{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:SMVZE4K3NG6VRSHTMMJF75J3EF","short_pith_number":"pith:SMVZE4K3","canonical_record":{"source":{"id":"2111.02916","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-04T14:48:48Z","cross_cats_sorted":["cs.AI","cs.SI"],"title_canon_sha256":"82ab8244c83230cbce3e63c43ed5a083da0a06e2ff699130c38025b3978f89dd","abstract_canon_sha256":"0baa39f19c1b2592ab1e1911c77758a1991689f7a2754e3a3f23cbbed5eb42c3"},"schema_version":"1.0"},"canonical_sha256":"932b92715b69bd58c8f363125ff53b21420cbfc7ad80313fe27d8f5b30288398","source":{"kind":"arxiv","id":"2111.02916","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.02916","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"arxiv_version","alias_value":"2111.02916v4","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.02916","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"pith_short_12","alias_value":"SMVZE4K3NG6V","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"pith_short_16","alias_value":"SMVZE4K3NG6VRSHT","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"pith_short_8","alias_value":"SMVZE4K3","created_at":"2026-07-05T03:40:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:SMVZE4K3NG6VRSHTMMJF75J3EF","target":"record","payload":{"canonical_record":{"source":{"id":"2111.02916","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-04T14:48:48Z","cross_cats_sorted":["cs.AI","cs.SI"],"title_canon_sha256":"82ab8244c83230cbce3e63c43ed5a083da0a06e2ff699130c38025b3978f89dd","abstract_canon_sha256":"0baa39f19c1b2592ab1e1911c77758a1991689f7a2754e3a3f23cbbed5eb42c3"},"schema_version":"1.0"},"canonical_sha256":"932b92715b69bd58c8f363125ff53b21420cbfc7ad80313fe27d8f5b30288398","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:40:03.994965Z","signature_b64":"+o7ED+KidbhDv6rfnk18pImSbo5z21MQyKO049F5ODqOC1ZZ5MLi3CsJwzJywciqCVuOkzrupxefu55SSu3WBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"932b92715b69bd58c8f363125ff53b21420cbfc7ad80313fe27d8f5b30288398","last_reissued_at":"2026-07-05T03:40:03.994605Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:40:03.994605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.02916","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":"2026-07-05T03:40:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NWLjCCmlHTB887Yz07QH67BtjSxfK6OEauskGqdRDV8b91Uu+bIdxoKN+xQP8ekV9mL+bTBB7AYVMC6t2KvVAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T15:12:56.985276Z"},"content_sha256":"f2a624adaaf4d55af93733157fc06012bf059c089df07f4744c491b32aeefccf","schema_version":"1.0","event_id":"sha256:f2a624adaaf4d55af93733157fc06012bf059c089df07f4744c491b32aeefccf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:SMVZE4K3NG6VRSHTMMJF75J3EF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Unified View of Relational Deep Learning for Drug Pair Scoring","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.SI"],"primary_cat":"cs.LG","authors_text":"Andriy Nikolov, Benedek Rozemberczki, Eliseo Papa, Michael Ughetto, Sebastian Nilsson, Stephen Bonner","submitted_at":"2021-11-04T14:48:48Z","abstract_excerpt":"In recent years, numerous machine learning models which attempt to solve polypharmacy side effect identification, drug-drug interaction prediction and combination therapy design tasks have been proposed. Here, we present a unified theoretical view of relational machine learning models which can address these tasks. We provide fundamental definitions, compare existing model architectures and discuss performance metrics, datasets and evaluation protocols. In addition, we emphasize possible high impact applications and important future research directions in this domain."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.02916","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/2111.02916/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":"2026-07-05T03:40:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ICUAsTDW9IYnzrJdpUnpIQpFJ5Pky91imQ7rvANAPElit24Vq36+tOfT7fwjZAvcza1ij1CegjiPm4PnH4jhDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T15:12:56.986359Z"},"content_sha256":"4e5ce2da5591d87b9fcf8b9afe2265d6feb477ea6dbd6e79bdf2e5ac0dfa3247","schema_version":"1.0","event_id":"sha256:4e5ce2da5591d87b9fcf8b9afe2265d6feb477ea6dbd6e79bdf2e5ac0dfa3247"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SMVZE4K3NG6VRSHTMMJF75J3EF/bundle.json","state_url":"https://pith.science/pith/SMVZE4K3NG6VRSHTMMJF75J3EF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SMVZE4K3NG6VRSHTMMJF75J3EF/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":"2026-08-21T15:12:56Z","links":{"resolver":"https://pith.science/pith/SMVZE4K3NG6VRSHTMMJF75J3EF","bundle":"https://pith.science/pith/SMVZE4K3NG6VRSHTMMJF75J3EF/bundle.json","state":"https://pith.science/pith/SMVZE4K3NG6VRSHTMMJF75J3EF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SMVZE4K3NG6VRSHTMMJF75J3EF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:SMVZE4K3NG6VRSHTMMJF75J3EF","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":"0baa39f19c1b2592ab1e1911c77758a1991689f7a2754e3a3f23cbbed5eb42c3","cross_cats_sorted":["cs.AI","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-04T14:48:48Z","title_canon_sha256":"82ab8244c83230cbce3e63c43ed5a083da0a06e2ff699130c38025b3978f89dd"},"schema_version":"1.0","source":{"id":"2111.02916","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.02916","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"arxiv_version","alias_value":"2111.02916v4","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.02916","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"pith_short_12","alias_value":"SMVZE4K3NG6V","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"pith_short_16","alias_value":"SMVZE4K3NG6VRSHT","created_at":"2026-07-05T03:40:03Z"},{"alias_kind":"pith_short_8","alias_value":"SMVZE4K3","created_at":"2026-07-05T03:40:03Z"}],"graph_snapshots":[{"event_id":"sha256:4e5ce2da5591d87b9fcf8b9afe2265d6feb477ea6dbd6e79bdf2e5ac0dfa3247","target":"graph","created_at":"2026-07-05T03:40:03Z","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/2111.02916/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, numerous machine learning models which attempt to solve polypharmacy side effect identification, drug-drug interaction prediction and combination therapy design tasks have been proposed. Here, we present a unified theoretical view of relational machine learning models which can address these tasks. We provide fundamental definitions, compare existing model architectures and discuss performance metrics, datasets and evaluation protocols. In addition, we emphasize possible high impact applications and important future research directions in this domain.","authors_text":"Andriy Nikolov, Benedek Rozemberczki, Eliseo Papa, Michael Ughetto, Sebastian Nilsson, Stephen Bonner","cross_cats":["cs.AI","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-04T14:48:48Z","title":"A Unified View of Relational Deep Learning for Drug Pair Scoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.02916","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:f2a624adaaf4d55af93733157fc06012bf059c089df07f4744c491b32aeefccf","target":"record","created_at":"2026-07-05T03:40:03Z","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":"0baa39f19c1b2592ab1e1911c77758a1991689f7a2754e3a3f23cbbed5eb42c3","cross_cats_sorted":["cs.AI","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-04T14:48:48Z","title_canon_sha256":"82ab8244c83230cbce3e63c43ed5a083da0a06e2ff699130c38025b3978f89dd"},"schema_version":"1.0","source":{"id":"2111.02916","kind":"arxiv","version":4}},"canonical_sha256":"932b92715b69bd58c8f363125ff53b21420cbfc7ad80313fe27d8f5b30288398","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"932b92715b69bd58c8f363125ff53b21420cbfc7ad80313fe27d8f5b30288398","first_computed_at":"2026-07-05T03:40:03.994605Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:40:03.994605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+o7ED+KidbhDv6rfnk18pImSbo5z21MQyKO049F5ODqOC1ZZ5MLi3CsJwzJywciqCVuOkzrupxefu55SSu3WBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:40:03.994965Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.02916","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2a624adaaf4d55af93733157fc06012bf059c089df07f4744c491b32aeefccf","sha256:4e5ce2da5591d87b9fcf8b9afe2265d6feb477ea6dbd6e79bdf2e5ac0dfa3247"],"state_sha256":"8b7fe7c40ffd10bdea22b24f95f26ca59bb4d9474a9c3dfc62c7a5a58a8b62ea"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LG9ibzP87XnV7roo0nEd+L2dbMoGo85VIH8gjtiNuYS7GRgTNVid+v2Wmd3B7pRMZIoqcs81NQYa+LRm0BQQDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T15:12:56.997982Z","bundle_sha256":"bc3a28c595a781301d2b11fc8c761dfb75cca3ed476f090bf6c7724c9e51fefa"}}