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Windburn v0.3 Divergence-Gated Trust Promotion Goal

/goal
GOAL_MODE: yes
GOAL_MODE_V2: yes
STANDARD_PATH: yes
SELF_AWARENESS_REQUIRED: no unless runtime ownership becomes ambiguous
L2_PRESSURE: yes

RAW_REQUIREMENT

Build the first local research harness for Windburn v0.3 divergence-gated trust promotion. The harness should test whether a model-diverse challenger can reduce premature belief convergence without gaining authority over confidence, trust state, source truth, or time freshness.

HANDOFF_SUMMARY

Windburn v0.2 proves the local .learning substrate. v0.3 should test the next trust boundary: before a belief moves from verified to trusted, a challenger expands the hypothesis space, a materiality classifier decides which alternatives matter, and an external verifier or Supervisor resolves material blockers.

The challenger may be Grok/xAI if available, but the interface must stay provider-neutral. Grok is not a judge. Grok produces alternatives only.

SCOPED_EVIDENCE

Read only as needed:

  • docs/windburn-divergence-gated-trust-research.md
  • docs/windburn-cognitive-cache-direction.md
  • docs/windburn-cognitive-cache-dispatch.md
  • .learning/beliefs/grok-divergence-gate.md
  • scripts/windburn-verify.mjs
  • scripts/test-windburn-verify.mjs
  • Research Vault entries:
    • 20260411-2303-11366-reflexion
    • 20260411-competitor-landscape
    • 20260411-2310-08560-memgpt
    • 20260411-hermes-evensong-synthesis
    • 20260411-evensong-first-principles-audit
  • Web prior art:
    • Du et al. 2024, multiagent debate
    • Wang et al. 2022, self-consistency
    • Shinn et al. 2023, Reflexion
    • Park et al. 2023, Generative Agents
    • Maharana et al. 2024, LoCoMo

ANTI_OVER_READ

Do not read full issue history, raw transcripts, private screenshots, unrelated branches, or full agent rosters. Do not scan private memory stores unless the work proves a specific dependency and the operator approves.

NON_NEGOTIABLES

  • Do not touch Workbench Max.
  • Do not mutate Multica daemon, Desktop UI, live runtimes, agents, or autopilots.
  • Do not write to Research Vault without separate explicit approval.
  • Do not store secrets, OAuth material, raw transcripts, private screenshots, or raw request payloads.
  • Do not let challenger output change confidence, trust state, freshness, or source truth.
  • Do not let self-consistency or debate majority vote become proof.
  • Do not claim Grok superiority. Test structural separation, not model fandom.
  • Do not begin model training, GPU rental, SGLang cluster setup, or MLX training.

SUCCESS_METRIC

A local prototype exists that can:

  1. define and validate DivergencePacket schema;
  2. run at least 20 fixture beliefs through direct-promotion, self-consistency, same-model debate, and model-diverse challenger conditions;
  3. classify challenger alternatives as material / adjacent / speculative / off_scope;
  4. block trust promotion when material alternatives are unresolved;
  5. preserve good promotions when challenger output is irrelevant or speculative;
  6. prove authority_violation_count = 0;
  7. report material divergence yield, false divergence tax, early-convergence block rate, good-promotion survival rate, repeated-action regression, and review cost;
  8. produce a compact RUN_DIGEST with PASS / FLAG / BLOCK.

OPERATOR_CALL_CONDITIONS

Stop and ask the human before:

  • any live runtime mutation;
  • any remote VM or droplet mutation;
  • any Research Vault write;
  • any secret-bearing config access;
  • any source-truth memory write;
  • any trust-state promotion in shared .learning;
  • any model fine-tuning/training;
  • any destructive cleanup.

REQUIRED_SPEC_PACKET

SPEC_PACKET
objective:
research_question:
fixture_corpus:
conditions:
divergence_packet_schema:
materiality_classifier:
external_verifier_boundary:
metrics:
authority_violation_guards:
operator_call_conditions:
verdict: READY_TO_IMPLEMENT | NEEDS_DESIGN | OPERATOR_NEEDED

REQUIRED_CLOSEOUT

WINDBURN_DIVERGENCE_GATE_CLOSEOUT
goal_id:
changed:
verified:
fixture_count:
conditions_run:
material_divergence_yield:
false_divergence_tax:
early_convergence_block_rate:
good_promotion_survival_rate:
authority_violation_count:
residual_risk:
next_action:
verdict: PASS | FLAG | BLOCK