{"as_of":"2026-08-10T11:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3a6ec8d4dab3d62b0f63e6138fdb8e787f86a27f186966cafccc96854c7f613f","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":"2026-08-07T13:52:43.393936Z","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":"2026-08-07T13:52:47.923424Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.01649","last_updated":"2023-05-03T20:19:13Z","snapshot_observed_at":"2026-07-06T15:22:28.700249Z","submitted_at":"2023-05-02T17:59:31Z","title":"Generalizing Dataset Distillation via Deep Generative Prior","version":2},"cited_work":{"arxiv_id":"2305.01649","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.01649","snapshot_observed_at":"2026-08-07T13:52:47.923424Z","title":"Generalizing Dataset Distillation via Deep Generative Prior","venue":"cs.CV","work_id":"4b676161-1717-4338-9ecd-a71bffc5b694","year":2023},"citing_paper":{"arxiv_id":"2505.20694","last_updated":"2025-05-27T04:02:57Z","snapshot_observed_at":"2026-08-07T13:46:31.994949Z","submitted_at":"2025-05-27T04:02:57Z","title":"Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:52:43.393936Z"},"links":{"cited_paper":"/paper/2305.01649","citing_paper":"/paper/2505.20694"},"observation_digest":"sha256:3a4f74504d361f8bf81401c4c845d4344370975f1a20fbb9391e96dce84c1fd8","observation_id":"58349d06-0d00-41e2-a9bc-1163c5d43481","resolution":{"observed_at":"2026-08-07T13:52:48.020320Z","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/2305.01649/citation-record","integrity":"/paper/2305.01649/integrity","json":"/paper/2305.01649/citation-record.json","paper":"/paper/2305.01649"},"outbound":[],"paper":{"arxiv_id":"2305.01649","last_updated":"2023-05-03T20:19:13Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T15:22:28.700249Z","submitted_at":"2023-05-02T17:59:31Z","title":"Generalizing Dataset Distillation via Deep Generative Prior"},"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:2305.01649."}