AXIOM BOINC SESSION RESULTS LOG
Session timestamp: 2026-03-04 02:41:38
Scope: Part 1 validation/credit + Part 2 research/deploy

PART 1: RESULTS REVIEWED AND CREDIT AWARDED
- Validation source log: validate_2026-03-04_0238.txt.
- Uncredited success backlog at execution time: 0.
- Additional completed failure rows reviewed and credited: 7 rows (all zero-runtime, missing upload JSON).
- Session credit awarded: 1.4 total (0.2 each), under 10,000 cap.
- Credit recipients: Vato +0.2, Henk Haneveld +0.4, rilian +0.4, koll +0.4.
- Remaining uncredited completed rows after pass: 0.

STUCK/BROKEN TASK CLEANUP
- Broken prefix mitigation applied: pit_delay_inhibitor_resonance.
- Active tasks aborted for broken prefix (server_state IN (2,4)): 5.
- Dead-host stuck-task cleanup (>12h run, >6h no contact): 0.
- Hard-ceiling cleanup (>48h): 0.

PART 2: DEPLOYMENT SUMMARY
- Run log source: AutoReviewLogs/run_2026-03-03_1352.log.
- CPU deployment pass completed.
- CPU host-targeted queue fill: CPU_HOSTS_SEEN=81, CPU_SKIPPED_LOW_RAM=2 (<6GB), CPU_WU_CREATED=2937.
- CPU scripts used in deploy script:
  1) wd_batchnoise_interaction.py
  2) wd_labelsmooth_interaction.py
- Deployment method: host-targeted creation toward ~3x CPU-core queue depth.

GPU CHECKPOINT
- GPU deploy script in run log targeted scripts:
  1) wd_curvature_trigger_gpu.py
  2) wd_timing_scale_gpu.py
- Run log ended during SSH execution of GPU deployment command (no final GPU counters emitted in log).
- Post-run server checkpoint for these GPU prefixes:
  - Active GPU hosts with matching active tasks: 1 host (host 249, thonon-meylan).
  - Active GPU workunits across checkpointed prefixes: 1 active row.
  - Prefix totals currently present in DB: wd_curvature_trigger_gpu total=7 (active=1, hosts=7), wd_timing_scale_gpu total=6 (active=0, hosts=6).

NEW EXPERIMENTS DESIGNED + NOVELTY CHECK DOCUMENTATION
- Newly created script during Part 2: wd_batchnoise_interaction.py (compiled successfully on server).
- Scientific aim: test interaction between batch-size-driven gradient noise and late weight decay benefit (interaction_gain_difference metric).
- Novelty/literature checks recorded in run log:
  1) arxiv weight decay batch size interaction deep learning
  2) Scheduled Weight Decay paper arxiv 2021
  3) site:arxiv.org weight decay label smoothing interaction
  4) site:arxiv.org adaptive weight decay deep neural networks
  5) site:arxiv.org batch size weight decay generalization
  6) arxiv 1711.05101 decoupled weight decay regularization
- Retirement check executed in Part 2 before deployment; ABORT_TOTAL=0 (no unsent candidates at execution time).

KEY SCIENTIFIC FINDINGS
1. This validation pass produced no new science-bearing experiment_result payloads among newly credited rows; all 7 reviewed rows were immediate failures with missing upload JSON.
2. pit_delay_inhibitor_resonance shows a persistent cross-host zero-runtime failure signature (~93.3% failed in recent completed history), supporting targeted active-queue abort to reduce wasted volunteer compute.
3. Reliability signal remains consistent with dispatch/runtime-path instability (zero elapsed-time + missing payload) rather than corruption of completed science payloads.

NOTES
- This session log intentionally summarizes by experiment type and actions; no cumulative result ID ledger is included.