{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:LMO2KHYXQ2FRF7Z4EIVB2GQFPB","short_pith_number":"pith:LMO2KHYX","canonical_record":{"source":{"id":"2102.10062","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-02-19T17:49:38Z","cross_cats_sorted":[],"title_canon_sha256":"c2e62c1c61b1cbac6ca01a1584570136072228da1b2c371c1833c4aecd603bb5","abstract_canon_sha256":"98cc45d15cf706d2178b11dad9b9bb52237b4660b0350e578cbef8a07048cb98"},"schema_version":"1.0"},"canonical_sha256":"5b1da51f17868b12ff3c222a1d1a057867b96b6179e9e57cc9b6b5501f1f69ec","source":{"kind":"arxiv","id":"2102.10062","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.10062","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"2102.10062v4","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.10062","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"LMO2KHYXQ2FR","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"LMO2KHYXQ2FRF7Z4","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"LMO2KHYX","created_at":"2026-07-05T05:00:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:LMO2KHYXQ2FRF7Z4EIVB2GQFPB","target":"record","payload":{"canonical_record":{"source":{"id":"2102.10062","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-02-19T17:49:38Z","cross_cats_sorted":[],"title_canon_sha256":"c2e62c1c61b1cbac6ca01a1584570136072228da1b2c371c1833c4aecd603bb5","abstract_canon_sha256":"98cc45d15cf706d2178b11dad9b9bb52237b4660b0350e578cbef8a07048cb98"},"schema_version":"1.0"},"canonical_sha256":"5b1da51f17868b12ff3c222a1d1a057867b96b6179e9e57cc9b6b5501f1f69ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:00:36.124437Z","signature_b64":"bN5Qw+cXFVjHJU05nVseHhiKNQdct0TuRiKUxZMDqqPiWWea45FmFSETOHo0AzeA5VQ3vW3f2aQ3R6NGabnnBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b1da51f17868b12ff3c222a1d1a057867b96b6179e9e57cc9b6b5501f1f69ec","last_reissued_at":"2026-07-05T05:00:36.123993Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:00:36.123993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.10062","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xVHFguxrBs+HhB597Pchimzx/eFbEr5rDre+JjWvOFMBkdKGpCiDI7LBZUjk107AmUIIUsd4/dbcBEh4I3fDDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:09:50.714478Z"},"content_sha256":"5baebbd5fc23594390255dba710dc52175770ba1e29e6062ddcb1502200308ca","schema_version":"1.0","event_id":"sha256:5baebbd5fc23594390255dba710dc52175770ba1e29e6062ddcb1502200308ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:LMO2KHYXQ2FRF7Z4EIVB2GQFPB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Andreas Bender, Charles Tapley Hoyt, Cheng Ye, Ian P Barrett, Ola Engkvist, Rowan Swiers, Stephen Bonner, William L Hamilton","submitted_at":"2021-02-19T17:49:38Z","abstract_excerpt":"Drug discovery and development is a complex and costly process. Machine learning approaches are being investigated to help improve the effectiveness and speed of multiple stages of the drug discovery pipeline. Of these, those that use Knowledge Graphs (KG) have promise in many tasks, including drug repurposing, drug toxicity prediction and target gene-disease prioritisation. In a drug discovery KG, crucial elements including genes, diseases and drugs are represented as entities, whilst relationships between them indicate an interaction. However, to construct high-quality KGs, suitable data is "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.10062","kind":"arxiv","version":4},"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/2102.10062/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":"2026-07-05T05:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ubFBQM6jFpEn14mLF8wwnon4D7FTZ/0njKZ4dp847drJF6a56wpoBmdeqg9Wet38DFgKBEwnEGqQUuTtVrBbDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:09:50.715122Z"},"content_sha256":"44bba88561f2c3b2919b58738c1c0fef9779355dfd3e404ca5da6ab23ea1bb63","schema_version":"1.0","event_id":"sha256:44bba88561f2c3b2919b58738c1c0fef9779355dfd3e404ca5da6ab23ea1bb63"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LMO2KHYXQ2FRF7Z4EIVB2GQFPB/bundle.json","state_url":"https://pith.science/pith/LMO2KHYXQ2FRF7Z4EIVB2GQFPB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LMO2KHYXQ2FRF7Z4EIVB2GQFPB/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":"2026-08-06T01:09:50Z","links":{"resolver":"https://pith.science/pith/LMO2KHYXQ2FRF7Z4EIVB2GQFPB","bundle":"https://pith.science/pith/LMO2KHYXQ2FRF7Z4EIVB2GQFPB/bundle.json","state":"https://pith.science/pith/LMO2KHYXQ2FRF7Z4EIVB2GQFPB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LMO2KHYXQ2FRF7Z4EIVB2GQFPB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:LMO2KHYXQ2FRF7Z4EIVB2GQFPB","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":"98cc45d15cf706d2178b11dad9b9bb52237b4660b0350e578cbef8a07048cb98","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-02-19T17:49:38Z","title_canon_sha256":"c2e62c1c61b1cbac6ca01a1584570136072228da1b2c371c1833c4aecd603bb5"},"schema_version":"1.0","source":{"id":"2102.10062","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.10062","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"2102.10062v4","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.10062","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"LMO2KHYXQ2FR","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"LMO2KHYXQ2FRF7Z4","created_at":"2026-07-05T05:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"LMO2KHYX","created_at":"2026-07-05T05:00:36Z"}],"graph_snapshots":[{"event_id":"sha256:44bba88561f2c3b2919b58738c1c0fef9779355dfd3e404ca5da6ab23ea1bb63","target":"graph","created_at":"2026-07-05T05:00:36Z","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/2102.10062/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Drug discovery and development is a complex and costly process. Machine learning approaches are being investigated to help improve the effectiveness and speed of multiple stages of the drug discovery pipeline. Of these, those that use Knowledge Graphs (KG) have promise in many tasks, including drug repurposing, drug toxicity prediction and target gene-disease prioritisation. In a drug discovery KG, crucial elements including genes, diseases and drugs are represented as entities, whilst relationships between them indicate an interaction. However, to construct high-quality KGs, suitable data is ","authors_text":"Andreas Bender, Charles Tapley Hoyt, Cheng Ye, Ian P Barrett, Ola Engkvist, Rowan Swiers, Stephen Bonner, William L Hamilton","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-02-19T17:49:38Z","title":"A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.10062","kind":"arxiv","version":4},"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":"sha256:5baebbd5fc23594390255dba710dc52175770ba1e29e6062ddcb1502200308ca","target":"record","created_at":"2026-07-05T05:00:36Z","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":"98cc45d15cf706d2178b11dad9b9bb52237b4660b0350e578cbef8a07048cb98","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2021-02-19T17:49:38Z","title_canon_sha256":"c2e62c1c61b1cbac6ca01a1584570136072228da1b2c371c1833c4aecd603bb5"},"schema_version":"1.0","source":{"id":"2102.10062","kind":"arxiv","version":4}},"canonical_sha256":"5b1da51f17868b12ff3c222a1d1a057867b96b6179e9e57cc9b6b5501f1f69ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b1da51f17868b12ff3c222a1d1a057867b96b6179e9e57cc9b6b5501f1f69ec","first_computed_at":"2026-07-05T05:00:36.123993Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:00:36.123993Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bN5Qw+cXFVjHJU05nVseHhiKNQdct0TuRiKUxZMDqqPiWWea45FmFSETOHo0AzeA5VQ3vW3f2aQ3R6NGabnnBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:00:36.124437Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.10062","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5baebbd5fc23594390255dba710dc52175770ba1e29e6062ddcb1502200308ca","sha256:44bba88561f2c3b2919b58738c1c0fef9779355dfd3e404ca5da6ab23ea1bb63"],"state_sha256":"8492c602119c02d7c00bced6f05b6e4a01571b88b963e6beab31a60b2ce17e9e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4AV7Wes7iB9v/QlgOs1b5vfIBII5gu1yNHHllkTNLKhSNeyvRzIUAavt1f7YKWhRL/XdufL8OWwCt2d8+g0tAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:09:50.721233Z","bundle_sha256":"2ecd07c4e01569fda2e988c8c62868076925c91acdf93f5a5eb1e44b31aa7187"}}