{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:HWLWWO4PGXTQ6MJUNQ4LTWCSOG","short_pith_number":"pith:HWLWWO4P","canonical_record":{"source":{"id":"2405.02321","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-21T15:54:27Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"4735f20b71334a65c31185b2196fd681788f08012bd22a84fd40ad07ce148097","abstract_canon_sha256":"5c6877a633212e717626271439035d2380f774c6aa4d877a306800e38c6f1caf"},"schema_version":"1.0"},"canonical_sha256":"3d976b3b8f35e70f31346c38b9d85271bba0dff462a6522841c0d8b22702998d","source":{"kind":"arxiv","id":"2405.02321","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.02321","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"arxiv_version","alias_value":"2405.02321v1","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.02321","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_12","alias_value":"HWLWWO4PGXTQ","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_16","alias_value":"HWLWWO4PGXTQ6MJU","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_8","alias_value":"HWLWWO4P","created_at":"2026-07-05T08:15:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:HWLWWO4PGXTQ6MJUNQ4LTWCSOG","target":"record","payload":{"canonical_record":{"source":{"id":"2405.02321","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-21T15:54:27Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"4735f20b71334a65c31185b2196fd681788f08012bd22a84fd40ad07ce148097","abstract_canon_sha256":"5c6877a633212e717626271439035d2380f774c6aa4d877a306800e38c6f1caf"},"schema_version":"1.0"},"canonical_sha256":"3d976b3b8f35e70f31346c38b9d85271bba0dff462a6522841c0d8b22702998d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:15:13.886636Z","signature_b64":"vJja8jDT1BbCSK+QOuFsGPPevRSmAO1XK9nktHLrMUWe9OaKU3sWnko9WInw4v1dA6YskDpo3hNISP+XtbB/Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d976b3b8f35e70f31346c38b9d85271bba0dff462a6522841c0d8b22702998d","last_reissued_at":"2026-07-05T08:15:13.886131Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:15:13.886131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.02321","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":"2026-07-05T08:15:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IN04BoOq1W9oRxSlQexaI3la1KSikCQr98UIUpUm420Ec+g3hpSCvLeeCGgqjqk6D3bwyFFk6k8hiqRYTmL1DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T01:08:39.772223Z"},"content_sha256":"8aadaf1020d968a067478f0005d10021d2026bebd38fccb71bc98f9874324b80","schema_version":"1.0","event_id":"sha256:8aadaf1020d968a067478f0005d10021d2026bebd38fccb71bc98f9874324b80"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:HWLWWO4PGXTQ6MJUNQ4LTWCSOG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.AI","authors_text":"Asim Abbas, Iram Wajahat, Mutahira Khalid, Raihana Rahman, Sushama Kumari, Syed Ahmad Chan Bukhari","submitted_at":"2024-04-21T15:54:27Z","abstract_excerpt":"Knowledge graphs (KGs) serve as powerful tools for organizing and representing structured knowledge. While their utility is widely recognized, challenges persist in their automation and completeness. Despite efforts in automation and the utilization of expert-created ontologies, gaps in connectivity remain prevalent within KGs. In response to these challenges, we propose an innovative approach termed ``Medical Knowledge Graph Automation (M-KGA)\". M-KGA leverages user-provided medical concepts and enriches them semantically using BioPortal ontologies, thereby enhancing the completeness of knowl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.02321","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/2405.02321/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":"2026-07-05T08:15:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gVck0BZLCEkJgci4yJY6fUMaykclK+gHmSsWUusUzm10UJSxp2jsfdIVfasTTQ7pSZvc+HjtAaN3nilsTDOkDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T01:08:39.772617Z"},"content_sha256":"c689a6b98590f766b2d70683513c2fa88ed3d7737a84b3100af233f11f7f1c19","schema_version":"1.0","event_id":"sha256:c689a6b98590f766b2d70683513c2fa88ed3d7737a84b3100af233f11f7f1c19"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HWLWWO4PGXTQ6MJUNQ4LTWCSOG/bundle.json","state_url":"https://pith.science/pith/HWLWWO4PGXTQ6MJUNQ4LTWCSOG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HWLWWO4PGXTQ6MJUNQ4LTWCSOG/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":"2026-08-22T01:08:39Z","links":{"resolver":"https://pith.science/pith/HWLWWO4PGXTQ6MJUNQ4LTWCSOG","bundle":"https://pith.science/pith/HWLWWO4PGXTQ6MJUNQ4LTWCSOG/bundle.json","state":"https://pith.science/pith/HWLWWO4PGXTQ6MJUNQ4LTWCSOG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HWLWWO4PGXTQ6MJUNQ4LTWCSOG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HWLWWO4PGXTQ6MJUNQ4LTWCSOG","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":"5c6877a633212e717626271439035d2380f774c6aa4d877a306800e38c6f1caf","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-21T15:54:27Z","title_canon_sha256":"4735f20b71334a65c31185b2196fd681788f08012bd22a84fd40ad07ce148097"},"schema_version":"1.0","source":{"id":"2405.02321","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.02321","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"arxiv_version","alias_value":"2405.02321v1","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.02321","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_12","alias_value":"HWLWWO4PGXTQ","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_16","alias_value":"HWLWWO4PGXTQ6MJU","created_at":"2026-07-05T08:15:13Z"},{"alias_kind":"pith_short_8","alias_value":"HWLWWO4P","created_at":"2026-07-05T08:15:13Z"}],"graph_snapshots":[{"event_id":"sha256:c689a6b98590f766b2d70683513c2fa88ed3d7737a84b3100af233f11f7f1c19","target":"graph","created_at":"2026-07-05T08:15:13Z","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/2405.02321/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowledge graphs (KGs) serve as powerful tools for organizing and representing structured knowledge. While their utility is widely recognized, challenges persist in their automation and completeness. Despite efforts in automation and the utilization of expert-created ontologies, gaps in connectivity remain prevalent within KGs. In response to these challenges, we propose an innovative approach termed ``Medical Knowledge Graph Automation (M-KGA)\". M-KGA leverages user-provided medical concepts and enriches them semantically using BioPortal ontologies, thereby enhancing the completeness of knowl","authors_text":"Asim Abbas, Iram Wajahat, Mutahira Khalid, Raihana Rahman, Sushama Kumari, Syed Ahmad Chan Bukhari","cross_cats":["cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-21T15:54:27Z","title":"Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.02321","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":"sha256:8aadaf1020d968a067478f0005d10021d2026bebd38fccb71bc98f9874324b80","target":"record","created_at":"2026-07-05T08:15:13Z","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":"5c6877a633212e717626271439035d2380f774c6aa4d877a306800e38c6f1caf","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-04-21T15:54:27Z","title_canon_sha256":"4735f20b71334a65c31185b2196fd681788f08012bd22a84fd40ad07ce148097"},"schema_version":"1.0","source":{"id":"2405.02321","kind":"arxiv","version":1}},"canonical_sha256":"3d976b3b8f35e70f31346c38b9d85271bba0dff462a6522841c0d8b22702998d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d976b3b8f35e70f31346c38b9d85271bba0dff462a6522841c0d8b22702998d","first_computed_at":"2026-07-05T08:15:13.886131Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:15:13.886131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vJja8jDT1BbCSK+QOuFsGPPevRSmAO1XK9nktHLrMUWe9OaKU3sWnko9WInw4v1dA6YskDpo3hNISP+XtbB/Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:15:13.886636Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.02321","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8aadaf1020d968a067478f0005d10021d2026bebd38fccb71bc98f9874324b80","sha256:c689a6b98590f766b2d70683513c2fa88ed3d7737a84b3100af233f11f7f1c19"],"state_sha256":"db1f46148767faeccb328ab0fdda74c316f2f47f098748dcc11c4010a1eaefd0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vuHT7ASXT2lV9s9WjmQgcktQbu+KOCz6X/R6tvPtOTAF5+buKR47uALPYHo7/GHyoKxOAjUcYNTgXkPvv7JwCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T01:08:39.775514Z","bundle_sha256":"61222b0387b4357fc82fd9fad907d31abbc6c7f42e531d0ef43534491ea308ce"}}