{"as_of":"2026-08-23T07:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:14f50e329d1de12a95e04878f803b5afa4c20d819eb5b710c304327bbce8aa80","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:14:20.602075Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-16T11:14:20.954235Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1804.10850","last_updated":"2018-04-28T22:14:29Z","snapshot_observed_at":"2026-08-14T19:20:53.458621Z","submitted_at":"2018-04-28T22:14:29Z","title":"Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders","version":1},"cited_work":{"arxiv_id":"1804.10850","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.10850","snapshot_observed_at":"2026-08-16T11:14:20.954235Z","title":"Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders","venue":"cs.LG","work_id":"07a29d79-87a4-4110-91aa-13a262da153b","year":2018},"citing_paper":{"arxiv_id":"2504.16360","last_updated":"2025-04-23T02:26:33Z","snapshot_observed_at":"2026-08-21T06:31:53.342225Z","submitted_at":"2025-04-23T02:26:33Z","title":"Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:14:20.602075Z"},"links":{"cited_paper":"/paper/1804.10850","citing_paper":"/paper/2504.16360"},"observation_digest":"sha256:a19be3b06958852730a0bd37ece2528ab83f7cc717ca28eaa02bd5e637260aef","observation_id":"64c5f8fa-204b-4d4a-8029-ab471cf3cb06","resolution":{"observed_at":"2026-08-16T11:14:20.960931Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.10850","last_updated":"2018-04-28T22:14:29Z","snapshot_observed_at":"2026-08-14T19:20:53.458621Z","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":"2026-08-13T01:24:23.905401Z","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":"sha256:13ccb1b4a9c7002bda8ec3b057c7b99e578f225e3dc2245533588ea35d0ed8f7","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":"2026-08-14T19:20:53.458621Z","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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1804.10850."}