{"as_of":"2026-08-07T23:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4bf4d141be5da3cdc7795b35beeaf791956acdf1a530d0d5272928606f5ee030","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T13:49:25.956638Z","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":"2026-05-11T09:21:01.351287Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.00496","last_updated":"2025-05-15T03:00:00Z","snapshot_observed_at":"2026-08-07T16:18:19.548279Z","submitted_at":"2025-04-01T07:43:10Z","title":"Learned Image Compression with Dictionary-based Entropy Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.00496","snapshot_observed_at":"2026-08-07T13:49:25.956638Z","title":"arXiv preprint arXiv:2504.00496 (2025) 1","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20984","last_updated":"2025-05-27T10:18:24Z","snapshot_observed_at":"2026-08-07T23:25:33.008742Z","submitted_at":"2025-05-27T10:18:24Z","title":"Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:49:25.956638Z"},"links":{"cited_paper":"/paper/2504.00496","citing_paper":"/paper/2505.20984"},"observation_digest":"sha256:b3c5df353ed8db40ff9ea21b8713cc19936402ea2dddfaa4bad3ccbe65c65d8c","observation_id":"ef38b0f8-b739-4454-b4eb-bec9d5f6aa6f","resolution":{"observed_at":"2026-08-07T13:49:25.956638Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.00496","last_updated":"2025-05-15T03:00:00Z","snapshot_observed_at":"2026-08-07T16:18:19.548279Z","submitted_at":"2025-04-01T07:43:10Z","title":"Learned Image Compression with Dictionary-based Entropy Model","version":2},"cited_work":{"arxiv_id":"2504.00496","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.00496","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learned image compression with dictionary- based entropy model.arXiv preprint arXiv:2504.00496","venue":null,"work_id":"4a507287-5bfd-4ad7-aa08-4d0a824aff11","year":null},"citing_paper":{"arxiv_id":"2604.10546","last_updated":"2026-05-04T09:22:48Z","snapshot_observed_at":"2026-07-06T22:59:09.778842Z","submitted_at":"2026-04-12T09:25:24Z","title":"Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T16:05:02.363658Z"},"links":{"cited_paper":"/paper/2504.00496","citing_paper":"/paper/2604.10546"},"observation_digest":"sha256:a8322be7be122975d55fc74f3e16b747d80d505ce4a6d7a07e71846ba48e8135","observation_id":"7b488051-8054-4da4-8478-452b2ab961a6","resolution":{"observed_at":"2026-05-11T09:21:01.356959Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.00496/citation-record","integrity":"/paper/2504.00496/integrity","json":"/paper/2504.00496/citation-record.json","paper":"/paper/2504.00496"},"outbound":[],"paper":{"arxiv_id":"2504.00496","last_updated":"2025-05-15T03:00:00Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:18:19.548279Z","submitted_at":"2025-04-01T07:43:10Z","title":"Learned Image Compression with Dictionary-based Entropy Model"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.00496."}