{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:CWTC35YDDHD5XMWM7JZKJSR2PU","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":"fba7f5b76f3f0fc497b1fa0b0cbe03b41cbf25be68deb8e2318d4e0b7ad4dfba","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-10T14:32:42Z","title_canon_sha256":"c8df696b96306f3f57e9f31cb3011f67728bfeaa06da7c817a1dddf889250ad9"},"schema_version":"1.0","source":{"id":"2111.05708","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.05708","created_at":"2026-07-05T03:37:47Z"},{"alias_kind":"arxiv_version","alias_value":"2111.05708v2","created_at":"2026-07-05T03:37:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.05708","created_at":"2026-07-05T03:37:47Z"},{"alias_kind":"pith_short_12","alias_value":"CWTC35YDDHD5","created_at":"2026-07-05T03:37:47Z"},{"alias_kind":"pith_short_16","alias_value":"CWTC35YDDHD5XMWM","created_at":"2026-07-05T03:37:47Z"},{"alias_kind":"pith_short_8","alias_value":"CWTC35YD","created_at":"2026-07-05T03:37:47Z"}],"graph_snapshots":[{"event_id":"sha256:f44ff1353fcbae5789185664c0c59bf88b192af8e03c97d88b487f9470d5fea6","target":"graph","created_at":"2026-07-05T03:37:47Z","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/2111.05708/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Motivation: Computational prediction of multiple-type drug-drug interaction (DDI) helps reduce unexpected side effects in poly-drug treatments. Although existing computational approaches achieve inspiring results, they ignore that the action of a drug is mainly caused by its chemical substructures. In addition, their interpretability is still weak. Results: In this paper, by supposing that the interactions between two given drugs are caused by their local chemical structures (sub-structures) and their DDI types are determined by the linkages between different substructure sets, we design a nov","authors_text":"Hui Yu, JianYu Shi, Shiyu Zhao","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-10T14:32:42Z","title":"STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.05708","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":"sha256:062eaa55f1bd87ad5fe8aacd1d8fafcae42c2391b4a563a2bca0fee52dd514a7","target":"record","created_at":"2026-07-05T03:37:47Z","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":"fba7f5b76f3f0fc497b1fa0b0cbe03b41cbf25be68deb8e2318d4e0b7ad4dfba","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-11-10T14:32:42Z","title_canon_sha256":"c8df696b96306f3f57e9f31cb3011f67728bfeaa06da7c817a1dddf889250ad9"},"schema_version":"1.0","source":{"id":"2111.05708","kind":"arxiv","version":2}},"canonical_sha256":"15a62df70319c7dbb2ccfa72a4ca3a7d1d0d0ab9aa954c11a595cffd4b4e5947","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15a62df70319c7dbb2ccfa72a4ca3a7d1d0d0ab9aa954c11a595cffd4b4e5947","first_computed_at":"2026-07-05T03:37:47.747990Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:37:47.747990Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cwVN00nhqlxD8J+RK0+5lXnBM/K2b1ZavcaNZ9JdTxBaf0P1gSUrzSCKFQcK9uzwp6pDlffmnO7y84WIGB81Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:37:47.748441Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.05708","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:062eaa55f1bd87ad5fe8aacd1d8fafcae42c2391b4a563a2bca0fee52dd514a7","sha256:f44ff1353fcbae5789185664c0c59bf88b192af8e03c97d88b487f9470d5fea6"],"state_sha256":"8e6a7fab9361c06462f5a20d124de68172a1b2b7cae2ad24bfa634b59efb850a"}