TOE-TEST-0053 LOGOS Sidecar Audit

DEGRADED_SIDECAR_ONLY
# TOE-TEST-0053 Report

**Question:** Can Flamehaven-LOGOS be used safely as an offline TOE candidate sidecar?

**Verdict:** `DEGRADED_SIDECAR_ONLY`

## Baseline Comparison

| Baseline | Method | Files | Python | Manifest |
|---|---|---:|---|---|
| TOE-TEST-0051 | governance scaffolding | 1 | False | False |
| TOE-TEST-0052 | executable analysis plus SPAR review | 9 | True | False |
| TOE-TEST-AEFSO | staged artifact-first experiment | 28 | False | True |

## LOGOS Detection

- Source syntax: `6/6` key files compile.
- Python package name `logos` resolves to: `__init__.py`
- Direct Flamehaven-LOGOS import status: `timeout`
- AATS smoke status: `timeout`
- TOE sidecar/report contract tests: `pass`

## Interpretation

The prior TOE-TEST pattern supports creating a distinct `TOE-TEST-0053` cell.
AEFSO is the best structural reference because it is a staged artifact-first
experiment, while TOE-TEST-0052 contributes the executable analysis-script
pattern.

LOGOS is present and source-valid, but runtime use is not yet clean if package
resolution points at a different `logos` package or direct imports time out.
Therefore LOGOS remains an offline candidate generator until a compatibility
adapter and import-latency fix are verified.

## Output Artifact Check

This run emits Markdown, HTML, PDF, JSON, a sample candidate packet, and a
manifest. HTML is the primary review artifact; PDF is a static review copy;
Markdown is the editable text report; JSON is the machine payload.

## Non-Claims

- This does not prove autonomous mathematical discovery.
- This does not prove LOGOS can run inside TOE API/dashboard request paths.
- This does not close a TOE architecture gap.
- This does not create a physics-law claim.

Embedded JSON Payload

{
  "test_id": "TOE-TEST-0053",
  "created_at": "2026-05-24T09:56:27+00:00",
  "question": "Can Flamehaven-LOGOS safely act as an offline TOE candidate sidecar?",
  "baseline_comparison": [
    {
      "name": "TOE-TEST-0051",
      "path": "TOE-TEST-0051",
      "exists": true,
      "file_count": 1,
      "suffix_counts": {
        ".md": 1
      },
      "has_python_script": false,
      "has_manifest": false,
      "has_pdf": false,
      "method": "governance scaffolding",
      "key_files": [
        "TOE_TEST_0051_LITERATURE_ADAPTER_SCAFFOLDING.md"
      ]
    },
    {
      "name": "TOE-TEST-0052",
      "path": "TOE-TEST-0052",
      "exists": true,
      "file_count": 9,
      "suffix_counts": {
        ".jpg": 1,
        ".md": 5,
        ".py": 1,
        ".json": 1,
        ".pdf": 1
      },
      "has_python_script": true,
      "has_manifest": false,
      "has_pdf": true,
      "method": "executable analysis plus SPAR review",
      "key_files": [
        "1778170167614.jpg",
        "analysis_report.md",
        "analysis_script.py",
        "EXTERNAL_SUMMARY.md",
        "GTE_Pedagogical_Review.md",
        "internal_data.json",
        "On the generalised Transport Equation as a Pedagogical Foundation.pdf",
        "QUESTION.md",
        "toe_spar_analysis.md"
      ]
    },
    {
      "name": "TOE-TEST-AEFSO",
      "path": "TOE-TEST-AEFSO",
      "exists": true,
      "file_count": 28,
      "suffix_counts": {
        ".md": 26,
        ".json": 1,
        ".txt": 1
      },
      "has_python_script": false,
      "has_manifest": true,
      "has_pdf": false,
      "method": "staged artifact-first experiment",
      "key_files": [
        "AEFSO_DOGFOOD_MATRIX.md",
        "AEFSO_DOGFOOD_RESULTS_v1.md",
        "AEFSO_DOGFOOD_RESULTS_v2.md",
        "AEFSO_DOGFOOD_RESULTS_v3.md",
        "AEFSO_DOGFOOD_RESULTS_v4.md",
        "AEFSO_DOGFOOD_RUN2_v1.md",
        "AEFSO_DOGFOOD_RUN4_v1.md",
        "AEFSO_DOGFOOD_RUN_v1.md",
        "AEFSO_EXPERIMENT_PLAN.md",
        "AEFSO_FHVAL_VALIDATION_CHECKLIST.md",
        "AEFSO_FHVAL_VALIDATION_v1.md",
        "AEFSO_INTERIM_DECISION.md",
        "AEFSO_IR_REQUIREMENTS_v1.md",
        "AEFSO_MANIFEST.json",
        "AEFSO_MISSING_LINK_SYNTHESIS.md",
        "AEFSO_RUN5_IR_DISCOVERY_v1.md",
        "AEFSO_RUN5_RESULTS_v1.md",
        "AEFSO_SPAR_REVIEW_TEMPLATE.md",
        "AEFSO_SPAR_REVIEW_v1.md",
        "README.md",
        "review.txt",
        "TOE_ARCHITECTURE_UPDATE_PLAN.md",
        "TOE_CHANGELOG_DRAFT_FOR_IR_UPDATE.md",
        "TOE_DOC_INTEGRATION_MAP.md",
        "TOE_GUARD_CARRYING_REPRESENTATION_SPEC_v1.md",
        "TOE_HYBRID_IR_DRAFT_v1.md",
        "TOE_NORMALIZATION_BOUNDARY_POLICY_v1.md",
        "TOE_UPDATE_DIAGNOSTIC_v1.md"
      ]
    }
  ],
  "logos_source_compile": [
    {
      "path": "runner.py",
      "exists": true,
      "status": "pass"
    },
    {
      "path": "evidence.py",
      "exists": true,
      "status": "pass"
    },
    {
      "path": "pipeline.py",
      "exists": true,
      "status": "pass"
    },
    {
      "path": "symbolic_verifier.py",
      "exists": true,
      "status": "pass"
    },
    {
      "path": "psi_field.py",
      "exists": true,
      "status": "pass"
    },
    {
      "path": "manifold_bridge.py",
      "exists": true,
      "status": "pass"
    }
  ],
  "logos_runtime_probe": {
    "package_name_resolution": {
      "args": [
        "python.exe",
        "-c",
        "import importlib.util; spec=importlib.util.find_spec('logos'); print(None if spec is None else spec.origin)"
      ],
      "cwd": "[workspace]",
      "timeout_s": 15,
      "duration_s": 0.105,
      "returncode": 0,
      "status": "pass",
      "stdout": "n",
      "stderr": ""
    },
    "direct_import": {
      "args": [
        "python.exe",
        "-c",
        "import sys; sys.path.insert(0, 'Flamehaven-LOGOS'); import aats.pipeline, bridge.manifold_bridge, missing_link.runner; print('flamehaven_logos_direct_import_ok')"
      ],
      "cwd": "[workspace]",
      "timeout_s": 20,
      "duration_s": 20.017,
      "returncode": null,
      "status": "timeout",
      "stdout": "",
      "stderr": ""
    },
    "aats_smoke": {
      "args": [
        "python.exe",
        "-c",
        "import sys; sys.path.insert(0, 'Flamehaven-LOGOS'); from aats.pipeline import AATSPipeline; result=AATSPipeline().run('bounded TOE candidate sidecar test','physics',{}); print(result.to_dict())"
      ],
      "cwd": "[workspace]",
      "timeout_s": 20,
      "duration_s": 20.028,
      "returncode": null,
      "status": "timeout",
      "stdout": "",
      "stderr": ""
    }
  },
  "toe_contract_probe": {
    "args": [
      "python.exe",
      "-m",
      "pytest",
      "tests/unit/test_logos_sidecar_contract.py",
      "tests/unit/test_research_run_export_contract.py",
      "-q"
    ],
    "cwd": "Flamehaven-TOE(Theory of Everything)",
    "timeout_s": 60,
    "duration_s": 2.317,
    "returncode": 0,
    "status": "pass",
    "stdout": "......                                                                   [100%]\n6 passed in 0.10s\n",
    "stderr": ""
  },
  "schema_id": "flamehaven_toe.logos_candidate_packet.v1",
  "verdict": "DEGRADED_SIDECAR_ONLY"
}