{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BSHFBIBL3SUZMYNIGNKOMEPT26","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"200840bb34a4e7e04bb249f3db370a8fe91d1692e429f430063b414036bdd525","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-21T13:52:55Z","title_canon_sha256":"9746950f532a78cdc8256c42c848794827137c0d98cfbd762701b892373090f1"},"schema_version":"1.0","source":{"id":"2605.22501","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22501","created_at":"2026-05-22T01:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22501v1","created_at":"2026-05-22T01:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22501","created_at":"2026-05-22T01:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"BSHFBIBL3SUZ","created_at":"2026-05-22T01:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"BSHFBIBL3SUZMYNI","created_at":"2026-05-22T01:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"BSHFBIBL","created_at":"2026-05-22T01:04:47Z"}],"graph_snapshots":[{"event_id":"sha256:48f6e0a640d3111d25bdc9e73af070c7d45f37bd7d79cfb7e2609a1426170912","target":"graph","created_at":"2026-05-22T01:04:47Z","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/2605.22501/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite recent progress, Biomedical Entity Linking (BEL) with large language models (LLMs) remains computationally inefficient and challenging to deploy in practical settings. In this work, we demonstrate that instruction-tuning of open-source generative models can offer an effective solution when applied at the re-ranking stage of the BEL pipeline. We propose a set-wise instruction-tuning formulation that enables fast and accurate candidate selection. Our method demonstrates strong performance on multiple BEL benchmarks, yielding significant improvements in linking accuracy (3%-24%) while red","authors_text":"Darya Shlyk, Lawrence Hunter, Stefano Montanelli","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-21T13:52:55Z","title":"BeLink: Biomedical Entity Linking Meets Generative Re-Ranking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22501","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":"sha256:71e85f953e9bd52a1b4513447a5ccc497e91a2dd7d720f10c9a50d25b7354132","target":"record","created_at":"2026-05-22T01:04:47Z","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":"200840bb34a4e7e04bb249f3db370a8fe91d1692e429f430063b414036bdd525","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-21T13:52:55Z","title_canon_sha256":"9746950f532a78cdc8256c42c848794827137c0d98cfbd762701b892373090f1"},"schema_version":"1.0","source":{"id":"2605.22501","kind":"arxiv","version":1}},"canonical_sha256":"0c8e50a02bdca99661a83354e611f3d7955dafeda4adc69e7436836948bca392","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c8e50a02bdca99661a83354e611f3d7955dafeda4adc69e7436836948bca392","first_computed_at":"2026-05-22T01:04:47.846801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:04:47.846801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fZ8dV1fzRED7NJ8bM/ZDqrAeuQM4tYphrdTGlxbPtSQaSQMFl338wvzzM9IsC1K/4kIp7sJxztdfBukMy8yzDQ==","signature_status":"signed_v1","signed_at":"2026-05-22T01:04:47.848837Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22501","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71e85f953e9bd52a1b4513447a5ccc497e91a2dd7d720f10c9a50d25b7354132","sha256:48f6e0a640d3111d25bdc9e73af070c7d45f37bd7d79cfb7e2609a1426170912","sha256:42816627964333630c7db195de39f4ce73c0df7c840f215133c4329d24108828"],"state_sha256":"f4b1b8901d608340ae7859eee27feeffb5155d73d2d3a6e2b3c763e52491087f"}