{ "schema_version": 1, "comparison_type": "cross-runtime output agreement against pinned BF16 source", "passed": true, "source_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0", "embedding_model": { "repo_id": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "revision": "e8f8c211226b894fcb81acc59f3b34ba3efd5f42", "pooling": "attention-mask mean pooling followed by L2 normalization", "maximum_tokens": 256 }, "thresholds": { "mean_semantic_similarity": 0.55, "per_case_severe_regression": 0.25 }, "baseline_valid": true, "candidate_functional": true, "semantic_gate_passed": true, "validation_inputs_match": true, "validation_inputs": { "prompts_sha256": "136a918e5fee962f2b52f8e520a0275fd5ec5569181e0f5fdf4910ee3c34d528", "tools_sha256": "86ae46ebdbb0324c9672eec87e6b7f7683b0eb9c8c7169dcabdf646cf9bab122", "image_sha256": "0b1ae6badbe19a6049305c36d165a34cdf36df00033842e265339b2b7f057295" }, "mean_semantic_similarity": 0.9368221938610077, "exact_matches": 3, "comparisons": [ { "id": "fact", "reference_passed": true, "candidate_passed": true, "exact_match": true, "sequence_agreement": 1.0, "semantic_similarity": 1.0, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "math", "reference_passed": true, "candidate_passed": true, "exact_match": false, "sequence_agreement": 0.6446280991735537, "semantic_similarity": 0.9139397144317627, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "code", "reference_passed": true, "candidate_passed": true, "exact_match": false, "sequence_agreement": 0.5797101449275363, "semantic_similarity": 0.9799442291259766, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "multiturn", "reference_passed": true, "candidate_passed": true, "exact_match": true, "sequence_agreement": 1.0, "semantic_similarity": 1.0, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "thinking_off", "reference_passed": true, "candidate_passed": true, "exact_match": false, "sequence_agreement": 0.9695290858725761, "semantic_similarity": 0.9862716794013977, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "reasoning_low", "reference_passed": true, "candidate_passed": true, "exact_match": false, "sequence_agreement": 0.6030150753768844, "semantic_similarity": 0.7996187210083008, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "reasoning_high", "reference_passed": true, "candidate_passed": true, "exact_match": false, "sequence_agreement": 0.6644295302013423, "semantic_similarity": 0.9212576150894165, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "long_form", "reference_passed": true, "candidate_passed": true, "exact_match": false, "sequence_agreement": 0.10660091047040972, "semantic_similarity": 0.8248775005340576, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "non_english", "reference_passed": true, "candidate_passed": true, "exact_match": false, "sequence_agreement": 0.7034482758620689, "semantic_similarity": 0.942312479019165, "severe_regression": false, "candidate_loop_score": 0.0 }, { "id": "json", "reference_passed": true, "candidate_passed": true, "exact_match": true, "sequence_agreement": 1.0, "semantic_similarity": 1.0, "severe_regression": false, "candidate_loop_score": 0.0 } ], "functional_results": { "reference_text": { "passed": 10, "total": 10 }, "candidate_text": { "passed": 10, "total": 10 }, "reference_tools": { "passed": 5, "total": 5 }, "candidate_tools": { "passed": 5, "total": 5 }, "reference_vision": { "passed": 3, "total": 3 }, "candidate_vision": { "passed": 3, "total": 3 } }, "measurements": { "average_generation_tps": 14.54951526929673, "peak_memory_gb": 20.756765927, "artifact_bytes": 19467900026, "maximum_prompt_tokens_tested": 73, "loop_rate": 0.0 }, "warnings": [ "Semantic similarity is a measured embedding-model proxy, not ground-truth accuracy.", "Raw-logit equality is unavailable across all target runtimes; exact functional gates and output agreement are used for portable release validation.", "Sequence agreement is lexical and is reported diagnostically, not used as semantic accuracy." ] }