AXIOM BOINC SESSION LOG - PART 3 SAVE SUMMARY
Date: March 04, 2026
Time: 08:24 (America/Denver)
Source logs: validate_2026-03-04_0822.txt, run_2026-03-03_1352.log

PART 1 VALIDATION/CREDIT SUMMARY
- Reviewed and credited 129 completed results (success payloads only in this batch).
- Session credit awarded: 1,278 total.
- Runtime quality for credited batch: min=67.73s, median=844.54s, max=918.95s.
- Dominant reviewed families: interdep_flow_memory_shedding_tradeoff, nonmarkov_trap_release_window, metapop_allee_corridor, pit_delay_inhibitor_resonance, plus fiberbundle/grayscott delay variants.

CREDIT DISTRIBUTION (SESSION INCREMENT)
- ChelseaOilman +636
- Orange Kid +320
- Steve Dodd +136
- _Scandinavian_ +46
- WTBroughton +38
- Vato +30
- marmot +20
- PyHelix +12
- [DPC] hansR +10
- kotenok2000 +10
- makracz +10
- vanos0512 +10

QUEUE CLEANUP / TRIAGE
- Dead-host stuck-task aborts (>12h run, >6h host silence): 0
- Hard-ceiling aborts (>48h run): 0
- Broken-prefix emergency aborts: none
- Retired-prefix active checks remained at zero for the tracked broken set.

PART 2 DEPLOYMENT / RESEARCH SUMMARY
- New CPU experiment script created and uploaded: wd_batchnoise_interaction.py
  - Hypothesis: late WD benefit is stronger under small-batch gradient noise than large-batch training.
  - Script validated on server with python compile check.
- Retirement pass executed before deployment: ABORT_TOTAL=0 (no unsent rows for retire-list prefixes).

CPU DEPLOYMENT
- Deployment scripts used: wd_batchnoise_interaction.py, wd_labelsmooth_interaction.py
- CPU host scan: 81 hosts seen; 2 skipped (<6 GB RAM)
- CPU workunits created in deployment run: 2,937
- Targeting policy used: fill to ~3x CPU queue depth per host with host-targeted naming and replication.

GPU CHECKPOINT
- GPU deployment pass used scripts: wd_curvature_trigger_gpu.py, wd_timing_scale_gpu.py
- Run log shows GPU pass started as a separate mandatory phase.
- Current queue snapshot for those GPU lines (live DB check at save time):
  - wd_curvature_trigger_gpu: 14 hosts represented, 107 total result rows, 6 queued
  - wd_timing_scale_gpu: 15 hosts represented, 96 total result rows, 7 queued
  - Combined snapshot: 15 GPU hosts represented, 203 total rows, 13 queued

NOVELTY CHECK DOCUMENTATION (PART 2)
- Novelty/literature checks were run prior to deployment using targeted web queries, including:
  - weight decay x label smoothing interaction
  - adaptive/scheduled weight decay mechanisms
  - batch-size x weight-decay generalization interaction
  - decoupled weight decay prior art (e.g., AdamW lineage)
- New line selected for deployment focus: interaction-specific mechanism test (wd_batchnoise_interaction) rather than re-running already-settled WD families.

KEY SCIENTIFIC FINDINGS
1. The March 04 validation batch was fully parseable and success-only (129/129 experiment_result payloads), indicating clean data quality for credited outputs.
2. Delay/control ecology families continue to produce substantial successful throughput in credited returns, with median runtime around 14.1 minutes.
3. No immediate queue pathology was observed in this cycle (no dead-host stuck aborts, no >48h aborts, no cross-host all-fail emergency prefix).
4. Active WD research is now centered on mechanism-level interaction tests (batch-noise interaction, label-smoothing interaction, and curvature-trigger GPU timing) rather than broad legacy WD sweeps.

SESSION NOTES
- This log intentionally omits cumulative result-ID ledgers; authoritative credit state remains in BOINC/MySQL.