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"overall": true }, { "test_id": 9, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true } ] }, { "file": "0-Core-Formalism/lean/Semantics/MetaManifoldLanguageMerging.lean", "prover": "GPU+FPGA", "status": "verified", "verified": true, "details": [ { "test_id": 0, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 1, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 2, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 3, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 4, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 5, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 6, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 7, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 8, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true }, { "test_id": 9, "mass_verified": true, "shell_verified": true, "phase_verified": true, "overall": true } ] } ], "bfs_audit": { "prover": "bfs_prover", "status": "success", "output": "Querying Auditor (deepseek-r1:8b)...\nConnecting to llama3.1:8b at http://localhost:11435 (Timeout: 600s)...\n\n================================================================================\nAVM TRACE AUDIT REPORT\n================================================================================\n**Audit Report**\n\n### Pass/Fail Checks\n\n1. **Stack Shape**: Passed\n\t* Both `nu_eff` and `q_eff` golden traces have a consistent stack shape throughout their execution.\n2. **PC Monotonicity**: Passed\n\t* The program counter (PC) is monotonically increasing in both golden traces, indicating correct instruction sequencing.\n3. **Instruction/Result Consistency**: Passed\n\t* Instructions and results are consistently represented across both golden traces.\n4. **Q16.16 Representation**: Passed\n\t* All values are correctly represented as Q16.16 fixed-point numbers.\n\n### Missing Metadata Fields\n\n1. **UART Configuration**: The manifest is missing UART configuration details for the FPGA replay, such as baud rate, protocol, sync request, and response.\n2. **Arithmetic Policy Details**: While the arithmetic policy is specified as \"Q16_16 signed saturating arithmetic per FixedPoint.lean\", more detailed information about the policy implementation would be beneficial.\n\n### Ambiguous Claims\n\n1. **Lean Theorem Targets**: The manifest specifies Lean theorem targets but does not provide explicit links to the corresponding Lean code or theorem statements.\n2. **Python Trace Generation**: Although the Python trace generator is specified, its version and any relevant configuration options are not provided in the manifest.\n\n### Claim-Boundary Problems\n\n1. **Provenance**: While the provenance section provides some information about the logic (Lean 4) and traces (Python 3.14), it lacks explicit connections to the Lean theorem targets, Python trace generation, Q16.16 arithmetic policy, and UART hardware replay.\n2. **Hashes**: The manifest includes hashes for various files but does not specify how these hashes were generated or verified.\n\n### Additional Recommendations\n\n1. **FPGA Replay Configuration**: Include detailed FPGA replay configuration information in the manifest to ensure deterministic replay on the target platform.\n2. **Lean Code and Theorem Statements**: Provide explicit links to the corresponding Lean code and theorem statements for the specified Lean theorem targets.\n3. **Python Trace Generation Details**: Specify Python version, relevant configuration options, or any other necessary details about the trace generator.\n\n**Audit Conclusion**\n\nThe golden traces appear to be correctly formatted and consistent with the specified arithmetic policy. However, some metadata fields are missing or ambiguous, which may impact the reproducibility and verifiability of the results. Addressing these issues will ensure a more robust and reliable AVM implementation.\n================================================================================\n\nAudit saved to: /home/allaun/Documents/Research Stack/shared-data/artifacts/audit/burgers_avm_trace_audit.md\n", "error": null } }