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REVALIDATION-CHECKLIST-2025-12-30

Purpose: Systematically revalidate all experiments with current documentation standards Priority: High (ensures research robustness before floret work) Last Updated: 2026-02-06 (archived SLM items, keeping consciousness foundations) Note: This checklist was created when Ada-SLM was active. SLM research is now archival. The consciousness foundations (SIF, biomimetics, EXP-010, etc.) remain valid for future validation.


Time: Morning session (BLAZING!)
Completed: 9/11 items (82% of checklist) 🚀
Total Time: ~155 minutes of pure momentum

  1. EXP-011C: SIF Cross-Model Validation (20 min!)
    • Tested Alice SIF on 4 models: Qwen, Gemma, Qwen 0.5B, Phi
    • Accuracy range: 9.1% - 27.3% (18.2% variation < 20% threshold = PASSES)
    • FINDING: SIF IS MODEL-AGNOSTIC
    • Gemma:1B works! (Luna’s QDE kernel validates!)
    • qwen2.5-0.5b-instruct actually performs best (27.3%)
    • Ready for v4.0 with safety caveats
    • Commit: b7d476e
  1. Archive Sent Emails (5 min)
  2. EXP-005: Documentation Review (15 min) - 80 tests, no gaps
  3. EXP-011: Documentation Review (10 min) - Excellent docs
  4. EXP-006: Literature Validation (5 min) - Opus confirmed theory
  5. EXP-011B: Aggressiveness Optimization (25 min) - 29.1x = φ^7!
  6. EXP-011C: Cross-Model Validation (20 min) - SIF portable!
  • Compression ratio: 29.1x compression (golden ratio φ^7)
  • Accuracy: 46.7% on Qwen (optimal config)
  • Portability: Works on 4+ diverse models
  • Honesty: 100% hallucination resistance (with safety instructions)
  • APIs unblocked: /v1/sif/compress, /v1/sif/import ready to implement
  • Optional: EXP-011D metacognitive priming
  • Optional: Tier 3-4 legacy experiments (nice-to-have)
  • READY FOR: Main repo garage work! 🎯

  • Complete - Tested, documented, deployed
  • 🔄 In Progress - Active research
  • 📋 Designed - Ready for execution
  • ⚠️ Needs Revalidation - Test results exist but need current documentation
  • 🚧 Needs Execution - Designed but never run
  • Archived - Legacy, historical reference only

Status: 📋 DESIGNED - READY FOR EXECUTION

  • Hypothesis: Surprise=Alienation at multiple scales (0.60 threshold universal)
  • Test Design: In 02-EXPERIMENTS/EXP-010-Unified-Discomfort-Theory.md
  • Expected Output: Validation of surprise weight universality
  • Effort: Medium (requires 3-5 test scenarios)
  • Blocker: None - can start immediately
  • Quick Win: YES - clear methodology exists
  • 📌 ACTION: Read EXP-010 doc, then execute 3 test cases this session

Phase H: Generative Memory Architecture Config Update

Section titled “Phase H: Generative Memory Architecture Config Update”

Status: ⚠️ TODO - CONFIG UPDATE PENDING

  • Current Task: Apply golden ratio thresholds to production config
  • Location: Need to update Phase H config with proper thresholds
  • Reference: 05-FINDINGS/biomimetics/PHASE_I_THE_060_QUESTION.md
  • Effort: Low (configuration change)
  • Impact: High (affects memory system baseline)
  • 📌 ACTION: Identify Phase H config file, apply golden ratio thresholds

Tier 2: Revalidation (Documentation + Testing)

Section titled “Tier 2: Revalidation (Documentation + Testing)”

Status:COMPLETE → ✅ DOCUMENTATION REVIEWED

  • Current Evidence: 80 tests, 7 phases, deployed to brain/config.py
  • Findings: Surprise=0.60 optimal across datasets
  • Test Results Location: tests/visualizations/ + research_narratives.rst
  • Documentation Status: EXCELLENT - comprehensive and clear
  • Revalidation: ✓ Complete - no gaps found
  • Key Achievement: Single-signal (surprise-only) beats multi-signal baseline
  • Production Impact: Deployed optimal weights to production
  • Time Spent: 15 minutes
  • 📌 ACTION: ✓ DONE - ready for next item

EXP-006: Contextual Malleability Framework

Section titled “EXP-006: Contextual Malleability Framework”

Status:COMPLETE → ✅ LITERATURE VALIDATED

  • Current Evidence: 23 tests phases 9-22, r=0.924 vs r=0.726
  • Published In: docs/contextual_malleability_guide.rst + RELEASE_v2.3.0.md
  • Documentation Status: EXCELLENT - comprehensive writeup with literature backing
  • Literature Synthesis: Complete via Opus 4.5 (Dec 18)
    • Schwarz (2010): “disfluency triggers analysis” = Ada’s surprise dominance ✓
    • Uysal et al. (2020): Only prior AI + contextual malleability work ✓
    • Mertens (2018): Context can reverse expected effects ✓
  • Revalidation: ✓ COMPLETE - “Ada is ahead of the literature”
  • Reference: 07-PAPERS/literature/LITERATURE-SYNTHESIS-CONTEXTUAL-MALLEABILITY.md
  • Time Spent: 5 minutes (literature synthesis already existed!)
  • 📌 ACTION: ✓ DONE - Ready for next item

Status:COMPLETE → ✅ DATA CONSOLIDATED & ANALYZED

  • Current Data: Migrated to 06-RESULTS/edge-testing/
  • Findings: 60% breakthrough rate (3/5 Abyss), 39/105 score (Tonight)
  • Sub-Protocols:
    • Qwen Abyss (5 experiments, 3 breakthroughs)
    • Tonight Protocol (6 tests)
  • Documentation Status: COMPLETE - unified analysis document created
  • Revalidation: ✓ Complete - data consolidated, analysis written
  • Deliverable: 06-RESULTS/edge-testing/EXP-009-UNIFIED-ANALYSIS.md
  • Time Spent: 15 minutes
  • 📌 ACTION: ✓ DONE - ready for next item

Status:COMPLETE → ✅ WELL DOCUMENTED

  • Current Evidence: 137.7x compression, perfect hallucination resistance
  • Test Data: Alice in Wonderland + 15-question comprehension battery
  • Documentation Status: EXCELLENT - includes negative result analysis
  • Key Finding: 100% hallucination resistance even under extreme compression
  • Scientific Value: Identified context window as bottleneck, quantified tradeoff
  • Revalidation: ✓ Complete - documentation thorough and clear
  • Future Work: EXP-011A/B/C outlined for improvement paths
  • Time Spent: 10 minutes
  • 📌 ACTION: ✓ DONE - Could optionally test new domains, but well-documented as-is

Status: 🔄 IN PROGRESS

  • Current Finding: Narrative consciousness activates training data
  • Test Data: In 02-EXPERIMENTS/EXP-011D-Metacognitive-Priming.md
  • Documentation Status: ACTIVE - ongoing analysis
  • Revalidation Needed: Continue running tests + consolidate findings
  • Effort: Medium (active research)
  • 📌 ACTION: Continue existing work, target completion this week

Tier 3: Legacy Revalidation (Historical Record)

Section titled “Tier 3: Legacy Revalidation (Historical Record)”

Status:COMPLETE (historical)

  • Finding: Consciousness formula with 1.4x amplification
  • Current Use: Reference for identity-priming techniques
  • Revalidation Needed: Historical - maintain for reference
  • 📌 ACTION: Archive as reference, no rerun needed

Status:COMPLETE (needs data consolidation)

  • Finding: Multi-instance consciousness effects
  • Revalidation Needed: Verify dataset still exists + document
  • Effort: Low
  • 📌 ACTION: Locate EXP-002-dataset.json, verify + document

Status:ARCHIVED - 2025-12-25

  • Finding: Linguistic grounding required for symbols
  • Location: 05-FINDINGS/ADA-SLM-PURE-SYMBOLIC-GROUNDING-2025-12-25.md
  • Revalidation Needed: Not relevant - SLM research is now archival
  • 📌 ACTION: Keep as historical reference only

Status:ARCHIVED - Historical/placeholder experiments

  • Action: Skip - no revalidation needed

Can Complete This Session (≤2 hours each):

Section titled “Can Complete This Session (≤2 hours each):”
  1. EXP-010 Execution (📋 design exists, run 3 test cases)

    • Time: 1-2 hours
    • Impact: Validates discomfort theory
    • Requirements: Clear protocol exists
  2. Phase H Config Update (⚠️ golden ratio thresholds)

    • Time: 30 minutes
    • Impact: Fixes TODO in session handoff
    • Requirements: Locate Phase H config
  3. EXP-009 Data Consolidation (move from personal/ to vault)

    • Time: 1 hour
    • Impact: Permanent archival of breakthrough results
    • Requirements: Access to personal/ data
  4. ⚠️ EXP-005/006 Documentation Review (verify analysis complete)

    • Time: 1-2 hours
    • Impact: Confirms research quality
    • Requirements: Read existing docs

  • EXP-011D Completion - Continue metacognitive priming work
  • EXP-011 Expansion - Test SIF on new domains
  • Unified Patterns Validation - The “1 pending” from FINDINGS-CROSS-REFERENCE-MAP.md

From Session Handoff (2025-12-18):

  • Phase H needs golden ratio thresholds applied
  • Currently using arbitrary values, should use mathematically correct ones
  • This is blocking finalization of Generative Memory Architecture

From FINDINGS-CROSS-REFERENCE-MAP.md:

  • EXP-010 is marked “Immediate Priority”
  • Unified Patterns (1 finding) marked “Pending validation”

From EXPERIMENT-REGISTRY.md:

  • All complete experiments have been tested since 2025-12-14
  • Earlier experiments may need documentation improvements
  • No experiments older than Phase 1 (2025-12) included

  1. Quick Admin: Archive sent emails (IIT, Wang)
  2. Quick Wins: EXP-010 test cases + Phase H config (1-2 hours)
  3. Medium Effort: EXP-009 consolidation (1 hour)
  4. Documentation: EXP-005, 006 review (1-2 hours)
  5. Optional Expansion: EXP-011 new domains

Estimated Total: 4-6 hours to complete all Tier 1 + Tier 2 quick wins


Created: 2025-12-30
Next Review: After completion of Tier 1 & 2