{"as_of":"2026-08-07T12:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7f15dbdd6828401bb4ae3cb9e4116cdccb5f4dbdd2745e8a6882867dea5cf149","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:01:23.751062Z","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":"2026-07-01T22:26:17.683000Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-08-07T05:01:23.751062Z","title":"Foveater: Foveated transformer for image classification.arXiv preprint arXiv:2105.14173,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.11131","last_updated":"2025-06-10T18:06:27Z","snapshot_observed_at":"2026-08-07T04:53:44.298480Z","submitted_at":"2025-06-10T18:06:27Z","title":"Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:23.751062Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2506.11131"},"observation_digest":"sha256:4dd3c0d8ca406746edb4891f70e1363dd77038537d5cf2ec40b64cffebd1769c","observation_id":"40a1255e-c691-4dd0-81b2-330d8e2c0bec","resolution":{"observed_at":"2026-08-07T05:01:23.751062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-08-06T15:26:24.787335Z","title":"Foveater: Foveated transformer for image classification,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.15833","last_updated":"2026-07-13T23:45:05Z","snapshot_observed_at":"2026-08-06T15:20:06.611013Z","submitted_at":"2025-07-21T17:44:10Z","title":"Look, Focus, Act: Efficient and Robust Robot Learning via Human Gaze and Foveated Vision Transformers","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:26:24.787335Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2507.15833"},"observation_digest":"sha256:e3534a4bf76900658665dd66f6cce4bdd1e9d8793adbc18f756e27d961035601","observation_id":"951fb8fd-cdc0-49b5-9e8e-b5c02e4615d6","resolution":{"observed_at":"2026-08-06T15:26:24.787335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-08-05T17:26:02.254783Z","title":"Foveater: Foveated transformer for image classification","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.16309","last_updated":"2025-08-22T11:36:19Z","snapshot_observed_at":"2026-08-07T03:30:32.079869Z","submitted_at":"2025-08-22T11:36:19Z","title":"Quantum-Enhanced Optimization by Warm Starts","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T17:26:02.254783Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2508.16309"},"observation_digest":"sha256:7bfae72809dcddf54df5c1218761195b0ed697aad945351c4dc31afb3d065af5","observation_id":"640c9c60-9b66-4825-979a-bac7cfa1f92e","resolution":{"observed_at":"2026-08-05T17:26:02.254783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-08-05T17:27:27.365982Z","title":"Foveater: Foveated transformer for image classification","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.16317","last_updated":"2025-08-22T11:57:49Z","snapshot_observed_at":"2026-08-06T10:32:33.118170Z","submitted_at":"2025-08-22T11:57:49Z","title":"Vision encoders should be image size agnostic and task driven","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T17:27:27.365982Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2508.16317"},"observation_digest":"sha256:108bad3aae790182a16f493229e3d0ceeb571e56e63044e3ae4bc604e5d7f724","observation_id":"4b1816c1-d9c0-45b2-bfd1-e280f749adea","resolution":{"observed_at":"2026-08-05T17:27:27.365982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":"2105.14173","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-07-01T22:26:17.683000Z","title":"arXiv preprint arXiv:2105.14173 (2022) 14","venue":null,"work_id":"5ce547e6-7a8a-4814-84e1-870c7360af68","year":2022},"citing_paper":{"arxiv_id":"2604.20392","last_updated":"2026-04-22T09:53:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-22T09:53:28Z","title":"Self-supervised pretraining for an iterative image size agnostic vision transformer","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T00:18:06.989944Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2604.20392"},"observation_digest":"sha256:4810b1b480f8a65a57b5f907db190843de808ba11622509dfc22e795c39d3a35","observation_id":"422a99d2-0119-4d90-8c46-f3521e9d580b","resolution":{"observed_at":"2026-05-10T00:19:46.842446Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":"2105.14173","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-07-01T22:26:17.683000Z","title":"arXiv preprint arXiv:2105.14173 (2022) 14","venue":null,"work_id":"5ce547e6-7a8a-4814-84e1-870c7360af68","year":2022},"citing_paper":{"arxiv_id":"2604.21079","last_updated":"2026-04-22T20:44:24Z","snapshot_observed_at":"2026-07-06T23:07:41.856444Z","submitted_at":"2026-04-22T20:44:24Z","title":"Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T00:16:34.362000Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2604.21079"},"observation_digest":"sha256:2606f791be4055a48fe49c2a4c23142d5d1da4d6ca56f12eb2f706a8e311fd2d","observation_id":"89521b1f-91c9-4b00-9ca1-96587fe2b7b8","resolution":{"observed_at":"2026-05-10T00:19:47.048128Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":"2105.14173","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-07-01T22:26:17.683000Z","title":"arXiv preprint arXiv:2105.14173 (2022) 14","venue":null,"work_id":"5ce547e6-7a8a-4814-84e1-870c7360af68","year":2022},"citing_paper":{"arxiv_id":"2606.02565","last_updated":"2026-06-01T17:55:05Z","snapshot_observed_at":"2026-07-06T23:42:58.036516Z","submitted_at":"2026-06-01T17:55:05Z","title":"Policy-based Foveated Imaging and Perception","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-28T15:23:48.688620Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2606.02565"},"observation_digest":"sha256:5a741357d4880661c613bfb296691fa3516f2b2f4f7844d6dd55b3633c301aac","observation_id":"676c2833-44ef-4df2-90fd-a7c61fc5d5f2","resolution":{"observed_at":"2026-07-01T22:26:17.684406Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-07-13T02:43:47.779443Z","title":"Jonnalagadda, W","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.09480","last_updated":"2026-07-10T14:53:16Z","snapshot_observed_at":"2026-08-07T10:47:14.840762Z","submitted_at":"2026-07-10T14:53:16Z","title":"Foveation-Guided Dynamic Token Selection for Robust and Efficient Vision Transformers","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-13T02:43:47.779443Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2607.09480"},"observation_digest":"sha256:f521996b7742e4b44975746792a16c6fef171cbdaea7e0337e31d70e80d3473f","observation_id":"33543ac1-8c1c-4d8d-b5e1-53c2235a03fa","resolution":{"observed_at":"2026-07-13T02:43:47.779443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-08-04T13:51:15.122925Z","title":"Manjunath, and Miguel P","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02140","last_updated":"2026-08-05T14:57:15Z","snapshot_observed_at":"2026-08-07T11:55:29.424580Z","submitted_at":"2026-08-03T12:28:11Z","title":"HiResNets: Native Full-HD Video Recognition with Foveal Residual Streams","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T13:51:15.122925Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2608.02140"},"observation_digest":"sha256:f686e28e94660eb2cd174a9a3362b8797f58ecd194b576abefdf49a26de24679","observation_id":"69444c27-62cf-4b54-9ee3-83a1023e5bcd","resolution":{"observed_at":"2026-08-04T13:51:15.122925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14173","snapshot_observed_at":"2026-08-07T00:14:22.743370Z","title":"Manjunath, and Miguel P","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02140","last_updated":"2026-08-05T14:57:15Z","snapshot_observed_at":"2026-08-07T11:55:29.424580Z","submitted_at":"2026-08-03T12:28:11Z","title":"HiResNets: Native Full-HD Video Recognition with Foveal Residual Streams","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T00:14:22.743370Z"},"links":{"cited_paper":"/paper/2105.14173","citing_paper":"/paper/2608.02140"},"observation_digest":"sha256:30fbb75f5d2728f5616c04f07e82f34d96d3707263677f31a6fd551a8cf01ddf","observation_id":"2f4d104b-5cf2-4d19-bca9-9b3b5da89ffa","resolution":{"observed_at":"2026-08-07T00:14:22.743370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2105.14173/citation-record","integrity":"/paper/2105.14173/integrity","json":"/paper/2105.14173/citation-record.json","paper":"/paper/2105.14173"},"outbound":[],"paper":{"arxiv_id":"2105.14173","last_updated":"2022-10-02T19:59:49Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T11:13:54.995111Z","submitted_at":"2021-05-29T01:54:33Z","title":"FoveaTer: Foveated Transformer for Image Classification"},"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 10 inbound Pith citation observations for arXiv:2105.14173."}