{"as_of":"2026-08-09T15:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0aa888d3137fbd3e155ab343e903213ddd2ee4be50a5cce51721c3172bf3e645","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:34:38.518026Z","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":"2026-05-23T19:03:21.245816Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":"2112.10740","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Are large-scale datasets necessary for self- supervised pre-training?","venue":null,"work_id":"ebb5aadf-13fe-42ba-b59b-fb22aab65932","year":2021},"citing_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-06T05:58:29.182448Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-09T04:17:19.878360Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2304.07193"},"observation_digest":"sha256:05aad90b5d3a6fae262b2eab0452472d54a4bff796c2eda98ae3037657134e3e","observation_id":"9b809046-68ed-42d5-914a-67591100a026","resolution":{"observed_at":"2026-05-09T04:17:20.390653Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":"2112.10740","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Are large-scale datasets necessary for self- supervised pre-training?","venue":null,"work_id":"ebb5aadf-13fe-42ba-b59b-fb22aab65932","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":51,"source":"arxiv_source","source_observed_at":"2026-05-13T09:41:37.937046Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2309.16588"},"observation_digest":"sha256:fa6246d1cb29dfa5f3b26487b57745f83902d5f7c34c353223935187caae933b","observation_id":"30f8c07b-fdad-4a53-921e-6d99e4493495","resolution":{"observed_at":"2026-05-13T09:41:38.194658Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":"2112.10740","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Are large-scale datasets necessary for self- supervised pre-training?","venue":null,"work_id":"ebb5aadf-13fe-42ba-b59b-fb22aab65932","year":2021},"citing_paper":{"arxiv_id":"2404.08471","last_updated":"2024-02-15T18:59:11Z","snapshot_observed_at":"2026-08-07T02:30:11.447693Z","submitted_at":"2024-02-15T18:59:11Z","title":"Revisiting Feature Prediction for Learning Visual Representations from Video","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-05-12T12:40:23.709098Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2404.08471"},"observation_digest":"sha256:90c5a0798b7bc650bb90195e9668e680a43dd4686d6f66c04f672df3806b5f97","observation_id":"edab0a12-b559-464a-b680-b8a34155b975","resolution":{"observed_at":"2026-05-12T12:40:24.016843Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":"2112.10740","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Are large-scale datasets necessary for self- supervised pre-training?","venue":null,"work_id":"ebb5aadf-13fe-42ba-b59b-fb22aab65932","year":2021},"citing_paper":{"arxiv_id":"2410.07442","last_updated":"2024-10-11T08:46:46Z","snapshot_observed_at":"2026-08-03T04:31:54.832250Z","submitted_at":"2024-10-09T21:19:52Z","title":"Self-Supervised Learning for Real-World Object Detection: a Survey","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-23T19:02:11.415329Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2410.07442"},"observation_digest":"sha256:09d8030004234e80efde262c8d5f234525ffea2f8f24ce72f5197111a76a2c8f","observation_id":"11b0e8b7-e7d3-4dfa-8c23-8c3ce540632f","resolution":{"observed_at":"2026-05-23T19:03:21.249645Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-08-06T15:06:40.934347Z","title":"El - Nouby, G","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.16803","last_updated":"2025-07-22T17:52:35Z","snapshot_observed_at":"2026-08-06T14:58:56.144207Z","submitted_at":"2025-07-22T17:52:35Z","title":"MultiTaskDeltaNet: Change Detection-based Image Segmentation for Operando ETEM with Application to Carbon Gasification Kinetics","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T15:06:40.934347Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2507.16803"},"observation_digest":"sha256:644c59cd5e56c4d384b45e732048f693e62ad095ce45082b22d6b44872fd6639","observation_id":"47874451-c77a-46ef-b375-25659d7bd3b9","resolution":{"observed_at":"2026-08-06T15:06:40.934347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-08-05T11:31:41.927722Z","title":"Are large-scale datasets necessary for self-supervised pre-training? arXiv preprint arXiv:2112.10740, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.06990","last_updated":"2025-09-02T18:48:14Z","snapshot_observed_at":"2026-08-09T07:32:39.957353Z","submitted_at":"2025-09-02T18:48:14Z","title":"DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T11:31:41.927722Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2509.06990"},"observation_digest":"sha256:2152d11a86f84eb98c79dbf1b7e9b5c323a6755ea8831f77eefcb36bfc504350","observation_id":"4b88302a-e653-41c0-a9e2-9ea8b196e149","resolution":{"observed_at":"2026-08-05T11:31:41.927722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-08-03T22:16:16.678094Z","title":"Are large-scale datasets necessary for self-supervised pre-training?arXiv preprint arXiv:2112.10740, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.11270","last_updated":"2026-06-30T13:53:11Z","snapshot_observed_at":"2026-08-08T04:59:23.110458Z","submitted_at":"2025-11-14T13:05:10Z","title":"{\\Phi}eat: Physically Grounded Material Feature Representation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T22:16:16.678094Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2511.11270"},"observation_digest":"sha256:3c586563eef1e3d6c9dd22fb58fb26f1c424e90ee3beab377f386dd15ff89268","observation_id":"21c33f00-daf4-44aa-8c1a-708bc82de2e6","resolution":{"observed_at":"2026-08-03T22:16:16.678094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":"2112.10740","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Are large-scale datasets necessary for self- supervised pre-training?","venue":null,"work_id":"ebb5aadf-13fe-42ba-b59b-fb22aab65932","year":2021},"citing_paper":{"arxiv_id":"2605.21070","last_updated":"2026-05-20T11:56:15Z","snapshot_observed_at":"2026-07-06T23:31:32.577242Z","submitted_at":"2026-05-20T11:56:15Z","title":"Towards Understanding Self-Pretraining for Sequence Classification","version":1},"reference_index":145,"source":"arxiv_source","source_observed_at":"2026-05-21T05:29:58.809024Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2605.21070"},"observation_digest":"sha256:79dc19f6c6e118a1cb09ca7d892ec4bada0399f74698d5dbaba7025fb6e9ec01","observation_id":"c88b562d-78fa-47ec-9032-ceba5da8205d","resolution":{"observed_at":"2026-05-21T05:33:58.938863Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-08-07T14:34:38.518026Z","title":"Are large-scale datasets necessary for self-supervised pre-training?","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06122","last_updated":"2026-08-06T14:53:23Z","snapshot_observed_at":"2026-08-09T14:12:14.377769Z","submitted_at":"2026-08-06T14:53:23Z","title":"Is Self-Pretraining really useful to improve diagnosis in medical Time Series?","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:38.518026Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2608.06122"},"observation_digest":"sha256:95e5c51e8e42d1cb5bde05ce4d1178cdecfb3ffa49ad2e14cd9c8bb581ac3783","observation_id":"065bcea7-6fdb-405c-82d2-ba0a1f4f4160","resolution":{"observed_at":"2026-08-07T14:34:38.518026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2112.10740/citation-record","integrity":"/paper/2112.10740/integrity","json":"/paper/2112.10740/citation-record.json","paper":"/paper/2112.10740"},"outbound":[],"paper":{"arxiv_id":"2112.10740","last_updated":"2021-12-20T18:41:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2112.10740."}