{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:R67AHDR66SRQTAAYQU5QG662QK","short_pith_number":"pith:R67AHDR6","canonical_record":{"source":{"id":"2203.00836","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T03:09:50Z","cross_cats_sorted":["q-bio.BM"],"title_canon_sha256":"f4f8ced5fdafa56dfec38aed7b1a50ce5ee51fc4e35ef011e224b41157fe3839","abstract_canon_sha256":"6cb10585c418fca96a3b05d127f0912892893078e202200dec4bdf9c7fbaf8ff"},"schema_version":"1.0"},"canonical_sha256":"8fbe038e3ef4a3098018853b037bda82b530e51f39e35d805b54102f7c5d76f4","source":{"kind":"arxiv","id":"2203.00836","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.00836","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"arxiv_version","alias_value":"2203.00836v2","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.00836","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"pith_short_12","alias_value":"R67AHDR66SRQ","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"pith_short_16","alias_value":"R67AHDR66SRQTAAY","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"pith_short_8","alias_value":"R67AHDR6","created_at":"2026-07-05T04:50:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:R67AHDR66SRQTAAYQU5QG662QK","target":"record","payload":{"canonical_record":{"source":{"id":"2203.00836","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T03:09:50Z","cross_cats_sorted":["q-bio.BM"],"title_canon_sha256":"f4f8ced5fdafa56dfec38aed7b1a50ce5ee51fc4e35ef011e224b41157fe3839","abstract_canon_sha256":"6cb10585c418fca96a3b05d127f0912892893078e202200dec4bdf9c7fbaf8ff"},"schema_version":"1.0"},"canonical_sha256":"8fbe038e3ef4a3098018853b037bda82b530e51f39e35d805b54102f7c5d76f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:50:14.728670Z","signature_b64":"X25Xj/OAP6y/jzPekqfDvP5SdAHpRwK2mv531OeeSeocPgOsgY7fDhDAdt+ZeblFh3/kMcEKAHoZmu/bHt99Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8fbe038e3ef4a3098018853b037bda82b530e51f39e35d805b54102f7c5d76f4","last_reissued_at":"2026-07-05T04:50:14.728197Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:50:14.728197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.00836","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":"2026-07-05T04:50:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qcs2kmVJiUPf4XBVtwFK1/5dBvatWnAzMTnZL7kkeFcFF9c63xUIljuqoVQx41fjltqXLMYd0qZmxZikcLirCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T20:10:58.118726Z"},"content_sha256":"152f491949655e76b961668753fc827442ea34b3dd26b46253bb09a3c6b569d7","schema_version":"1.0","event_id":"sha256:152f491949655e76b961668753fc827442ea34b3dd26b46253bb09a3c6b569d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:R67AHDR66SRQTAAYQU5QG662QK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-bio.BM"],"primary_cat":"cs.LG","authors_text":"Fei Ma, Guotong Xie, Jun Wang, Peng Gao, Pengyong Li, Xianbin Ye, Yixuan Qiao, Ziliang Li, Zongbi Yi","submitted_at":"2022-03-02T03:09:50Z","abstract_excerpt":"Anti-cancer drug discoveries have been serendipitous, we sought to present the Open Molecular Graph Learning Benchmark, named CandidateDrug4Cancer, a challenging and realistic benchmark dataset to facilitate scalable, robust, and reproducible graph machine learning research for anti-cancer drug discovery. CandidateDrug4Cancer dataset encompasses multiple most-mentioned 29 targets for cancer, covering 54869 cancer-related drug molecules which are ranged from pre-clinical, clinical and FDA-approved. Besides building the datasets, we also perform benchmark experiments with effective Drug Target I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.00836","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/2203.00836/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":"2026-07-05T04:50:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mHTytuKwrJ51zZu6E9la2R/kSzqBMj4gEbqL00jqlcFYV/8krHj50qz1Dwochl9Th63eWhd2HtZsDOO4cwDGDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T20:10:58.119450Z"},"content_sha256":"2a85606bd95f0dacc002b4b04a7899b58d6dbe48f73c562bfa425800abaae2d9","schema_version":"1.0","event_id":"sha256:2a85606bd95f0dacc002b4b04a7899b58d6dbe48f73c562bfa425800abaae2d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R67AHDR66SRQTAAYQU5QG662QK/bundle.json","state_url":"https://pith.science/pith/R67AHDR66SRQTAAYQU5QG662QK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R67AHDR66SRQTAAYQU5QG662QK/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":"2026-08-18T20:10:58Z","links":{"resolver":"https://pith.science/pith/R67AHDR66SRQTAAYQU5QG662QK","bundle":"https://pith.science/pith/R67AHDR66SRQTAAYQU5QG662QK/bundle.json","state":"https://pith.science/pith/R67AHDR66SRQTAAYQU5QG662QK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R67AHDR66SRQTAAYQU5QG662QK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:R67AHDR66SRQTAAYQU5QG662QK","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":"6cb10585c418fca96a3b05d127f0912892893078e202200dec4bdf9c7fbaf8ff","cross_cats_sorted":["q-bio.BM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T03:09:50Z","title_canon_sha256":"f4f8ced5fdafa56dfec38aed7b1a50ce5ee51fc4e35ef011e224b41157fe3839"},"schema_version":"1.0","source":{"id":"2203.00836","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.00836","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"arxiv_version","alias_value":"2203.00836v2","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.00836","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"pith_short_12","alias_value":"R67AHDR66SRQ","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"pith_short_16","alias_value":"R67AHDR66SRQTAAY","created_at":"2026-07-05T04:50:14Z"},{"alias_kind":"pith_short_8","alias_value":"R67AHDR6","created_at":"2026-07-05T04:50:14Z"}],"graph_snapshots":[{"event_id":"sha256:2a85606bd95f0dacc002b4b04a7899b58d6dbe48f73c562bfa425800abaae2d9","target":"graph","created_at":"2026-07-05T04:50:14Z","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/2203.00836/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anti-cancer drug discoveries have been serendipitous, we sought to present the Open Molecular Graph Learning Benchmark, named CandidateDrug4Cancer, a challenging and realistic benchmark dataset to facilitate scalable, robust, and reproducible graph machine learning research for anti-cancer drug discovery. CandidateDrug4Cancer dataset encompasses multiple most-mentioned 29 targets for cancer, covering 54869 cancer-related drug molecules which are ranged from pre-clinical, clinical and FDA-approved. Besides building the datasets, we also perform benchmark experiments with effective Drug Target I","authors_text":"Fei Ma, Guotong Xie, Jun Wang, Peng Gao, Pengyong Li, Xianbin Ye, Yixuan Qiao, Ziliang Li, Zongbi Yi","cross_cats":["q-bio.BM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T03:09:50Z","title":"CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.00836","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":"sha256:152f491949655e76b961668753fc827442ea34b3dd26b46253bb09a3c6b569d7","target":"record","created_at":"2026-07-05T04:50:14Z","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":"6cb10585c418fca96a3b05d127f0912892893078e202200dec4bdf9c7fbaf8ff","cross_cats_sorted":["q-bio.BM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-02T03:09:50Z","title_canon_sha256":"f4f8ced5fdafa56dfec38aed7b1a50ce5ee51fc4e35ef011e224b41157fe3839"},"schema_version":"1.0","source":{"id":"2203.00836","kind":"arxiv","version":2}},"canonical_sha256":"8fbe038e3ef4a3098018853b037bda82b530e51f39e35d805b54102f7c5d76f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8fbe038e3ef4a3098018853b037bda82b530e51f39e35d805b54102f7c5d76f4","first_computed_at":"2026-07-05T04:50:14.728197Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:50:14.728197Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X25Xj/OAP6y/jzPekqfDvP5SdAHpRwK2mv531OeeSeocPgOsgY7fDhDAdt+ZeblFh3/kMcEKAHoZmu/bHt99Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:50:14.728670Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.00836","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:152f491949655e76b961668753fc827442ea34b3dd26b46253bb09a3c6b569d7","sha256:2a85606bd95f0dacc002b4b04a7899b58d6dbe48f73c562bfa425800abaae2d9"],"state_sha256":"be77e6a19f32ac070f19483afaef6b9a32a13c560af0045a96ee93720d58426b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wZeEvhc+e0NZu6YR4U1KvEsAbAolQhCbYy4sP3b1M9ne7FF+fl2eSqbknwBcilrLP9m+ovJZLY+jsAzXzP3PDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T20:10:58.126528Z","bundle_sha256":"91733aa9acebbcff4f1add7dbfe038079de09dadcf04031d4d3a6b2b85f12f0b"}}