{"as_of":"2026-08-11T03:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:11068ed3d320bf792d5a51756e4ba8d14a41ac439059f25b0f3d255680344fce","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T17:24:21.572960Z","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":"2026-05-20T11:33:14.530648Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild","version":2},"cited_work":{"arxiv_id":"2103.01988","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01988","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Self- supervised pretraining of visual features in the wild.CoRR, abs/2103.01988","venue":null,"work_id":"f483bb61-86b3-4279-93e0-fa511f96f046","year":2021},"citing_paper":{"arxiv_id":"2104.14294","last_updated":"2021-05-24T17:49:18Z","snapshot_observed_at":"2026-08-04T11:32:10.695202Z","submitted_at":"2021-04-29T12:28:51Z","title":"Emerging Properties in Self-Supervised Vision Transformers","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-16T14:04:51.458382Z"},"links":{"cited_paper":"/paper/2103.01988","citing_paper":"/paper/2104.14294"},"observation_digest":"sha256:0d6cc69a15fc154dda6475e88d5cd815e6d9ebc55de5aa16b05174d6f5d710e5","observation_id":"9e417d10-be46-4dd2-ae99-d42e0a8ab2a2","resolution":{"observed_at":"2026-05-16T14:04:51.561216Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild","version":2},"cited_work":{"arxiv_id":"2103.01988","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01988","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Self- supervised pretraining of visual features in the wild.CoRR, abs/2103.01988","venue":null,"work_id":"f483bb61-86b3-4279-93e0-fa511f96f046","year":2021},"citing_paper":{"arxiv_id":"2111.06377","last_updated":"2021-12-19T19:23:25Z","snapshot_observed_at":"2026-07-31T02:35:46.853381Z","submitted_at":"2021-11-11T18:46:40Z","title":"Masked Autoencoders Are Scalable Vision Learners","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-16T06:53:57.519348Z"},"links":{"cited_paper":"/paper/2103.01988","citing_paper":"/paper/2111.06377"},"observation_digest":"sha256:089e7d15c72ef392954c594e6c1224b9f703b1ef06a0c9ee2b89f2b77e70e6c7","observation_id":"54948bfd-c6f3-42f5-b304-e6cef5a6b04f","resolution":{"observed_at":"2026-05-16T06:53:57.588388Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild","version":2},"cited_work":{"arxiv_id":"2103.01988","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01988","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Self- supervised pretraining of visual features in the wild.CoRR, abs/2103.01988","venue":null,"work_id":"f483bb61-86b3-4279-93e0-fa511f96f046","year":2021},"citing_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-09T18:02:17.307812Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-09T04:17:19.878360Z"},"links":{"cited_paper":"/paper/2103.01988","citing_paper":"/paper/2304.07193"},"observation_digest":"sha256:83fe96b071b76c8776b1fa2d4639b4e4417127d3dc3a5d9ef8e53e43ec1dbf92","observation_id":"9976cf06-4437-4342-ba15-fce8aad4bc35","resolution":{"observed_at":"2026-05-09T04:17:20.403346Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild","version":2},"cited_work":{"arxiv_id":"2103.01988","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01988","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Self- supervised pretraining of visual features in the wild.CoRR, abs/2103.01988","venue":null,"work_id":"f483bb61-86b3-4279-93e0-fa511f96f046","year":2021},"citing_paper":{"arxiv_id":"2309.16588","last_updated":"2024-04-12T09:38:33Z","snapshot_observed_at":"2026-08-07T09:40:32.614733Z","submitted_at":"2023-09-28T16:45:46Z","title":"Vision Transformers Need Registers","version":2},"reference_index":173,"source":"arxiv_source","source_observed_at":"2026-05-13T09:41:37.937046Z"},"links":{"cited_paper":"/paper/2103.01988","citing_paper":"/paper/2309.16588"},"observation_digest":"sha256:119478f9f748a26e6c90fd534cdfcb49cb731d0b3524822d2840331cc56b39c5","observation_id":"e76c8729-e735-4661-808f-e9d4a13dab9f","resolution":{"observed_at":"2026-05-13T09:41:38.135772Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.01988","snapshot_observed_at":"2026-08-10T17:24:21.572960Z","title":"Self-supervised pretraining of visual features in the wild","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.12275","last_updated":"2025-01-21T16:44:51Z","snapshot_observed_at":"2026-08-11T03:54:54.874838Z","submitted_at":"2025-01-21T16:44:51Z","title":"With Great Backbones Comes Great Adversarial Transferability","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T17:24:21.572960Z"},"links":{"cited_paper":"/paper/2103.01988","citing_paper":"/paper/2501.12275"},"observation_digest":"sha256:a217ee61c284960e34c1253813dc02b9f55c796ac7a97ad01314aafa536c70e2","observation_id":"999382db-68b4-4e43-b178-62937d739532","resolution":{"observed_at":"2026-08-10T17:24:21.572960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.01988","snapshot_observed_at":"2026-08-06T22:26:21.193968Z","title":"Self-supervised pretraining of visual features in the wild","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.21724","last_updated":"2025-06-26T19:17:10Z","snapshot_observed_at":"2026-08-09T10:38:25.225141Z","submitted_at":"2025-06-26T19:17:10Z","title":"Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:26:21.193968Z"},"links":{"cited_paper":"/paper/2103.01988","citing_paper":"/paper/2506.21724"},"observation_digest":"sha256:b9945fb13e23d0f26e16b919ab186c7f293bb70eb0dc09ac5cc26bc8fd4b07e4","observation_id":"ad5a2a15-1aa0-4000-b298-8cfb9e95ff1a","resolution":{"observed_at":"2026-08-06T22:26:21.193968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild","version":2},"cited_work":{"arxiv_id":"2103.01988","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01988","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Self- supervised pretraining of visual features in the wild.CoRR, abs/2103.01988","venue":null,"work_id":"f483bb61-86b3-4279-93e0-fa511f96f046","year":2021},"citing_paper":{"arxiv_id":"2507.14137","last_updated":"2026-04-25T14:06:10Z","snapshot_observed_at":"2026-07-06T21:59:25.077202Z","submitted_at":"2025-07-18T17:59:55Z","title":"Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning","version":4},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-19T03:39:52.969100Z"},"links":{"cited_paper":"/paper/2103.01988","citing_paper":"/paper/2507.14137"},"observation_digest":"sha256:107b41c89b4f49b9fb683806b1ab539a960cc209e765f469b7ebe8180643287d","observation_id":"147f233f-dde0-4a49-88b3-552b9c793b2c","resolution":{"observed_at":"2026-05-19T03:42:01.358956Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild","version":2},"cited_work":{"arxiv_id":"2103.01988","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2103.01988","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Self- supervised pretraining of visual features in the wild.CoRR, abs/2103.01988","venue":null,"work_id":"f483bb61-86b3-4279-93e0-fa511f96f046","year":2021},"citing_paper":{"arxiv_id":"2605.18491","last_updated":"2026-05-18T14:41:55Z","snapshot_observed_at":"2026-08-06T08:31:16.004305Z","submitted_at":"2026-05-18T14:41:55Z","title":"Benchmarking transferability of SSL pretraining to same and different modality segmentation tasks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-20T11:29:45.324528Z"},"links":{"cited_paper":"/paper/2103.01988","citing_paper":"/paper/2605.18491"},"observation_digest":"sha256:155de7141984f86f837472fd42f537d08d5e63a85f9040e7c5c29e76a48ff3f9","observation_id":"2d49248b-3cfe-410f-9321-b3c660e11bf4","resolution":{"observed_at":"2026-05-20T11:33:14.532367Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2103.01988/citation-record","integrity":"/paper/2103.01988/integrity","json":"/paper/2103.01988/citation-record.json","paper":"/paper/2103.01988"},"outbound":[],"paper":{"arxiv_id":"2103.01988","last_updated":"2021-03-05T13:53:36Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T12:30:08.783539Z","submitted_at":"2021-03-02T19:12:29Z","title":"Self-supervised Pretraining of Visual Features in the Wild"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2103.01988."}