{"as_of":"2026-08-09T07:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de1275197b01a916d4ab2aaf1008807ce44b6458576aa24e33974319a063ac4a","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:42:53.633999Z","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":"2026-05-13T05:27:19.549299Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.09532","last_updated":"2025-02-01T06:13:27Z","snapshot_observed_at":"2026-08-08T00:47:07.026801Z","submitted_at":"2025-01-16T13:34:33Z","title":"AdaFV: Rethinking of Visual-Language alignment for VLM acceleration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09532","snapshot_observed_at":"2026-08-07T00:42:53.633999Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.13166","last_updated":"2025-06-16T07:21:11Z","snapshot_observed_at":"2026-08-08T08:38:39.497266Z","submitted_at":"2025-06-16T07:21:11Z","title":"GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T00:42:53.633999Z"},"links":{"cited_paper":"/paper/2501.09532","citing_paper":"/paper/2506.13166"},"observation_digest":"sha256:2d21abdee39da5a012cee189c97a8775f34ec420ebf5b4e63c2e73899979e449","observation_id":"4903a790-14c1-4a4a-9ef7-034902d90dfc","resolution":{"observed_at":"2026-08-07T00:42:53.633999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09532","last_updated":"2025-02-01T06:13:27Z","snapshot_observed_at":"2026-08-08T00:47:07.026801Z","submitted_at":"2025-01-16T13:34:33Z","title":"AdaFV: Rethinking of Visual-Language alignment for VLM acceleration","version":2},"cited_work":{"arxiv_id":"2501.09532","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.09532","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2501.09532 , year=","venue":null,"work_id":"10471b34-4093-495d-b865-4a4fc227e047","year":2025},"citing_paper":{"arxiv_id":"2604.11122","last_updated":"2026-04-13T07:36:02Z","snapshot_observed_at":"2026-07-06T22:59:36.571641Z","submitted_at":"2026-04-13T07:36:02Z","title":"Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T15:29:49.681399Z"},"links":{"cited_paper":"/paper/2501.09532","citing_paper":"/paper/2604.11122"},"observation_digest":"sha256:5e6169d252639d516f7173bc469ea828c323a0bf1e010b237a069978536e4d0d","observation_id":"c5326a5f-2dd8-4602-80aa-e2cda368c97e","resolution":{"observed_at":"2026-05-11T10:26:01.546179Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09532","last_updated":"2025-02-01T06:13:27Z","snapshot_observed_at":"2026-08-08T00:47:07.026801Z","submitted_at":"2025-01-16T13:34:33Z","title":"AdaFV: Rethinking of Visual-Language alignment for VLM acceleration","version":2},"cited_work":{"arxiv_id":"2501.09532","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.09532","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2501.09532 , year=","venue":null,"work_id":"10471b34-4093-495d-b865-4a4fc227e047","year":2025},"citing_paper":{"arxiv_id":"2605.11864","last_updated":"2026-05-12T09:45:59Z","snapshot_observed_at":"2026-07-06T23:23:39.723268Z","submitted_at":"2026-05-12T09:45:59Z","title":"Very Efficient Listwise Multimodal Reranking for Long Documents","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-13T05:17:19.587925Z"},"links":{"cited_paper":"/paper/2501.09532","citing_paper":"/paper/2605.11864"},"observation_digest":"sha256:d2acf5dca4b01be26560d1c02985aadf12d5fb0673ee913e94159e983d13a385","observation_id":"9b9e31e9-f034-46fb-b29b-3de4c23cde20","resolution":{"observed_at":"2026-05-13T05:27:19.551164Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.09532/citation-record","integrity":"/paper/2501.09532/integrity","json":"/paper/2501.09532/citation-record.json","paper":"/paper/2501.09532"},"outbound":[],"paper":{"arxiv_id":"2501.09532","last_updated":"2025-02-01T06:13:27Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T00:47:07.026801Z","submitted_at":"2025-01-16T13:34:33Z","title":"AdaFV: Rethinking of Visual-Language alignment for VLM acceleration"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.09532."}