{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EM5Q4ORR6WH6HFPLFDZ3BXXUKK","short_pith_number":"pith:EM5Q4ORR","canonical_record":{"source":{"id":"2311.08303","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T16:46:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1857a296fd0903b5c548caa17d3ce866e8d27e293d485ff2ed5381c5e515e130","abstract_canon_sha256":"70d0219491525629b38299d02a46ba5249ce9228e218448f8519c165df452181"},"schema_version":"1.0"},"canonical_sha256":"233b0e3a31f58fe395eb28f3b0def452bfe5c80f1e9d16b18893df3081859fe4","source":{"kind":"arxiv","id":"2311.08303","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.08303","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.08303v2","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.08303","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"pith_short_12","alias_value":"EM5Q4ORR6WH6","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"pith_short_16","alias_value":"EM5Q4ORR6WH6HFPL","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"pith_short_8","alias_value":"EM5Q4ORR","created_at":"2026-07-05T09:34:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EM5Q4ORR6WH6HFPLFDZ3BXXUKK","target":"record","payload":{"canonical_record":{"source":{"id":"2311.08303","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T16:46:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1857a296fd0903b5c548caa17d3ce866e8d27e293d485ff2ed5381c5e515e130","abstract_canon_sha256":"70d0219491525629b38299d02a46ba5249ce9228e218448f8519c165df452181"},"schema_version":"1.0"},"canonical_sha256":"233b0e3a31f58fe395eb28f3b0def452bfe5c80f1e9d16b18893df3081859fe4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:34:10.469871Z","signature_b64":"j03XoNIT49DZhTmDq68nzfKi3mBdXgJ4Q1QPwzve02TiTwkVixYK8qD/JcW4HV14uo2Tzo554ea77gK7HacSDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"233b0e3a31f58fe395eb28f3b0def452bfe5c80f1e9d16b18893df3081859fe4","last_reissued_at":"2026-07-05T09:34:10.469366Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:34:10.469366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.08303","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:34:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RQCUEA0yIrhRy749pV5sQk+VeDmvWsEGVorF2rDhdDMJ0lkN6budg8XcXdwbNIC2Lmfz0jygywrRBe/QlghoDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T14:53:27.537799Z"},"content_sha256":"3b8a5f3ffbe227d7fe59ffc07e2546a0573f8f169182e3ba172a119014d8e88a","schema_version":"1.0","event_id":"sha256:3b8a5f3ffbe227d7fe59ffc07e2546a0573f8f169182e3ba172a119014d8e88a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EM5Q4ORR6WH6HFPLFDZ3BXXUKK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Extrinsically-Focused Evaluation of Omissions in Medical Summarization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Anitha Kannan, Daniel Rosenthal, Dhruv Naik, Elliot Schumacher, Geoffrey Tso, Luladay Price, Varun Nair","submitted_at":"2023-11-14T16:46:15Z","abstract_excerpt":"Large language models (LLMs) have shown promise in safety-critical applications such as healthcare, yet the ability to quantify performance has lagged. An example of this challenge is in evaluating a summary of the patient's medical record. A resulting summary can enable the provider to get a high-level overview of the patient's health status quickly. Yet, a summary that omits important facts about the patient's record can produce a misleading picture. This can lead to negative consequences on medical decision-making. We propose MED-OMIT as a metric to explore this challenge. We focus on using"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.08303","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2311.08303/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:34:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C9fcGlZfS4nphXuSevwPwPyp4/NDsMjHkXhrb2uhYRMhvzPfGo4b8ZQhHVJAbUR48NmY+dPqoFGwZlR/LI92Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T14:53:27.538212Z"},"content_sha256":"1d68f5ee80ac362dac2c7df963f2be4864204c14baa92ccc0dd8b2b2aaad297d","schema_version":"1.0","event_id":"sha256:1d68f5ee80ac362dac2c7df963f2be4864204c14baa92ccc0dd8b2b2aaad297d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EM5Q4ORR6WH6HFPLFDZ3BXXUKK/bundle.json","state_url":"https://pith.science/pith/EM5Q4ORR6WH6HFPLFDZ3BXXUKK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EM5Q4ORR6WH6HFPLFDZ3BXXUKK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-01T14:53:27Z","links":{"resolver":"https://pith.science/pith/EM5Q4ORR6WH6HFPLFDZ3BXXUKK","bundle":"https://pith.science/pith/EM5Q4ORR6WH6HFPLFDZ3BXXUKK/bundle.json","state":"https://pith.science/pith/EM5Q4ORR6WH6HFPLFDZ3BXXUKK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EM5Q4ORR6WH6HFPLFDZ3BXXUKK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EM5Q4ORR6WH6HFPLFDZ3BXXUKK","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":"70d0219491525629b38299d02a46ba5249ce9228e218448f8519c165df452181","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T16:46:15Z","title_canon_sha256":"1857a296fd0903b5c548caa17d3ce866e8d27e293d485ff2ed5381c5e515e130"},"schema_version":"1.0","source":{"id":"2311.08303","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.08303","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.08303v2","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.08303","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"pith_short_12","alias_value":"EM5Q4ORR6WH6","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"pith_short_16","alias_value":"EM5Q4ORR6WH6HFPL","created_at":"2026-07-05T09:34:10Z"},{"alias_kind":"pith_short_8","alias_value":"EM5Q4ORR","created_at":"2026-07-05T09:34:10Z"}],"graph_snapshots":[{"event_id":"sha256:1d68f5ee80ac362dac2c7df963f2be4864204c14baa92ccc0dd8b2b2aaad297d","target":"graph","created_at":"2026-07-05T09:34:10Z","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/2311.08303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have shown promise in safety-critical applications such as healthcare, yet the ability to quantify performance has lagged. An example of this challenge is in evaluating a summary of the patient's medical record. A resulting summary can enable the provider to get a high-level overview of the patient's health status quickly. Yet, a summary that omits important facts about the patient's record can produce a misleading picture. This can lead to negative consequences on medical decision-making. We propose MED-OMIT as a metric to explore this challenge. We focus on using","authors_text":"Anitha Kannan, Daniel Rosenthal, Dhruv Naik, Elliot Schumacher, Geoffrey Tso, Luladay Price, Varun Nair","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T16:46:15Z","title":"Extrinsically-Focused Evaluation of Omissions in Medical Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.08303","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":"sha256:3b8a5f3ffbe227d7fe59ffc07e2546a0573f8f169182e3ba172a119014d8e88a","target":"record","created_at":"2026-07-05T09:34:10Z","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":"70d0219491525629b38299d02a46ba5249ce9228e218448f8519c165df452181","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T16:46:15Z","title_canon_sha256":"1857a296fd0903b5c548caa17d3ce866e8d27e293d485ff2ed5381c5e515e130"},"schema_version":"1.0","source":{"id":"2311.08303","kind":"arxiv","version":2}},"canonical_sha256":"233b0e3a31f58fe395eb28f3b0def452bfe5c80f1e9d16b18893df3081859fe4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"233b0e3a31f58fe395eb28f3b0def452bfe5c80f1e9d16b18893df3081859fe4","first_computed_at":"2026-07-05T09:34:10.469366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:34:10.469366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"j03XoNIT49DZhTmDq68nzfKi3mBdXgJ4Q1QPwzve02TiTwkVixYK8qD/JcW4HV14uo2Tzo554ea77gK7HacSDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:34:10.469871Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.08303","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b8a5f3ffbe227d7fe59ffc07e2546a0573f8f169182e3ba172a119014d8e88a","sha256:1d68f5ee80ac362dac2c7df963f2be4864204c14baa92ccc0dd8b2b2aaad297d"],"state_sha256":"c27f5a7db1a170b0795a5cc11c6ac890967a275924833aa30a29ff843fffd6b2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t4xJXBy0S8LCPZajjrURUyeB5tVMv9vO78Op63Ta3PB8sVWnd0OUk4yl9iZ2ZdEmZBbDpffOwIBRz5sb4V2zAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T14:53:27.540975Z","bundle_sha256":"d8f6b02eda259443fce684b53e692fd4d623bd7ddcda62025799d5cf68041274"}}