{"as_of":"2026-08-10T21:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d3c075692c2f2da7546e882ea81b4cf2897a0618e5b86fe09e416e007c70998","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":"2026-08-09T13:46:43.443060Z","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":"2026-08-09T13:46:44.121748Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.07663","last_updated":"2022-10-14T09:30:36Z","snapshot_observed_at":"2026-08-10T07:07:03.959314Z","submitted_at":"2022-10-14T09:30:36Z","title":"Pretrained Transformers Do not Always Improve Robustness","version":1},"cited_work":{"arxiv_id":"2210.07663","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.07663","snapshot_observed_at":"2026-08-09T13:46:44.121748Z","title":"Pretrained Transformers Do not Always Improve Robustness","venue":"cs.CL","work_id":"53c21c4e-a878-411c-8a40-20524ec62805","year":2022},"citing_paper":{"arxiv_id":"2502.02007","last_updated":"2025-02-20T03:38:38Z","snapshot_observed_at":"2026-08-10T07:06:07.756557Z","submitted_at":"2025-02-04T04:46:41Z","title":"Reasoning Bias of Next Token Prediction Training","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-09T13:46:43.443060Z"},"links":{"cited_paper":"/paper/2210.07663","citing_paper":"/paper/2502.02007"},"observation_digest":"sha256:fd40117fae40d4f93161757515102b0223322d59ff7ad988da6082133c533fd2","observation_id":"53d00bd4-9b33-4657-b951-5a431f8cafe1","resolution":{"observed_at":"2026-08-09T13:46:44.127239Z","resolver_source":"local_arxiv","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/2210.07663/citation-record","integrity":"/paper/2210.07663/integrity","json":"/paper/2210.07663/citation-record.json","paper":"/paper/2210.07663"},"outbound":[],"paper":{"arxiv_id":"2210.07663","last_updated":"2022-10-14T09:30:36Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T07:07:03.959314Z","submitted_at":"2022-10-14T09:30:36Z","title":"Pretrained Transformers Do not Always Improve Robustness"},"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:2210.07663."}