{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WU3XJCXHWFRE4ZTOLZUZHAS2I6","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":"856829c0e675e585cf45f383eb5d873c91f4a20bd7201b26936f82b18223e504","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-01T21:59:03Z","title_canon_sha256":"223358854aa33947aed11964d286a7cc0ad56f70435a2abaf8eb30266ef437ef"},"schema_version":"1.0","source":{"id":"2403.01002","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.01002","created_at":"2026-07-05T09:49:02Z"},{"alias_kind":"arxiv_version","alias_value":"2403.01002v2","created_at":"2026-07-05T09:49:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.01002","created_at":"2026-07-05T09:49:02Z"},{"alias_kind":"pith_short_12","alias_value":"WU3XJCXHWFRE","created_at":"2026-07-05T09:49:02Z"},{"alias_kind":"pith_short_16","alias_value":"WU3XJCXHWFRE4ZTO","created_at":"2026-07-05T09:49:02Z"},{"alias_kind":"pith_short_8","alias_value":"WU3XJCXH","created_at":"2026-07-05T09:49:02Z"}],"graph_snapshots":[{"event_id":"sha256:c1eb825c24b68db9b7f7da578bf74746763951f2928ca377805622335c7a017d","target":"graph","created_at":"2026-07-05T09:49:02Z","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/2403.01002/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Summarizing clinical text is crucial in health decision-support and clinical research. Large language models (LLMs) have shown the potential to generate accurate clinical text summaries, but still struggle with issues regarding grounding and evaluation, especially in safety-critical domains such as health. Holistically evaluating text summaries is challenging because they may contain unsubstantiated information. Here, we explore a general mitigation framework using Attribute Structuring (AS), which structures the summary evaluation process. It decomposes the evaluation process into a grounded ","authors_text":"Chandan Singh, Hoifung Poon, Jianfeng Gao, Paul Vozila, Praveen Subramanian, Sheng Zhang, Tristan Naumann, Yiqing Xie, Zelalem Gero","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-01T21:59:03Z","title":"Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.01002","kind":"arxiv","version":2},"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":"sha256:10eeb3a4c1acebeaa3d0942a1b93be0666122ec51aeb9014e71899d7d09e3a25","target":"record","created_at":"2026-07-05T09:49:02Z","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":"856829c0e675e585cf45f383eb5d873c91f4a20bd7201b26936f82b18223e504","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2024-03-01T21:59:03Z","title_canon_sha256":"223358854aa33947aed11964d286a7cc0ad56f70435a2abaf8eb30266ef437ef"},"schema_version":"1.0","source":{"id":"2403.01002","kind":"arxiv","version":2}},"canonical_sha256":"b537748ae7b1624e666e5e6993825a478f9a333f44f76d58c86036591d6096f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b537748ae7b1624e666e5e6993825a478f9a333f44f76d58c86036591d6096f5","first_computed_at":"2026-07-05T09:49:02.756192Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:02.756192Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2sMYdYTu5nZ3h/FNqXNZNjvp2w021TyQiTNfCJ3EgW03V3cYILTJuDJfu0O3QyriZZ1K3xsBWtnQa7gTIYTeDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:02.756728Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.01002","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10eeb3a4c1acebeaa3d0942a1b93be0666122ec51aeb9014e71899d7d09e3a25","sha256:c1eb825c24b68db9b7f7da578bf74746763951f2928ca377805622335c7a017d"],"state_sha256":"f4d698ebad63ef1ab4a71430658ed4f9b747d03a89bb67ae7356ae3037779b22"}