AXIOM BOINC SESSION RESULTS LOG
Session: s0303_part3_save_upload
Timestamp: 2026-03-03 20:04 (America/Denver)
Sources: validate_2026-03-03_1959.txt, run_2026-03-03_1352.log, findings_summary.txt

PART 1: RESULTS REVIEWED AND CREDIT AWARDED
- Reviewed and credited 10,000 completed uncredited `exp_*` results.
- Credited ID span: 1,601,577 through 1,624,526.
- Batch characteristics: outcome=5 for all 10,000; elapsed_time=0 for all 10,000.
- Upload payload check: 10,000/10,000 missing from `/opt/axiom_boinc/upload/*/exp_*` for this credited tranche.
- Dominant reviewed prefixes: progsharp (416), prog_sharp (323), neurcollapse (260), progressive_sharpening (212), neuralcollapse (207), thermov2 (130).

CREDIT AWARDED
- Session cap enforced: 10,000 total credit awarded (1.0 credit per reviewed result).
- Database updates:
  - `result.granted_credit` rows updated: 10,000
  - `user.total_credit` rows incremented: 47
  - `host.total_credit` rows incremented: 96
- Top user credit additions this session:
  - Amapola +1,046
  - ChelseaOilman +981
  - Landjunge +963
  - mmonnin +895
  - makracz +883
  - Steve Dodd +755
  - Josemi +698

STUCK/BROKEN TASK CLEANUP
- Part 1 validation pass:
  - Active queue check: no `exp_*` tasks in server_state 1,2,4 at review time.
  - Broken-experiment abort actions: none.
  - Dead-host >12h stuck-task aborts: 0
  - Hard >48h stuck-task aborts: 0
- Part 2 retirement pass:
  - Retirement candidates detected, but unsent backlog to abort was zero at execution time.
  - `ABORT_TOTAL=0` and transitioner pass completed.

PART 2: DEPLOYMENT AND RESEARCH SUMMARY
- New CPU experiment script added and compiled:
  - `wd_batchnoise_interaction.py` (uploaded to `/opt/axiom_boinc/html/user/experiments/` and `python3 -m py_compile` passed).
- CPU deployment pass completed from run log:
  - `CPU_HOSTS_SEEN=81`
  - `CPU_SKIPPED_LOW_RAM=2`
  - `CPU_WU_CREATED=2937`
  - CPU scripts used:
    - `wd_batchnoise_interaction.py`
    - `wd_labelsmooth_interaction.py`
- GPU deployment run was interrupted in the log during execution (`^C`), so checkpoint values were reconstructed from DB creation-time window aligned with this run.

GPU CHECKPOINT
- GPU hosts targeted in the Part 2 execution window: 79
- GPU workunits created in the Part 2 execution window: 315
- GPU scripts:
  - `wd_curvature_trigger_gpu.py` (184 WUs in-window)
  - `wd_timing_scale_gpu.py` (131 WUs in-window)

NOVELTY CHECK DOCUMENTATION (PART 2)
- Literature/novelty search queries in run log included:
  - `site:arxiv.org weight decay label smoothing interaction`
  - `site:arxiv.org adaptive weight decay deep neural networks`
  - `site:arxiv.org batch size weight decay generalization`
  - `"weight decay" "batch size" "schedule" neural networks`
  - `arxiv 1711.05101 decoupled weight decay regularization`
- Design decision captured in Part 2:
  - Proposed mechanism-focused interaction experiment (`wd_batchnoise_interaction.py`) testing whether late weight decay benefits are stronger under small-batch gradient-noise conditions.
  - This is framed as a mechanistic refinement of established ICP behavior, not a repeat-seed of already-settled WD baseline lines.

WEBSITE COUNTERS / BACKLOG SNAPSHOT (FROM PART 1)
- `credited_count.txt`: 89,503 -> 99,503
- `total_results_count.txt`: 54,859 -> 54,859
- Post-pass uncredited snapshot:
  - Success (`outcome=1`): 11,001
  - Failed/error (`outcome in 3,5,6`): 43,086
  - Total uncredited completed `exp_*`: 54,087

KEY SCIENTIFIC FINDINGS
1. The credited tranche in this session was dominated by legacy zero-elapsed failure cohorts (10,000/10,000 outcome=5 with missing payloads), so this pass added compute-fairness credit maintenance but no new payload-bearing evidence.
2. No reversal signal versus prior weight-decay ICP conclusions was observed; current WD/ICP interpretation remains unchanged.
3. Part 2 introduced and deployed mechanism-oriented follow-up experiments (batch-noise interaction and GPU curvature/timing probes), creating new data pathways specifically targeted at causal refinement rather than broad reseeding.

NOTES
- This log intentionally avoids cumulative result-ID inventories beyond this session span; the database remains source of truth for global credited history.