{"as_of":"2026-08-09T16:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:851c5e89a6836edd48f06c00bbc0afb571c47bbcc6f8a4121d32496457c1f85b","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T18:46:34.453202Z","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":"2026-08-08T18:46:34.910109Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2102.01934","last_updated":"2022-09-03T10:08:39Z","snapshot_observed_at":"2026-08-09T12:08:30.831226Z","submitted_at":"2021-02-03T08:34:53Z","title":"Noise-robust classification with hypergraph neural network","version":3},"cited_work":{"arxiv_id":"2102.01934","doi":null,"metadata_source":"pith","pith_arxiv_id":"2102.01934","snapshot_observed_at":"2026-08-08T18:46:34.910109Z","title":"Noise-robust classification with hypergraph neural network","venue":"stat.ML","work_id":"ce57dfe9-b439-450d-ae27-61b886c9a3ad","year":2021},"citing_paper":{"arxiv_id":"2608.04377","last_updated":"2026-08-05T02:36:58Z","snapshot_observed_at":"2026-08-09T12:08:20.571083Z","submitted_at":"2026-08-05T02:36:58Z","title":"Towards Trustworthy Hypergraph Neural Networks under Label Noise","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T18:46:34.453202Z"},"links":{"cited_paper":"/paper/2102.01934","citing_paper":"/paper/2608.04377"},"observation_digest":"sha256:0e17033609baf7c61dc513c31b4f306e986e5603a3cd8824135234de1592760d","observation_id":"e07dbce0-6b8d-47fd-a8c8-b2ff1fb5f364","resolution":{"observed_at":"2026-08-08T18:46:34.916415Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2102.01934/citation-record","integrity":"/paper/2102.01934/integrity","json":"/paper/2102.01934/citation-record.json","paper":"/paper/2102.01934"},"outbound":[],"paper":{"arxiv_id":"2102.01934","last_updated":"2022-09-03T10:08:39Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-09T12:08:30.831226Z","submitted_at":"2021-02-03T08:34:53Z","title":"Noise-robust classification with hypergraph neural network"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2102.01934."}