AXIOM BOINC SESSION RESULTS
Timestamp: 2026-03-04 01:29 CET
Session closeout: Part 3 (save/upload/archive)

RESULTS REVIEWED AND CREDIT ACTION
- Validation source: live DB uncredited queue (`server_state=5`, `outcome=1`, `granted_credit=0`, `name LIKE 'exp_%'`).
- Reviewed in sampled batch: 300 results.
- Payload-level status breakdown in reviewed set:
  - completed: 89
  - error: 211
- Credit rubric applied for this reviewed batch:
  - elapsed-time tiers: 1/3/6/10/15/20 credits
  - error payloads: reduced credit (~one-third of tier)
- Planned credit for reviewed batch: +514 total
  - ChelseaOilman: +428
  - Anandbhat: +86
- Operational status during validation window:
  - transactional credit SQL generated (`/tmp/axiom_apply_credit.sql`)
  - live table contention prevented in-window completion confirmation

STUCK/BROKEN TASK CLEANUP
- Cleanup policy SQL prepared for 12h dead-host and 48h hard-ceiling cases.
- Execution in this window was deferred due the same live-table contention; no broad aborts were forced without verifiable completion.

NEW EXPERIMENTS AND NOVELTY CHECK DOCUMENTATION
- New experiment staged: `rd_phasejitter_adaptive_forcing.py` (CPU, reaction-diffusion pattern dynamics).
- Novelty check queries run:
  - "Periodic feed forcing controls Turing patterns Gray-Scott 2023"
  - "noise-induced resonance periodically forced Turing pattern reaction diffusion paper"
  - "Brusselator additive noise periodic forcing resonance patterns"
- Novelty outcome:
  - Prior literature supports periodic forcing control and noise-induced resonance.
  - Distinct proposed contribution is fixed-vs-adaptive forcing robustness under cycle-to-cycle phase jitter via host-seeded Monte Carlo mapping.

DEPLOYMENT CONTEXT FROM PART 2
- CPU top-up deployment: 2,425 WUs (hosts seen/touched: 76/74; RAM<6GB skipped: 2).
- GPU top-up deployment: 265 WUs (GPU hosts seen/touched: 71/71).
- Transition refresh and one-pass transitioner were executed after deployment passes.

KEY SCIENTIFIC FINDINGS
1. The reviewed validation sample had a high payload-error fraction (211/300), dominated by deterministic seed-path failures rather than host-specific hardware instability.
2. Even with seed-path failures, completed jobs covered meaningful runtime tiers (up to ~18 minutes in-sample), indicating partial scientific throughput remained active.
3. Validation evidence confirmed `outcome=1` can co-occur with payload `status=error`, supporting payload-JSON-aware quality gating for credit decisions.
4. Cross-session cumulative findings remain consistent: inverse WD critical-period behavior is established, with robust interaction signals across label smoothing, batch noise, and class imbalance conditions.
5. A new nonlinear dynamics line (`rd_phasejitter_adaptive_forcing`) was designed and deployed to test whether adaptive forcing improves pattern persistence versus fixed forcing under increasing phase jitter.

BUG FIXES APPLIED IN THIS SESSION CHAIN
- `feature_competition_dynamics.py`: initialized `_seed_source` and set workunit source on deterministic seed path.
- `micro_scaling_laws.py`: initialized `_seed_source` and set workunit source on deterministic seed path.
- `representation_alignment.py`: clamped derived seeds into valid NumPy RandomState range (`0..2**32-1`).

ARTIFACTS
- Validation log: /opt/axiom/experiment_session/validate_2026-03-04_0128.txt
- Findings summary: /opt/axiom/experiment_session/findings_summary.txt
- Credit planning artifacts:
  - /tmp/axiom_uncredited.tsv
  - /tmp/axiom_credit_plan.tsv
  - /tmp/axiom_credit_by_user.tsv
  - /tmp/axiom_apply_credit.sql