{"as_of":"2026-08-19T17:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:757dc4648c43da1a317925fe01597d4a44dbf0e5bd9f953d5596d969ed6ae6c5","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":"2026-08-19T06:32:44.657259+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":"2026-06-26T18:29:12.196197Z","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":"2026-07-04T03:09:29.100802Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.03035","last_updated":"2022-12-06T15:08:00Z","snapshot_observed_at":"2026-08-17T01:31:29.595421Z","submitted_at":"2022-12-06T15:08:00Z","title":"IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2212.03035","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.03035","snapshot_observed_at":"2026-07-04T03:09:29.100802Z","title":"arXiv preprint arXiv:2212.03035 (2022)","venue":null,"work_id":"3f2c8b75-0b31-41f5-a75d-9e6e688cee55","year":2022},"citing_paper":{"arxiv_id":"2604.23320","last_updated":"2026-04-25T14:14:41Z","snapshot_observed_at":"2026-08-11T00:39:19.064228Z","submitted_at":"2026-04-25T14:14:41Z","title":"KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-08T08:31:35.014294Z"},"links":{"cited_paper":"/paper/2212.03035","citing_paper":"/paper/2604.23320"},"observation_digest":"sha256:06e389774cfd06e87f1682d8994fcfd3e6726604201dc7d722501aeae59da9f1","observation_id":"3081395b-8507-41b5-8c48-fd5551b29fec","resolution":{"observed_at":"2026-05-11T20:36:09.202562Z","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":"2212.03035","last_updated":"2022-12-06T15:08:00Z","snapshot_observed_at":"2026-08-17T01:31:29.595421Z","submitted_at":"2022-12-06T15:08:00Z","title":"IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2212.03035","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.03035","snapshot_observed_at":"2026-07-04T03:09:29.100802Z","title":"arXiv preprint arXiv:2212.03035 (2022)","venue":null,"work_id":"3f2c8b75-0b31-41f5-a75d-9e6e688cee55","year":2022},"citing_paper":{"arxiv_id":"2606.19824","last_updated":"2026-06-18T06:01:31Z","snapshot_observed_at":"2026-07-06T23:55:05.932014Z","submitted_at":"2026-06-18T06:01:31Z","title":"CSWinUNETR: Segmentation of Thin Anatomical Structures in Medical Images","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T18:29:12.196197Z"},"links":{"cited_paper":"/paper/2212.03035","citing_paper":"/paper/2606.19824"},"observation_digest":"sha256:9bfde3f73c82331dbdb5fb38cdec7793c2050a1d3f339fd38a7cb175acdca9e9","observation_id":"64aee4e4-75bb-4a93-a643-4604ef538c2c","resolution":{"observed_at":"2026-07-04T03:09:29.102473Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2212.03035/citation-record","integrity":"/paper/2212.03035/integrity","json":"/paper/2212.03035/citation-record.json","paper":"/paper/2212.03035"},"outbound":[],"paper":{"arxiv_id":"2212.03035","last_updated":"2022-12-06T15:08:00Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T01:31:29.595421Z","submitted_at":"2022-12-06T15:08:00Z","title":"IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation"},"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 2 inbound Pith citation observations for arXiv:2212.03035."}