{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:X56ET22POUBSHRRTUT6TRTOGUI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"63c2eb185745fa58a1b970f6519f36c04d03514610f60c248717301b8f9e8e15","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-10T13:50:49Z","title_canon_sha256":"7a077f548c1a0423dd8a98bc95fa67d211cea46e5ebbda69c0d54102d50bfbe2"},"schema_version":"1.0","source":{"id":"2509.08596","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.08596","created_at":"2026-07-05T12:08:32Z"},{"alias_kind":"arxiv_version","alias_value":"2509.08596v1","created_at":"2026-07-05T12:08:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.08596","created_at":"2026-07-05T12:08:32Z"},{"alias_kind":"pith_short_12","alias_value":"X56ET22POUBS","created_at":"2026-07-05T12:08:32Z"},{"alias_kind":"pith_short_16","alias_value":"X56ET22POUBSHRRT","created_at":"2026-07-05T12:08:32Z"},{"alias_kind":"pith_short_8","alias_value":"X56ET22P","created_at":"2026-07-05T12:08:32Z"}],"graph_snapshots":[{"event_id":"sha256:e20b1a782a52eb8e9e9f1d59cb5dca72bdde5b5acb2d185bc21824d0509d5960","target":"graph","created_at":"2026-07-05T12:08:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2509.08596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Biomedical question answering (QA) poses significant challenges due to the need for precise interpretation of specialized knowledge drawn from a vast, complex, and rapidly evolving corpus. In this work, we explore how large language models (LLMs) can be used for information retrieval (IR), and an ensemble of zero-shot models can accomplish state-of-the-art performance on a domain-specific Yes/No QA task. Evaluating our approach on the BioASQ challenge tasks, we show that ensembles can outperform individual LLMs and in some cases rival or surpass domain-tuned systems - all while preserving gene","authors_text":"Diego Molla-Aliod, Dima Galat","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-10T13:50:49Z","title":"LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.08596","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:67795ec12a0f227fed278a12ba7d1fdc3c6e4dd590525466ab920cbb68c2f14a","target":"record","created_at":"2026-07-05T12:08:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"63c2eb185745fa58a1b970f6519f36c04d03514610f60c248717301b8f9e8e15","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-10T13:50:49Z","title_canon_sha256":"7a077f548c1a0423dd8a98bc95fa67d211cea46e5ebbda69c0d54102d50bfbe2"},"schema_version":"1.0","source":{"id":"2509.08596","kind":"arxiv","version":1}},"canonical_sha256":"bf7c49eb4f750323c633a4fd38cdc6a2240cb34bdfd00bede50493e2dbc4aba7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf7c49eb4f750323c633a4fd38cdc6a2240cb34bdfd00bede50493e2dbc4aba7","first_computed_at":"2026-07-05T12:08:32.781478Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:08:32.781478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e9QaTPxI5Q29ud5c26qZHyB6sRikjscDWfoWqOqPDdOd/F9bjlhNro098TB5zloR9IaRX1tT1eLE5PRzToI9AA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:08:32.781986Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.08596","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67795ec12a0f227fed278a12ba7d1fdc3c6e4dd590525466ab920cbb68c2f14a","sha256:e20b1a782a52eb8e9e9f1d59cb5dca72bdde5b5acb2d185bc21824d0509d5960"],"state_sha256":"cc7a9e638b7a713a6ea1d910c21b3f604457ca02bd5b58182d89aadb267ee9da"}