{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:25WZR6ABWJMWMMYRW2I3XTIGD2","short_pith_number":"pith:25WZR6AB","canonical_record":{"source":{"id":"2310.13767","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-20T19:01:01Z","cross_cats_sorted":[],"title_canon_sha256":"7412ecd88f4882d689089d6b148b75c6bc6f370261b836ea7c32b9c7ebe0cd96","abstract_canon_sha256":"94dc37310c398f4a8dfc0ef8eb74e3234243698f2ebecec18843363136d3cf8e"},"schema_version":"1.0"},"canonical_sha256":"d76d98f801b259663311b691bbcd061ea7766b1655ebed609ecd0cad510d0c4b","source":{"kind":"arxiv","id":"2310.13767","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.13767","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"arxiv_version","alias_value":"2310.13767v2","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.13767","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"pith_short_12","alias_value":"25WZR6ABWJMW","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"pith_short_16","alias_value":"25WZR6ABWJMWMMYR","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"pith_short_8","alias_value":"25WZR6AB","created_at":"2026-07-05T07:22:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:25WZR6ABWJMWMMYRW2I3XTIGD2","target":"record","payload":{"canonical_record":{"source":{"id":"2310.13767","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-20T19:01:01Z","cross_cats_sorted":[],"title_canon_sha256":"7412ecd88f4882d689089d6b148b75c6bc6f370261b836ea7c32b9c7ebe0cd96","abstract_canon_sha256":"94dc37310c398f4a8dfc0ef8eb74e3234243698f2ebecec18843363136d3cf8e"},"schema_version":"1.0"},"canonical_sha256":"d76d98f801b259663311b691bbcd061ea7766b1655ebed609ecd0cad510d0c4b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:50.519962Z","signature_b64":"vil1OHsG7EHaHO4uEs/mGB7KT6PNcu+7xFwSCdl7kwneO6hV5Bq1hZ5zIOHXdrTLZZ8Xq/VH+oV6MYpAL9mXDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d76d98f801b259663311b691bbcd061ea7766b1655ebed609ecd0cad510d0c4b","last_reissued_at":"2026-07-05T07:22:50.519407Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:50.519407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.13767","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":"2026-07-05T07:22:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/InfCpd+1m24mVQ26Ctk4VrDbkIVua4ZF2Ji+Rp6nGjOMYt4jfInqw4VHTh3qG4/rJhBpL5X9+6wDYY+HnMICA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:19:00.693496Z"},"content_sha256":"48e5f8c6414a7edfe77f87c34e400bc0360379a84be52b3c7a0f5b6ecdf91d74","schema_version":"1.0","event_id":"sha256:48e5f8c6414a7edfe77f87c34e400bc0360379a84be52b3c7a0f5b6ecdf91d74"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:25WZR6ABWJMWMMYRW2I3XTIGD2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph AI in Medicine","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Ayush Noori, Marinka Zitnik, Michelle M. Li, Owen Queen, Ruth Johnson","submitted_at":"2023-10-20T19:01:01Z","abstract_excerpt":"In clinical artificial intelligence (AI), graph representation learning, mainly through graph neural networks (GNNs), stands out for its capability to capture intricate relationships within structured clinical datasets. With diverse data -- from patient records to imaging -- GNNs process data holistically by viewing modalities as nodes interconnected by their relationships. Graph AI facilitates model transfer across clinical tasks, enabling models to generalize across patient populations without additional parameters or minimal re-training. However, the importance of human-centered design and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.13767","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/2310.13767/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":"2026-07-05T07:22:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bMyLseu/Fzd9/cs4gQkGJfVgsARDMIS3ZUcZWuTl4Qk+Tp+dKPkQQ6CgzJsxjjmXYovdj/SdAe96m7Xsc8xlCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:19:00.693985Z"},"content_sha256":"506457cf129e6a4a977f7ce5e9a42f7a8c50ec13a71514a262220d7be0a42696","schema_version":"1.0","event_id":"sha256:506457cf129e6a4a977f7ce5e9a42f7a8c50ec13a71514a262220d7be0a42696"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/25WZR6ABWJMWMMYRW2I3XTIGD2/bundle.json","state_url":"https://pith.science/pith/25WZR6ABWJMWMMYRW2I3XTIGD2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/25WZR6ABWJMWMMYRW2I3XTIGD2/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":"2026-08-07T08:19:00Z","links":{"resolver":"https://pith.science/pith/25WZR6ABWJMWMMYRW2I3XTIGD2","bundle":"https://pith.science/pith/25WZR6ABWJMWMMYRW2I3XTIGD2/bundle.json","state":"https://pith.science/pith/25WZR6ABWJMWMMYRW2I3XTIGD2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/25WZR6ABWJMWMMYRW2I3XTIGD2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:25WZR6ABWJMWMMYRW2I3XTIGD2","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":"94dc37310c398f4a8dfc0ef8eb74e3234243698f2ebecec18843363136d3cf8e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-20T19:01:01Z","title_canon_sha256":"7412ecd88f4882d689089d6b148b75c6bc6f370261b836ea7c32b9c7ebe0cd96"},"schema_version":"1.0","source":{"id":"2310.13767","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.13767","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"arxiv_version","alias_value":"2310.13767v2","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.13767","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"pith_short_12","alias_value":"25WZR6ABWJMW","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"pith_short_16","alias_value":"25WZR6ABWJMWMMYR","created_at":"2026-07-05T07:22:50Z"},{"alias_kind":"pith_short_8","alias_value":"25WZR6AB","created_at":"2026-07-05T07:22:50Z"}],"graph_snapshots":[{"event_id":"sha256:506457cf129e6a4a977f7ce5e9a42f7a8c50ec13a71514a262220d7be0a42696","target":"graph","created_at":"2026-07-05T07:22:50Z","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/2310.13767/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In clinical artificial intelligence (AI), graph representation learning, mainly through graph neural networks (GNNs), stands out for its capability to capture intricate relationships within structured clinical datasets. With diverse data -- from patient records to imaging -- GNNs process data holistically by viewing modalities as nodes interconnected by their relationships. Graph AI facilitates model transfer across clinical tasks, enabling models to generalize across patient populations without additional parameters or minimal re-training. However, the importance of human-centered design and ","authors_text":"Ayush Noori, Marinka Zitnik, Michelle M. Li, Owen Queen, Ruth Johnson","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-20T19:01:01Z","title":"Graph AI in Medicine"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.13767","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":"sha256:48e5f8c6414a7edfe77f87c34e400bc0360379a84be52b3c7a0f5b6ecdf91d74","target":"record","created_at":"2026-07-05T07:22:50Z","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":"94dc37310c398f4a8dfc0ef8eb74e3234243698f2ebecec18843363136d3cf8e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-20T19:01:01Z","title_canon_sha256":"7412ecd88f4882d689089d6b148b75c6bc6f370261b836ea7c32b9c7ebe0cd96"},"schema_version":"1.0","source":{"id":"2310.13767","kind":"arxiv","version":2}},"canonical_sha256":"d76d98f801b259663311b691bbcd061ea7766b1655ebed609ecd0cad510d0c4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d76d98f801b259663311b691bbcd061ea7766b1655ebed609ecd0cad510d0c4b","first_computed_at":"2026-07-05T07:22:50.519407Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:22:50.519407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vil1OHsG7EHaHO4uEs/mGB7KT6PNcu+7xFwSCdl7kwneO6hV5Bq1hZ5zIOHXdrTLZZ8Xq/VH+oV6MYpAL9mXDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:22:50.519962Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.13767","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:48e5f8c6414a7edfe77f87c34e400bc0360379a84be52b3c7a0f5b6ecdf91d74","sha256:506457cf129e6a4a977f7ce5e9a42f7a8c50ec13a71514a262220d7be0a42696"],"state_sha256":"289c124201f0c21fdd14da2c26f2600f3e7eea03fd67ab6cddb4040e74ed8614"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AFyxAmbxyXVnJ5lXqwI3JHZpcZVwD67IztBEHtOZbO4qXJp36dkt97B6wXDgGVPRD0jXes06/QAFzkvYwPVgDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:19:00.698685Z","bundle_sha256":"28cc54f443189692ee54594547ab55194ebb6764ca1b3135cefc4166f01dd3af"}}