{"as_of":"2026-08-18T20:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a123ebb4da31ac31c16f6dc3ffde141f27b5037dd9d10abaacb4aeece1c63ab9","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":"2026-08-18T06:34:40.430872+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":"2026-08-16T12:01:59.071430Z","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":"2026-08-16T12:01:59.670258Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.01071","last_updated":"2022-11-02T12:07:16Z","snapshot_observed_at":"2026-08-18T06:29:59.146040Z","submitted_at":"2022-11-02T12:07:16Z","title":"Gradient Knowledge Distillation for Pre-trained Language Models","version":1},"cited_work":{"arxiv_id":"2211.01071","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.01071","snapshot_observed_at":"2026-08-16T12:01:59.670258Z","title":"Gradient Knowledge Distillation for Pre-trained Language Models","venue":"cs.CL","work_id":"39b072cb-0866-4ebb-b2d4-65cd31cb0a78","year":2022},"citing_paper":{"arxiv_id":"2504.13825","last_updated":"2025-04-18T17:54:33Z","snapshot_observed_at":"2026-08-16T14:33:02.618374Z","submitted_at":"2025-04-18T17:54:33Z","title":"Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-16T12:01:59.071430Z"},"links":{"cited_paper":"/paper/2211.01071","citing_paper":"/paper/2504.13825"},"observation_digest":"sha256:58022bdbb4d46db36b0c2e24a3e8f293237f633b7ead796473c1343f22492a15","observation_id":"3afc50ab-b7cf-4c1b-ad6a-b06245c77cb0","resolution":{"observed_at":"2026-08-16T12:01:59.674922Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.01071/citation-record","integrity":"/paper/2211.01071/integrity","json":"/paper/2211.01071/citation-record.json","paper":"/paper/2211.01071"},"outbound":[],"paper":{"arxiv_id":"2211.01071","last_updated":"2022-11-02T12:07:16Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T06:29:59.146040Z","submitted_at":"2022-11-02T12:07:16Z","title":"Gradient Knowledge Distillation for Pre-trained Language 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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2211.01071."}