{"as_of":"2026-08-15T00:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:41ff1f8f7c0775ff593c7f4dcf14b58f174463079e215f9352bdc69c054a2cda","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T00:52:14.691075Z","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":"2026-08-11T00:52:15.729401Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.06666","last_updated":"2022-04-14T06:51:48Z","snapshot_observed_at":"2026-08-13T19:04:54.831848Z","submitted_at":"2021-06-12T02:07:07Z","title":"Learnable Hypergraph Laplacian for Hypergraph Learning","version":3},"cited_work":{"arxiv_id":"2106.06666","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.06666","snapshot_observed_at":"2026-08-11T00:52:15.729401Z","title":"Learnable Hypergraph Laplacian for Hypergraph Learning","venue":"cs.LG","work_id":"cfc18b66-b0cc-4b68-b5dd-970d40fafc91","year":2021},"citing_paper":{"arxiv_id":"2412.19227","last_updated":"2024-12-26T14:05:51Z","snapshot_observed_at":"2026-08-14T02:31:04.312774Z","submitted_at":"2024-12-26T14:05:51Z","title":"Multi-view Fake News Detection Model Based on Dynamic Hypergraph","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T00:52:14.691075Z"},"links":{"cited_paper":"/paper/2106.06666","citing_paper":"/paper/2412.19227"},"observation_digest":"sha256:5cf77be764862061d36d5a92dd2d0296ab3572c8c99e77c1c03d1426889dedf1","observation_id":"963897d2-e2c6-42e2-a136-a2c93e3e0734","resolution":{"observed_at":"2026-08-11T00:52:15.735892Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.06666/citation-record","integrity":"/paper/2106.06666/integrity","json":"/paper/2106.06666/citation-record.json","paper":"/paper/2106.06666"},"outbound":[],"paper":{"arxiv_id":"2106.06666","last_updated":"2022-04-14T06:51:48Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T19:04:54.831848Z","submitted_at":"2021-06-12T02:07:07Z","title":"Learnable Hypergraph Laplacian for Hypergraph Learning"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.06666."}