{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DCT624GPF6DPPBGJZG4H7EOC2O","short_pith_number":"pith:DCT624GP","canonical_record":{"source":{"id":"2407.16715","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2024-07-23T03:25:55Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"115f73ffc32c0e624f61adc564c8ffb9b41970302e368237ec6f5e1ad74df572","abstract_canon_sha256":"cd00671a4f2f8e1908d2f8c2624c462d8f0703faaa56b53be9023ca5f06a1c04"},"schema_version":"1.0"},"canonical_sha256":"18a7ed70cf2f86f784c9c9b87f91c2d39ffe016dd5b601d0d7586260723741a7","source":{"kind":"arxiv","id":"2407.16715","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.16715","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"arxiv_version","alias_value":"2407.16715v2","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.16715","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"pith_short_12","alias_value":"DCT624GPF6DP","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"pith_short_16","alias_value":"DCT624GPF6DPPBGJ","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"pith_short_8","alias_value":"DCT624GP","created_at":"2026-07-05T08:49:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DCT624GPF6DPPBGJZG4H7EOC2O","target":"record","payload":{"canonical_record":{"source":{"id":"2407.16715","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2024-07-23T03:25:55Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"115f73ffc32c0e624f61adc564c8ffb9b41970302e368237ec6f5e1ad74df572","abstract_canon_sha256":"cd00671a4f2f8e1908d2f8c2624c462d8f0703faaa56b53be9023ca5f06a1c04"},"schema_version":"1.0"},"canonical_sha256":"18a7ed70cf2f86f784c9c9b87f91c2d39ffe016dd5b601d0d7586260723741a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:49:10.891747Z","signature_b64":"65KdQE09HAYc6rfVYpN129Nty1TplFtzGx/ImsPUzJpR+7YgHd6uWH8m29EYK+NduySUCIfgTCfMvwKS46IPCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18a7ed70cf2f86f784c9c9b87f91c2d39ffe016dd5b601d0d7586260723741a7","last_reissued_at":"2026-07-05T08:49:10.891296Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:49:10.891296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.16715","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":"2026-07-05T08:49:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"23HnNHqEhyF1Z2TSFqyyIonezxZNSRY54gnzYWcI6aCtiC3L54JfzAosbGBwadeoFUUqrO/oCWwnRtOKEGWaDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T07:51:12.341373Z"},"content_sha256":"0c0478bd8effeb9f8f17c42cab041a38eae1a89206ea10570b0b4b1fbc0fec97","schema_version":"1.0","event_id":"sha256:0c0478bd8effeb9f8f17c42cab041a38eae1a89206ea10570b0b4b1fbc0fec97"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DCT624GPF6DPPBGJZG4H7EOC2O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"q-bio.QM","authors_text":"Bo Dang, Min Gao, Mingxuan Xiao, Weimin Wang, Wenchao Zhao, Xu Yan, Yufeng Li","submitted_at":"2024-07-23T03:25:55Z","abstract_excerpt":"In clinical treatment, identifying potential adverse reactions of drugs can help assist doctors in making medication decisions. In response to the problems in previous studies that features are high-dimensional and sparse, independent prediction models need to be constructed for each adverse reaction of drugs, and the prediction accuracy is low, this paper develops an adverse drug reaction prediction model based on knowledge graph embedding and deep learning, which can predict experimental results. Unified prediction of adverse drug reactions covered. Knowledge graph embedding technology can f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.16715","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/2407.16715/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":"2026-07-05T08:49:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wq6VjelmSb6RTWFXpX0rZv+1MdaLSJiVsROqacXUO2bSe/tAj4proNSQl62POAijeP4gI8QRKulmHoSXUrW+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T07:51:12.341766Z"},"content_sha256":"7a092f590e56a9eb80f1b80c55827158e327f038802a1b0c4a050f36777e59b7","schema_version":"1.0","event_id":"sha256:7a092f590e56a9eb80f1b80c55827158e327f038802a1b0c4a050f36777e59b7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DCT624GPF6DPPBGJZG4H7EOC2O/bundle.json","state_url":"https://pith.science/pith/DCT624GPF6DPPBGJZG4H7EOC2O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DCT624GPF6DPPBGJZG4H7EOC2O/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":"2026-07-26T07:51:12Z","links":{"resolver":"https://pith.science/pith/DCT624GPF6DPPBGJZG4H7EOC2O","bundle":"https://pith.science/pith/DCT624GPF6DPPBGJZG4H7EOC2O/bundle.json","state":"https://pith.science/pith/DCT624GPF6DPPBGJZG4H7EOC2O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DCT624GPF6DPPBGJZG4H7EOC2O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DCT624GPF6DPPBGJZG4H7EOC2O","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":"cd00671a4f2f8e1908d2f8c2624c462d8f0703faaa56b53be9023ca5f06a1c04","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2024-07-23T03:25:55Z","title_canon_sha256":"115f73ffc32c0e624f61adc564c8ffb9b41970302e368237ec6f5e1ad74df572"},"schema_version":"1.0","source":{"id":"2407.16715","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.16715","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"arxiv_version","alias_value":"2407.16715v2","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.16715","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"pith_short_12","alias_value":"DCT624GPF6DP","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"pith_short_16","alias_value":"DCT624GPF6DPPBGJ","created_at":"2026-07-05T08:49:10Z"},{"alias_kind":"pith_short_8","alias_value":"DCT624GP","created_at":"2026-07-05T08:49:10Z"}],"graph_snapshots":[{"event_id":"sha256:7a092f590e56a9eb80f1b80c55827158e327f038802a1b0c4a050f36777e59b7","target":"graph","created_at":"2026-07-05T08:49:10Z","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/2407.16715/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In clinical treatment, identifying potential adverse reactions of drugs can help assist doctors in making medication decisions. In response to the problems in previous studies that features are high-dimensional and sparse, independent prediction models need to be constructed for each adverse reaction of drugs, and the prediction accuracy is low, this paper develops an adverse drug reaction prediction model based on knowledge graph embedding and deep learning, which can predict experimental results. Unified prediction of adverse drug reactions covered. Knowledge graph embedding technology can f","authors_text":"Bo Dang, Min Gao, Mingxuan Xiao, Weimin Wang, Wenchao Zhao, Xu Yan, Yufeng Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2024-07-23T03:25:55Z","title":"Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.16715","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":"sha256:0c0478bd8effeb9f8f17c42cab041a38eae1a89206ea10570b0b4b1fbc0fec97","target":"record","created_at":"2026-07-05T08:49:10Z","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":"cd00671a4f2f8e1908d2f8c2624c462d8f0703faaa56b53be9023ca5f06a1c04","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2024-07-23T03:25:55Z","title_canon_sha256":"115f73ffc32c0e624f61adc564c8ffb9b41970302e368237ec6f5e1ad74df572"},"schema_version":"1.0","source":{"id":"2407.16715","kind":"arxiv","version":2}},"canonical_sha256":"18a7ed70cf2f86f784c9c9b87f91c2d39ffe016dd5b601d0d7586260723741a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18a7ed70cf2f86f784c9c9b87f91c2d39ffe016dd5b601d0d7586260723741a7","first_computed_at":"2026-07-05T08:49:10.891296Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:49:10.891296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"65KdQE09HAYc6rfVYpN129Nty1TplFtzGx/ImsPUzJpR+7YgHd6uWH8m29EYK+NduySUCIfgTCfMvwKS46IPCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:49:10.891747Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.16715","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c0478bd8effeb9f8f17c42cab041a38eae1a89206ea10570b0b4b1fbc0fec97","sha256:7a092f590e56a9eb80f1b80c55827158e327f038802a1b0c4a050f36777e59b7"],"state_sha256":"e9c3b6dd3c3115ba3b42c3f97db6e0ce38cfe07b0ee49e590984e43b97ea1619"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JABPx7Ls4w1qK36rIjVRHFCiB6l0/DIKmI2yk4OndC/NDeqpM/ykS7RcyeLjA1eAXJFCkk3qFHJFXBHVJybPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T07:51:12.344283Z","bundle_sha256":"54e5817bebae40efb1db677b104a0a0f4bde28a7fbde8ac42ea2756b2183e49b"}}