{"as_of":"2026-08-12T08:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e454ced6fd9b89a25ac8be7c28f805240572f0013cf731a0684990240c6bcb04","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":"2026-08-12T06:34:41.77262+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":"2026-08-11T13:09:46.491214Z","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":"2026-08-11T11:40:41.952587Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.09507","last_updated":"2023-10-10T03:13:38Z","snapshot_observed_at":"2026-08-12T06:26:48.405852Z","submitted_at":"2023-09-18T06:38:24Z","title":"Pruning Large Language Models via Accuracy Predictor","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.09507","snapshot_observed_at":"2026-08-11T13:09:46.491214Z","title":"Pruning large language models via accuracy predictor,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.13437","last_updated":"2024-12-18T02:15:31Z","snapshot_observed_at":"2026-08-11T16:12:55.845810Z","submitted_at":"2024-12-18T02:15:31Z","title":"Deploying Foundation Model Powered Agent Services: A Survey","version":1},"reference_index":185,"source":"pdf_text","source_observed_at":"2026-08-11T13:09:46.491214Z"},"links":{"cited_paper":"/paper/2309.09507","citing_paper":"/paper/2412.13437"},"observation_digest":"sha256:cf754a6bb42901ed001bb2573f8354ba27e262e09bd3b8d11024aa77f83655e5","observation_id":"0eaecf4e-115d-499b-8a28-8228122507f0","resolution":{"observed_at":"2026-08-11T13:09:46.491214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.09507","last_updated":"2023-10-10T03:13:38Z","snapshot_observed_at":"2026-08-12T06:26:48.405852Z","submitted_at":"2023-09-18T06:38:24Z","title":"Pruning Large Language Models via Accuracy Predictor","version":2},"cited_work":{"arxiv_id":"2309.09507","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.09507","snapshot_observed_at":"2026-08-11T11:40:41.952587Z","title":"Pruning Large Language Models via Accuracy Predictor","venue":"cs.AI","work_id":"f7151be3-6dfb-4e00-af60-c6dbae17855e","year":2023},"citing_paper":{"arxiv_id":"2412.15127","last_updated":"2024-12-19T18:08:04Z","snapshot_observed_at":"2026-08-12T03:28:46.550103Z","submitted_at":"2024-12-19T18:08:04Z","title":"Adaptive Pruning for Large Language Models with Structural Importance Awareness","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T11:40:41.566683Z"},"links":{"cited_paper":"/paper/2309.09507","citing_paper":"/paper/2412.15127"},"observation_digest":"sha256:fe61b790bd995b08290ec65462b23816d3f692f497e1c05e5897d3605386ce89","observation_id":"95f21e58-03fb-4d9a-a45b-125bb377c610","resolution":{"observed_at":"2026-08-11T11:40:41.959346Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.09507/citation-record","integrity":"/paper/2309.09507/integrity","json":"/paper/2309.09507/citation-record.json","paper":"/paper/2309.09507"},"outbound":[],"paper":{"arxiv_id":"2309.09507","last_updated":"2023-10-10T03:13:38Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-12T06:26:48.405852Z","submitted_at":"2023-09-18T06:38:24Z","title":"Pruning Large Language Models via Accuracy Predictor"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.09507."}