{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:IMOQXGKGHPI37WZF6VBDCIWQKY","short_pith_number":"pith:IMOQXGKG","canonical_record":{"source":{"id":"2501.16255","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T17:55:37Z","cross_cats_sorted":[],"title_canon_sha256":"a68ad9b09ad7031f0986a8bfbb17d989d9f7a903bc9df273e58dc1a6383be78c","abstract_canon_sha256":"0e940911e9655a6b91d32f469acdc1977b90d813c0e2b0a92867e5c0070af42e"},"schema_version":"1.0"},"canonical_sha256":"431d0b99463bd1bfdb25f5423122d0562b1d869f710f12d063fbd4cebb10dc6f","source":{"kind":"arxiv","id":"2501.16255","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.16255","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"arxiv_version","alias_value":"2501.16255v1","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.16255","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_12","alias_value":"IMOQXGKGHPI3","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_16","alias_value":"IMOQXGKGHPI37WZF","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_8","alias_value":"IMOQXGKG","created_at":"2026-07-05T10:05:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:IMOQXGKGHPI37WZF6VBDCIWQKY","target":"record","payload":{"canonical_record":{"source":{"id":"2501.16255","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T17:55:37Z","cross_cats_sorted":[],"title_canon_sha256":"a68ad9b09ad7031f0986a8bfbb17d989d9f7a903bc9df273e58dc1a6383be78c","abstract_canon_sha256":"0e940911e9655a6b91d32f469acdc1977b90d813c0e2b0a92867e5c0070af42e"},"schema_version":"1.0"},"canonical_sha256":"431d0b99463bd1bfdb25f5423122d0562b1d869f710f12d063fbd4cebb10dc6f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:05:57.688988Z","signature_b64":"edPT/VkcTgcWzt8eC0ahZBj+yCnWXWSi2N6MVf9cPzhr0Zl4AKlOrPcqdDWnWZdhYMdcvcB5Lvlxl3DaJZ9EDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"431d0b99463bd1bfdb25f5423122d0562b1d869f710f12d063fbd4cebb10dc6f","last_reissued_at":"2026-07-05T10:05:57.688456Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:05:57.688456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.16255","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":"2026-07-05T10:05:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r0+Cpk24Qte9N3P+ZyH9h5p46zAAUCWONHxoLsrQDovLea+V+8qj0ocY2Xley2Eh0tgsVrnUKf3atXcxCS5NAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T05:56:54.783047Z"},"content_sha256":"fa5ef031825e870fa20a0401ccfcc0b40b30195ca99265f88ca86df2cbd01133","schema_version":"1.0","event_id":"sha256:fa5ef031825e870fa20a0401ccfcc0b40b30195ca99265f88ca86df2cbd01133"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:IMOQXGKGHPI37WZF6VBDCIWQKY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A foundation model for human-AI collaboration in medical literature mining","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Behdad Afzali, Chang-In Choi, Christopher M. Zallek, Hanley Ong, Hyun-Jin Cho, Irfan Sheikh, Jenny J. Wei, Jimeng Sun, Joey Chan, Justin Rousseau, Kyungsang Kim, Lang Cao, Manjot K. Gill, Mehdi Emamverdi, Nicholas Wan, Qiao Jin, Sun-Hyung Kim, Yifan Peng, Yijia Li, Yi Liu, Zhiyong Lu, Zifeng Wang, Ziyang Xu","submitted_at":"2025-01-27T17:55:37Z","abstract_excerpt":"Systematic literature review is essential for evidence-based medicine, requiring comprehensive analysis of clinical trial publications. However, the application of artificial intelligence (AI) models for medical literature mining has been limited by insufficient training and evaluation across broad therapeutic areas and diverse tasks. Here, we present LEADS, an AI foundation model for study search, screening, and data extraction from medical literature. The model is trained on 633,759 instruction data points in LEADSInstruct, curated from 21,335 systematic reviews, 453,625 clinical trial publi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.16255","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/2501.16255/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":"2026-07-05T10:05:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eGmKeiQCfLoCtNFemwOZs5CumlszLc7SQ2LpgTFmUMiB3iQiSD0zJeO/oRsd2nwQHUC7UdlYqVZOezV5t6suBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T05:56:54.784003Z"},"content_sha256":"2bf201a7dd9fc0dfce2ee8d1fea1ae7366575495f04e340caf30666ef00dc0d3","schema_version":"1.0","event_id":"sha256:2bf201a7dd9fc0dfce2ee8d1fea1ae7366575495f04e340caf30666ef00dc0d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IMOQXGKGHPI37WZF6VBDCIWQKY/bundle.json","state_url":"https://pith.science/pith/IMOQXGKGHPI37WZF6VBDCIWQKY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IMOQXGKGHPI37WZF6VBDCIWQKY/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":"2026-08-08T05:56:54Z","links":{"resolver":"https://pith.science/pith/IMOQXGKGHPI37WZF6VBDCIWQKY","bundle":"https://pith.science/pith/IMOQXGKGHPI37WZF6VBDCIWQKY/bundle.json","state":"https://pith.science/pith/IMOQXGKGHPI37WZF6VBDCIWQKY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IMOQXGKGHPI37WZF6VBDCIWQKY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IMOQXGKGHPI37WZF6VBDCIWQKY","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":"0e940911e9655a6b91d32f469acdc1977b90d813c0e2b0a92867e5c0070af42e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T17:55:37Z","title_canon_sha256":"a68ad9b09ad7031f0986a8bfbb17d989d9f7a903bc9df273e58dc1a6383be78c"},"schema_version":"1.0","source":{"id":"2501.16255","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.16255","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"arxiv_version","alias_value":"2501.16255v1","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.16255","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_12","alias_value":"IMOQXGKGHPI3","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_16","alias_value":"IMOQXGKGHPI37WZF","created_at":"2026-07-05T10:05:57Z"},{"alias_kind":"pith_short_8","alias_value":"IMOQXGKG","created_at":"2026-07-05T10:05:57Z"}],"graph_snapshots":[{"event_id":"sha256:2bf201a7dd9fc0dfce2ee8d1fea1ae7366575495f04e340caf30666ef00dc0d3","target":"graph","created_at":"2026-07-05T10:05:57Z","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/2501.16255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Systematic literature review is essential for evidence-based medicine, requiring comprehensive analysis of clinical trial publications. However, the application of artificial intelligence (AI) models for medical literature mining has been limited by insufficient training and evaluation across broad therapeutic areas and diverse tasks. Here, we present LEADS, an AI foundation model for study search, screening, and data extraction from medical literature. The model is trained on 633,759 instruction data points in LEADSInstruct, curated from 21,335 systematic reviews, 453,625 clinical trial publi","authors_text":"Behdad Afzali, Chang-In Choi, Christopher M. Zallek, Hanley Ong, Hyun-Jin Cho, Irfan Sheikh, Jenny J. Wei, Jimeng Sun, Joey Chan, Justin Rousseau, Kyungsang Kim, Lang Cao, Manjot K. Gill, Mehdi Emamverdi, Nicholas Wan, Qiao Jin, Sun-Hyung Kim, Yifan Peng, Yijia Li, Yi Liu, Zhiyong Lu, Zifeng Wang, Ziyang Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T17:55:37Z","title":"A foundation model for human-AI collaboration in medical literature mining"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.16255","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:fa5ef031825e870fa20a0401ccfcc0b40b30195ca99265f88ca86df2cbd01133","target":"record","created_at":"2026-07-05T10:05:57Z","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":"0e940911e9655a6b91d32f469acdc1977b90d813c0e2b0a92867e5c0070af42e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-27T17:55:37Z","title_canon_sha256":"a68ad9b09ad7031f0986a8bfbb17d989d9f7a903bc9df273e58dc1a6383be78c"},"schema_version":"1.0","source":{"id":"2501.16255","kind":"arxiv","version":1}},"canonical_sha256":"431d0b99463bd1bfdb25f5423122d0562b1d869f710f12d063fbd4cebb10dc6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"431d0b99463bd1bfdb25f5423122d0562b1d869f710f12d063fbd4cebb10dc6f","first_computed_at":"2026-07-05T10:05:57.688456Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:57.688456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"edPT/VkcTgcWzt8eC0ahZBj+yCnWXWSi2N6MVf9cPzhr0Zl4AKlOrPcqdDWnWZdhYMdcvcB5Lvlxl3DaJZ9EDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:57.688988Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.16255","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa5ef031825e870fa20a0401ccfcc0b40b30195ca99265f88ca86df2cbd01133","sha256:2bf201a7dd9fc0dfce2ee8d1fea1ae7366575495f04e340caf30666ef00dc0d3"],"state_sha256":"99eaa60ccbfd0e3a35371d2476ed63f97f8cc3e55ea70d849baa3f9a58e49e33"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RB7pn7sbSeqQGcLpbQB+okL97sZuWynLibZJsrEvKKP5AA551/r1vO+HIZFrByt4F5VXj3iw/iWhRVFwl87YCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T05:56:54.789512Z","bundle_sha256":"d51d437a01b8b492dd44dcd6669c3090dfe954340134538b33c48120312f4987"}}