{"as_of":"2026-08-09T19:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:56d53c32699ce80cc467451b290ba2e2e401385903fe1c97322a656237f48324","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":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":36,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T12:22:50.097423Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1012,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2002.05709","last_updated":"2020-07-01T00:09:08Z","snapshot_observed_at":"2026-08-02T19:54:26.138356Z","submitted_at":"2020-02-13T18:50:45Z","title":"A Simple Framework for Contrastive Learning of Visual Representations","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-13T18:31:53.283456Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2002.05709"},"observation_digest":"sha256:a1a20321d9655bc4b66bed44bcd74f9f8d10650a322a98a9ca18c72f52a70102","observation_id":"1f9bce39-3f75-4799-9c3e-6bb36054654b","resolution":{"observed_at":"2026-05-13T18:31:53.318218Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2003.04297","last_updated":"2020-03-09T17:56:49Z","snapshot_observed_at":"2026-07-06T09:03:25.467987Z","submitted_at":"2020-03-09T17:56:49Z","title":"Improved Baselines with Momentum Contrastive Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-13T15:39:24.577271Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2003.04297"},"observation_digest":"sha256:1da484213f2a19ad94f4dc1e5b61ffbffdeac288874936b03d68544b4f08dffe","observation_id":"48903b49-c5af-4756-8d09-c6844c4374b3","resolution":{"observed_at":"2026-05-13T15:39:24.596088Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"reference_index":142,"source":"arxiv_source","source_observed_at":"2026-05-16T08:12:30.984870Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2309.16797"},"observation_digest":"sha256:65f97fd15bc61e1ec469dfaa8719df03ceabfc6477fecdd2b4be9d39a015f3bc","observation_id":"a0d0fe9b-3fbc-49cc-9ab0-1a5a08519011","resolution":{"observed_at":"2026-05-16T08:12:31.574853Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"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":58,"source":"arxiv_source","source_observed_at":"2026-05-12T12:40:23.709098Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2404.08471"},"observation_digest":"sha256:b6cc9c2a826a1cffc2daf654e1b171510240d2201d22602e78d4ce70f7f21e54","observation_id":"b54018d3-1586-4e00-a1a0-e27f8a86a6e6","resolution":{"observed_at":"2026-05-12T12:40:24.119837Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2412.14164","last_updated":"2024-12-18T18:58:50Z","snapshot_observed_at":"2026-08-08T15:05:21.947334Z","submitted_at":"2024-12-18T18:58:50Z","title":"MetaMorph: Multimodal Understanding and Generation via Instruction Tuning","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-05-17T07:51:12.953777Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2412.14164"},"observation_digest":"sha256:678a1e2412aa0598267cbcbbe486c089bc8ade8a267e1a41831852524db0df37","observation_id":"698a4e60-6163-4b53-b231-1cd09a985224","resolution":{"observed_at":"2026-05-17T07:51:13.323926Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-08T11:51:03.281404Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.07724","last_updated":"2025-04-17T19:27:42Z","snapshot_observed_at":"2026-08-09T01:09:53.983796Z","submitted_at":"2025-02-11T17:37:14Z","title":"Contrastive Learning for Robust Representations of Neutrino Data","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T11:51:03.281404Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2502.07724"},"observation_digest":"sha256:23bc908caa565e826cd39a8c7b7209bbfcfbeec314f2f0f0cf2888256eaa5af4","observation_id":"f72bc628-31c0-4588-bc72-a2c32e34c7a8","resolution":{"observed_at":"2026-08-08T11:51:03.281404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-07T10:26:57.500232Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.05543","last_updated":"2025-06-05T19:44:47Z","snapshot_observed_at":"2026-08-09T06:06:16.397696Z","submitted_at":"2025-06-05T19:44:47Z","title":"FRAME: Pre-Training Video Feature Representations via Anticipation and Memory","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:57.500232Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2506.05543"},"observation_digest":"sha256:711946c084a20c0ccc55e961ee8d44bdbbc9d1a2306baa18683c9fabfd025d70","observation_id":"a4c8d04b-9d96-4fb1-af2c-d3cdb9c0ef66","resolution":{"observed_at":"2026-08-07T10:26:57.500232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-06T22:26:48.981741Z","title":"Momentum contrast for unsupervised visual representation learning","venue":null,"work_id":null,"year":1911},"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":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:26:48.981741Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2506.21724"},"observation_digest":"sha256:421c1b8936a478e7cbfb0bd6dde1b6cd607cb104bbb3fe518a492de4ed8a6267","observation_id":"fd49000b-8f99-4f95-8487-a57118028363","resolution":{"observed_at":"2026-08-06T22:26:48.981741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-06T19:32:54.176374Z","title":"Girshick","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.10446","last_updated":"2025-07-15T02:06:07Z","snapshot_observed_at":"2026-08-09T07:24:10.601027Z","submitted_at":"2025-07-07T18:48:09Z","title":"Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T19:32:54.176374Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2507.10446"},"observation_digest":"sha256:8da55d2f6d647778bc34d3adc50bf38f83a26369c06c7f5ff37bd423952b23c0","observation_id":"4e3adccc-06d4-4c40-bf48-a71f01388adc","resolution":{"observed_at":"2026-08-06T19:32:54.176374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-06T04:35:08.004069Z","title":"Momentum contrast for unsupervised visual representation learning","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2508.03402","last_updated":"2025-08-05T12:50:46Z","snapshot_observed_at":"2026-08-09T08:09:36.296021Z","submitted_at":"2025-08-05T12:50:46Z","title":"SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T04:35:08.004069Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2508.03402"},"observation_digest":"sha256:4b0edea2f4b4f406e18f940d30dbc9fe9914ad0f1990ef9ebd2963349a01191c","observation_id":"5d869422-5603-4737-9f89-b37cb2418ffc","resolution":{"observed_at":"2026-08-06T04:35:08.004069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-06T01:05:29.788077Z","title":"arXiv preprint arXiv:1911.05722 (2019)","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2508.03955","last_updated":"2025-08-05T22:44:36Z","snapshot_observed_at":"2026-08-06T21:16:50.885444Z","submitted_at":"2025-08-05T22:44:36Z","title":"Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T01:05:29.788077Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2508.03955"},"observation_digest":"sha256:0c9c075d6db474ebe59771bc79a9cd14e26d67fc2c85598d2f7623e494cb3012","observation_id":"14ae10b5-f916-475f-94d6-4dfb6f048fef","resolution":{"observed_at":"2026-08-06T01:05:29.788077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-04T23:02:49.953255Z","title":"He, K., Zhang, X., Ren, S., Sun, J.,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2509.06885","last_updated":"2025-09-08T17:05:53Z","snapshot_observed_at":"2026-08-04T23:02:48.190502Z","submitted_at":"2025-09-08T17:05:53Z","title":"Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-04T23:02:49.953255Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2509.06885"},"observation_digest":"sha256:1155e0352900522cb66ec6203a3468b8dca4781f39f5fe9ec4de2396fa60e312","observation_id":"e5c5b2b2-8bf9-461a-8bab-ee15b7b42c4d","resolution":{"observed_at":"2026-08-04T23:02:49.953255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2510.16416","last_updated":"2026-05-17T05:54:56Z","snapshot_observed_at":"2026-08-02T06:39:30.995519Z","submitted_at":"2025-10-18T09:22:40Z","title":"SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-21T20:24:02.748854Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2510.16416"},"observation_digest":"sha256:93cca7707d800591d202cdff205071c06e0622d73a12d59960ea2789594ac96b","observation_id":"a750d58a-42b4-4d45-9574-e16c9db8ddec","resolution":{"observed_at":"2026-05-21T20:24:21.370745Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-04T07:04:35.134003Z","title":"arXiv preprint arXiv:1911.05722 (2019)","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2510.27249","last_updated":"2026-05-29T19:58:44Z","snapshot_observed_at":"2026-08-07T03:12:44.034389Z","submitted_at":"2025-10-31T07:32:55Z","title":"C-LEAD: Contrastive Learning for Enhanced Adversarial Defense","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T07:04:35.134003Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2510.27249"},"observation_digest":"sha256:9255adca0b82f5ccbf7e61e3d06549c7660b619056cfb192709515ad5803bc2a","observation_id":"f7855d92-419d-4ce0-b793-0f8e008be6d1","resolution":{"observed_at":"2026-08-04T07:04:35.134003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-03T18:38:20.962965Z","title":"Momentum Con- trast for Unsupervised Visual Representation Learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.04723","last_updated":"2026-07-19T20:13:00Z","snapshot_observed_at":"2026-08-07T09:48:28.794571Z","submitted_at":"2025-12-04T12:06:48Z","title":"CIG-MAE: Cross-Modal Information-Guided Masked Autoencoder for Self-Supervised WiFi Sensing","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T18:38:20.962965Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2512.04723"},"observation_digest":"sha256:177893a81fa5f010a31f0d0fd027e0175c7dbc8329a2f4da13ba4fee1d08c4a4","observation_id":"b01bb6f8-3a76-4599-951b-9c64d92faba5","resolution":{"observed_at":"2026-08-03T18:38:20.962965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2604.26057","last_updated":"2026-04-28T18:52:38Z","snapshot_observed_at":"2026-07-06T23:11:48.524898Z","submitted_at":"2026-04-28T18:52:38Z","title":"Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-07T13:50:53.553261Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2604.26057"},"observation_digest":"sha256:4e8a2c7974d2df8e73f90e2e3d2bd3012f1622f81e80b0c70e36c86a61015cf3","observation_id":"4b068d5c-ddcc-40a0-8360-bc33d49b7995","resolution":{"observed_at":"2026-05-12T08:46:25.874098Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2605.01971","last_updated":"2026-06-27T17:02:19Z","snapshot_observed_at":"2026-08-06T21:25:10.928323Z","submitted_at":"2026-05-03T17:07:54Z","title":"ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T19:35:54.358966Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2605.01971"},"observation_digest":"sha256:140042f371f9f3ae667e0ff128385ad1e238a55cd0414da274348c03b68b375c","observation_id":"31f6d4ae-e5c3-4229-8b1a-00ecc22ad040","resolution":{"observed_at":"2026-05-09T05:45:22.467697Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2605.01971","last_updated":"2026-06-27T17:02:19Z","snapshot_observed_at":"2026-08-06T21:25:10.928323Z","submitted_at":"2026-05-03T17:07:54Z","title":"ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-01T00:01:50.454576Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2605.01971"},"observation_digest":"sha256:acbd5aaa9da2666d5a184f1426ddadda89f1b8e47b81f2bf2292df55be3be9b4","observation_id":"9ca6813c-3b91-4963-9f01-49754f3c3a10","resolution":{"observed_at":"2026-07-01T00:05:09.872398Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2605.04527","last_updated":"2026-05-06T06:12:19Z","snapshot_observed_at":"2026-08-08T10:46:21.909855Z","submitted_at":"2026-05-06T06:12:19Z","title":"Velox: Learning Representations of 4D Geometry and Appearance","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-08T17:19:58.259824Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2605.04527"},"observation_digest":"sha256:8893c7bf49abcca949a23c41cde083ed2efdfd6fb243d694b9e14fe214745448","observation_id":"d50b83c4-47d2-4230-b968-8a518632c48d","resolution":{"observed_at":"2026-05-11T17:41:07.693355Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2605.11870","last_updated":"2026-05-12T09:50:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T09:50:11Z","title":"Information theoretic underpinning of self-supervised learning by clustering","version":1},"reference_index":126,"source":"arxiv_source","source_observed_at":"2026-05-13T06:22:03.439595Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2605.11870"},"observation_digest":"sha256:fc4387cc620209e90edd7871cec4b977d41c704ccccb959dc372c5a95b3d813f","observation_id":"2d8f19a1-f0fd-47b9-895a-3242b7c21408","resolution":{"observed_at":"2026-05-13T06:22:23.161436Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2605.18390","last_updated":"2026-05-18T13:38:43Z","snapshot_observed_at":"2026-07-06T23:29:14.916114Z","submitted_at":"2026-05-18T13:38:43Z","title":"Vision Foundation Models as Generalist Tokenizers for Image Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-20T11:01:24.738195Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2605.18390"},"observation_digest":"sha256:e0fc07c19207a2306b22eb5674f90dc671f565f13d7191bc31e60cb6e735fdf8","observation_id":"e56fbd35-ca4f-4507-9bc9-783a3df32da7","resolution":{"observed_at":"2026-05-20T11:03:13.423013Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2606.01443","last_updated":"2026-05-31T20:26:54Z","snapshot_observed_at":"2026-08-07T15:23:37.083052Z","submitted_at":"2026-05-31T20:26:54Z","title":"UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T17:15:10.206481Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2606.01443"},"observation_digest":"sha256:a10e5ef1cb9a69b2d39884be637885bd3c55d971fcd33f6bab88f6ceda80cad7","observation_id":"40cfe652-9333-4ed6-88a4-245f1e1fbf3c","resolution":{"observed_at":"2026-07-01T21:16:14.354000Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2606.05068","last_updated":"2026-06-03T16:29:44Z","snapshot_observed_at":"2026-07-06T23:45:06.925235Z","submitted_at":"2026-06-03T16:29:44Z","title":"MaCo-GAN: Manifold-Contrastive Adversarial Learning for Single Image Super-Resolution","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T06:53:27.042821Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2606.05068"},"observation_digest":"sha256:ff72b9f32cf0c610aef11fe0ee699d2a5a63bdd655a6e1fc9ac26b80c032fa1e","observation_id":"5db71204-1bad-4e10-94b8-1a15b868137c","resolution":{"observed_at":"2026-07-02T07:36:44.770705Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2606.06624","last_updated":"2026-06-08T15:12:03Z","snapshot_observed_at":"2026-08-02T09:46:22.331867Z","submitted_at":"2026-06-04T18:21:03Z","title":"Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-28T03:07:52.730713Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2606.06624"},"observation_digest":"sha256:97c26fee89777c4d0c743fcc3f36cfb62b442c6d19b9947a83946223ad6b5ef4","observation_id":"2d6b0f3d-2360-4447-822e-81b8cbaccaac","resolution":{"observed_at":"2026-07-02T11:46:55.328090Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2606.07775","last_updated":"2026-06-05T18:39:05Z","snapshot_observed_at":"2026-08-01T14:22:40.843837Z","submitted_at":"2026-06-05T18:39:05Z","title":"DALE-CT: Depth-Aware Foundation Models for Computed Tomography","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T22:01:31.457583Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2606.07775"},"observation_digest":"sha256:028873514e2cebc07d306809a5a71a4a6ade0add2c34896be31c3960a1e74ecc","observation_id":"2b3e8105-8e90-4ff4-953a-b29b070b381e","resolution":{"observed_at":"2026-07-02T17:27:15.452800Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2606.12215","last_updated":"2026-06-10T15:29:45Z","snapshot_observed_at":"2026-07-06T23:51:13.191639Z","submitted_at":"2026-06-10T15:29:45Z","title":"MLT-Dedup: Efficient Large-Scale Online Video Deduplication via Multi-Level Representations and Spatial-Temporal Matching","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T09:43:22.054789Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2606.12215"},"observation_digest":"sha256:d840c80e9f16850a04930e88a2d23c15fa254bf312c2c8f67fb66ee6a3735bf0","observation_id":"7aa2bcf5-66cf-4b4f-b9ac-370e12fa17ae","resolution":{"observed_at":"2026-07-03T11:08:02.912391Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2606.17978","last_updated":"2026-06-16T14:30:09Z","snapshot_observed_at":"2026-08-08T05:34:29.913106Z","submitted_at":"2026-06-16T14:30:09Z","title":"MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectories","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T00:48:42.411767Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2606.17978"},"observation_digest":"sha256:37134749155286fb095db91f198c516a80805057fc60af53319f3e8b848ef736","observation_id":"70b11f3a-42cc-42cd-a84e-80280dcaa3ef","resolution":{"observed_at":"2026-06-27T00:50:19.763566Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2606.26059","last_updated":"2026-06-24T17:33:41Z","snapshot_observed_at":"2026-08-02T17:59:39.830743Z","submitted_at":"2026-06-24T17:33:41Z","title":"A welding penetration prediction model for laser welding process based on self-supervised learning using physics-informed neural networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-25T19:26:37.834653Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2606.26059"},"observation_digest":"sha256:f0269dc520186dc864080a3a7cc68aaba5724c9f1ab14b6b703799f267a0e71f","observation_id":"c162c842-88d7-42d7-9759-e868481c53f0","resolution":{"observed_at":"2026-06-25T19:28:16.801336Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":"1911.05722","doi":"10.48550/arxiv.1911.05722","metadata_source":"arxiv_reference","pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Momentum contrast for unsupervised visual representation learning","venue":"arXiv (Cornell University)","work_id":"7baa43ae-6df4-44d0-8bb0-138797a922b6","year":2020},"citing_paper":{"arxiv_id":"2607.00958","last_updated":"2026-07-01T13:56:21Z","snapshot_observed_at":"2026-07-07T00:06:35.457630Z","submitted_at":"2026-07-01T13:56:21Z","title":"LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-02T15:32:42.523362Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2607.00958"},"observation_digest":"sha256:82a39ac9bb8327f072de1c221919cb40867130d88db6f111b076169b87418a09","observation_id":"720e876f-7ebd-4309-ba90-2480b6d05c54","resolution":{"observed_at":"2026-07-02T15:37:06.010592Z","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":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-07-12T05:36:37.592335Z","title":"org/abs/1911.05722","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2607.02990","last_updated":"2026-07-03T05:56:24Z","snapshot_observed_at":"2026-08-09T16:16:02.113385Z","submitted_at":"2026-07-03T05:56:24Z","title":"MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T05:36:37.592335Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2607.02990"},"observation_digest":"sha256:81eb1854c4cc00b37b1adc2d9d96c9da313bd478d82c5f75d38ec3ea262dc7a9","observation_id":"7a190d70-3b7e-444b-b30c-ce3908afc713","resolution":{"observed_at":"2026-07-12T05:36:37.592335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-07-11T19:52:10.091159Z","title":"In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR) (2020),https: //arxiv.org/abs/1911.05722","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.04353","last_updated":"2026-07-05T15:18:12Z","snapshot_observed_at":"2026-08-04T13:11:42.243473Z","submitted_at":"2026-07-05T15:18:12Z","title":"HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-11T19:52:10.091159Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2607.04353"},"observation_digest":"sha256:bc2fea4e2386f23b73f3f5d7326227ce94308887d39a58463e9c8cfd5355835d","observation_id":"40114955-e3c1-4c58-8c92-d380c23ce182","resolution":{"observed_at":"2026-07-11T19:52:10.091159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-07-14T14:48:47.932795Z","title":"Girshick","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2607.09888","last_updated":"2026-07-10T18:27:23Z","snapshot_observed_at":"2026-07-31T07:00:52.054752Z","submitted_at":"2026-07-10T18:27:23Z","title":"Bridging the Catalog-to-Real Gap: Scalable Product Recognition via Multi-Stage Contrastive Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T14:48:47.932795Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2607.09888"},"observation_digest":"sha256:092995a33e5ecb3db605f15b2115e2543c688330ff566a2dbc490b15f6c7cc09","observation_id":"7bb59837-731e-4bff-989d-ddd3650cb05e","resolution":{"observed_at":"2026-07-14T14:48:47.932795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-01T04:30:04.918635Z","title":"arXiv e-prints, art , author=","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2607.22531","last_updated":"2026-07-24T17:59:39Z","snapshot_observed_at":"2026-08-07T13:04:18.211748Z","submitted_at":"2026-07-24T17:59:39Z","title":"Twins: Learn to Predict Unified Representations with Focal Loss","version":1},"reference_index":205,"source":"arxiv_source","source_observed_at":"2026-08-01T04:30:04.918635Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2607.22531"},"observation_digest":"sha256:5680730fe2ff8aa9d0d83908075e8dbdaae635fada260a2e201d54704a68bdfb","observation_id":"92343e5b-3985-4c5b-ad49-dee7cf6895a9","resolution":{"observed_at":"2026-08-01T04:30:04.918635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-01T09:52:18.697234Z","title":"arXiv preprint arXiv:1911.05722 , year=","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2607.27308","last_updated":"2026-07-29T17:49:04Z","snapshot_observed_at":"2026-08-05T10:53:49.344314Z","submitted_at":"2026-07-29T17:49:04Z","title":"ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution","version":1},"reference_index":275,"source":"arxiv_source","source_observed_at":"2026-08-01T09:52:18.697234Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2607.27308"},"observation_digest":"sha256:d9f333055153c432e97d6c33ad835bd7c974e972cb743ed0a6f201a7a5366736","observation_id":"989f113e-bdfd-4eda-8c72-96ebb9beab0d","resolution":{"observed_at":"2026-08-01T09:52:18.697234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-04T04:31:48.764224Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning.arXiv e-prints, page arXiv:1911.05722, November 2019","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2608.02573","last_updated":"2026-08-03T17:49:40Z","snapshot_observed_at":"2026-08-08T09:09:06.432222Z","submitted_at":"2026-08-03T17:49:40Z","title":"Foundation Models for Astrophysics","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T04:31:48.764224Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2608.02573"},"observation_digest":"sha256:68d9f39429b505fe89a0b135c87147e965bb57a570465ae13e2346d0c0ea9ed4","observation_id":"73c26f2a-b514-4766-b00d-e4670ddd5811","resolution":{"observed_at":"2026-08-04T04:31:48.764224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05722","snapshot_observed_at":"2026-08-08T12:22:50.097423Z","title":"Momentum contrast for unsupervised visual representation learning, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.05481","last_updated":"2026-08-06T00:06:10Z","snapshot_observed_at":"2026-08-09T19:11:26.260830Z","submitted_at":"2026-08-06T00:06:10Z","title":"From Local Learning to Global Prediction Through Layered Surprise Cascades","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T12:22:50.097423Z"},"links":{"cited_paper":"/paper/1911.05722","citing_paper":"/paper/2608.05481"},"observation_digest":"sha256:d5150f8febf655c7fe9d15b437c3d8fd98930107c67a8d5ed013145db57d0d2b","observation_id":"0d11b447-ce0f-4631-9649-7c062773fedc","resolution":{"observed_at":"2026-08-08T12:22:50.097423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1911.05722/citation-record","integrity":"/paper/1911.05722/integrity","json":"/paper/1911.05722/citation-record.json","paper":"/paper/1911.05722"},"outbound":[],"paper":{"arxiv_id":"1911.05722","last_updated":"2020-03-23T18:36:55Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T08:36:48.869880Z","submitted_at":"2019-11-13T18:53:26Z","title":"Momentum Contrast for Unsupervised Visual Representation Learning"},"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 36 inbound Pith citation observations for arXiv:1911.05722."}