{"as_of":"2026-08-07T20:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6dc1a8449f768fcbcfd19036922842019d88330e38427fd79713438b6044e9e0","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:57:04.022680Z","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":"2026-07-03T00:07:28.705839Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-08-06T16:57:04.022680Z","title":"Better plain ViT baselines for ImageNet- 1k, May 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.12157","last_updated":"2025-07-16T11:37:33Z","snapshot_observed_at":"2026-08-06T16:50:08.653767Z","submitted_at":"2025-07-16T11:37:33Z","title":"Fine-Grained Image Recognition from Scratch with Teacher-Guided Data Augmentation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T16:57:04.022680Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2507.12157"},"observation_digest":"sha256:d79e9e4191811a5408fa6046d62d743b99adcb42b0243c5a762201d2fdf09851","observation_id":"8cd753ce-5d27-4c88-ae8a-1fb30bc7c398","resolution":{"observed_at":"2026-08-06T16:57:04.022680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2507.21114","last_updated":"2026-06-23T13:04:27Z","snapshot_observed_at":"2026-08-06T18:17:05.365272Z","submitted_at":"2025-07-11T08:30:12Z","title":"Page image classification for content-specific data processing","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-19T06:00:46.843420Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2507.21114"},"observation_digest":"sha256:3aa82d14aab1ebaa9d626422e54f5e7223977b9a9ff9a83c1f9d2371c2b1c1ed","observation_id":"6ec6e285-3f0e-4b44-a2c5-f78aab1256ce","resolution":{"observed_at":"2026-05-19T06:02:07.660865Z","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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2512.08217","last_updated":"2026-04-13T19:51:17Z","snapshot_observed_at":"2026-08-06T08:00:34.260576Z","submitted_at":"2025-12-09T03:52:54Z","title":"Correction of Decoupled Weight Decay","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-17T00:31:32.188289Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2512.08217"},"observation_digest":"sha256:5722f21fe8d4ab008ee63f8e5dbbedd7803738cd888b402d537a9fe274a74837","observation_id":"4606d555-3ed2-45b4-844d-b777916bca75","resolution":{"observed_at":"2026-05-17T00:33:44.734493Z","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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2604.05052","last_updated":"2026-04-06T18:04:49Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-06T18:04:49Z","title":"Predicting spin-orbit coupling in hole spin qubit arrays with vision-transformer-based neural networks on a generalized Hubbard model","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T19:25:38.923103Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2604.05052"},"observation_digest":"sha256:407e7998f3e88984e66cc7bf04797114ecf9af8f173cac96cd8ac4cb5d6c0fed","observation_id":"7ca1d3cd-c432-4c49-aba0-2055aa0ed35c","resolution":{"observed_at":"2026-05-10T23:00:48.545359Z","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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2605.24789","last_updated":"2026-05-24T00:24:50Z","snapshot_observed_at":"2026-08-01T22:42:13.319208Z","submitted_at":"2026-05-24T00:24:50Z","title":"Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T12:41:24.208394Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2605.24789"},"observation_digest":"sha256:6df41bda85154bcc4b9065f53468f2db25006a85e3f6ed9269c5f7dcc8d81069","observation_id":"3d0d754b-f338-4466-84cd-707cddac9f99","resolution":{"observed_at":"2026-06-30T12:44:39.285949Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2605.27144","last_updated":"2026-05-26T15:09:46Z","snapshot_observed_at":"2026-08-06T11:07:23.455561Z","submitted_at":"2026-05-26T15:09:46Z","title":"Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T17:49:15.275484Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2605.27144"},"observation_digest":"sha256:8834de9104581dc1221cadbc2eb8cdab4a4b7e61948c267751bc9452c7c80e99","observation_id":"eafd0409-b828-4aa6-a5b6-78ad45c9a242","resolution":{"observed_at":"2026-06-29T17:53:47.312958Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2605.29823","last_updated":"2026-06-08T05:59:30Z","snapshot_observed_at":"2026-08-03T17:11:57.302848Z","submitted_at":"2026-05-28T12:05:41Z","title":"Quantifying and Optimizing Simplicity via Polynomial Representations","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T07:10:13.055728Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2605.29823"},"observation_digest":"sha256:c08a0caee38052485543a006ffca475f83b98eb54ca1d9eba17b11ed81559e42","observation_id":"ea7a036a-b7f5-4add-b9a3-65dfc2539f39","resolution":{"observed_at":"2026-06-29T07:13:16.336627Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2605.30126","last_updated":"2026-05-28T15:57:31Z","snapshot_observed_at":"2026-08-03T03:31:55.994242Z","submitted_at":"2026-05-28T15:57:31Z","title":"PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T08:13:42.526597Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2605.30126"},"observation_digest":"sha256:fd81752896cef31e0eb8dec262f866337e66110d455a22e84881015a12a2d30c","observation_id":"5e1580ec-ce8e-47f0-b8f7-c0c181108f0f","resolution":{"observed_at":"2026-06-29T08:23:15.910205Z","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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2606.07558","last_updated":"2026-05-25T08:36:36Z","snapshot_observed_at":"2026-08-03T04:25:51.531766Z","submitted_at":"2026-05-25T08:36:36Z","title":"Page image classifier fine-tuned on century-spanning archives of scanned documents for further content-specific processing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T22:50:29.393207Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2606.07558"},"observation_digest":"sha256:8c3d8f1a7889cb8d39de6967061f1b1ffb3f2770e7e7100c06d739d612cbf890","observation_id":"e66d976b-af30-46a7-ba84-273c22d8512c","resolution":{"observed_at":"2026-06-29T22:54:01.066485Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":"2205.01580","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-07-03T00:07:28.705839Z","title":"Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, and Quoc V Le","venue":null,"work_id":"a02c4740-9447-477a-bbfa-3aab8cf9dbe5","year":2022},"citing_paper":{"arxiv_id":"2606.09646","last_updated":"2026-06-08T15:40:32Z","snapshot_observed_at":"2026-08-07T03:49:33.275871Z","submitted_at":"2026-06-08T15:40:32Z","title":"Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T17:25:15.493925Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2606.09646"},"observation_digest":"sha256:3949f7cfa5cd5ef159537260a3a5de31bec2cec7e4443a5daf52f2c3bcbc0f84","observation_id":"f20f1104-1bd3-4719-941d-a73c8f02fe2c","resolution":{"observed_at":"2026-07-03T00:07:28.707497Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-08-01T00:57:38.127652Z","title":"Better plain vit baselines for ImageNet-1K, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26001","last_updated":"2026-07-28T17:18:11Z","snapshot_observed_at":"2026-08-04T20:25:47.135794Z","submitted_at":"2026-07-28T17:18:11Z","title":"Sharpness-Aware Minimization and Muon: Robustness under the Spectral Norm","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T00:57:38.127652Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2607.26001"},"observation_digest":"sha256:25d1e1afb753fd169789511ea4a339d2c481689895c32db4771e134330160f89","observation_id":"19b01c79-d094-4285-854e-ab1986593644","resolution":{"observed_at":"2026-08-01T00:57:38.127652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.01580","last_updated":"2022-05-03T15:54:44Z","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.01580","snapshot_observed_at":"2026-08-01T02:49:21.051466Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26099","last_updated":"2026-07-28T06:23:48Z","snapshot_observed_at":"2026-08-07T09:23:25.979011Z","submitted_at":"2026-07-28T06:23:48Z","title":"Lilith: Backdoor Generalization under Training-Inference Trigger Shift","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T02:49:21.051466Z"},"links":{"cited_paper":"/paper/2205.01580","citing_paper":"/paper/2607.26099"},"observation_digest":"sha256:aa90256b8035513215627f1f183fc437a46ff0a839695afa8e060e4d12617f4b","observation_id":"9fea1656-c1c4-469f-bc67-6b1cdbfb8663","resolution":{"observed_at":"2026-08-01T02:49:21.051466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2205.01580/citation-record","integrity":"/paper/2205.01580/integrity","json":"/paper/2205.01580/citation-record.json","paper":"/paper/2205.01580"},"outbound":[],"paper":{"arxiv_id":"2205.01580","last_updated":"2022-05-03T15:54:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T01:37:29.867606Z","submitted_at":"2022-05-03T15:54:44Z","title":"Better plain ViT baselines for ImageNet-1k"},"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 12 inbound Pith citation observations for arXiv:2205.01580."}