{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HYDMTI4CDJQJMTUMXUYUDXLN27","short_pith_number":"pith:HYDMTI4C","canonical_record":{"source":{"id":"2407.13463","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T12:36:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"12f9f3820e05e6683d0f8de72ff656aa98a2e9334b138d872b1ba820e85abef7","abstract_canon_sha256":"1e6788eab3ae3b9153b4242f430caa0ee96dc62adf719b7bdc97a6acd9644c29"},"schema_version":"1.0"},"canonical_sha256":"3e06c9a3821a60964e8cbd3141dd6dd7fbcdc1c4365cfa5f4e4cdb287a8783e5","source":{"kind":"arxiv","id":"2407.13463","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.13463","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"arxiv_version","alias_value":"2407.13463v1","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.13463","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_12","alias_value":"HYDMTI4CDJQJ","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_16","alias_value":"HYDMTI4CDJQJMTUM","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_8","alias_value":"HYDMTI4C","created_at":"2026-07-05T08:45:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HYDMTI4CDJQJMTUMXUYUDXLN27","target":"record","payload":{"canonical_record":{"source":{"id":"2407.13463","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T12:36:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"12f9f3820e05e6683d0f8de72ff656aa98a2e9334b138d872b1ba820e85abef7","abstract_canon_sha256":"1e6788eab3ae3b9153b4242f430caa0ee96dc62adf719b7bdc97a6acd9644c29"},"schema_version":"1.0"},"canonical_sha256":"3e06c9a3821a60964e8cbd3141dd6dd7fbcdc1c4365cfa5f4e4cdb287a8783e5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:45:39.322270Z","signature_b64":"CmCKtm4oSBDT7Dpr2QrYbsN+YgP1Fup1x55oZrnIe9xgWk6hUQNUg6BAZMoieQv3VbSUkYE5GET57rmXLwcECg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e06c9a3821a60964e8cbd3141dd6dd7fbcdc1c4365cfa5f4e4cdb287a8783e5","last_reissued_at":"2026-07-05T08:45:39.321843Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:45:39.321843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.13463","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":"2026-07-05T08:45:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b/SFv1elKU+p+hSdm0MQLgE/TueZb6RHjfGqptlpdgtWNt1Fyz8u5WBscWz/sLSsYirhhmlzsWESQPCBj95pBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:48:29.796151Z"},"content_sha256":"fb29109b8cb2a77537139b03729b08653ae6a9036e54a46ddd457a74480fc3fe","schema_version":"1.0","event_id":"sha256:fb29109b8cb2a77537139b03729b08653ae6a9036e54a46ddd457a74480fc3fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HYDMTI4CDJQJMTUMXUYUDXLN27","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-To-End Clinical Trial Matching with Large Language Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Christiane H\\\"oper, Daniel Truhn, Dirk J\\\"ager, Dyke Ferber, Georg W\\\"olflein, Heiko B\\\"ohme, Isabella C. Wiest, Jacqueline Lammert, Jakob Nikolas Kather, Jan Clusmann, JieFu Zhu, Lars Hilgers, Marie-Elisabeth Le{\\ss}mann, Maximilian Tschochohei, Mihaela Aldea, Peter Neidlinger","submitted_at":"2024-07-18T12:36:26Z","abstract_excerpt":"Matching cancer patients to clinical trials is essential for advancing treatment and patient care. However, the inconsistent format of medical free text documents and complex trial eligibility criteria make this process extremely challenging and time-consuming for physicians. We investigated whether the entire trial matching process - from identifying relevant trials among 105,600 oncology-related clinical trials on clinicaltrials.gov to generating criterion-level eligibility matches - could be automated using Large Language Models (LLMs). Using GPT-4o and a set of 51 synthetic Electronic Heal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.13463","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/2407.13463/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":"2026-07-05T08:45:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pcCmcPMsWSGN47v6A1HNzjabBc9+FFqvp6hhLMwaitKQyOkBbmaaJWHGc2TcRQmD5ItrJlNsUVBbJhtWz1HIAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T15:48:29.797075Z"},"content_sha256":"d901a21a5539aac8785766083d411a6f0fff67492fc15aa39a51f7b4c58a0877","schema_version":"1.0","event_id":"sha256:d901a21a5539aac8785766083d411a6f0fff67492fc15aa39a51f7b4c58a0877"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HYDMTI4CDJQJMTUMXUYUDXLN27/bundle.json","state_url":"https://pith.science/pith/HYDMTI4CDJQJMTUMXUYUDXLN27/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HYDMTI4CDJQJMTUMXUYUDXLN27/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":"2026-08-12T15:48:29Z","links":{"resolver":"https://pith.science/pith/HYDMTI4CDJQJMTUMXUYUDXLN27","bundle":"https://pith.science/pith/HYDMTI4CDJQJMTUMXUYUDXLN27/bundle.json","state":"https://pith.science/pith/HYDMTI4CDJQJMTUMXUYUDXLN27/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HYDMTI4CDJQJMTUMXUYUDXLN27/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HYDMTI4CDJQJMTUMXUYUDXLN27","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":"1e6788eab3ae3b9153b4242f430caa0ee96dc62adf719b7bdc97a6acd9644c29","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T12:36:26Z","title_canon_sha256":"12f9f3820e05e6683d0f8de72ff656aa98a2e9334b138d872b1ba820e85abef7"},"schema_version":"1.0","source":{"id":"2407.13463","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.13463","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"arxiv_version","alias_value":"2407.13463v1","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.13463","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_12","alias_value":"HYDMTI4CDJQJ","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_16","alias_value":"HYDMTI4CDJQJMTUM","created_at":"2026-07-05T08:45:39Z"},{"alias_kind":"pith_short_8","alias_value":"HYDMTI4C","created_at":"2026-07-05T08:45:39Z"}],"graph_snapshots":[{"event_id":"sha256:d901a21a5539aac8785766083d411a6f0fff67492fc15aa39a51f7b4c58a0877","target":"graph","created_at":"2026-07-05T08:45:39Z","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/2407.13463/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Matching cancer patients to clinical trials is essential for advancing treatment and patient care. However, the inconsistent format of medical free text documents and complex trial eligibility criteria make this process extremely challenging and time-consuming for physicians. We investigated whether the entire trial matching process - from identifying relevant trials among 105,600 oncology-related clinical trials on clinicaltrials.gov to generating criterion-level eligibility matches - could be automated using Large Language Models (LLMs). Using GPT-4o and a set of 51 synthetic Electronic Heal","authors_text":"Christiane H\\\"oper, Daniel Truhn, Dirk J\\\"ager, Dyke Ferber, Georg W\\\"olflein, Heiko B\\\"ohme, Isabella C. Wiest, Jacqueline Lammert, Jakob Nikolas Kather, Jan Clusmann, JieFu Zhu, Lars Hilgers, Marie-Elisabeth Le{\\ss}mann, Maximilian Tschochohei, Mihaela Aldea, Peter Neidlinger","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T12:36:26Z","title":"End-To-End Clinical Trial Matching with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.13463","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:fb29109b8cb2a77537139b03729b08653ae6a9036e54a46ddd457a74480fc3fe","target":"record","created_at":"2026-07-05T08:45:39Z","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":"1e6788eab3ae3b9153b4242f430caa0ee96dc62adf719b7bdc97a6acd9644c29","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2024-07-18T12:36:26Z","title_canon_sha256":"12f9f3820e05e6683d0f8de72ff656aa98a2e9334b138d872b1ba820e85abef7"},"schema_version":"1.0","source":{"id":"2407.13463","kind":"arxiv","version":1}},"canonical_sha256":"3e06c9a3821a60964e8cbd3141dd6dd7fbcdc1c4365cfa5f4e4cdb287a8783e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e06c9a3821a60964e8cbd3141dd6dd7fbcdc1c4365cfa5f4e4cdb287a8783e5","first_computed_at":"2026-07-05T08:45:39.321843Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:39.321843Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CmCKtm4oSBDT7Dpr2QrYbsN+YgP1Fup1x55oZrnIe9xgWk6hUQNUg6BAZMoieQv3VbSUkYE5GET57rmXLwcECg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:39.322270Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.13463","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb29109b8cb2a77537139b03729b08653ae6a9036e54a46ddd457a74480fc3fe","sha256:d901a21a5539aac8785766083d411a6f0fff67492fc15aa39a51f7b4c58a0877"],"state_sha256":"6a30788b80351d39c9e767b3d4b05f43329af99399fc781f7aa41b1f6d3686c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8FAZ895Oj8isF/w39mMLdK0w7f5/bUKcrqCtarvZTzcrjJGrERAO2YFDqlGSv2n686LZHw+NilQvrLqNOplCBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T15:48:29.804292Z","bundle_sha256":"f25852e9e42da1666b40d20fe59c41e09e305ce0a41dfe58f5f92e8b6650e9f7"}}