{"as_of":"2026-08-10T09:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6035c27f046b73969e7bf0554edefce46672a90d3dd7d81c9636d6801814e282","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:35:48.560955Z","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":"2026-05-23T02:52:27.148374Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.12517","last_updated":"2022-10-22T18:17:31Z","snapshot_observed_at":"2026-07-06T14:09:05.304905Z","submitted_at":"2022-10-22T18:17:31Z","title":"Exploring The Landscape of Distributional Robustness for Question Answering Models","version":1},"cited_work":{"arxiv_id":"2210.12517","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.12517","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exploring the landscape of distributional robustness for question answering models","venue":null,"work_id":"b5acf429-d562-44df-b2b3-1f1c1c445654","year":2022},"citing_paper":{"arxiv_id":"2502.12120","last_updated":"2026-05-20T13:58:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-17T18:45:25Z","title":"LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-23T02:47:37.492619Z"},"links":{"cited_paper":"/paper/2210.12517","citing_paper":"/paper/2502.12120"},"observation_digest":"sha256:21bcee1c1e4e340c8506bdd40e00941c49c659d6fb98f56b641da4515ca00045","observation_id":"e36ddbe5-0711-4b57-bb6e-f18d93399fa1","resolution":{"observed_at":"2026-05-23T02:52:27.150102Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12517","last_updated":"2022-10-22T18:17:31Z","snapshot_observed_at":"2026-07-06T14:09:05.304905Z","submitted_at":"2022-10-22T18:17:31Z","title":"Exploring The Landscape of Distributional Robustness for Question Answering Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12517","snapshot_observed_at":"2026-08-06T17:35:48.560955Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.14202","last_updated":"2025-07-14T17:41:12Z","snapshot_observed_at":"2026-08-08T03:22:49.699348Z","submitted_at":"2025-07-14T17:41:12Z","title":"PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-06T17:35:48.560955Z"},"links":{"cited_paper":"/paper/2210.12517","citing_paper":"/paper/2507.14202"},"observation_digest":"sha256:a172b9eb011e3c78885b8761c1a67be1720656b4b052bde2f2377e22baa1a83e","observation_id":"c54eaadb-dc35-4b7f-a38a-b6c517553455","resolution":{"observed_at":"2026-08-06T17:35:48.560955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.12517/citation-record","integrity":"/paper/2210.12517/integrity","json":"/paper/2210.12517/citation-record.json","paper":"/paper/2210.12517"},"outbound":[],"paper":{"arxiv_id":"2210.12517","last_updated":"2022-10-22T18:17:31Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T14:09:05.304905Z","submitted_at":"2022-10-22T18:17:31Z","title":"Exploring The Landscape of Distributional Robustness for Question Answering 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 2 inbound Pith citation observations for arXiv:2210.12517."}