{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YSLEHK3I7P7DNWUKNNBSN2MSK6","short_pith_number":"pith:YSLEHK3I","canonical_record":{"source":{"id":"2404.15155","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-22T06:30:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3ff4bac4dc495dff280d456cd1d4db5ed9b12470da6aa5459de883a692fb2c3c","abstract_canon_sha256":"8fc9636e389439d6c07421f143110065a09346eef4f37c3d26b627e4dcbe9a12"},"schema_version":"1.0"},"canonical_sha256":"c49643ab68fbfe36da8a6b4326e992578203c0999f7dc5be23fdf8245d1e85e6","source":{"kind":"arxiv","id":"2404.15155","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15155","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15155v3","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15155","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"pith_short_12","alias_value":"YSLEHK3I7P7D","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"YSLEHK3I7P7DNWUK","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"YSLEHK3I","created_at":"2026-07-05T09:28:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YSLEHK3I7P7DNWUKNNBSN2MSK6","target":"record","payload":{"canonical_record":{"source":{"id":"2404.15155","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-22T06:30:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"3ff4bac4dc495dff280d456cd1d4db5ed9b12470da6aa5459de883a692fb2c3c","abstract_canon_sha256":"8fc9636e389439d6c07421f143110065a09346eef4f37c3d26b627e4dcbe9a12"},"schema_version":"1.0"},"canonical_sha256":"c49643ab68fbfe36da8a6b4326e992578203c0999f7dc5be23fdf8245d1e85e6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:28:11.803358Z","signature_b64":"g86IZQS6qe+latB0nXTLTrvjYCs+Qe1fZhsRywiSaR1UcsIbjqOvefHW7JR5IVDwea/98CEE57/ssQe3C+cCCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c49643ab68fbfe36da8a6b4326e992578203c0999f7dc5be23fdf8245d1e85e6","last_reissued_at":"2026-07-05T09:28:11.802874Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:28:11.802874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.15155","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:28:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vl8DwC9P5uXU04RskCXCEw8tiKPSDtp6hq92sACPIWLKR8BnEVEZT8DmouVNlMcagPB5ZzNKTPiL7RXb/M8kCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:12:23.844091Z"},"content_sha256":"ab659f6c93aa19ffa5488fe92c185220db85db5f87a07e0f9c3c9ce68935b8b2","schema_version":"1.0","event_id":"sha256:ab659f6c93aa19ffa5488fe92c185220db85db5f87a07e0f9c3c9ce68935b8b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YSLEHK3I7P7DNWUKNNBSN2MSK6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Chanwoo Park, Cynthia Breazeal, Daniel McDuff, Hae Won Park, Hyeonhoon Lee, Hyewon Jeong, Marzyeh Ghassemi, Xuhai Xu, Yik Siu Chan, Yubin Kim","submitted_at":"2024-04-22T06:30:05Z","abstract_excerpt":"Foundation models are becoming valuable tools in medicine. Yet despite their promise, the best way to leverage Large Language Models (LLMs) in complex medical tasks remains an open question. We introduce a novel multi-agent framework, named Medical Decision-making Agents (MDAgents) that helps address this gap by automatically assigning a collaboration structure to a team of LLMs. The assigned solo or group collaboration structure is tailored to the medical task at hand, emulating real-world medical decision-making processes adapted to tasks of varying complexities. We evaluate our framework an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15155","kind":"arxiv","version":3},"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/2404.15155/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":"2026-07-05T09:28:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q957Cq75jxN4LYCKm1rN/a0i2eqSsR9W0dAuIoZ++BEowUfpLNVHwCLsKT/neyZigDNNdzp24yBxPix/+b9YBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:12:23.844592Z"},"content_sha256":"1fd786062b98b4eed71a177c2e1d66bc82f4ff593abb74a68d3af4ef32a933a7","schema_version":"1.0","event_id":"sha256:1fd786062b98b4eed71a177c2e1d66bc82f4ff593abb74a68d3af4ef32a933a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YSLEHK3I7P7DNWUKNNBSN2MSK6/bundle.json","state_url":"https://pith.science/pith/YSLEHK3I7P7DNWUKNNBSN2MSK6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YSLEHK3I7P7DNWUKNNBSN2MSK6/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":"2026-08-06T17:12:23Z","links":{"resolver":"https://pith.science/pith/YSLEHK3I7P7DNWUKNNBSN2MSK6","bundle":"https://pith.science/pith/YSLEHK3I7P7DNWUKNNBSN2MSK6/bundle.json","state":"https://pith.science/pith/YSLEHK3I7P7DNWUKNNBSN2MSK6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YSLEHK3I7P7DNWUKNNBSN2MSK6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YSLEHK3I7P7DNWUKNNBSN2MSK6","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":"8fc9636e389439d6c07421f143110065a09346eef4f37c3d26b627e4dcbe9a12","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-22T06:30:05Z","title_canon_sha256":"3ff4bac4dc495dff280d456cd1d4db5ed9b12470da6aa5459de883a692fb2c3c"},"schema_version":"1.0","source":{"id":"2404.15155","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.15155","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"arxiv_version","alias_value":"2404.15155v3","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.15155","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"pith_short_12","alias_value":"YSLEHK3I7P7D","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"pith_short_16","alias_value":"YSLEHK3I7P7DNWUK","created_at":"2026-07-05T09:28:11Z"},{"alias_kind":"pith_short_8","alias_value":"YSLEHK3I","created_at":"2026-07-05T09:28:11Z"}],"graph_snapshots":[{"event_id":"sha256:1fd786062b98b4eed71a177c2e1d66bc82f4ff593abb74a68d3af4ef32a933a7","target":"graph","created_at":"2026-07-05T09:28:11Z","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/2404.15155/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Foundation models are becoming valuable tools in medicine. Yet despite their promise, the best way to leverage Large Language Models (LLMs) in complex medical tasks remains an open question. We introduce a novel multi-agent framework, named Medical Decision-making Agents (MDAgents) that helps address this gap by automatically assigning a collaboration structure to a team of LLMs. The assigned solo or group collaboration structure is tailored to the medical task at hand, emulating real-world medical decision-making processes adapted to tasks of varying complexities. We evaluate our framework an","authors_text":"Chanwoo Park, Cynthia Breazeal, Daniel McDuff, Hae Won Park, Hyeonhoon Lee, Hyewon Jeong, Marzyeh Ghassemi, Xuhai Xu, Yik Siu Chan, Yubin Kim","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-22T06:30:05Z","title":"MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.15155","kind":"arxiv","version":3},"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:ab659f6c93aa19ffa5488fe92c185220db85db5f87a07e0f9c3c9ce68935b8b2","target":"record","created_at":"2026-07-05T09:28:11Z","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":"8fc9636e389439d6c07421f143110065a09346eef4f37c3d26b627e4dcbe9a12","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-22T06:30:05Z","title_canon_sha256":"3ff4bac4dc495dff280d456cd1d4db5ed9b12470da6aa5459de883a692fb2c3c"},"schema_version":"1.0","source":{"id":"2404.15155","kind":"arxiv","version":3}},"canonical_sha256":"c49643ab68fbfe36da8a6b4326e992578203c0999f7dc5be23fdf8245d1e85e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c49643ab68fbfe36da8a6b4326e992578203c0999f7dc5be23fdf8245d1e85e6","first_computed_at":"2026-07-05T09:28:11.802874Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:11.802874Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g86IZQS6qe+latB0nXTLTrvjYCs+Qe1fZhsRywiSaR1UcsIbjqOvefHW7JR5IVDwea/98CEE57/ssQe3C+cCCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:11.803358Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.15155","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab659f6c93aa19ffa5488fe92c185220db85db5f87a07e0f9c3c9ce68935b8b2","sha256:1fd786062b98b4eed71a177c2e1d66bc82f4ff593abb74a68d3af4ef32a933a7"],"state_sha256":"34cc2b012b73dfec6ede3069b6f0247a4340decad035827cb5f93399dc177640"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nxAPmqY5oEpR9FaTvtugsW84K2JKxegTX1OxJQN2/7nJxqmFhxbJroDOcEw66CnrcS0Qo/6x5n72jY6Y+/H2Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T17:12:23.847908Z","bundle_sha256":"a5df80f14e5d5caca0e22ffca083b204d2e4c9de91c7ceee086d87f9f0c15318"}}