps
+hrm,2604,0.016369983553886414,0.0123774204403162,-0.003992563113570213,0.6336106061935425,0.6303551197052002,-0.003255486488342285,0.8522627949714661,0.8603715300559998,0.008108735084533691,16,16
+hrm,5208,0.06169315055012703,0.025012653321027756,-0.036680497229099274,0.6744286417961121,0.6685170531272888,-0.005911588668823242,0.7430469989776611,0.7412638068199158,-0.0017831921577453613,16,16
+hrm,7812,0.1358133852481842,0.04651052877306938,-0.08930285647511482,0.6985693573951721,0.687346339225769,-0.011223018169403076,0.676047682762146,0.7044885158538818,0.02844083309173584,16,16
+hrm,10416,0.20248068869113922,0.2006617933511734,-0.0018188953399658203,0.7259970307350159,0.7243355512619019,-0.0016614794731140137,0.6480565667152405,0.6340938210487366,-0.013962745666503906,16,16
+hrm,13020,0.3024248778820038,0.34697696566581726,0.04455208778381348,0.7580602169036865,0.7794705033302307,0.02141028642654419,0.5614010691642761,0.49915269017219543,-0.06224837899208069,16,16
diff --git a/research/flossing/report_bundle_20260603/tables/hrm_multi4_complete_eval.csv b/research/flossing/report_bundle_20260603/tables/hrm_multi4_complete_eval.csv
new file mode 100644
index 0000000..9aac158
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/hrm_multi4_complete_eval.csv
@@ -0,0 +1,11 @@
+run,step,exact,accuracy,loss
+hrm_multi4,2604,0.0123774204403162,0.6303551197052002,0.8603715300559998
+hrm_multi4,5208,0.025012653321027756,0.6685170531272888,0.7412638068199158
+hrm_multi4,7812,0.04651052877306938,0.687346339225769,0.7044885158538818
+hrm_multi4,10416,0.2006617933511734,0.7243355512619019,0.6340938210487366
+hrm_multi4,13020,0.34697696566581726,0.7794705033302307,0.49915269017219543
+hrm_multi4,15624,0.4653252363204956,0.8156101703643799,0.42743897438049316
+hrm_multi4,18228,0.5790873169898987,0.8494690656661987,0.3459467887878418
+hrm_multi4,20832,0.6393187,0.8660642,0.3186217
+hrm_multi4,23436,0.6443189,0.8684137,0.30427682
+hrm_multi4,26040,0.46235448,0.80298746,0.603943
diff --git a/research/flossing/report_bundle_20260603/tables/hrm_multi4_eval.csv b/research/flossing/report_bundle_20260603/tables/hrm_multi4_eval.csv
new file mode 100644
index 0000000..0f7dbc9
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/hrm_multi4_eval.csv
@@ -0,0 +1,6 @@
+run,step,all/exact_accuracy,all/accuracy,all/lm_loss,all/q_halt_accuracy,all/q_halt_loss,all/steps
+hrm_multi4,2604,0.0123774204403162,0.6303551197052002,0.8603715300559998,0.9879773855209351,0.020903315395116806,16
+hrm_multi4,5208,0.025012653321027756,0.6685170531272888,0.7412638068199158,0.9968069195747375,0.019309692084789276,16
+hrm_multi4,7812,0.04651052877306938,0.687346339225769,0.7044885158538818,0.9902976751327515,0.03646523132920265,16
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+hrm_multi4,13020,0.34697696566581726,0.7794705033302307,0.49915269017219543,0.9987062215805054,0.01581510715186596,16
diff --git a/research/flossing/report_bundle_20260603/tables/hrm_multi4_horizon_sweep_768.csv b/research/flossing/report_bundle_20260603/tables/hrm_multi4_horizon_sweep_768.csv
new file mode 100644
index 0000000..3bdace3
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/hrm_multi4_horizon_sweep_768.csv
@@ -0,0 +1,41 @@
+step,split,horizon,count,exact_accuracy,accuracy,lm_loss,q_halt_loss,steps
+23436,train,2,768.0,0.2955729166666667,0.8364840348561605,0.39225157833573504,0.04459714392820994,2.0
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diff --git a/research/flossing/report_bundle_20260603/tables/hrm_trm_redesigned_summary.csv b/research/flossing/report_bundle_20260603/tables/hrm_trm_redesigned_summary.csv
new file mode 100644
index 0000000..c5a4ad0
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/hrm_trm_redesigned_summary.csv
@@ -0,0 +1,7 @@
+model,label,step,full_exact,sample_exact,lambda1_all,mean8_all,pos_count_all,lambda1_success,lambda1_fail,mean8_success,mean8_fail,pos_count_success,pos_count_fail
+HRM,baseline best,26040,0.5265287756919861,0.5,-0.0569394779099639,-0.10732079181130239,0.98046875,-0.14642834789538028,0.03254939207545249,-0.18957092847483636,-0.025070655147768406,0.01953125,1.94140625
+HRM,multi4 best,23436,0.6443189,0.654296875,-0.04733450568929953,-0.112159715874796,1.166015625,-0.10103540500250659,0.054302789621007604,-0.16998952501653278,-0.0027078172167066595,0.05970149253731343,3.2598870056497176
+HRM,multi4 final,26040,0.46235448,0.4296875,0.02874533511322852,-0.040662085491063316,1.626953125,0.03573289099003887,0.02348073821974127,-0.053027883530268646,-0.031345388338237384,1.8181818181818181,1.4828767123287672
+TRM,baseline best,58590,0.8686309456825256,0.875,0.02823458132615997,0.013457294571722192,7.841796875,0.01761167685357837,0.10259491263423115,0.008003413600119422,0.05163446137294159,7.819196428571429,8.0
+TRM,multi4 best,35805,0.8964653611183167,0.900390625,0.020381716455975862,0.0065844104191477015,3.841796875,0.01118387160416574,0.10352301992037717,0.0019524994650864183,0.04845325257252518,3.3817787418655096,8.0
+TRM,multi4 final,65100,0.8350536823272705,0.82421875,0.03232463403946895,0.018508151198432188,8.0,0.01912124014472792,0.09423388096814354,0.012883653437293365,0.04488079625621645,8.0,8.0
diff --git a/research/flossing/report_bundle_20260603/tables/meeting_figures_v2_report.md b/research/flossing/report_bundle_20260603/tables/meeting_figures_v2_report.md
new file mode 100644
index 0000000..5158c99
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/meeting_figures_v2_report.md
@@ -0,0 +1,26 @@
+# Meeting Figures v2
+
+## Figure Strategy
+
+0. `fig0_motivation_lambda1_success_failure_hrm_trm.png`: first-exponent success/failure distribution in HRM and TRM. This motivates chaos as a detector before introducing the method.
+1. `fig1_hrm_trm_training_curves.png`: performance over training for HRM and TRM. This answers whether the method improves accuracy and where best/final are.
+2. `fig2_accuracy_vs_chaotic_volume_phase.png`: phase view, with accuracy versus mean top-8 Lyapunov exponent. This answers whether better checkpoints are dynamically more stable.
+3. `fig3_hrm_trm_success_failure_spectra.png`: full success/failure spectrum separation for HRM and TRM best checkpoints. This extends Fig0 beyond λ1.
+4. `fig4_ptrm_same_subset_comparison.png`: PTRM same-subset result. This is a secondary inference-time story.
+5. `fig5_qhead_vs_lambda1_ptrm.png`: PTRM Q-head halt logit versus finite-difference stability proxy `-lambda_1`. The bottom row isolates mixed problems where trajectory selection actually matters.
+
+## Key Numbers
+
+- HRM baseline best: 0.5265 exact. HRM multi4 best: 0.6443 exact. HRM multi4 final: 0.4624 exact.
+- TRM baseline best: 0.8686 exact. TRM multi4 best: 0.8965 exact. TRM multi4 final: 0.8351 exact.
+- HRM multi4 best dynamics sample: mean top-8 exponent -0.1122; final -0.0407.
+- TRM multi4 best dynamics sample: mean top-8 exponent +0.0066; final +0.0185.
+- PTRM same subset, K=100: Q-selected 0.984 -> 0.988; mean rollout 0.942 -> 0.954.
+- PTRM Q-vs-stability, K=25/N=512: mixed-problem Pearson is 0.786 for baseline and 0.791 for multi4. In both runs, Q-max selection and lambda-min selection reach the same oracle exact accuracy on this subset.
+
+## Caveats
+
+- Dynamics spectra use N=512 diagnostic samples, not the full test set.
+- PTRM numbers use a fixed N=1000 subset; do not mix its deterministic subset accuracy with full-test W&B exact accuracy.
+- Final checkpoints are collapse diagnostics, not the method's reported performance.
+- Q-head is not a pure lambda ranker: global Spearman is weak because most problems are all-success/all-failure across K rollouts. The strongest evidence is the mixed-problem class separation and selector equivalence.
diff --git a/research/flossing/report_bundle_20260603/tables/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv b/research/flossing/report_bundle_20260603/tables/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv
new file mode 100644
index 0000000..7d15a10
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/multi4_35805_k25_d64_sigma03_Lonly_fdlyap_n512_seed20260602.summary.csv
@@ -0,0 +1,2 @@
+correct_count/det_fail_mean,correct_count/det_success_mean,correct_count/full_frac,correct_count/ge_10_frac,correct_count/ge_1_frac,correct_count/ge_25_frac,correct_count/ge_5_frac,correct_count/mean,correct_count/median,correct_count/q10,correct_count/q25,correct_count/q75,correct_count/q90,correct_count/std,correct_count/zero_frac,deterministic/exact,deterministic/token_acc,fd_lyap,fd_spectrum_k,include_clean,lambda_fail_mean,lambda_mean,lambda_success_mean,lyap_min/exact,lyap_min/token_acc,mean_rollout/exact,mean_rollout/token_acc,n_samples,noise_std,oracle_pass/det_fail_frac,oracle_pass/det_success_frac,oracle_pass/exact,oracle_pass/token_acc,perturb_both,perturb_h,perturb_l,q_fail_mean,q_max/det_fail_frac,q_max/det_success_frac,q_max/exact,q_max/token_acc,q_mean,q_minus_0.25lambda/exact,q_minus_0.25lambda/token_acc,q_minus_0.5lambda/exact,q_minus_0.5lambda/token_acc,q_minus_1lambda/exact,q_minus_1lambda/token_acc,q_minus_2lambda/exact,q_minus_2lambda/token_acc,q_success_mean,rollout0/exact,rollout0/token_acc,rollouts,steps
+13.054545402526855,24.886215209960938,0.890625,0.953125,0.974609375,0.890625,0.966796875,23.615234375,25.0,24.0,25.0,25.0,25.0,5.043018341064453,0.025390625,0.892578125,0.9596836566925049,1.0,0.0,0.0,7.271883964538574,5.830501556396484,5.7459797859191895,0.974609375,0.9897279739379883,0.9446094036102295,0.9784027934074402,512.0,0.3,0.7636363506317139,1.0,0.974609375,0.9913435578346252,0.0,0.0,1.0,-10.081937789916992,0.7636363506317139,1.0,0.974609375,0.9889563918113708,6.753265857696533,0.974609375,0.9889563918113708,0.974609375,0.9890046119689941,0.974609375,0.9889804720878601,0.974609375,0.9889563918113708,7.74045991897583,0.9375,0.9766348004341125,25.0,64.0
diff --git a/research/flossing/report_bundle_20260603/tables/multi4_35805_k25_d64_sigma03_Lonly_n10000_seed20260602.summary.csv b/research/flossing/report_bundle_20260603/tables/multi4_35805_k25_d64_sigma03_Lonly_n10000_seed20260602.summary.csv
new file mode 100644
index 0000000..f991531
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/multi4_35805_k25_d64_sigma03_Lonly_n10000_seed20260602.summary.csv
@@ -0,0 +1,2 @@
+correct_count/det_fail_mean,correct_count/det_success_mean,correct_count/full_frac,correct_count/ge_10_frac,correct_count/ge_1_frac,correct_count/ge_25_frac,correct_count/ge_5_frac,correct_count/mean,correct_count/median,correct_count/q10,correct_count/q25,correct_count/q75,correct_count/q90,correct_count/std,correct_count/zero_frac,deterministic/exact,deterministic/token_acc,fd_lyap,fd_spectrum_k,include_clean,mean_rollout/exact,mean_rollout/token_acc,n_samples,noise_std,oracle_pass/det_fail_frac,oracle_pass/det_success_frac,oracle_pass/exact,oracle_pass/token_acc,perturb_both,perturb_h,perturb_l,q_max/det_fail_frac,q_max/det_success_frac,q_max/exact,q_max/token_acc,q_mean,rollout0/exact,rollout0/token_acc,rollouts,steps
+13.846529960632324,24.8140811920166,0.8842999935150146,0.9599000215530396,0.9828000068664551,0.8842999935150146,0.9696999788284302,23.692100524902344,25.0,24.0,25.0,25.0,25.0,4.753871917724609,0.01720000058412552,0.8977000117301941,0.9607678651809692,0.0,0.0,0.0,0.9476839900016785,0.9795129895210266,10000.0,0.3,0.8328445553779602,0.9998885989189148,0.9828000068664551,0.9940740466117859,0.0,0.0,1.0,0.829912006855011,0.9995543956756592,0.982200026512146,0.9926013946533203,6.862946510314941,0.9480999708175659,0.979781448841095,25.0,64.0
diff --git a/research/flossing/report_bundle_20260603/tables/paired_ptrm_k100_n1000_seed0_summary.csv b/research/flossing/report_bundle_20260603/tables/paired_ptrm_k100_n1000_seed0_summary.csv
new file mode 100644
index 0000000..8122604
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/paired_ptrm_k100_n1000_seed0_summary.csv
@@ -0,0 +1,2 @@
+n,rollouts,base_det,multi4_det,delta_det,base_mean_rollout,multi4_mean_rollout,delta_mean_rollout,base_qmax,multi4_qmax,delta_qmax,base_oracle,multi4_oracle,delta_oracle,base_correct_count_mean,multi4_correct_count_mean,delta_correct_count_mean,det_base_only_frac,det_multi4_only_frac,oracle_base_only_frac,oracle_multi4_only_frac
+1000,100,0.887,0.911,0.02400000000000002,0.94188,0.95417,0.012289999999999912,0.984,0.988,0.0040000000000000036,0.985,0.988,0.0030000000000000027,94.188,95.417,1.2289999999999992,0.034,0.058,0.001,0.004
diff --git a/research/flossing/report_bundle_20260603/tables/summary_n512_k8_seed20260602.csv b/research/flossing/report_bundle_20260603/tables/summary_n512_k8_seed20260602.csv
new file mode 100644
index 0000000..c255252
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/summary_n512_k8_seed20260602.csv
@@ -0,0 +1,4 @@
+run,step,n,sample_exact,sample_token_acc,lambda1_all,lambda1_success,lambda1_fail,lambda1_fail_minus_success,mean8_all,mean8_success,mean8_fail,mean8_fail_minus_success,tail4_all,tail4_success,tail4_fail,pos_count_all,pos_count_success,pos_count_fail,pos_mass_all,pos_mass_success,pos_mass_fail,lambda2_all,lambda2_success,lambda2_fail,lambda3_all,lambda3_success,lambda3_fail,lambda4_all,lambda4_success,lambda4_fail,lambda5_all,lambda5_success,lambda5_fail,lambda6_all,lambda6_success,lambda6_fail,lambda7_all,lambda7_success,lambda7_fail,lambda8_all,lambda8_success,lambda8_fail
+baseline_best,58590,512,0.875,0.9539689430384897,0.02823458132615997,0.01761167685357837,0.10259491263423115,0.08498323578065278,0.013457294571722192,0.008003413600119422,0.05163446137294159,0.04363104777282217,0.0075273313675370546,0.004122858266632009,0.03135864307387237,7.841796875,7.819196428571429,8.0,0.10779670139772268,0.0641854171711784,0.4130756909835327,0.0205107267238418,0.012619587999194794,0.07574869779637083,0.016147883449207256,0.0097831444752176,0.060701056267134845,0.012655839604420294,0.007521466406436568,0.04859645199030638,0.010066905798097991,0.00580994511748096,0.03986563056241721,0.00827578879948021,0.00458740731747704,0.0340944591735024,0.006620997387619565,0.003523945934349396,0.028300357560510747,0.0051456334849504515,0.00257013469722064,0.02317412499905913
+multi4_best,35805,512,0.900390625,0.9625048226444051,0.020381716455975862,0.01118387160416574,0.10352301992037717,0.09233914831621143,0.0065844104191477015,0.0019524994650864183,0.04845325257252518,0.046500753107438765,0.001402141885882835,-0.0014188478887233206,0.02690167690732279,3.841796875,3.3817787418655096,8.0,0.06377898653446445,0.027952091227886174,0.38762602058020146,0.012663036363773195,0.0057181008775463405,0.07543980615103946,0.008348809059507634,0.003078277385450445,0.055990281642652025,0.005673153930393582,0.0013151374084221035,0.04506620523684165,0.0034857525132654388,-9.921478389921372e-05,0.035891045140577296,0.002008319042374751,-0.001002505589948276,0.02922381228749074,0.0006402704918926361,-0.0019078789586364823,0.023673542976087213,-0.0005257745040014861,-0.0026657922224093103,0.018818307225135902
+multi4_final,65100,512,0.82421875,0.9289882326847874,0.03232463403946895,0.01912124014472792,0.09423388096814354,0.07511264082341562,0.018508151198432188,0.012883653437293365,0.04488079625621645,0.03199714281892309,0.013372940185377047,0.010672304166179654,0.026035922408724824,8.0,8.0,8.0,0.1480652095874575,0.10306922749834692,0.3590463700497316,0.02459628393262392,0.015458292881759563,0.0674433086377879,0.020185894951282535,0.013495850063401376,0.05155477209223641,0.017466635922573914,0.01230462774373944,0.041670718716664445,0.015463502108104876,0.011429727322452865,0.034377423880828754,0.013748909759215167,0.010808219788353272,0.027537478289256494,0.012621539073734311,0.010437874606770786,0.022860499129941068,0.011657809800453833,0.010013394947141692,0.019368288334872988
diff --git a/research/flossing/report_bundle_20260603/tables/summary_n64_k8_seed20260602.csv b/research/flossing/report_bundle_20260603/tables/summary_n64_k8_seed20260602.csv
new file mode 100644
index 0000000..5a12638
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/summary_n64_k8_seed20260602.csv
@@ -0,0 +1,5 @@
+name,n,acc,lambda1_all,lambda1_success,lambda1_fail,mean8_all,mean8_success,mean8_fail,tail4_all,pos_count_all,pos_count_success,pos_count_fail,pos_mass_all
+baseline_best,64,0.875,0.027470633,0.015822656,0.109006464,0.013350397,0.0077010575,0.052895777,0.0074741757,7.796875,7.767857142857143,8.0,0.10691354
+multi4_bestish,64,0.953125,0.016227467,0.012409109,0.09386742,0.004405942,0.002358008,0.046047267,-0.00011889404,3.375,3.1475409836065573,8.0,0.048455432
+multi4_late,64,0.84375,0.031355858,0.01815009,0.10266701,0.018412568,0.01310199,0.047089677,0.013622271,8.0,8.0,8.0,0.14730054
+multi4_final,64,0.859375,0.028622076,0.01753769,0.09636,0.01713102,0.01240586,0.046007,0.012961711,8.0,8.0,8.0,0.13704816
diff --git a/research/flossing/report_bundle_20260603/tables/trm_baseline_eval.csv b/research/flossing/report_bundle_20260603/tables/trm_baseline_eval.csv
new file mode 100644
index 0000000..0b6bc11
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/trm_baseline_eval.csv
@@ -0,0 +1,11 @@
+run,step,all/exact_accuracy,all/accuracy,all/lm_loss,all/q_halt_accuracy,all/q_halt_loss,all/steps
+trm_baseline,26041,0.5575894117355347,0.8469749093055725,0.35285070538520813,0.9997445344924927,0.003797376062721014,16
+trm_baseline,52082,0.6295099854469299,0.8704391121864319,0.2973524034023285,0.9998486042022705,0.0011324305087327957,16
+trm_baseline,78123,0.6993892788887024,0.8920264840126038,0.2477506548166275,0.9998935461044312,0.0006260558147914708,16
+trm_baseline,104164,0.72928386926651,0.9020143151283264,0.22608688473701477,0.9998770356178284,0.001141014276072383,16
+trm_baseline,130205,0.7653990387916565,0.914251446723938,0.19878524541854858,0.999917209148407,0.0010435190051794052,16
+trm_baseline,156246,0.7596656680107117,0.9119072556495667,0.2041437327861786,0.999862790107727,0.0011596218682825565,16
+trm_baseline,182287,0.7541900873184204,0.9094774723052979,0.2100999504327774,0.9998249411582947,0.0013093978632241488,16
+trm_baseline,208328,0.7732800841331482,0.9166732430458069,0.19410833716392517,0.9998320937156677,0.0033004307188093662,16
+trm_baseline,234369,0.7750374674797058,0.9172152280807495,0.19279460608959198,0.9998533725738525,0.0032994903158396482,16
+trm_baseline,260410,0.7742025256156921,0.9169425964355469,0.19348150491714478,0.9998462796211243,0.002894919365644455,16
diff --git a/research/flossing/report_bundle_20260603/tables/trm_gbs768_multi4_step65100_det_n10000_seed20260602.summary.csv b/research/flossing/report_bundle_20260603/tables/trm_gbs768_multi4_step65100_det_n10000_seed20260602.summary.csv
new file mode 100644
index 0000000..38ca8f5
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/trm_gbs768_multi4_step65100_det_n10000_seed20260602.summary.csv
@@ -0,0 +1,2 @@
+correct_count/det_fail_mean,correct_count/det_success_mean,correct_count/full_frac,correct_count/ge_1_frac,correct_count/mean,correct_count/median,correct_count/q10,correct_count/q25,correct_count/q75,correct_count/q90,correct_count/std,correct_count/zero_frac,deterministic/exact,deterministic/token_acc,fd_lyap,fd_spectrum_k,include_clean,mean_rollout/exact,mean_rollout/token_acc,n_samples,noise_std,oracle_pass/det_fail_frac,oracle_pass/det_success_frac,oracle_pass/exact,oracle_pass/token_acc,perturb_both,perturb_h,perturb_l,q_max/det_fail_frac,q_max/det_success_frac,q_max/exact,q_max/token_acc,q_mean,rollout0/exact,rollout0/token_acc,rollouts,steps
+0.0,1.0,0.8312000036239624,0.8312000036239624,0.8312000036239624,1.0,0.0,1.0,1.0,1.0,0.3745751678943634,0.1687999963760376,0.8312000036239624,0.9333752989768982,0.0,0.0,0.0,0.8312000036239624,0.9333752989768982,10000.0,0.0,0.0,1.0,0.8312000036239624,0.9333752989768982,1.0,0.0,0.0,0.0,1.0,0.8312000036239624,0.9333752989768982,3.762489080429077,0.8312000036239624,0.9333752989768982,1.0,16.0
diff --git a/research/flossing/report_bundle_20260603/tables/trm_matched_compare.csv b/research/flossing/report_bundle_20260603/tables/trm_matched_compare.csv
new file mode 100644
index 0000000..32006a5
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/trm_matched_compare.csv
@@ -0,0 +1,2 @@
+family,step,base_exact,multi4_exact,delta_exact,base_acc,multi4_acc,delta_acc,base_loss,multi4_loss,delta_loss,base_steps,multi4_steps
+trm,26041,0.5575894117355347,0.7394047975540161,0.18181538581848145,0.8469749093055725,0.9067130088806152,0.059738099575042725,0.35285070538520813,0.21417337656021118,-0.13867732882499695,16,16
diff --git a/research/flossing/report_bundle_20260603/tables/trm_multi4_eval.csv b/research/flossing/report_bundle_20260603/tables/trm_multi4_eval.csv
new file mode 100644
index 0000000..f3d16b5
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/trm_multi4_eval.csv
@@ -0,0 +1,2 @@
+run,step,all/exact_accuracy,all/accuracy,all/lm_loss,all/q_halt_accuracy,all/q_halt_loss,all/steps
+trm_multi4,26041,0.7394047975540161,0.9067130088806152,0.21417337656021118,0.9997232556343079,0.0024572687689214945,16
diff --git a/research/flossing/report_bundle_20260603/tables/trm_multi4_eval_full.csv b/research/flossing/report_bundle_20260603/tables/trm_multi4_eval_full.csv
new file mode 100644
index 0000000..3411ff5
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/trm_multi4_eval_full.csv
@@ -0,0 +1,11 @@
+run,step,all/exact_accuracy,all/accuracy,all/lm_loss,all/q_halt_accuracy,all/q_halt_loss,all/steps
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diff --git a/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_eval.csv b/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_eval.csv
new file mode 100644
index 0000000..66dfe1b
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_eval.csv
@@ -0,0 +1,11 @@
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diff --git a/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_multi4_eval.csv b/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_multi4_eval.csv
new file mode 100644
index 0000000..ec353ce
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_multi4_eval.csv
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diff --git a/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_multi4_step16275_eval.csv b/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_multi4_step16275_eval.csv
new file mode 100644
index 0000000..a34ae57
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/trm_official_gbs768_multi4_step16275_eval.csv
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diff --git a/research/flossing/report_bundle_20260603/tables/wallclock_eval.csv b/research/flossing/report_bundle_20260603/tables/wallclock_eval.csv
new file mode 100644
index 0000000..268a924
--- /dev/null
+++ b/research/flossing/report_bundle_20260603/tables/wallclock_eval.csv
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