{"as_of":"2026-08-15T19:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b64ca18e2d77b2169a42d0c64d04197946276253dc5071a236b02a8959653cf","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T18:28:47.206021Z","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":"2026-05-22T14:51:42.814105Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.16108","last_updated":"2024-04-19T02:05:02Z","snapshot_observed_at":"2026-08-14T07:59:17.347733Z","submitted_at":"2023-09-28T02:20:59Z","title":"Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16108","snapshot_observed_at":"2026-08-09T18:28:47.206021Z","title":"Channel vision transformers: An image is worth c x 16 x 16 words","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00594","last_updated":"2025-02-01T23:35:20Z","snapshot_observed_at":"2026-08-15T13:01:41.037649Z","submitted_at":"2025-02-01T23:35:20Z","title":"Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T18:28:47.206021Z"},"links":{"cited_paper":"/paper/2309.16108","citing_paper":"/paper/2502.00594"},"observation_digest":"sha256:1356a7a1e9d7c427eb6ea5b585e11a24e8af7149cf75682444d14c589c296874","observation_id":"f3c30f5f-6149-4898-bfc4-b0c156b7a00d","resolution":{"observed_at":"2026-08-09T18:28:47.206021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16108","last_updated":"2024-04-19T02:05:02Z","snapshot_observed_at":"2026-08-14T07:59:17.347733Z","submitted_at":"2023-09-28T02:20:59Z","title":"Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words","version":4},"cited_work":{"arxiv_id":"2309.16108","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16108","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast Gaussian process estimation for large- scale in situ inference using convolutional neural net- works","venue":null,"work_id":"6e28d877-25ea-439a-88bb-3b11a1f8f463","year":2021},"citing_paper":{"arxiv_id":"2505.09803","last_updated":"2026-04-20T18:01:10Z","snapshot_observed_at":"2026-07-06T21:24:06.109490Z","submitted_at":"2025-05-14T20:59:10Z","title":"LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-22T14:47:04.288770Z"},"links":{"cited_paper":"/paper/2309.16108","citing_paper":"/paper/2505.09803"},"observation_digest":"sha256:4e868e96eae05490ad08068961ba97c189edc11b350c76d7aa3e59b87b3dfde8","observation_id":"2b701df4-dc16-463a-9a24-fd2802db01a6","resolution":{"observed_at":"2026-05-22T14:51:42.817144Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16108","last_updated":"2024-04-19T02:05:02Z","snapshot_observed_at":"2026-08-14T07:59:17.347733Z","submitted_at":"2023-09-28T02:20:59Z","title":"Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16108","snapshot_observed_at":"2026-08-07T11:11:20.028195Z","title":"& Karaletsos, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.03373","last_updated":"2025-06-03T20:30:25Z","snapshot_observed_at":"2026-08-14T10:19:03.139371Z","submitted_at":"2025-06-03T20:30:25Z","title":"A Foundation Model for Spatial Proteomics","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T11:11:20.028195Z"},"links":{"cited_paper":"/paper/2309.16108","citing_paper":"/paper/2506.03373"},"observation_digest":"sha256:19c7baaf50e2c5d6cbcfec6fe8bf0e830f4305e94585b6cfa8c21a6649a04d54","observation_id":"7a1cf1dd-2e16-47f7-baed-94aa1499dbac","resolution":{"observed_at":"2026-08-07T11:11:20.028195Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16108","last_updated":"2024-04-19T02:05:02Z","snapshot_observed_at":"2026-08-14T07:59:17.347733Z","submitted_at":"2023-09-28T02:20:59Z","title":"Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words","version":4},"cited_work":{"arxiv_id":"2309.16108","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16108","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast Gaussian process estimation for large- scale in situ inference using convolutional neural net- works","venue":null,"work_id":"6e28d877-25ea-439a-88bb-3b11a1f8f463","year":2021},"citing_paper":{"arxiv_id":"2604.10970","last_updated":"2026-04-13T04:14:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-13T04:14:01Z","title":"Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T15:56:18.653793Z"},"links":{"cited_paper":"/paper/2309.16108","citing_paper":"/paper/2604.10970"},"observation_digest":"sha256:9603e16cd83efdd287c81fd5b97eb9ecacfc90f6e46a9778ea896fddeb6a9871","observation_id":"fb0b1aec-6e16-4de8-acec-7229d60d4ad6","resolution":{"observed_at":"2026-05-11T09:36:02.330867Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16108","last_updated":"2024-04-19T02:05:02Z","snapshot_observed_at":"2026-08-14T07:59:17.347733Z","submitted_at":"2023-09-28T02:20:59Z","title":"Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words","version":4},"cited_work":{"arxiv_id":"2309.16108","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.16108","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast Gaussian process estimation for large- scale in situ inference using convolutional neural net- works","venue":null,"work_id":"6e28d877-25ea-439a-88bb-3b11a1f8f463","year":2021},"citing_paper":{"arxiv_id":"2605.18541","last_updated":"2026-05-18T15:22:26Z","snapshot_observed_at":"2026-08-02T14:46:31.423931Z","submitted_at":"2026-05-18T15:22:26Z","title":"LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-20T11:16:01.428052Z"},"links":{"cited_paper":"/paper/2309.16108","citing_paper":"/paper/2605.18541"},"observation_digest":"sha256:85f844aee7df689e6bc069a70adb17f173dfa47da4073f2ea4dd1c37242fbf22","observation_id":"fbb9ca86-2383-4d2f-8546-01b0a7f39086","resolution":{"observed_at":"2026-05-20T11:18:13.726145Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.16108/citation-record","integrity":"/paper/2309.16108/integrity","json":"/paper/2309.16108/citation-record.json","paper":"/paper/2309.16108"},"outbound":[],"paper":{"arxiv_id":"2309.16108","last_updated":"2024-04-19T02:05:02Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T07:59:17.347733Z","submitted_at":"2023-09-28T02:20:59Z","title":"Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.16108."}