{"as_of":"2026-08-10T10:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2ab2438693efe298499c8954d55e6d0bbd96ade4534734475bc335bf4c123267","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":"2026-08-10T06:31:04.303077+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":"2026-06-27T22:29:55.741005Z","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":"2026-07-02T16:37:09.494046Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.03945","last_updated":"2022-06-08T15:09:04Z","snapshot_observed_at":"2026-08-06T17:51:05.547004Z","submitted_at":"2022-06-08T15:09:04Z","title":"Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models","version":1},"cited_work":{"arxiv_id":"2206.03945","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.03945","snapshot_observed_at":"2026-07-02T16:37:09.494046Z","title":"arXiv preprint arXiv:2206.03945 , year=","venue":null,"work_id":"302939e6-07e2-4514-b2ce-f3f343dd0d35","year":null},"citing_paper":{"arxiv_id":"2606.07714","last_updated":"2026-06-05T14:46:50Z","snapshot_observed_at":"2026-08-09T19:59:01.859682Z","submitted_at":"2026-06-05T14:46:50Z","title":"Beyond Accuracy: Interpreting Topic Representation in Suicide Ideation Detection Models","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-06-27T22:29:55.741005Z"},"links":{"cited_paper":"/paper/2206.03945","citing_paper":"/paper/2606.07714"},"observation_digest":"sha256:cd2f9b8aba4dac85d750516443045d51c403204b9cfcbe273b94b3643753e077","observation_id":"bc2486f3-61b3-461b-a1f9-8d9be39d16f0","resolution":{"observed_at":"2026-07-02T16:37:09.495368Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2206.03945/citation-record","integrity":"/paper/2206.03945/integrity","json":"/paper/2206.03945/citation-record.json","paper":"/paper/2206.03945"},"outbound":[],"paper":{"arxiv_id":"2206.03945","last_updated":"2022-06-08T15:09:04Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T17:51:05.547004Z","submitted_at":"2022-06-08T15:09:04Z","title":"Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2206.03945."}