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Publish completed v2 reporting artifacts; preserve frozen training revision
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Plan My Day v2: measured follow-up

Status: complete. Generated 2026-09-07T11:40:53.941193+00:00.

This report preserves the original pilot. It tests a corrected conversational teacher, matched four-action training probabilities, fixed-student mistake trajectories, and balanced replay.

Teacher signal and development-only selection

Development status: completed.

Common pre-travel SFT baseline, evaluated with the same phase-three memory on all 72 development days: 79.2% complete schedules, 0.167 hard violations/day, and 0.986 correction flags/day.

Warm-start model

Prompt condition Accuracy Correct-action probability Accuracy on current mistakes Correct-action probability on current mistakes
unconditioned 59.4% 49.7% 0.0% 18.1%
legacy_malformed 94.8% 72.1% 89.7% 59.8%
corrected_conversational 97.9% 74.9% 94.9% 62.7%

Observed current mistakes: 39. Feedback probability gain on those mistakes: +44.7%; corrected-versus-malformed placement: +2.9% (absolute probability differences).

Legacy placement only, with the identical richer v2 feedback; not v1 wording replay.

Common pre-travel SFT checkpoint

Prompt condition Accuracy Correct-action probability Accuracy on current mistakes Correct-action probability on current mistakes
unconditioned 70.8% 67.8% 0.0% 13.8%
legacy_malformed 94.8% 84.5% 82.1% 68.8%
corrected_conversational 97.9% 92.7% 92.9% 80.5%

Observed current mistakes: 28. Feedback probability gain on those mistakes: +66.7%; corrected-versus-malformed placement: +11.7% (absolute probability differences).

Legacy placement only, with the identical richer v2 feedback; not v1 wording replay.

Warm-start teacher gate: {'correct_probability_gain_on_mistakes': 0.4465137207164215, 'mistake_count': 39, 'passed': True, 'required_gain': 0.05}.

Pre-travel teacher gate: {'correct_probability_gain_on_mistakes': 0.6671588645216876, 'mistake_count': 28, 'passed': True, 'required_gain': 0.05}.

Development candidate Steps Historical fraction Distillation weight Complete schedules Hard violations/day Correction flags/day Promotion gate
develop-r25-w100-step64 64 25.0% 1.0 68.1% 0.264 1.153 False
develop-r25-w100-step192 192 25.0% 1.0 47.2% 0.458 2.931 False
develop-r25-w50-step64 64 25.0% 0.5 68.1% 0.278 1.250 False
develop-r25-w50-step192 192 25.0% 0.5 59.7% 0.347 1.542 False
develop-r50-w100-step64 64 50.0% 1.0 59.7% 0.125 1.722 False
develop-r50-w100-step192 192 50.0% 1.0 63.9% 0.319 1.250 False
develop-r50-w50-step64 64 50.0% 0.5 63.9% 0.153 1.736 False
develop-r50-w50-step192 192 50.0% 0.5 65.3% 0.194 0.931 False

Frozen selection: {'distillation_weight': 1.0, 'lr': 3e-05, 'name': 'r50-w100', 'replay_fraction': 0.5, 'steps': 64}. Continued-SFT budget: 110 updates/phase.

Selection label: diagnostic only; no promotion; eligible development candidates: 0. approximate training wall time, excluding evaluation/upload callbacks; not FLOPs.

Confirmatory held-out results

72 shared test days; optimizer seeds 17, 29, 43. The frozen comparator is evaluated once per phase. All trained values below are means of seed-level means.

Arm After phase Complete schedules Conflict-free final schedules Hard violations/day Correction flags/day Deferred tasks/day
Frozen SFT + memory 1: normal 63.9% 69.4% 0.375 1.556 0.111
Frozen SFT + memory 2: deadline 61.1% 66.7% 0.472 1.556 0.083
Frozen SFT + memory 3: travel 65.3% 70.8% 0.361 1.528 0.069
Continued SFT + memory 1: normal 79.6% 81.5% 0.185 1.093 0.019
Continued SFT + memory 2: deadline 77.8% 80.1% 0.199 0.931 0.028
Continued SFT + memory 3: travel 84.3% 85.2% 0.148 0.829 0.009
Corrected SDPO + memory 1: normal 67.6% 73.1% 0.296 1.352 0.088
Corrected SDPO + memory 2: deadline 65.3% 72.2% 0.329 1.542 0.088
Corrected SDPO + memory 3: travel 65.7% 75.5% 0.301 1.602 0.204

Paired SDPO minus SFT differences

Stage Complete schedules, percentage points [95% CI] Hard violations/day [95% CI] Correction flags/day [95% CI]
1 -12.037 [-20.370, -3.704] +0.111 [+0.019, +0.204] +0.259 [+0.125, +0.384]
2 -12.500 [-21.308, -3.241] +0.130 [+0.032, +0.231] +0.611 [+0.449, +0.778]
3 -18.519 [-25.926, -10.648] +0.153 [+0.060, +0.245] +0.773 [+0.648, +0.898]

Positive completion differences favor SDPO; negative violation/correction differences favor SDPO. Percentile intervals bootstrap the same day IDs jointly across all seed pairs, averaging seeds within each day. They are conditional on these three optimizer seeds and their shared v1 SFT warm start: not 216 independent test days, three independent pretrained models, or uncertainty over every possible training run.

Seed-specific raw checkpoint gates

Arm Seed Stage Versus phase-matched frozen Versus preceding stage, all weeks Earlier-week retention
sft 17 1 PASS n/a n/a
sft 17 2 FAIL FAIL FAIL
sft 17 3 PASS PASS PASS
sft 29 1 PASS n/a n/a
sft 29 2 PASS PASS PASS
sft 29 3 PASS FAIL FAIL
sft 43 1 PASS n/a n/a
sft 43 2 PASS FAIL FAIL
sft 43 3 PASS FAIL FAIL
sdpo 17 1 PASS n/a n/a
sdpo 17 2 FAIL FAIL FAIL
sdpo 17 3 FAIL PASS PASS
sdpo 29 1 FAIL n/a n/a
sdpo 29 2 PASS FAIL FAIL
sdpo 29 3 FAIL FAIL FAIL
sdpo 43 1 FAIL n/a n/a
sdpo 43 2 FAIL FAIL PASS
sdpo 43 3 FAIL FAIL FAIL

Gates require no measured worsening in hard violations, final conflict-free rate, or complete schedules overall and in each compared week. Correction counts cannot override failures. These are raw checkpoint checks, not a test-selected checkpoint or automatic deployment.

Week-specific means

Arm Stage Test week Complete schedules Hard violations/day Correction flags/day
frozen_sft 1 normal 62.5% 0.333 1.458
frozen_sft 1 deadline 62.5% 0.417 1.458
frozen_sft 1 travel 66.7% 0.375 1.750
frozen_sft 2 normal 62.5% 0.333 1.458
frozen_sft 2 deadline 58.3% 0.458 1.750
frozen_sft 2 travel 62.5% 0.625 1.458
frozen_sft 3 normal 62.5% 0.333 1.458
frozen_sft 3 deadline 58.3% 0.458 1.750
frozen_sft 3 travel 75.0% 0.292 1.375
sft 1 normal 77.8% 0.208 0.861
sft 1 deadline 84.7% 0.153 1.042
sft 1 travel 76.4% 0.194 1.375
sft 2 normal 76.4% 0.236 0.833
sft 2 deadline 83.3% 0.167 0.889
sft 2 travel 73.6% 0.194 1.069
sft 3 normal 83.3% 0.167 0.833
sft 3 deadline 86.1% 0.139 0.833
sft 3 travel 83.3% 0.139 0.819
sdpo 1 normal 62.5% 0.319 1.139
sdpo 1 deadline 73.6% 0.222 1.264
sdpo 1 travel 66.7% 0.347 1.653
sdpo 2 normal 66.7% 0.292 1.347
sdpo 2 deadline 68.1% 0.361 1.514
sdpo 2 travel 61.1% 0.333 1.764
sdpo 3 normal 68.1% 0.333 1.569
sdpo 3 deadline 72.2% 0.236 1.597
sdpo 3 travel 56.9% 0.333 1.639

Per-seed means

Arm Stage Seed Complete schedules Hard violations/day Correction flags/day
frozen_sft 1 single frozen evaluation 63.9% 0.375 1.556
frozen_sft 2 single frozen evaluation 61.1% 0.472 1.556
frozen_sft 3 single frozen evaluation 65.3% 0.361 1.528
sft 1 17 77.8% 0.194 1.139
sft 1 29 77.8% 0.208 1.014
sft 1 43 83.3% 0.153 1.125
sft 2 17 66.7% 0.306 1.125
sft 2 29 88.9% 0.083 1.000
sft 2 43 77.8% 0.208 0.667
sft 3 17 79.2% 0.208 0.819
sft 3 29 84.7% 0.139 0.847
sft 3 43 88.9% 0.097 0.819
sdpo 1 17 80.6% 0.181 1.222
sdpo 1 29 66.7% 0.319 1.181
sdpo 1 43 55.6% 0.389 1.653
sdpo 2 17 66.7% 0.361 1.250
sdpo 2 29 69.4% 0.319 1.653
sdpo 2 43 59.7% 0.306 1.722
sdpo 3 17 75.0% 0.167 1.097
sdpo 3 29 69.4% 0.292 1.319
sdpo 3 43 52.8% 0.444 2.389

Runtime, exposure, and compute

Development-calibrated approximate training wall time, not equal optimizer steps, examples, tokens, or FLOPs.

Phase of experiment Arm Completed training segments Optimizer updates Training seconds excluding callbacks
develop sdpo 4 768 723.306
develop sft 2 128 69.881
final sdpo 9 576 542.453
final sft 9 990 533.069

Exposure is not equal just because updates match: SFT nominally presents four examples/update; SDPO draws one prompt with four sampled one-token actions/update. Dataset composition, native observed generation counts, distinct prompt texts, nominal exposures, optimizer continuity, reported token metrics, and individual timings are retained in report.json when present in the source artifacts. Repeated prompt draws are not distinct examples.

Recorded Job running time: 4691.000 seconds across 4/4 timed Jobs. Estimated compute: $1.3031, covering 4/4 recorded Jobs.

Only recorded v2 Job compute, including recorded failed attempts. Estimates are not invoices and exclude hosting, prior pilot runs, and other services.

Boundaries and provenance

  • Synthetic public-rubric feedback and four offered actions, not measured human effort or real-user efficacy.
  • Correction flags are the original cost-minimization metric, not actual corrections automatically applied to trajectories.
  • Complete schedule means final_feasible and zero deferred tasks; original metrics remain available unchanged.
  • The frozen SFT comparator retains the shared warm-start adapter and receives phase-limited memory; it is evaluated once, not triplicated as an optimizer replicate.
  • Matched teacher-prompt diagnostics use identical v2 feedback in both placements, not an exact v1-wording replay.
  • Paired intervals resample shared day IDs jointly across three observed optimizer seeds; 216 seed/day evaluations are not 216 independent days.
  • All optimizer seeds share one v1 SFT warm-start checkpoint and one pretrained base; uncertainty is conditional on that shared warm start, not three independent pretrained-model replicates.
  • Passing descriptive checkpoint gates is not a statistical guarantee, monotonic learning claim, or live-demo promotion.
  • The fixed collector supplies identical historical student-state data; this is not continually recollected on-policy data for each changing arm.
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