{"as_of":"2026-08-16T22:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5632a898729d0a7d702a09118f8d76949577b8f2d3c6c950fe6b1ef92af25573","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":"2026-08-16T06:30:59.297886+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":"2026-08-09T17:31:23.559802Z","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":"2026-08-09T17:31:23.727595Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.00202","last_updated":"2021-09-28T13:26:45Z","snapshot_observed_at":"2026-08-14T19:49:58.399202Z","submitted_at":"2018-02-01T09:18:28Z","title":"Network construction: A learning framework through localizing principal eigenvector","version":2},"cited_work":{"arxiv_id":"1802.00202","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.00202","snapshot_observed_at":"2026-08-09T17:31:23.727595Z","title":"Network construction: A learning framework through localizing principal eigenvector","venue":"physics.soc-ph","work_id":"710f13c6-a857-4be2-b326-ce6015d78992","year":2018},"citing_paper":{"arxiv_id":"2502.01693","last_updated":"2025-09-08T03:35:37Z","snapshot_observed_at":"2026-08-16T10:35:14.234843Z","submitted_at":"2025-02-02T17:29:10Z","title":"Predicting Steady-State Behavior in Complex Networks with Graph Neural Networks","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T17:31:23.559802Z"},"links":{"cited_paper":"/paper/1802.00202","citing_paper":"/paper/2502.01693"},"observation_digest":"sha256:09b3b4846e32646433685679fdbfb41aff43d61b81c1b5a1682709bfdcfc05cc","observation_id":"66b15de3-0787-47b0-9b18-d5f803df84d6","resolution":{"observed_at":"2026-08-09T17:31:23.732306Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1802.00202/citation-record","integrity":"/paper/1802.00202/integrity","json":"/paper/1802.00202/citation-record.json","paper":"/paper/1802.00202"},"outbound":[],"paper":{"arxiv_id":"1802.00202","last_updated":"2021-09-28T13:26:45Z","latest_version":2,"primary_category":"physics.soc-ph","snapshot_observed_at":"2026-08-14T19:49:58.399202Z","submitted_at":"2018-02-01T09:18:28Z","title":"Network construction: A learning framework through localizing principal eigenvector"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1802.00202."}