{"as_of":"2026-08-08T08:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:edf0f432d74d5668133fb83fd0a17a84e09baf0f96f10e68bcc8f6b0dca90f7f","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:47:04.395197Z","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":"2026-08-06T20:47:12.000597Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.10563","last_updated":"2023-10-16T16:36:54Z","snapshot_observed_at":"2026-07-06T16:33:55.369704Z","submitted_at":"2023-10-16T16:36:54Z","title":"RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets","version":1},"cited_work":{"arxiv_id":"2310.10563","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.10563","snapshot_observed_at":"2026-08-06T20:47:12.000597Z","title":"RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets","venue":"cs.CV","work_id":"9c5ad136-75e7-4e54-a1a2-77a22d5c2f0d","year":2023},"citing_paper":{"arxiv_id":"2507.01838","last_updated":"2025-07-02T15:53:44Z","snapshot_observed_at":"2026-08-06T20:39:25.571760Z","submitted_at":"2025-07-02T15:53:44Z","title":"MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:47:04.395197Z"},"links":{"cited_paper":"/paper/2310.10563","citing_paper":"/paper/2507.01838"},"observation_digest":"sha256:9d4b35131972f7c4ab0e0c5a81458d32f0d5667898e0cae31e0ff49e1443fe64","observation_id":"04579d9e-a9d8-42af-b1ab-9c5cfada9ec6","resolution":{"observed_at":"2026-08-06T20:47:12.006836Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.10563/citation-record","integrity":"/paper/2310.10563/integrity","json":"/paper/2310.10563/citation-record.json","paper":"/paper/2310.10563"},"outbound":[],"paper":{"arxiv_id":"2310.10563","last_updated":"2023-10-16T16:36:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:33:55.369704Z","submitted_at":"2023-10-16T16:36:54Z","title":"RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2310.10563."}