{
  "updatedAt": "2026-09-30",
  "basis": "Local delivery summaries through 2026-09-29; model tests were not rerun while preparing this website.",
  "entries": [
    {
      "id": "cpu-regression",
      "date": "2026-09-28",
      "version": "v0.9.2",
      "category": "verified",
      "label": "Limited validation",
      "title": "A regression baseline for CPU learning transactions",
      "summary": "The delivery summary records 4,555 CPU regression tests, with 0 failures, 0 errors and 0 skipped tests.",
      "limit": "Passing tests does not establish autonomous research capability; the credit loss remains a synthetic contract.",
      "source": "v0.9.2 DELIVERY_STATUS.json / scope.full_regression"
    },
    {
      "id": "continuity",
      "date": "2026-09-28",
      "version": "v0.9.2",
      "category": "verified",
      "label": "Limited validation",
      "title": "The next step still matches after saving",
      "summary": "A limited CPU transaction checked the saving of master weights and momentum, and next-step consistency after continuation in a new process.",
      "limit": "This is not acceptance of a cold start from a single file for the complete integrated True model.",
      "source": "v0.9.2 DELIVERY_STATUS.json / new_process_next_step_equal"
    },
    {
      "id": "readonly-import",
      "date": "2026-09-29",
      "version": "True / A100 read-only",
      "category": "verified",
      "label": "Read-only import validation",
      "title": "Importing selected states from the real True model",
      "summary": "The same True model was restored on an A100. Read-only checks covered 47 master-weight states and 20 existing momentum states, containing 1,067,974 selected parameter values.",
      "limit": "This run included no forward pass, loss, gradient update or new checkpoint. It does not demonstrate that the new backend has completed real-model learning.",
      "source": "next_learning_v1 INDEPENDENT_ACCEPTANCE.json"
    },
    {
      "id": "real-layer",
      "date": "2026-09-29",
      "version": "v0.9.4",
      "category": "implemented",
      "label": "Summary record / limited comparison",
      "title": "Comparing the GDN core of the real layer 0",
      "summary": "The README records a 2-token prefill, 1-token continuation decode and 6 gradient comparisons.",
      "limit": "The raw evidence was not rerun while preparing this website. Outer linear projections still use native PyTorch; full-model integration remains to be validated.",
      "source": "v0.9.4 README_zh.md / acceptance scope"
    },
    {
      "id": "synthetic-loop",
      "date": "2026-09-29",
      "version": "v0.9.4",
      "category": "implemented",
      "label": "Synthetic trial",
      "title": "Connecting modification, learning and restoration",
      "summary": "The README records a trial with 456 synthetic parameters connecting Python backward computation, AdamW, saving and restoration in a new process.",
      "limit": "Training the real True model with the new backend has not passed acceptance. A synthetic trial cannot substitute for real-model validation.",
      "source": "v0.9.4 README_zh.md / acceptance scope"
    },
    {
      "id": "core-goal",
      "date": "2026-09-30",
      "version": "Core research",
      "category": "pending",
      "label": "Not yet demonstrated",
      "title": "Finding what is worth questioning without being told",
      "summary": "Autonomous problem formation and redefinition, new explanations, and the retention of reproducible improvements in research capability remain the core goals to be validated.",
      "limit": "We cannot currently claim that the entire base model runs in Python, that all internal thinking is visible, or that unlimited autonomous evolution has been achieved.",
      "source": "v0.9.2 autonomous_research_improvement_proven=false; v0.9.4 full integration remains to be validated"
    }
  ]
}