Paper-Selected Reconstruction-Stack Losses: Results

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This results note records the Apr27 paper basic-grid snapshot for exp2_continuous_cvae-Apr27-paper-basic-grid, extended with the Apr30 tokinv_a0p25 / dist0p05_tokcc0p95_a0p25 runs, the May01 exp2_continuous_cvae-May01-tokeninv-stress-dist-tokcc-followup collection, and the May02 exp2_continuous_cvae-May02-dist0p75-tokcc0p25-followup collection. It is observational only. Interpretive claims and paper-positioning recommendations are in analysis.

Collection State

The expected grid now has 504 cells: the 294-cell Apr27+Apr30 grid, 168 May01 follow-up cells, and 42 May02 dist0p75_tokcc0p25_a0p25 follow-up cells. The family-level and paper-facing summaries below use all 432 complete single-task runs. The artifact inventory also contains 72 complete multi_task cells; those are analyzed in the refreshed multitask report for the same Apr27+Apr30+May01+May02 collection coverage. Analogical summaries are complete for every complete artifact in the expected grid.

statuscells
complete single-task, used below432
complete multi-task72
incomplete cells0
complete single-task analogical summaries432
complete multi_task analogical summaries72
failed0

Status counts over the full expected grid:

statuscells
complete504

Incomplete cells by task: none.

Completeness heatmap

Loss-Setting Summary

Rows are means over complete single-task datasets. The primary metric is analysis/router_probe_times_strategy_match_rate; the analogical metric is analogical_steering/pair_set_overlap_rate.

loss_settingn_completematched_strategy_router_scoreanalogical_set_overlapfinal_answer_accuracyrouter_probestrategy_match_ratebaseline_normalized_reconstruction
tokinv_a0p25_b0p01_lin10060.91760.95020.99870.91980.99778.7329
dist0p25_tokcc0p75_a0p25_b0p01_lin10060.88700.92950.99620.89310.99330.0215
dist0p75_tokcc0p25_a0p25_b0p01_lin10060.88250.93160.99610.88990.99190.0302
tokcc_a0p25_b0p01_lin10060.88110.91520.99000.90040.97897.8127
dist0p25_tokcc0p75_a0p25_b0p1_lin10060.87960.93290.99670.88400.99510.0476
example_inv_surp_b0p01_lin10060.87890.92630.99680.88470.99350.0487
dist0p10_tokcc0p90_a0p25_b0p01_lin10060.87240.93020.99730.87820.99350.0224
tokcc_a0p25_b0p1_lin10060.86510.89190.99590.87680.986310.8830
dist_plus_tokcc_a0p25_b0p01_lin10060.86480.93070.99400.87250.99130.0634
dist_norm_b0p01_lin10060.86050.94240.99450.86660.99310.0172

The lowest-ranked rows by the same metric are:

loss_settingn_completematched_strategy_router_scoreanalogical_set_overlapfinal_answer_accuracyrouter_probestrategy_match_ratebaseline_normalized_reconstruction
example_inv_surp_b1_const60.41820.38610.99880.41890.99821.0861
example_inv_surp_b1_lin10060.44340.38930.99800.44470.99691.0269
dist0p25_tokcc0p75_a0p25_b1_const60.45760.38040.99820.45870.99741.0417
dist0p10_tokcc0p90_a0p25_b1_const60.45780.37610.99840.45900.99731.0422
dist0p75_tokcc0p25_a0p25_b1_const60.45930.37350.99760.46090.99641.0442
raw_b1_const60.46100.38070.99790.46250.99681.0417
raw_b1_lin10060.46170.37400.99790.46350.99611.0456
dist_plus_tokcc_a0p25_b1_const60.46210.37580.99860.46310.99781.0411
raw_b0p1_const60.46350.37480.99750.46530.99591.0424
raw_b0p1_lin10060.46380.37780.99780.46540.99661.0416
Selected strategy-match, router-probe, and analogical bars All loss-setting strategy-match, router-probe, and analogical bars

May01 And May02 Follow-Up Checks

The May01 follow-up adds tokinv_a1_eps1em8, tokinv_a1_eps1em4, dist0p10_tokcc0p90_a0p25, and dist0p25_tokcc0p75_a0p25. The May02 follow-up adds dist0p75_tokcc0p25_a0p25. Both follow-up slices are complete, including analogical summaries. In the fixed b0p01/lin100 single-task comparison, the matched-strategy router scores are 0.8870 for the 0.25 distribution-normalized / 0.75 TOK-CC mixture, 0.8825 for the May02 0.75 / 0.25 mixture, and 0.8811 for pure TOK-CC; the corresponding analogical overlaps are 0.9295, 0.9316, and 0.9152.

Selected rows for the current paper-facing comparison:

loss_settingn_completematched_strategy_router_scoreanalogical_set_overlapfinal_answer_accuracyrouter_probestrategy_match_ratebaseline_normalized_reconstruction
tokinv_a0p25_b0p01_lin10060.91760.95020.99870.91980.99778.7329
dist0p25_tokcc0p75_a0p25_b0p01_lin10060.88700.92950.99620.89310.99330.0215
dist0p75_tokcc0p25_a0p25_b0p01_lin10060.88250.93160.99610.88990.99190.0302
tokcc_a0p25_b0p01_lin10060.88110.91520.99000.90040.97897.8127
example_inv_surp_b0p01_lin10060.87890.92630.99680.88470.99350.0487
dist0p10_tokcc0p90_a0p25_b0p01_lin10060.87240.93020.99730.87820.99350.0224
dist_plus_tokcc_a0p25_b0p01_lin10060.86480.93070.99400.87250.99130.0634
dist_norm_b0p01_lin10060.86050.94240.99450.86660.99310.0172
dist0p05_tokcc0p95_a0p25_b0p01_lin10060.85540.90560.99120.87210.98140.0777
tokinv_a1_eps1em4_b0p01_lin10060.77650.82580.99740.78000.996111.4346
tokinv_a1_eps1em8_b0p01_lin10060.65110.57780.99760.65370.996413.9672

Best fixed beta/schedule setting within each May01/May02 follow-up family:

family_labelbest_loss_settingn_tasksmean_matched_scorestd_across_tasksworst_task_scoremean_minus_std
dist.25+tokcc.75 a.25dist0p25_tokcc0p75_a0p25_b0p01_lin10060.88700.01370.86120.8733
dist.75+tokcc.25 a.25dist0p75_tokcc0p25_a0p25_b0p01_lin10060.88250.05320.78400.8293
dist.10+tokcc.90 a.25dist0p10_tokcc0p90_a0p25_b0p01_lin10060.87240.05870.75650.8137
tokinv a1 eps1e-4tokinv_a1_eps1em4_b0p01_lin10060.77650.16120.50760.6153
tokinv a1 eps1e-8tokinv_a1_eps1em8_b0p01_lin10060.65110.15990.47820.4912

Which Loss Family Is Best?

Each row below represents the best fixed beta/schedule setting within one reconstruction family, using the mean matched-strategy router score across the six complete single-task datasets. The standard deviation and worst-task score report across-task reliability.

family_labelbest_loss_settingn_tasksmean_matched_scorestd_across_tasksworst_task_scoremean_minus_std
tokinv a.25tokinv_a0p25_b0p01_lin10060.91760.02180.89480.8958
dist.25+tokcc.75 a.25dist0p25_tokcc0p75_a0p25_b0p01_lin10060.88700.01370.86120.8733
dist.75+tokcc.25 a.25dist0p75_tokcc0p25_a0p25_b0p01_lin10060.88250.05320.78400.8293
tokcc a.25tokcc_a0p25_b0p01_lin10060.88110.02860.84370.8525
example inv-surpexample_inv_surp_b0p01_lin10060.87890.04510.80930.8337
dist.10+tokcc.90 a.25dist0p10_tokcc0p90_a0p25_b0p01_lin10060.87240.05870.75650.8137
dist+tokcc a.25dist_plus_tokcc_a0p25_b0p01_lin10060.86480.08020.71170.7845
dist normdist_norm_b0p01_lin10060.86050.06900.72760.7915
dist.05+tokcc.95 a.25dist0p05_tokcc0p95_a0p25_b0p01_lin10060.85540.08740.69380.7680
tokinv a1 eps1e-4tokinv_a1_eps1em4_b0p01_lin10060.77650.16120.50760.6153
tokinv a1 eps1e-8tokinv_a1_eps1em8_b0p01_lin10060.65110.15990.47820.4912
baseline ELBOraw_b0p01_lin10060.61310.15110.44970.4620
Best fixed loss setting per family Loss-family mean versus consistency Task scores for each family's best fixed setting

Family, Beta, And Schedule Views

The family-by-beta/schedule heatmap shows the same single-task mean aggregation as the table above. The final-answer-accuracy heatmap is included as a guardrail view.

Matched score by family, beta, and schedule Final answer accuracy by family, beta, and schedule

Beta Robustness

The beta-robustness panel plots mean analysis/router_probe_times_strategy_match_rate for each reconstruction family at beta 1, 0.1, and 0.01. Each point averages the complete single-task datasets available for that family and setting; error bars are standard deviations across those tasks. The two facets split constant beta from the linear-100% beta schedule, and the raw reconstruction family is labeled as the baseline ELBO.

Beta robustness of matched score

Analogical Consistency

The analogical evaluation reuses a latent sample across paired inputs and scores whether the inferred strategy sets overlap. The table below ranks fixed loss settings by mean analogical_steering/pair_set_overlap_rate across complete single-task datasets with analogical summaries. The May01 and May02 follow-up settings are now included.

loss_settingn_tasksanalogical_set_overlapanalogical_set_overlap_stdanalogical_set_overlap_given_both_nonemptyanalogical_unique_agreementmatched_strategy_router_score
tokinv_a0p25_b0p01_const60.95350.01630.96160.96110.8324
dist_plus_tokcc_a0p25_b0p01_const60.95040.04180.96780.96650.8479
tokinv_a0p25_b0p01_lin10060.95020.01520.95550.95430.9176
dist_norm_b0p01_lin10060.94240.02400.95460.95380.8605
dist0p75_tokcc0p25_a0p25_b0p01_const60.94170.03000.95840.95700.8279
dist0p25_tokcc0p75_a0p25_b0p1_lin10060.93290.01370.94270.93850.8796
dist_norm_b0p01_const60.93180.03760.94500.94170.8146
dist0p75_tokcc0p25_a0p25_b0p01_lin10060.93160.05530.95240.94920.8825
dist_plus_tokcc_a0p25_b0p01_lin10060.93070.03600.94810.93300.8648
dist0p10_tokcc0p90_a0p25_b0p01_lin10060.93020.08010.95290.95150.8724
example_inv_surp_b0p1_lin10060.92970.03430.93670.93420.8367
dist0p25_tokcc0p75_a0p25_b0p01_lin10060.92950.05990.94950.94620.8870
example_inv_surp_b0p01_const60.92850.10020.93630.93270.8301
dist0p10_tokcc0p90_a0p25_b0p1_lin10060.92710.02960.94310.94090.8548
dist0p25_tokcc0p75_a0p25_b0p01_const60.92660.06260.94020.93700.8467
example_inv_surp_b0p01_lin10060.92630.04280.93920.92370.8789
dist0p05_tokcc0p95_a0p25_b0p1_lin10060.92300.03110.94390.94090.8324

The correlation table below compares analogical set overlap with router-side latent metrics, final-answer accuracy, sampled strategy-match rate, and reconstruction metrics in this single-task slice.

comparison_metric_labeln_runspearson_r
matched-strategy router score4320.9275
router probe4320.9246
strategy-match rate432-0.1102
final answer accuracy432-0.1115
example-level reconstruction432-0.1346
distribution-normalized reconstruction432-0.1667
baseline-normalized reconstruction432-0.1668
token-level reconstruction432-0.9413
Analogical overlap versus matched score Analogical beta robustness Analogical overlap by family, beta, and schedule Analogical agreement decomposition

Reconstruction Frontier

The log-x reconstruction frontier plots reconstruction loss measures against matched-strategy router score for complete runs. The first panel uses the final baseline-normalized reconstruction loss; the following panels split out distribution-level normalized reconstruction, example-level inverse-surprisal reconstruction, and token-level concentration-corrected reconstruction.

Reconstruction versus matched score Distribution-level normalized reconstruction versus matched score Example-level reconstruction versus matched score Token-level reconstruction versus matched score

Paired Contrasts

The contrast table reports matched single-task deltas. Positive deltas mean the first setting in the contrast has higher matched-strategy router score.

contrastn_pairsmean_deltamedian_delta
beta_example_inv_surp_lin100_b0p01_minus_b160.43550.4635
family_dist0p25_tokcc0p75_a0p25_minus_raw_b0p1_lin10060.41570.4283
beta_example_inv_surp_const_b0p01_minus_b160.41200.4176
family_tokcc_a0p25_minus_raw_b0p1_lin10060.40120.4241
beta_dist0p10_tokcc0p90_a0p25_const_b0p01_minus_b160.39390.4244
beta_example_inv_surp_lin100_b0p1_minus_b160.39330.4372
family_dist0p10_tokcc0p90_a0p25_minus_raw_b0p1_lin10060.39100.4028
beta_dist0p25_tokcc0p75_a0p25_const_b0p01_minus_b160.38920.3912
family_dist_plus_tokcc_a0p25_minus_raw_b0p1_lin10060.38610.3972
beta_dist_plus_tokcc_a0p25_const_b0p01_minus_b160.38580.3791
Matched-score contrast ladder

Dynamics And Run Cards

The dynamics figure aggregates validation curves by reconstruction family. The run-card figure shows selected top and bottom complete runs with router and posterior latent snapshots.

Validation dynamics Top and bottom run cards

Top complete runs by matched-strategy router score:

task_nameloss_settingfinal_accrouter_probestrategy_matchmatched_scorebase_norm_recon
multidigit_additiondist0p05_tokcc0p95_a0p25_b0p01_lin1000.99590.96040.99590.95650.0418
multidigit_additiontokcc_a0p25_b0p1_lin1000.99740.94910.99740.94669.5374
linear_equation_solvingtokinv_a0p25_b0p01_lin1000.99880.94720.99850.94588.2572
multidigit_additiondist_plus_tokcc_a0p25_b0p1_lin1000.99780.94620.99780.94410.0311
base_conversionexample_inv_surp_b0p01_const0.99870.94540.99820.94370.0073
base_conversiondist_norm_b0p01_const0.99760.94580.99700.94300.0104
base_conversiondist_plus_tokcc_a0p25_b0p1_lin1000.99620.94650.99520.94200.0423
sorting_algorithmstokinv_a0p25_b0p01_lin1000.99990.94610.99470.94115.9916

Bottom complete runs by matched-strategy router score:

task_nameloss_settingfinal_accrouter_probestrategy_matchmatched_scorebase_norm_recon
sorting_algorithmsexample_inv_surp_b1_lin1000.99990.36220.99770.36141.1164
sorting_algorithmsexample_inv_surp_b1_const0.99990.36400.99810.36331.1154
grid_pathfindingtokinv_a1_eps1em4_b1_lin1001.00000.38300.99970.382923.3277
grid_pathfindingtokinv_a1_eps1em4_b1_const1.00000.38971.00000.389732.0520
grid_pathfindingtokinv_a1_eps1em8_b0p1_const1.00000.39160.99960.391424.5709
base_conversionexample_inv_surp_b1_lin1000.99820.39320.99650.39181.2452
grid_pathfindingexample_inv_surp_b1_const1.00000.39281.00000.39281.1354
grid_pathfindingtokinv_a1_eps1em8_b1_const0.99940.39430.99940.394130.8588

Repo-Side Artifacts

  • Aggregate directory: path:experiments/synthetic_sequences/disentangled/analysis/aggregates/exp2_continuous_cvae-Apr27-paper-basic-grid_20260429
  • Report: path:experiments/synthetic_sequences/disentangled/analysis/aggregates/exp2_continuous_cvae-Apr27-paper-basic-grid_20260429/report.md
  • Brief: path:experiments/synthetic_sequences/disentangled/analysis/aggregates/exp2_continuous_cvae-Apr27-paper-basic-grid_20260429/brief.yaml
  • Findings JSON: path:experiments/synthetic_sequences/disentangled/analysis/aggregates/exp2_continuous_cvae-Apr27-paper-basic-grid_20260429/findings.json
  • Notebook: path:experiments/synthetic_sequences/disentangled/analysis/aggregates/exp2_continuous_cvae-Apr27-paper-basic-grid_20260429/notebook.ipynb
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