{"as_of":"2026-08-18T02:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3eb65ba94cbe2575a8e09e353b056139c7fea028f850ec9442e65a7573601bce","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:22:31.359799Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T20:45:15.226889Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2505.22196","doi":"10.48550/arxiv.2505.22196","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.22196","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"ArXiv.org","work_id":"beb6674c-a99d-4750-873a-b7b6a8bb5b8c","year":null},"citing_paper":{"arxiv_id":"2606.19594","last_updated":"2026-06-17T20:56:44Z","snapshot_observed_at":"2026-08-02T12:17:21.328593Z","submitted_at":"2026-06-17T20:56:44Z","title":"Unsupervised Causal Abstractions Discovery","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-26T20:45:15.226889Z"},"links":{"cited_paper":"/paper/2505.22196","citing_paper":"/paper/2606.19594"},"observation_digest":"sha256:3dbc8cfa5fadd58f93ecc126bfbb0c66c80ad4cefef823e30298fa511b3f9802","observation_id":"f49a82f4-669c-4472-a356-e8599372902e","resolution":{"observed_at":"2026-06-26T20:49:57.348562Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.22196/citation-record","integrity":"/paper/2505.22196/integrity","json":"/paper/2505.22196/citation-record.json","paper":"/paper/2505.22196"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:37.569418Z","title":"Sequence-to-sequence contrastive learning for text recognition","venue":null,"work_id":"8664bf43-a451-4760-8841-62e814ecd40c","year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:28.408943Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:50452ecc6b2c17f761c6f2c6e5a07848dc27c4a2046e2e55f8b138360b5e70a5","observation_id":"45786dde-da0d-4c80-8e27-b797d69ce996","resolution":{"observed_at":"2026-08-07T13:22:37.670007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:37.395510Z","title":"A theoretical analysis of contrastive unsupervised representation learning","venue":null,"work_id":"73db7dee-8c0f-41f7-8c4e-df73dcd7725d","year":2019},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:28.483371Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:36d1a9f4dbe0ebb0eabeabd4f57b57ddfcc072e77085ba6962c89a0820ae1d8e","observation_id":"5eb19315-3718-4b44-8330-303c7181b466","resolution":{"observed_at":"2026-08-07T13:22:37.499264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:37.195158Z","title":"Investigating the role of negatives in contrastive representation learning","venue":null,"work_id":"fb60b7ad-2406-41ba-898d-e09fc1950bc3","year":2022},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:28.568525Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:e17d621761b74e2c50865943c8b3436af00bcf80e0196bb4b713b1ea3e997b38","observation_id":"9ecdf7de-b26b-4002-82e0-9e4014a6f215","resolution":{"observed_at":"2026-08-07T13:22:37.312262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:36.979285Z","title":"On the surrogate gap between contrastive and supervised losses","venue":null,"work_id":"e04c6dbf-7515-4140-8ab2-c7d9ec669281","year":2022},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:28.630886Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:e566ef844d2854c97767dd89835be84ea3d47ca2a22504a289a1d70451a91b2d","observation_id":"123180e0-76e6-4ea1-8b39-f922d1193d39","resolution":{"observed_at":"2026-08-07T13:22:37.090646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:36.687262Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"7e1f27d2-9036-4f73-9651-58f93fc9d91b","year":2020},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:28.729285Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:805eef75ca4e214870bebb8d2dcece2cf23fa3d5f8aafed60d822451693993c6","observation_id":"897ec1cf-a322-4c50-aa14-15ef7c941525","resolution":{"observed_at":"2026-08-07T13:22:36.826984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:36.457060Z","title":"and He, K","venue":null,"work_id":"6528e53b-2871-491f-844a-540fe14419ab","year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:28.873041Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:23e8627d836c2685b2a0c863809e8f531bd78b01418018f939605cd50a67ee8b","observation_id":"3be03ea8-ef1f-4dc4-8660-ff248a8bc67a","resolution":{"observed_at":"2026-08-07T13:22:36.529232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.04297","snapshot_observed_at":"2026-08-07T13:22:28.955433Z","title":"Improved baselines with momentum contrastive learning","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:28.955433Z"},"links":{"cited_paper":"/paper/2003.04297","citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:aa8fbe0d5e7b0781932ec2d49c964d84cee1ab6c8874592d26c80c93e6d84012","observation_id":"2ed5a104-2161-4e24-a44c-4707d45ad093","resolution":{"observed_at":"2026-08-07T13:22:28.955433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.02057","last_updated":"2021-08-16T17:40:21Z","snapshot_observed_at":"2026-08-16T18:33:46.863133Z","submitted_at":"2021-04-05T17:59:40Z","title":"An Empirical Study of Training Self-Supervised Vision Transformers","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.02057","snapshot_observed_at":"2026-08-07T13:22:29.010114Z","title":"An empirical study of training self-supervised vision transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.010114Z"},"links":{"cited_paper":"/paper/2104.02057","citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:efba27b250fa834cab65e74d288db4b5787409a406560649c3ca09a36837385d","observation_id":"97ce9b05-cb7c-4620-98da-8e97e7d10f55","resolution":{"observed_at":"2026-08-07T13:22:29.010114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:36.127481Z","title":"Rethinking weak supervision in helping contrastive learning","venue":null,"work_id":"5e022c4e-ec92-4f31-a6da-9990a58392b1","year":2023},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.087842Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:ed853cad827f1fe3a48cdd8fc0d7abe9f2213a624835d3b7aca4f7e06af58185","observation_id":"993a5f03-017d-49cd-8397-1cfba386f72e","resolution":{"observed_at":"2026-08-07T13:22:36.290917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:35.844328Z","title":"Bootstrap your own latent-a new approach to self-supervised learning","venue":null,"work_id":"adac90f5-5e34-4c01-bc17-1f3814ed1189","year":2020},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.171132Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:1d6435d2dc92717ef59ab73a1f65deaddfb89b02fd3b7af76805d717e8da6dac","observation_id":"14dadc3c-1838-448f-a6d0-adaa56763719","resolution":{"observed_at":"2026-08-07T13:22:35.984271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:35.588042Z","title":"Z., Wei, C., Gaidon, A., and Ma, T","venue":null,"work_id":"2de893c6-27bd-442a-b5ff-ae299db94f1a","year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.283614Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:49b3dac23293de0422a0c7a8ac12c8b82d14e10e48dd1d5380ef27ef56c18d7e","observation_id":"81754024-b576-4d02-bc88-e0161d023fbb","resolution":{"observed_at":"2026-08-07T13:22:35.696949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:35.364080Z","title":"Momentum contrast for unsupervised visual representation learning","venue":null,"work_id":"881ffa6c-44ff-4e7d-83d0-18d3a20809c0","year":2020},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.369739Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:ebcf8baec949cfb33f7861bc98b6f41fd0c0415f10e6eb4957a94c0707d73d8c","observation_id":"c2c7da39-ae90-46d2-910c-b361206f88ab","resolution":{"observed_at":"2026-08-07T13:22:35.467038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:35.154277Z","title":"Your contrastive learning is secretly doing stochastic neighbor embedding","venue":null,"work_id":"29c9f311-7743-4949-8d71-3a832de1e0e2","year":2023},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.414575Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:07f7b8fe12feb00a3de987424dcfa1dac6da51c00c88330ee1e137f7f612fa58","observation_id":"19269d16-467f-4c89-aec9-72442506dda6","resolution":{"observed_at":"2026-08-07T13:22:35.244139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:34.919304Z","title":"Towards the generalization of contrastive self-supervised learning","venue":null,"work_id":"94178e78-ed64-4f19-8997-e236435b86b6","year":2023},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.470726Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:a53667f1359041f311230eadaa7ceea894b6a4a4dfe893e7d2e8e3b7fc686319","observation_id":"857874ea-cf7d-4171-b416-1cda33323197","resolution":{"observed_at":"2026-08-07T13:22:35.070223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:34.563446Z","title":"Contrastive self-supervised learning for sensor-based human activity recognition","venue":null,"work_id":"b31d6ffe-5f77-44ea-b4a6-e9a30035689b","year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.558584Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:ebba5c5f3e149a19d2cae8f041a4936b03eefb2b7f4e3bf338cc565fc0785f51","observation_id":"2d109d02-1851-41e4-9a1b-642765b340d6","resolution":{"observed_at":"2026-08-07T13:22:34.736872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:34.275372Z","title":"Revisiting contrastive learning through the lens of neighborhood component analysis: an integrated framework","venue":null,"work_id":"9611f4e4-6d95-441a-bb91-ec0f4ab9b0b1","year":2022},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.688341Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:da02fd14f999d8264bd07c6603b2e670d7e7eb68c694ddbacd7746ef6c1fceef","observation_id":"41b1fb82-9c37-4983-b88c-e572b0b2b86b","resolution":{"observed_at":"2026-08-07T13:22:34.390717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:34.094763Z","title":null,"venue":null,"work_id":"4170ea33-c754-4d07-ad00-8b6f850a734b","year":1984},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.782033Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:58ab18bcb4f1006ee83c277a0cb01fba1177a2f0ea5408d4aafb3c9307fa249c","observation_id":"03e23a4e-459e-4311-840f-0852b0025e84","resolution":{"observed_at":"2026-08-07T13:22:34.171353Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:33.846112Z","title":"Learning to discriminate information for online action detection: Analysis and application","venue":null,"work_id":"e7ed95ec-2e97-45aa-bc8c-ef4783d1d475","year":2022},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.906921Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:7394c33beba3bbebfd7aab76dfb81133f60c8f9e1f0c58b47e086e5dd4325203","observation_id":"fbcf334b-cd90-459c-936a-d55c92d17043","resolution":{"observed_at":"2026-08-07T13:22:34.019984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:33.614468Z","title":"Generalization analysis for contrastive representation learning","venue":null,"work_id":"8be6f563-f4bc-4939-8a80-3beccc237966","year":2023},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:29.999035Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:ccf6203ee6099d3cf8652c09cabc803ed77b8be11d56a667fe97f8255c73bf4b","observation_id":"85b4fd1a-c54a-44db-ba2e-9c91048ada72","resolution":{"observed_at":"2026-08-07T13:22:33.765372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:33.363990Z","title":"and Sato, I","venue":null,"work_id":"bf73a5bd-88f0-44e4-9526-5237f3fa3794","year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.114152Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:4c7d5d6570e0fe8e467d9f401560cd551b783d2add5d52dd98012dd2c3fde381","observation_id":"eaa0a6ce-2e89-46fd-a079-3b5231a1e243","resolution":{"observed_at":"2026-08-07T13:22:33.455683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:30.235326Z","title":"W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.235326Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:173a3344a2001a1c4a066ad469ea346b7cedd387be8aeb5fcc60bdb2b638cb6b","observation_id":"38eb7699-db93-43ae-9ccf-3802bcaf1638","resolution":{"observed_at":"2026-08-07T13:22:30.235326Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:33.145927Z","title":"M., Kumar, A., Xie, S","venue":null,"work_id":"fb7f5e7c-8619-43bc-905e-7e264d580c32","year":2022},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.358233Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:67d4a9a75a90e52e9f3ebbce0ce6e331af982a9f6131ee3373cbf18429fd459d","observation_id":"dd8b098c-5b3a-4785-a106-2bf9e8a06b94","resolution":{"observed_at":"2026-08-07T13:22:33.241793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:32.903914Z","title":"What makes for good views for contrastive learning? NeurIPS, 2020","venue":null,"work_id":"3ae006a6-2d19-44cc-b7b2-f62d99c5be7c","year":2020},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.465692Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:798c89041dde1ec6a361b0baf480a91890d6e56aaac35f92f6d35dd57cba439c","observation_id":"5ee6c7a0-a09b-422c-a6e4-bf5d39402e0f","resolution":{"observed_at":"2026-08-07T13:22:33.016749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:32.653986Z","title":"and Isola, P","venue":null,"work_id":"c5529ba6-70de-4cb8-ac40-85f36a6330f9","year":2020},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.579831Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:9b6aaef2909997a9bb6860a42289821b06190543d20633aecaf7c67ba6877b3d","observation_id":"d943a861-4342-4169-a9b4-f4e4d076b442","resolution":{"observed_at":"2026-08-07T13:22:32.774584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:32.482187Z","title":"Chaos is a ladder: A new theoretical understanding of contrastive learning via augmentation overlap","venue":null,"work_id":"873bdea2-3bb9-452a-a1c7-1121aa309c9c","year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.676040Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:2c5bf33566dabdfcea81477640d29cb78e675b4d43e1f62747ae91ba5a40b81a","observation_id":"91b3a973-cb6f-495a-b343-88f55037d3fc","resolution":{"observed_at":"2026-08-07T13:22:32.544120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:32.300245Z","title":"A message passing perspective on learning dynamics of contrastive learning","venue":null,"work_id":"654e7a5f-59b3-4bb5-b90e-c21f233efa16","year":2023},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.774190Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:4e6e6ef79aa97a0331179be07bf026d066162a10f4ca6ed457b8ff9f03868630","observation_id":"da9d1ed6-b2a7-4172-9a76-25db9486d58f","resolution":{"observed_at":"2026-08-07T13:22:32.368746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:32.159278Z","title":"Non-negative contrastive learning","venue":null,"work_id":"b82f7c14-08e0-418a-a634-763aaeec7ec6","year":2024},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.863040Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:35514cb44ea860c863117c8eea8b813e5cb8d9ef3a8ffc14b249ff891a07a1e5","observation_id":"c0708678-7ce8-470f-bc8f-c4eac72555c5","resolution":{"observed_at":"2026-08-07T13:22:32.222329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:31.989815Z","title":"Understanding contrastive learning via distributionally robust optimization","venue":null,"work_id":"8886482d-4621-4b8a-90b6-6134ac545e53","year":2024},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:30.964453Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:a6c5243369de5c58f3f816595f11201dcd1f8af819ce24d0b1d0d1fef4540650","observation_id":"ee28b26a-9b9c-47aa-8a2c-ae34878863cd","resolution":{"observed_at":"2026-08-07T13:22:32.060331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.13149","last_updated":"2020-06-05T16:39:20Z","snapshot_observed_at":"2026-08-08T09:42:23.200888Z","submitted_at":"2020-05-27T04:21:53Z","title":"On Mutual Information in Contrastive Learning for Visual Representations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.13149","snapshot_observed_at":"2026-08-07T13:22:31.023848Z","title":"On mutual information in contrastive learning for visual representations","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:31.023848Z"},"links":{"cited_paper":"/paper/2005.13149","citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:d143f4fdbf1f9b78a9f10551627d331f35472cc7b6a42fd75eb39a2ed1f56295","observation_id":"0a023761-4a6e-4050-8fdf-d0142459ba95","resolution":{"observed_at":"2026-08-07T13:22:31.023848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:31.848322Z","title":"Barlow twins: Self-supervised learning via redundancy reduction","venue":null,"work_id":"a7355a70-1f6e-4144-bec7-a5393a8bd097","year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:31.101524Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:0828a838243c6d96c15c0f8abb9c40ad05d0efe398ede1580201f3e8a9fca6ac","observation_id":"ab58dee8-964c-4c2c-8079-515cbd381341","resolution":{"observed_at":"2026-08-07T13:22:31.912585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:31.689910Z","title":"On the generalization of multi-modal contrastive learning","venue":null,"work_id":"1b986728-289b-4cac-925e-13c71b7e8aef","year":2023},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:31.152554Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:ae739aa6d196948879956e56739c090836a507e35360ee7eeeb20e337e2495c7","observation_id":"f5e861d2-d5df-4895-b352-fbb1cf5c9b4f","resolution":{"observed_at":"2026-08-07T13:22:31.779388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:31.478115Z","title":"S., Sharma, Y., Schneider, S., Bethge, M., and Brendel, W","venue":null,"work_id":"2fba21b9-77ad-4417-9df6-b4413f818b5c","year":2021},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:31.305487Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:e69649203da7a6de0baf4f3e41f804bb3c2ebdafbeec8b4781c4a9b4ae43ab59","observation_id":"733efd09-71be-40be-90a6-5b553ecbb1c2","resolution":{"observed_at":"2026-08-07T13:22:31.556297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:22:31.359799Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T13:22:31.359799Z"},"links":{"citing_paper":"/paper/2505.22196"},"observation_digest":"sha256:424f5e64f1452b38887893d4b824382220fdb033b35ee558c86963faa8025623","observation_id":"3948297a-aef1-465e-a0f8-45e1c2cdf41f","resolution":{"observed_at":"2026-08-07T13:22:31.359799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.22196","last_updated":"2025-05-28T10:18:20Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T22:46:01.211970Z","submitted_at":"2025-05-28T10:18:20Z","title":"An Augmentation-Aware Theory for Self-Supervised Contrastive Learning"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":27},"total_outbound_references":33},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2505.22196."}