{"as_of":"2026-08-06T02:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:02d543160a97c74e8581446752a35485bbb53b67c1d095a84ce7e6e49ad7c2fa","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":"2026-08-05T06:32:48.257954+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":"2026-06-26T01:10:00.373247Z","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":"2026-07-04T15:59:57.415251Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.07278","last_updated":"2024-12-02T08:43:33Z","snapshot_observed_at":"2026-08-03T11:58:32.763621Z","submitted_at":"2024-10-09T07:13:22Z","title":"PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models","version":2},"cited_work":{"arxiv_id":"2410.07278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07278","snapshot_observed_at":"2026-07-04T15:59:57.415251Z","title":"arXiv preprint arXiv:2410.07278 (2024)","venue":null,"work_id":"18454473-63f3-4058-9911-fe76b1d45285","year":2024},"citing_paper":{"arxiv_id":"2606.24156","last_updated":"2026-06-23T05:24:50Z","snapshot_observed_at":"2026-07-06T23:58:44.541819Z","submitted_at":"2026-06-23T05:24:50Z","title":"Accelerating Multimodal Large Language Models with Prior-Corrected Token Reduction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-26T01:10:00.373247Z"},"links":{"cited_paper":"/paper/2410.07278","citing_paper":"/paper/2606.24156"},"observation_digest":"sha256:a642fb2d0a3099dc66d9b15a679d26259b2b3e034a858b64b0330ab97202b5f8","observation_id":"86bcf282-9848-4d45-a5a8-1a414c58c6fc","resolution":{"observed_at":"2026-07-04T15:59:56.776789Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07278","last_updated":"2024-12-02T08:43:33Z","snapshot_observed_at":"2026-08-03T11:58:32.763621Z","submitted_at":"2024-10-09T07:13:22Z","title":"PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models","version":2},"cited_work":{"arxiv_id":"2410.07278","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.07278","snapshot_observed_at":"2026-07-04T15:59:57.415251Z","title":"arXiv preprint arXiv:2410.07278 (2024)","venue":null,"work_id":"18454473-63f3-4058-9911-fe76b1d45285","year":2024},"citing_paper":{"arxiv_id":"2606.24165","last_updated":"2026-06-23T05:39:52Z","snapshot_observed_at":"2026-08-02T01:56:55.495306Z","submitted_at":"2026-06-23T05:39:52Z","title":"Spectral Evolution-Guided Token Pruning in Multimodal Large Language Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-26T01:04:20.802531Z"},"links":{"cited_paper":"/paper/2410.07278","citing_paper":"/paper/2606.24165"},"observation_digest":"sha256:321e2791fa64705f6efdacb13d427eeb70bfc26d529f78e20b5031dc3ba5382e","observation_id":"ea8c71c3-24b6-4ae3-bd74-c1640b2b612c","resolution":{"observed_at":"2026-07-04T15:59:57.416676Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.07278/citation-record","integrity":"/paper/2410.07278/integrity","json":"/paper/2410.07278/citation-record.json","paper":"/paper/2410.07278"},"outbound":[],"paper":{"arxiv_id":"2410.07278","last_updated":"2024-12-02T08:43:33Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T11:58:32.763621Z","submitted_at":"2024-10-09T07:13:22Z","title":"PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal 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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.07278."}