{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:KTOG3O2STUTYV5QZFJS3VMI675","short_pith_number":"pith:KTOG3O2S","canonical_record":{"source":{"id":"2605.30637","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T22:38:26Z","cross_cats_sorted":[],"title_canon_sha256":"4422d6dfe5371387de0f708e312093e484c912a7827c7b9212d5302f74c7b4e8","abstract_canon_sha256":"d41905f3098eed3c203a4ec98a2dffa3a0e2663937ece78b70849eefc82bbf84"},"schema_version":"1.0"},"canonical_sha256":"54dc6dbb529d278af6192a65bab11eff5c54313ebef063443bde39155f25d221","source":{"kind":"arxiv","id":"2605.30637","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30637","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30637v1","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30637","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_12","alias_value":"KTOG3O2STUTY","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_16","alias_value":"KTOG3O2STUTYV5QZ","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_8","alias_value":"KTOG3O2S","created_at":"2026-06-01T01:03:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:KTOG3O2STUTYV5QZFJS3VMI675","target":"record","payload":{"canonical_record":{"source":{"id":"2605.30637","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T22:38:26Z","cross_cats_sorted":[],"title_canon_sha256":"4422d6dfe5371387de0f708e312093e484c912a7827c7b9212d5302f74c7b4e8","abstract_canon_sha256":"d41905f3098eed3c203a4ec98a2dffa3a0e2663937ece78b70849eefc82bbf84"},"schema_version":"1.0"},"canonical_sha256":"54dc6dbb529d278af6192a65bab11eff5c54313ebef063443bde39155f25d221","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:03:05.593063Z","signature_b64":"24eyB3IYbJqYz9MVYeADVdsXKMNA/44XhZo8DPZkoJo/HKWNjuu7pCfmCthdUoanCfozWGmBCD/8OXjBv707CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54dc6dbb529d278af6192a65bab11eff5c54313ebef063443bde39155f25d221","last_reissued_at":"2026-06-01T01:03:05.592210Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:03:05.592210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.30637","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-01T01:03:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nEoSkNZIQa7HsbgBtYCdkSGuUHQWcc5HL/rQrSMyRYFKak1BNB4RWRItFTsrGEnvA/QNIo3SE5x00rhPk3oOBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:51:31.437267Z"},"content_sha256":"e2081443843ee2e2d7f6cd66219a2f5842b15168b9a24f5e117dabab0ca026fb","schema_version":"1.0","event_id":"sha256:e2081443843ee2e2d7f6cd66219a2f5842b15168b9a24f5e117dabab0ca026fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:KTOG3O2STUTYV5QZFJS3VMI675","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Carl Yang, Guanchen Wu, Hejie Cui, Jiaying Lu, Kai Shu, Keqi Han, Xiao Hu, Yunpeng Xiao, Yuzhang Xie, Ziyang Zhang","submitted_at":"2026-05-28T22:38:26Z","abstract_excerpt":"Clinical decision-making (CDM) is central to real-world clinical workflows, where clinicians infer diagnoses, select treatments, or anticipate future health outcomes under incomplete evidence. LLMs are increasingly used to support these decisions due to strong language capabilities, broad biomedical knowledge, and efficiency, yet the reliability of LLMs on real-world clinical decision tasks remains insufficiently understood. To evaluate CDM models, especially LLM-based models, an ideal and practical medical decision benchmark should be constructed via an automated yet reliable pipeline to ensu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30637","kind":"arxiv","version":1},"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/2605.30637/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":"2026-06-01T01:03:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qP1JA5glibK7kgRMqmv8/WjW/wLmmevPIcAJuJ2NOZToYhrpiYiC5C2cdlV+CdvetZkbj0WaeVOqSpz+SFijBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:51:31.437670Z"},"content_sha256":"bfc7a8668c97d5ebd2eb63ff8ce9aa1954c643f894e0879da805f2de421993d3","schema_version":"1.0","event_id":"sha256:bfc7a8668c97d5ebd2eb63ff8ce9aa1954c643f894e0879da805f2de421993d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KTOG3O2STUTYV5QZFJS3VMI675/bundle.json","state_url":"https://pith.science/pith/KTOG3O2STUTYV5QZFJS3VMI675/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KTOG3O2STUTYV5QZFJS3VMI675/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":"2026-06-01T22:51:31Z","links":{"resolver":"https://pith.science/pith/KTOG3O2STUTYV5QZFJS3VMI675","bundle":"https://pith.science/pith/KTOG3O2STUTYV5QZFJS3VMI675/bundle.json","state":"https://pith.science/pith/KTOG3O2STUTYV5QZFJS3VMI675/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KTOG3O2STUTYV5QZFJS3VMI675/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KTOG3O2STUTYV5QZFJS3VMI675","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":"d41905f3098eed3c203a4ec98a2dffa3a0e2663937ece78b70849eefc82bbf84","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T22:38:26Z","title_canon_sha256":"4422d6dfe5371387de0f708e312093e484c912a7827c7b9212d5302f74c7b4e8"},"schema_version":"1.0","source":{"id":"2605.30637","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30637","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30637v1","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30637","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_12","alias_value":"KTOG3O2STUTY","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_16","alias_value":"KTOG3O2STUTYV5QZ","created_at":"2026-06-01T01:03:05Z"},{"alias_kind":"pith_short_8","alias_value":"KTOG3O2S","created_at":"2026-06-01T01:03:05Z"}],"graph_snapshots":[{"event_id":"sha256:bfc7a8668c97d5ebd2eb63ff8ce9aa1954c643f894e0879da805f2de421993d3","target":"graph","created_at":"2026-06-01T01:03:05Z","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/2605.30637/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Clinical decision-making (CDM) is central to real-world clinical workflows, where clinicians infer diagnoses, select treatments, or anticipate future health outcomes under incomplete evidence. LLMs are increasingly used to support these decisions due to strong language capabilities, broad biomedical knowledge, and efficiency, yet the reliability of LLMs on real-world clinical decision tasks remains insufficiently understood. To evaluate CDM models, especially LLM-based models, an ideal and practical medical decision benchmark should be constructed via an automated yet reliable pipeline to ensu","authors_text":"Carl Yang, Guanchen Wu, Hejie Cui, Jiaying Lu, Kai Shu, Keqi Han, Xiao Hu, Yunpeng Xiao, Yuzhang Xie, Ziyang Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T22:38:26Z","title":"EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30637","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:e2081443843ee2e2d7f6cd66219a2f5842b15168b9a24f5e117dabab0ca026fb","target":"record","created_at":"2026-06-01T01:03:05Z","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":"d41905f3098eed3c203a4ec98a2dffa3a0e2663937ece78b70849eefc82bbf84","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-28T22:38:26Z","title_canon_sha256":"4422d6dfe5371387de0f708e312093e484c912a7827c7b9212d5302f74c7b4e8"},"schema_version":"1.0","source":{"id":"2605.30637","kind":"arxiv","version":1}},"canonical_sha256":"54dc6dbb529d278af6192a65bab11eff5c54313ebef063443bde39155f25d221","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54dc6dbb529d278af6192a65bab11eff5c54313ebef063443bde39155f25d221","first_computed_at":"2026-06-01T01:03:05.592210Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:05.592210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"24eyB3IYbJqYz9MVYeADVdsXKMNA/44XhZo8DPZkoJo/HKWNjuu7pCfmCthdUoanCfozWGmBCD/8OXjBv707CA==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:05.593063Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30637","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2081443843ee2e2d7f6cd66219a2f5842b15168b9a24f5e117dabab0ca026fb","sha256:bfc7a8668c97d5ebd2eb63ff8ce9aa1954c643f894e0879da805f2de421993d3"],"state_sha256":"8f7b3a335629754263944823c4f58a951a63caa41a72a26d066ac5827facaef7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3CegHIImd+y8WnqN6wIIWWRdj+eiWKu1YAu7EuFlQ73kOvu+XtTWKvQ8MhRKZPdI2ZpjOX24Ycc7OFbk9/3tDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T22:51:31.440531Z","bundle_sha256":"91e119d5b6cd07ee8dc643689d27f493f7ab0c80aea679aced8e70f3dad38270"}}