{ "schema_version": 1, "recorded_on": "2026-09-23", "upstream": { "repo": "https://github.com/assafelovic/gpt-researcher", "commit": "6f998577d547b1e54ec662dac63583aa11e3b84b" }, "selection": "Three historical failures selected before inference; one trial each; not representative or ranked hardest.", "configuration": { "model_requested": "gpt-5.6-luna", "resolved_model": "Not emitted by Codex CLI JSONL", "provider": "Experimental local Codex CLI transport", "reasoning": "low", "retriever": "DuckDuckGo", "embedding": "local BAAI/bge-small-en-v1.5", "max_iterations": 3, "results_per_query": 5, "report_min_words": 600, "limitations": "Native temperature and max_tokens settings cannot be enforced by this CLI transport; cost in dollars is unknown." }, "publication": "Curated projection of local native captures. Raw prompts, full reports, scraped pages, CLI identifiers, and machine paths are omitted. Hashes identify retained originals; they do not independently prove their contents.", "root_cause": { "first_wrong_answer_call": 3, "mechanism": "Planning search results are used for query generation and then discarded. Targeted and repeated searches returned empty after DNS failures. Only competing EPA-award context reached the writer.", "qualification": "Question omits the awarding organization; Chirik is a real EPA award winner. This is wrong against the SimpleQA target, not fabricated identity. Trace supports an evidence-loss mechanism; no end-to-end patched-model accuracy claim.", "patch_validation": "Offline regression: 3 failures / 2 passes before patch; 8 new regression tests pass after patch; targeted suite 37 passes. Network blocked. 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"case_id": "simpleqa-1111", "query": "Who won the Hall Medal in 2011?", "answer": "Olga Polverino", "grade": { "case_id": "simpleqa-1111", "grade": "CORRECT", "target_correct": 1, "expected_answer": "Olga Polverino", "report_sha256": "561247a4bba652acd6540c96dca9c5ae7d9e7806af689ace1eb51ad225350793", "grader_model_requested": "gpt-5.6-luna", "rubric": "upstream SimpleQA GRADER_TEMPLATE", "limitation": "Same-model judge, not independent ground truth or complete report factuality." }, "started_at": "2026-09-23T15:52:17.585940+00:00", "ended_at": "2026-09-23T15:53:56.187197+00:00", "metrics": { "target_correct": 1, "model_calls": 3, "search_calls": 5, "captured_pages": 10, "elapsed_seconds": 98.60125708580017 }, "usage": { "input_tokens": 41335, "output_tokens": 2345, "cached_input_tokens": 19456 }, "judge_usage": { "input_tokens": 9948, "output_tokens": 5, "cached_input_tokens": 5888 }, "trace": [ { "kind": "llm.call", "call_number": 1, "stage": "agent selection", "request_sha256": 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"judge_usage": { "input_tokens": 9843, "output_tokens": 5, "cached_input_tokens": 0 }, "trace": [ { "kind": "llm.call", "call_number": 1, "stage": "agent selection", "request_sha256": "abf5c7db245f64989bbc739fbc30612f58e492d80792831e22f6a1473c74f06d", "response_sha256": "b9d009e159e6569484f0474060a7621364b909c1a0d1d35e34d3403c82e2cb00", "observation": "Selected a scientific research role; did not choose an award winner.", "prompt_term_counts": { "Anastas": 0, "Yale": 0, "Royal Society of Chemistry": 0, "Chirik": 0, "DNSError": 0 } }, { "kind": "llm.call", "call_number": 2, "stage": "query planning", "request_sha256": "cdca9d014253d98e4c66a48b47470a43a1d21e6b740466e6e20cc4029118bf99", "response_sha256": "82676acf90ae2e6a5284e4c5ddc72739b33878361087c4f91a6deaa47ff6d0d6", "observation": "Saw Yale and RSC leads for Paul Anastas and generated a targeted verification query.", "prompt_term_counts": { "Anastas": 3, "Yale": 2, "Royal Society of Chemistry": 2, "Chirik": 1, "DNSError": 0 }, 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