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  "schema_version": "trec-rag-2026-retrieval-submission-bundle-v1",
  "bundle_id": "cache-first-candidate-core-v1",
  "track": "TREC RAG 2026",
  "task": "R",
  "official_contract": {
    "checked_at": "2026-08-09",
    "guidelines_commit": "f281e88f61252662033c681df8b1ed2d0ceda97e",
    "test_data_commit": "a6255c10119a2984a874f46172d94045168ab1f3",
    "test_narratives_path": "trec-rag-data/trec-rag-2026/test-data/trec_rag_2026_queries.tsv",
    "test_narratives_sha256": "72dc2fd358d3eeda973397ccd7a8775545b19a6deaefc67709167eee6a9f8a2c",
    "expected_output_filename": "r_output_trec_rag_2026.tsv",
    "field_order": [
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      "Q0",
      "docid",
      "rank",
      "score",
      "run_id"
    ],
    "maximum_runs_per_task": 10,
    "evalbase_priority_required": true,
    "submission_url": "https://ir.nist.gov/evalbase/conf/trec-2026"
  },
  "evalbase": {
    "form_observed_at": "2026-08-09",
    "run_tag_maximum_characters": 20,
    "run_tag_pattern": "[A-Za-z0-9][A-Za-z0-9_.-]{0,19}",
    "common_answers": {
      "run_type": "automatic",
      "submission_purpose": "real run",
      "agents_used_during_development": "Yes",
      "retrieval_access": "combination of both",
      "retrieval_pipeline_category": "sparse/lexical",
      "retrieval_staging": "multi-stage",
      "uses_neural_networks": "Yes",
      "uses_proprietary_models": "No",
      "uses_open_weight_models": "Yes"
    },
    "classification_note": "Candidate documents came from the organizer's Pyserini REST API and a custom local scoring and selection system reranked them; no custom index was used. BM25 is the sparse candidate retriever, while neural planning and reranking are declared separately. Runtime models are open-weight. Codex agents assisted development but did not select documents at runtime."
  },
  "source": {
    "retrieval_artifact": "outputs/facet-deepseek-b40-v3",
    "source_run_id": "facet-deepseek-b40-v3",
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    "python_portability_fix_commit": "a2f5a5ffeebc6938dd946b2850876e3fc8f32903",
    "python_portability_fix_tree": "393b7c4ad56a0aefb68ca03d25b82198b81b63b2",
    "portal_projection_commit": "c8caca97060664ad323e89b89375f3a75aae9ee1",
    "portal_projection_tree": "8336049ec3e024730abf183735f4c303edbc024b",
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  "planner": {
    "backend": "trec_rag.facet_extraction.OpenRouterDeepSeekFacetBackend",
    "model": "deepseek/deepseek-v4-flash-20260423",
    "prompt_version": "subnarrative_query_generator_v1",
    "response_schema": "subnarrative_queries_v1",
    "execution": "bounded one-shot planning before retrieval",
    "weights_license": "MIT"
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  "candidate_selection": {
    "source_unit": "one authenticated original or facet:<subnarrative>:text retrieval lane",
    "threshold_population": "documents present in that authenticated source lane",
    "positive_mad_rule": "A_u(d) >= median_u + 2.5 * 1.4826 * MAD_u",
    "zero_mad_rule": "A_u(d) > median_u",
    "combination": "union of original-narrative and every facet-text lane admission",
    "empty_union_fallback": "one original-narrative argmax, then global best retrieval rank, then UTF-8 document ID",
    "shared_across_runs": true
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  "scorer": {
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    "input_policy": "topic_passage_query_text_v1",
    "score_representation": "raw_logits",
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    "inference_dtype": "bfloat16",
    "batch_size": 32
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    "backend": "trec_rag.chunking.SemanticTextChunker",
    "max_characters": 3500,
    "overlap_characters": 350,
    "trim": true
  },
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      "suggested_priority": 1,
      "run_id": "r26-narr-facet-v1",
      "path": "combo/r_output_trec_rag_2026.tsv",
      "evalbase_response_path": "combo/EVALBASE.md",
      "ranking": "0.5 narrative percentile + 0.5 * (0.7 best facet percentile + 0.3 second-best facet percentile)",
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      "name": "breadth",
      "suggested_priority": 2,
      "run_id": "r26-facet-breadth-v1",
      "path": "breadth/r_output_trec_rag_2026.tsv",
      "evalbase_response_path": "breadth/EVALBASE.md",
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      "name": "narrative",
      "suggested_priority": 3,
      "run_id": "r26-narrative-v1",
      "path": "narrative/r_output_trec_rag_2026.tsv",
      "evalbase_response_path": "narrative/EVALBASE.md",
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  "validation": {
    "topic_count": 119,
    "rows_per_run": 4246,
    "minimum_k": 1,
    "maximum_k": 121,
    "distinct_k_count": 61,
    "fallback_topic_count": 0,
    "same_topic_document_sets_across_runs": true,
    "dense_ranks_from_one": true,
    "nonincreasing_scores": true,
    "duplicate_topic_document_pairs": 0,
    "fresh_cache_replay": {
      "cache_hits": 167597,
      "cache_misses": 0,
      "model_batches": 0
    },
    "shared_cache_replay": {
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      "cache_misses": 0,
      "model_batches": 0
    },
    "privacy_review": {
      "contains_document_text": false,
      "contains_queries_or_narratives": false,
      "contains_credentials_or_private_urls": false
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    "path": "retrieval-baseline-runs-manifest.json",
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