{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SI6O6ZVKSNWGGU3SKXFSV667E4","short_pith_number":"pith:SI6O6ZVK","canonical_record":{"source":{"id":"2607.02928","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-03T03:52:33Z","cross_cats_sorted":[],"title_canon_sha256":"d37a2d12eb86ff8df8bd2382b39d00285d516311e1d0530ceb37b674e6dfa62a","abstract_canon_sha256":"ddc32c452a9e94e7bf14ff180c9bf64fa013cd46054f6a0f94ae72704ab4de01"},"schema_version":"1.0"},"canonical_sha256":"923cef66aa936c63537255cb2afbdf2724187895e0cc8312ba7256ceb6812c87","source":{"kind":"arxiv","id":"2607.02928","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02928","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02928v1","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02928","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"pith_short_12","alias_value":"SI6O6ZVKSNWG","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"pith_short_16","alias_value":"SI6O6ZVKSNWGGU3S","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"pith_short_8","alias_value":"SI6O6ZVK","created_at":"2026-07-07T01:16:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SI6O6ZVKSNWGGU3SKXFSV667E4","target":"record","payload":{"canonical_record":{"source":{"id":"2607.02928","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-03T03:52:33Z","cross_cats_sorted":[],"title_canon_sha256":"d37a2d12eb86ff8df8bd2382b39d00285d516311e1d0530ceb37b674e6dfa62a","abstract_canon_sha256":"ddc32c452a9e94e7bf14ff180c9bf64fa013cd46054f6a0f94ae72704ab4de01"},"schema_version":"1.0"},"canonical_sha256":"923cef66aa936c63537255cb2afbdf2724187895e0cc8312ba7256ceb6812c87","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T01:16:36.818154Z","signature_b64":"rbBNISH2eNateo3ZXGmyRW+D+M7HTwDeV2RINw+45gROqr/3NiP+Pc4uXsJT627LXYyQJ7gMwAsqIAKhYjEBDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"923cef66aa936c63537255cb2afbdf2724187895e0cc8312ba7256ceb6812c87","last_reissued_at":"2026-07-07T01:16:36.817715Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T01:16:36.817715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.02928","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-07T01:16:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dVMJa0UIc+TnhehqWiw+n0R/HgHZTGWDlviai3zM9b71BM8A9sP+UqicxMXurthEeabiVtgn3kqK4O2chbtRCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:53:18.031713Z"},"content_sha256":"9affc45d3a7f5e85ac5d0a61bad015fbafe507fa073cc6bea886e21a2f6112d9","schema_version":"1.0","event_id":"sha256:9affc45d3a7f5e85ac5d0a61bad015fbafe507fa073cc6bea886e21a2f6112d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SI6O6ZVKSNWGGU3SKXFSV667E4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoFEND: A Cross-Modal Fusion End-to-End Network for Cold-Start Drug-Drug Interaction Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Di Wu, Haichao Xu, Hongyi Sun, Jia Chen, Jie Yang, Zhong Chen","submitted_at":"2026-07-03T03:52:33Z","abstract_excerpt":"Cold-start drug-drug interaction (DDI) prediction for new drugs is critical for minimizing unexpected adverse drug reactions. The key challenge is to capture similarity between new and known drugs. However, such similarity is closely associated with complex relationships and mechanisms among drugs, enzymes, transporters, molecular structures, and other biomedical entities. Existing methods have three limitations in capturing such similarity: (1) only partial relationships and mechanisms are considered, which overlooks cross-modal information and yields incomplete or biased similarity modeling;"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02928","kind":"arxiv","version":1},"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/2607.02928/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":"2026-07-07T01:16:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9XV2Rxn9yiutZlphRCnZCFr19EbajbpSJBOeA7F0YnDzFnKJrMWHDluFdyYpPucov0vvq/ZJBabt0Smt0uJVDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:53:18.032332Z"},"content_sha256":"538c7600835ab139c5354cce860d95cb7e06c977d872f9db87f11cd0f58c8142","schema_version":"1.0","event_id":"sha256:538c7600835ab139c5354cce860d95cb7e06c977d872f9db87f11cd0f58c8142"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:SI6O6ZVKSNWGGU3SKXFSV667E4","target":"integrity","payload":{"note":"Identifier '10.1016/j.inffus.2024.103574' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"Yi He, Tengfei Ma, Chen Li, et al. 2025. ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction.Information Fusion117 (2025), 103574. doi:10.1016/j.inffus.2024.103574","arxiv_id":"2607.02928","detector":"doi_compliance","evidence":{"doi":"10.1016/j.inffus.2024.103574","arxiv_id":null,"ref_index":27,"raw_excerpt":"Yi He, Tengfei Ma, Chen Li, et al. 2025. ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction.Information Fusion117 (2025), 103574. doi:10.1016/j.inffus.2024.103574","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"]},"severity":"critical","ref_index":27,"audited_at":"2026-07-12T06:11:25.746213Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.inffus.2024.103574","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"67c7d730c6a108e3f80cb1dcba592953151feb46496fdf6bae6b128bc16d3d09","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":12521,"payload_sha256":"b3a83c5d146eb8a126fa022391bfc3f06a65c65bb765b2f10f19107f2052301e","signature_b64":"0p2Q0rU9bGbqeXvfn1lg4t4VR6Ruk0mCZlf1OckZ9e5vHW+6XZ3Bne2E4+aEaeZzcqc4PHBPryluvRIhCdwnDw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-12T06:12:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dyqrsN9l/LE+PQpEBhpKXXIDwL3q8d0c53NdpWYvnWwobE3o4Xa417v20K3rl+cRcZXq54K6Jj8AllfT/dGcBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:53:18.036866Z"},"content_sha256":"4d6df14bbbbe8ffdbcce8d5cdc045f2c5c5d149b8f14ef7ce223c7954da93e62","schema_version":"1.0","event_id":"sha256:4d6df14bbbbe8ffdbcce8d5cdc045f2c5c5d149b8f14ef7ce223c7954da93e62"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SI6O6ZVKSNWGGU3SKXFSV667E4/bundle.json","state_url":"https://pith.science/pith/SI6O6ZVKSNWGGU3SKXFSV667E4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SI6O6ZVKSNWGGU3SKXFSV667E4/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":"2026-08-09T19:53:18Z","links":{"resolver":"https://pith.science/pith/SI6O6ZVKSNWGGU3SKXFSV667E4","bundle":"https://pith.science/pith/SI6O6ZVKSNWGGU3SKXFSV667E4/bundle.json","state":"https://pith.science/pith/SI6O6ZVKSNWGGU3SKXFSV667E4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SI6O6ZVKSNWGGU3SKXFSV667E4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SI6O6ZVKSNWGGU3SKXFSV667E4","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ddc32c452a9e94e7bf14ff180c9bf64fa013cd46054f6a0f94ae72704ab4de01","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-03T03:52:33Z","title_canon_sha256":"d37a2d12eb86ff8df8bd2382b39d00285d516311e1d0530ceb37b674e6dfa62a"},"schema_version":"1.0","source":{"id":"2607.02928","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02928","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02928v1","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02928","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"pith_short_12","alias_value":"SI6O6ZVKSNWG","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"pith_short_16","alias_value":"SI6O6ZVKSNWGGU3S","created_at":"2026-07-07T01:16:36Z"},{"alias_kind":"pith_short_8","alias_value":"SI6O6ZVK","created_at":"2026-07-07T01:16:36Z"}],"graph_snapshots":[{"event_id":"sha256:538c7600835ab139c5354cce860d95cb7e06c977d872f9db87f11cd0f58c8142","target":"graph","created_at":"2026-07-07T01:16:36Z","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/2607.02928/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cold-start drug-drug interaction (DDI) prediction for new drugs is critical for minimizing unexpected adverse drug reactions. The key challenge is to capture similarity between new and known drugs. However, such similarity is closely associated with complex relationships and mechanisms among drugs, enzymes, transporters, molecular structures, and other biomedical entities. Existing methods have three limitations in capturing such similarity: (1) only partial relationships and mechanisms are considered, which overlooks cross-modal information and yields incomplete or biased similarity modeling;","authors_text":"Di Wu, Haichao Xu, Hongyi Sun, Jia Chen, Jie Yang, Zhong Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-03T03:52:33Z","title":"CoFEND: A Cross-Modal Fusion End-to-End Network for Cold-Start Drug-Drug Interaction Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02928","kind":"arxiv","version":1},"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":"sha256:9affc45d3a7f5e85ac5d0a61bad015fbafe507fa073cc6bea886e21a2f6112d9","target":"record","created_at":"2026-07-07T01:16:36Z","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":"ddc32c452a9e94e7bf14ff180c9bf64fa013cd46054f6a0f94ae72704ab4de01","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-03T03:52:33Z","title_canon_sha256":"d37a2d12eb86ff8df8bd2382b39d00285d516311e1d0530ceb37b674e6dfa62a"},"schema_version":"1.0","source":{"id":"2607.02928","kind":"arxiv","version":1}},"canonical_sha256":"923cef66aa936c63537255cb2afbdf2724187895e0cc8312ba7256ceb6812c87","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"923cef66aa936c63537255cb2afbdf2724187895e0cc8312ba7256ceb6812c87","first_computed_at":"2026-07-07T01:16:36.817715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T01:16:36.817715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rbBNISH2eNateo3ZXGmyRW+D+M7HTwDeV2RINw+45gROqr/3NiP+Pc4uXsJT627LXYyQJ7gMwAsqIAKhYjEBDQ==","signature_status":"signed_v1","signed_at":"2026-07-07T01:16:36.818154Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02928","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9affc45d3a7f5e85ac5d0a61bad015fbafe507fa073cc6bea886e21a2f6112d9","sha256:538c7600835ab139c5354cce860d95cb7e06c977d872f9db87f11cd0f58c8142","sha256:4d6df14bbbbe8ffdbcce8d5cdc045f2c5c5d149b8f14ef7ce223c7954da93e62"],"state_sha256":"2c3c9d46ebfd83534ff522d6158aaed23ec93b4117145dea24d1f0340ca0dec4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ihwHgItsf3xsPKqL6qwnbFmyGBqXzYsgy+SdIezCcGAun9E1G3NPXCedz4PfOTIUVMUhCNOH4/8RK5UPXEneBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T19:53:18.039373Z","bundle_sha256":"dba7787b99be5607a0eb09c99bfff8584b3567e670573424123805fc1f12d477"}}