{"as_of":"2026-08-13T13:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c00d12726e868999ff17f833f70fb20cb816c05a5adf09e0912263d5b18d3f92","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:30:52.274083Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.16236/citation-record","integrity":"/paper/2411.16236/integrity","json":"/paper/2411.16236/citation-record.json","paper":"/paper/2411.16236"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:52.075208Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.075208Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:83189e28225920efab9ce7b6bafee981683e5e49d189fcac6b2f5282be9d126f","observation_id":"b8e75bd4-4f8f-4e4e-a8b5-8ab8e5fe444e","resolution":{"observed_at":"2026-08-12T13:30:52.075208Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:52.080190Z","title":"Sigmoid loss for language image pre-training","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.080190Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:d78a90317f810ee9b869386c4e9169cab0bb2bb394e6a0e38f148fe627c49062","observation_id":"ec158dc8-6893-4400-93ed-4b248d10601d","resolution":{"observed_at":"2026-08-12T13:30:52.080190Z","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":"2026-08-12T13:30:52.907070Z","title":"Hyperbolic image-text representations","venue":null,"work_id":"08773e95-2d6e-4c68-b3ee-a785dab01d34","year":2023},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.084655Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:cda51fdaa53ea055062aea9543c99f6a24e8ef3ed618a6df89963c540abd27b0","observation_id":"223190ba-c89e-49d1-b743-456d9098a702","resolution":{"observed_at":"2026-08-12T13:30:52.911074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02114","last_updated":"2021-11-03T10:16:39Z","snapshot_observed_at":"2026-08-02T08:12:49.547570Z","submitted_at":"2021-11-03T10:16:39Z","title":"LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02114","snapshot_observed_at":"2026-08-12T13:30:52.089010Z","title":"Laion-400m: Open dataset of clip-filtered 400 million image-text pairs","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.089010Z"},"links":{"cited_paper":"/paper/2111.02114","citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:9f78184421cd7fae59ed911dee3838e5025d4ed0f48c4bdfd0c1bd8d1e60be2b","observation_id":"c6293edd-dcf7-4742-bcd9-5c897b368354","resolution":{"observed_at":"2026-08-12T13:30:52.089010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.10163","last_updated":"2022-10-18T21:06:29Z","snapshot_observed_at":"2026-08-13T02:25:18.556290Z","submitted_at":"2022-10-18T21:06:29Z","title":"MedCLIP: Contrastive Learning from Unpaired Medical Images and Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.10163","snapshot_observed_at":"2026-08-12T13:30:52.098462Z","title":"Medclip: Contrastive learning from unpaired medical images and text","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.098462Z"},"links":{"cited_paper":"/paper/2210.10163","citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:00edae44f8c1df4c072a890f36d6d69ab1b937856b1a06455c92fefb535b829e","observation_id":"d8cb753d-0417-4d74-8f61-2d7aeb660836","resolution":{"observed_at":"2026-08-12T13:30:52.098462Z","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":"2026-08-12T13:30:52.892077Z","title":"Geode: a geographically diverse evaluation dataset for object recognition","venue":null,"work_id":"c3383060-be87-4107-8721-64053b537f5b","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.104851Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:160304b4dcf56bf786404fd1d4a358bd97e5065d4911b35b15b67aa10a86c1b2","observation_id":"e2037346-4e9f-436a-855d-00bc4e9b78d1","resolution":{"observed_at":"2026-08-12T13:30:52.896972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.875662Z","title":"Clip as rnn: Segment countless visual concepts without training endeavor","venue":null,"work_id":"2419621a-c3cf-4789-902b-02762754f058","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.110192Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:476d5b0a221304f603fb712ef6a5c2b65c44e775a513939c03ceaafd1680e163","observation_id":"9dbdd07d-8207-4ca8-a659-315e28645e16","resolution":{"observed_at":"2026-08-12T13:30:52.880875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.860578Z","title":"Cascade-clip: Cascaded vision-language embeddings alignment for zero-shot semantic segmentation","venue":null,"work_id":"b2a6aca5-a70a-45ea-8a8c-684a190229ee","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.114799Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:544e57046c0b834bcd710a741366e2c0f835b1631654155f1966e39fe93e4fd1","observation_id":"d3bca9b8-7b92-4382-acc2-98e2840307b8","resolution":{"observed_at":"2026-08-12T13:30:52.865440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.120826Z","title":"Visual classification via description from large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.120826Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:76f055d7a785644894dcd4514e86bd0d83cee9a062ebc01c27ca500a440f2126","observation_id":"1e7e06b6-aa7f-41f1-a31e-e803a09166f6","resolution":{"observed_at":"2026-08-12T13:30:52.120826Z","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":"2026-08-12T13:30:52.833198Z","title":"Waffling around for performance: Visual classification with random words and broad concepts","venue":null,"work_id":"16c42433-3c6f-4ec5-bade-61f5f83b4fe8","year":2023},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.125983Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:b2985ed27fdf0c9bea2dd9ebd2a1478e19409592d02f4fc0a0022c4391650a13","observation_id":"d2c17673-6745-4f31-b224-277888142d05","resolution":{"observed_at":"2026-08-12T13:30:52.839186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.811793Z","title":"PerceptionCLIP: Visual classification by inferring and conditioning on contexts","venue":null,"work_id":"17a9739c-0bcf-4102-90c0-15571f282e98","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.130780Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:36a101ad9ce61be69ef69fd9363d0299e27d79495ce941a7c4e95a7e1c8d8f97","observation_id":"af942256-73cf-413c-ae42-d5a79852b417","resolution":{"observed_at":"2026-08-12T13:30:52.816942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.796288Z","title":"Contrastive adapters for foundation model group robustness","venue":null,"work_id":"073fe9e5-f341-4e22-9297-30c5f13056da","year":2022},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.135234Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:23480b17143ec8b868242cbe207382b6e420276557c5d5812f050e3e3cbbe079","observation_id":"29fe29c2-28ea-467a-bf59-b4413d1109ad","resolution":{"observed_at":"2026-08-12T13:30:52.801734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.139665Z","title":"Fine-tuning can distort pretrained features and underperform out-of-distribution","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.139665Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:c682d5a4fe83bdf1f53661cbc675fda6b5eb3909a301454652b535ff8a81c189","observation_id":"47a3ac20-8ebe-4460-90c2-93f66cd11437","resolution":{"observed_at":"2026-08-12T13:30:52.139665Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:52.144371Z","title":"Last layer re-training is sufficient for robustness to spurious correlations","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.144371Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:f395ed17affa99507730203dd3de5c646597af0700af70e4a48b07215e2c9059","observation_id":"4bf82603-5563-446c-b865-a110ebea7480","resolution":{"observed_at":"2026-08-12T13:30:52.144371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.00070","last_updated":"2023-05-15T07:51:14Z","snapshot_observed_at":"2026-08-13T12:53:57.597062Z","submitted_at":"2023-01-31T20:09:33Z","title":"Debiasing Vision-Language Models via Biased Prompts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.00070","snapshot_observed_at":"2026-08-12T13:30:52.148919Z","title":"Debiasing vision-language models via biased prompts","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.148919Z"},"links":{"cited_paper":"/paper/2302.00070","citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:64fe4505479165ef9da54b4d43ba866da12217c36d7eea7833cb93ba0887d594","observation_id":"26be337a-e02c-4c8a-87f1-820b876c8eef","resolution":{"observed_at":"2026-08-12T13:30:52.148919Z","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":"2026-08-12T13:30:52.755047Z","title":"FairerCLIP: Debiasing CLIP’s zero-shot predictions using functions in RKHSs","venue":null,"work_id":"96a98155-21df-4ed2-83e6-bdd2d0b356e3","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.154091Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:6be682d6a06778b2367e8b1f96fb57b594ef8a4c5a9c1d866c3ba91c6e9abd86","observation_id":"cb906e7f-881a-4cd9-87fc-12d0387163ef","resolution":{"observed_at":"2026-08-12T13:30:52.760832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.737469Z","title":"Calibrating multi-modal representations: A pursuit of group robustness without annotations","venue":null,"work_id":"c07f4bfa-5ffd-43c3-81b6-53cdae1da872","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.159598Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:8efb02126766e4ce362fa025c35d2f34dae495c11d397613c2c87da8313df91b","observation_id":"353c142f-dc14-4bf4-b4a4-0db389cebf74","resolution":{"observed_at":"2026-08-12T13:30:52.743814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.720367Z","title":"Clip-adapter: Better vision-language models with feature adapters","venue":null,"work_id":"f336a5c6-16c7-4589-b4b4-ceda8177937a","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.164086Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:1c8e4683c224159897770d6c2dbbf6745bccc58b17f09adc290554f7def759e0","observation_id":"73ebf027-4bc6-4e9b-964b-029316c272c4","resolution":{"observed_at":"2026-08-12T13:30:52.725404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.703118Z","title":"Controllable prompt tuning for balancing group distributional robustness","venue":null,"work_id":"e2e5e699-cf7e-4595-a24f-f28636d93b6d","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.168814Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:498be984e7e5ced722afe1cacf176264a0d886dabea10771577b02ecfc780fb7","observation_id":"50d1b131-9898-49e9-9aa0-fab8f22c6dd1","resolution":{"observed_at":"2026-08-12T13:30:52.708642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09365","last_updated":"2024-10-12T04:34:46Z","snapshot_observed_at":"2026-08-12T22:24:57.066788Z","submitted_at":"2024-10-12T04:34:46Z","title":"Debiasing Vison-Language Models with Text-Only Training","version":1},"cited_work":{"arxiv_id":"2410.09365","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.09365","snapshot_observed_at":"2026-08-12T13:30:52.338507Z","title":"Debiasing Vison-Language Models with Text-Only Training","venue":"cs.CV","work_id":"65bafca6-2ad8-4b8b-a19a-f1ccc489d987","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.173108Z"},"links":{"cited_paper":"/paper/2410.09365","citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:04913650a15894b56a2971ec4c925d672455fe558cdb264beb552612944b96d0","observation_id":"8b43244c-0fe5-4e3b-9629-6d752691a9ab","resolution":{"observed_at":"2026-08-12T13:30:52.346101Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.686556Z","title":"Language models as hierarchy encoders","venue":null,"work_id":"63afb6cf-2ac8-4384-97fb-17c812634b31","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.177668Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:1b5028438ce1980447f241c8e13f39adaf59c9f02fb781c6f5c2a420d00939eb","observation_id":"bace06a6-770c-4bb6-a070-0ad7ecfec3cb","resolution":{"observed_at":"2026-08-12T13:30:52.691719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.670252Z","title":"Eigenproblems in pattern recognition","venue":null,"work_id":"499efaa1-27a9-425a-9ee3-22082ae15885","year":2005},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.182803Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:49f4e1641ef8990492eb439325082fba485ff3e266c5aec31913a08627293b10","observation_id":"341b5a27-91e4-4b15-b21e-3d41726b3718","resolution":{"observed_at":"2026-08-12T13:30:52.674977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.654667Z","title":"Harmony in diversity: Merging neural networks with canonical correlation analysis","venue":null,"work_id":"314d8d68-6970-4519-98a6-ba3c8c0f99e8","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.188301Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:b13ff0450476d9a58f4996372f9ef72a28030334fad7c0cc30b2a8d262da3da5","observation_id":"d05a5aea-1b08-4d1f-a5ca-ec80e812c0c3","resolution":{"observed_at":"2026-08-12T13:30:52.659282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.193052Z","title":"Hashimoto, and Percy Liang","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.193052Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:c142cc0f386bf0e646ab69c3cdc1d4b2131cc03e950672e16904caa397695c5c","observation_id":"52676646-69c4-4e46-9b94-692e6e2cce03","resolution":{"observed_at":"2026-08-12T13:30:52.193052Z","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":"2026-08-12T13:30:52.625475Z","title":"Visualizing data using t-sne","venue":null,"work_id":"7a0f7cfa-6a52-4151-9ef1-88252798ecb7","year":2008},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.197853Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:3b217e696ef510ee2eff66ecaebb34d4a5f18a588d9521390f43d2c60dfdfa2d","observation_id":"8845b1df-a60f-4a43-8c87-372e384a9934","resolution":{"observed_at":"2026-08-12T13:30:52.631265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.607921Z","title":"Making monolingual sentence embeddings multilingual using knowledge distillation","venue":null,"work_id":"212a3a9a-0819-4691-bd24-4e6014fef25c","year":2020},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.202479Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:b75ce24de121a61bd4811bb935fd88e4291ba71ebb0ed8f4cbf4c98efa190d6d","observation_id":"0500b759-8d90-4b59-91da-03d6574b2335","resolution":{"observed_at":"2026-08-12T13:30:52.612859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.206822Z","title":"Deep learning face attributes in the wild","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.206822Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:882f84b9464da8d130db7393d4bafd6470641c67780c0fa0e2848041a1f2f7c0","observation_id":"0ba66a3f-0814-4d9c-93ea-233bccee639e","resolution":{"observed_at":"2026-08-12T13:30:52.206822Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:52.211349Z","title":"The caltech-ucsd birds-200-2011 dataset","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.211349Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:edf006e7308a270f09ee65dba070c6920a090e32402a5be92a037cff4f446e23","observation_id":"94c14428-2848-4701-acfd-3b73240a4b11","resolution":{"observed_at":"2026-08-12T13:30:52.211349Z","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":"2026-08-12T13:30:52.569888Z","title":"Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification","venue":null,"work_id":"dfb70d68-2a0f-48e4-89d5-d6e8e35486b4","year":2019},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.216118Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:ac59ac0866ff2e0c6b6ea2f6d630946b3f086bf904ee33b85a6a2c2ffc4df851","observation_id":"10b0fc67-e00c-40f7-ba5f-eac8f5175c45","resolution":{"observed_at":"2026-08-12T13:30:52.575639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.554301Z","title":"Places: A 10 million image database for scene recognition","venue":null,"work_id":"afed0a6f-3fa3-4331-b650-a3f6581716f8","year":2017},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.221545Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:099683f9ac68761e50aed974c93cd171f33d0eef6dc5bdd0a388cf4e50c53cca","observation_id":"ee5a736a-29e1-4c83-ac50-7dcfa04728a1","resolution":{"observed_at":"2026-08-12T13:30:52.559534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.537728Z","title":"Automated flower classification over a large number of classes","venue":null,"work_id":"846f703f-09a6-4b76-88ae-0a090ad8d145","year":2008},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.226856Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:ef0a62de89dadff7e95eb9280bc3aca63f8b84617a7b5ca9c93fe9978062c0ad","observation_id":"fa85a26d-2de4-42a3-9aa8-044b40050276","resolution":{"observed_at":"2026-08-12T13:30:52.542889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.522124Z","title":"Food-101–mining discriminative components with random forests","venue":null,"work_id":"bfed68a0-bb54-4d6e-bf1c-afb17728dff3","year":2014},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.232518Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:95113cfe2d9384dbe389d94fd3af76894e1faa6f3002a8e97142a6f7f93538f8","observation_id":"367bb14a-ba31-457f-8190-2770e4fa0479","resolution":{"observed_at":"2026-08-12T13:30:52.527044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.237804Z","title":"Cats and dogs","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.237804Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:a7200fd6794f199359464fe312682e9df76851c7c7f9502da8f8669cffafc867","observation_id":"262c984c-9fb2-4383-bb02-cc20b5e74ab7","resolution":{"observed_at":"2026-08-12T13:30:52.237804Z","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":"2026-08-12T13:30:52.496023Z","title":"Pytorch: An imperative style, high- performance deep learning library","venue":null,"work_id":"d8b8a9c7-7367-45c5-adc2-531335684fd6","year":2019},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.242491Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:1e5ea419b057cc3ebefadd5756718f74ca683aad23f498e2cff7fd59a653fa7f","observation_id":"821dd864-5599-418a-8b31-cd13a8a392eb","resolution":{"observed_at":"2026-08-12T13:30:52.500950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.247053Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.247053Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:f6de5e435a87bfcff224c066db5caf8482e5f9ed78662eb795705f7b7750645b","observation_id":"34f41929-5758-41d9-8d1a-e8cc7face1c7","resolution":{"observed_at":"2026-08-12T13:30:52.247053Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:30:52.251952Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.251952Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:dbbbead9b8174129c75d40003d17bbcdb6eaaa3da95d64935461c62c9a661549","observation_id":"82c9e85a-71fe-4812-a915-0e3b6f60f9f3","resolution":{"observed_at":"2026-08-12T13:30:52.251952Z","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":"2026-08-12T13:30:52.458835Z","title":"Hyperbolic representation learning: Revisiting and advancing","venue":null,"work_id":"d47c379c-55f4-4841-b899-eb3253b45eff","year":2023},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.256886Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:ae3be3542e26c0edd1a051297a98ea5cdfd38813db427191d671ccafd90d3e76","observation_id":"4e7b8615-8a5b-4b8c-a9be-94ce11273431","resolution":{"observed_at":"2026-08-12T13:30:52.463941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.440920Z","title":"Utility-fairness trade-offs and how to find them","venue":null,"work_id":"d998a923-40a0-41dc-95c6-536858c83537","year":2024},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.261245Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:4ad738ae1a40f3255098d4f2e1feffb96c46cf062b2d028c58e0545d4089707c","observation_id":"b2e9fc3e-26b1-4c7f-9d2b-0b3cca168bfa","resolution":{"observed_at":"2026-08-12T13:30:52.448137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03281","last_updated":"2023-08-07T03:52:59Z","snapshot_observed_at":"2026-08-04T23:10:23.964516Z","submitted_at":"2023-08-07T03:52:59Z","title":"Towards General Text Embeddings with Multi-stage Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03281","snapshot_observed_at":"2026-08-12T13:30:52.265195Z","title":"Towards general text embeddings with multi-stage contrastive learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.265195Z"},"links":{"cited_paper":"/paper/2308.03281","citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:8753aa0160abca5fe13ce57548b4ec1d881fd8c96bcb2d4657e19d507ab6a4c6","observation_id":"1005fd63-9882-4ae6-87a3-40fe35d66236","resolution":{"observed_at":"2026-08-12T13:30:52.265195Z","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":"2026-08-12T13:30:52.424537Z","title":"BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension","venue":null,"work_id":"01a2cdcd-6573-4684-848e-e340a65024db","year":2020},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.269700Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:c1e3d03efde52b7de3ef7c5c0d0923f90f38d971ad94ec9e012ede2a0e6cb658","observation_id":"166c107d-70fe-43dd-bacc-71c51404db5d","resolution":{"observed_at":"2026-08-12T13:30:52.428970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T13:30:52.409615Z","title":"Principal component analysis","venue":null,"work_id":"4c3389bf-470d-48fb-938b-c6d0377706c8","year":2016},"citing_paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T13:30:52.274083Z"},"links":{"citing_paper":"/paper/2411.16236"},"observation_digest":"sha256:0a658396a9886450d4c5aed6072bc310a3b8afc4b1a9c4b07a078caef001506c","observation_id":"39c07505-ad44-4b58-9a63-a068dc12190a","resolution":{"observed_at":"2026-08-12T13:30:52.414302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.16236","last_updated":"2024-11-25T09:52:28Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T13:18:40.438255Z","submitted_at":"2024-11-25T09:52:28Z","title":"DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":1,"verified_fuzzy":25},"total_outbound_references":41},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2411.16236."}