{"as_of":"2026-08-10T09:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8691cbb1e25b78423912df27de5660022368fa7ea7b0b86637dede229393c996","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T06:03:24.750538Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1804.10850","last_updated":"2018-04-28T22:14:29Z","snapshot_observed_at":"2026-08-05T20:49:23.357657Z","submitted_at":"2018-04-28T22:14:29Z","title":"Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.10850","snapshot_observed_at":"2026-07-12T06:03:24.750538Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.02928","last_updated":"2026-07-03T03:52:33Z","snapshot_observed_at":"2026-07-12T06:03:24.392647Z","submitted_at":"2026-07-03T03:52:33Z","title":"CoFEND: A Cross-Modal Fusion End-to-End Network for Cold-Start Drug-Drug Interaction Prediction","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-12T06:03:24.750538Z"},"links":{"cited_paper":"/paper/1804.10850","citing_paper":"/paper/2607.02928"},"observation_digest":"sha256:d7f99faddfb9c52bb571594167da5a8fed3b67b277202d6776ef33937bb0371d","observation_id":"36f6798b-13a2-439b-93bb-0e546a4197aa","resolution":{"observed_at":"2026-07-12T06:03:24.750538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1804.10850/citation-record","integrity":"/paper/1804.10850/integrity","json":"/paper/1804.10850/citation-record.json","paper":"/paper/1804.10850"},"outbound":[],"paper":{"arxiv_id":"1804.10850","last_updated":"2018-04-28T22:14:29Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T20:49:23.357657Z","submitted_at":"2018-04-28T22:14:29Z","title":"Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1804.10850."}