{"as_of":"2026-08-19T08:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:62be6f42e036d98521a1b41318bfcf4506f596b728e7d99fb1a3131f6b70a440","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":"2026-08-19T06:32:44.657259+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":"2026-08-15T19:48:23.008266Z","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":"2026-07-02T01:36:25.734607Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.02249","last_updated":"2021-11-03T14:39:09Z","snapshot_observed_at":"2026-08-19T07:41:34.168935Z","submitted_at":"2021-11-03T14:39:09Z","title":"Learned Image Compression for Machine Perception","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02249","snapshot_observed_at":"2026-08-15T19:48:23.008266Z","title":"Learned image compression for machine perception,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.15228","last_updated":"2025-06-18T08:11:27Z","snapshot_observed_at":"2026-08-18T05:18:40.362499Z","submitted_at":"2025-06-18T08:11:27Z","title":"ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T19:48:23.008266Z"},"links":{"cited_paper":"/paper/2111.02249","citing_paper":"/paper/2506.15228"},"observation_digest":"sha256:1a96aaf914e39985210fd00b7244d1ce4de7595dcd386fc1f3db30cda7479fe7","observation_id":"835545d9-5d09-4e60-afd2-c3c9089493a4","resolution":{"observed_at":"2026-08-15T19:48:23.008266Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02249","last_updated":"2021-11-03T14:39:09Z","snapshot_observed_at":"2026-08-19T07:41:34.168935Z","submitted_at":"2021-11-03T14:39:09Z","title":"Learned Image Compression for Machine Perception","version":1},"cited_work":{"arxiv_id":"2111.02249","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.02249","snapshot_observed_at":"2026-07-02T01:36:25.734607Z","title":"Learned image compression for machine percep- tion","venue":null,"work_id":"dbbd9b75-64bb-4f3d-9289-099d7edd70e0","year":2021},"citing_paper":{"arxiv_id":"2604.10017","last_updated":"2026-04-11T04:03:37Z","snapshot_observed_at":"2026-08-17T08:10:43.129192Z","submitted_at":"2026-04-11T04:03:37Z","title":"What and Where to Adapt: Structure-Semantics Co-Tuning for Machine Vision Compression via Synergistic Adapters","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T16:00:01.530112Z"},"links":{"cited_paper":"/paper/2111.02249","citing_paper":"/paper/2604.10017"},"observation_digest":"sha256:fb9e4c80fdbe9f0e04ecf4f1ab3e0049198de32b415213bd971053afbed193ee","observation_id":"531bd839-e7a6-4a6f-a746-50d7c119515d","resolution":{"observed_at":"2026-05-11T09:31:02.462594Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02249","last_updated":"2021-11-03T14:39:09Z","snapshot_observed_at":"2026-08-19T07:41:34.168935Z","submitted_at":"2021-11-03T14:39:09Z","title":"Learned Image Compression for Machine Perception","version":1},"cited_work":{"arxiv_id":"2111.02249","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.02249","snapshot_observed_at":"2026-07-02T01:36:25.734607Z","title":"Learned image compression for machine percep- tion","venue":null,"work_id":"dbbd9b75-64bb-4f3d-9289-099d7edd70e0","year":2021},"citing_paper":{"arxiv_id":"2606.03279","last_updated":"2026-06-02T07:44:53Z","snapshot_observed_at":"2026-08-02T10:09:26.385285Z","submitted_at":"2026-06-02T07:44:53Z","title":"A Geometric Lens on Physics-Aligned Data Compression","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-06-28T11:41:54.781471Z"},"links":{"cited_paper":"/paper/2111.02249","citing_paper":"/paper/2606.03279"},"observation_digest":"sha256:035c299259d28bf081196cb8342389d7a605bcf01743209d3a030c13dd7a0adc","observation_id":"decae086-ce29-4b0e-850d-7908870a191f","resolution":{"observed_at":"2026-07-02T01:36:25.736418Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2111.02249/citation-record","integrity":"/paper/2111.02249/integrity","json":"/paper/2111.02249/citation-record.json","paper":"/paper/2111.02249"},"outbound":[],"paper":{"arxiv_id":"2111.02249","last_updated":"2021-11-03T14:39:09Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-19T07:41:34.168935Z","submitted_at":"2021-11-03T14:39:09Z","title":"Learned Image Compression for Machine Perception"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.02249."}