{"as_of":"2026-08-23T01:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8226e9ce13c07310e61d92588fd69b12053cd70d7f0b7c3d77076f7ac03855c8","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":"2026-08-22T06:32:14.747728+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":"2026-05-09T20:52:49.813619Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T14:56:05.540209Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.03466","last_updated":"2022-01-17T20:35:55Z","snapshot_observed_at":"2026-08-16T18:33:08.802576Z","submitted_at":"2021-04-08T01:45:28Z","title":"Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT","version":3},"cited_work":{"arxiv_id":"2104.03466","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2104.03466","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning graph structures with transformer for multivariate time series anomaly detection in IoT","venue":null,"work_id":"7716dfab-49d7-46e5-96dc-4a476d297fc0","year":2021},"citing_paper":{"arxiv_id":"2605.00929","last_updated":"2026-04-30T19:59:30Z","snapshot_observed_at":"2026-08-11T02:18:39.893956Z","submitted_at":"2026-04-30T19:59:30Z","title":"PhaseNet++: Phase-Aware Frequency-Domain Anomaly Detection for Industrial Control Systems via Phase Coherence Graphs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-09T20:52:49.813619Z"},"links":{"cited_paper":"/paper/2104.03466","citing_paper":"/paper/2605.00929"},"observation_digest":"sha256:270eb2ed98ca64b7e822d0638d43dc461f58bfbc7704421eec0283c84c0a9a0d","observation_id":"479b002a-71d5-4794-be4d-a255814af40c","resolution":{"observed_at":"2026-05-11T14:56:05.544026Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2104.03466/citation-record","integrity":"/paper/2104.03466/integrity","json":"/paper/2104.03466/citation-record.json","paper":"/paper/2104.03466"},"outbound":[],"paper":{"arxiv_id":"2104.03466","last_updated":"2022-01-17T20:35:55Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T18:33:08.802576Z","submitted_at":"2021-04-08T01:45:28Z","title":"Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2104.03466."}