{"as_of":"2026-08-10T14:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9530a7f3efd6bfb8b060d73b85700b2cd4f727fe04633e1177564b240a89ce4b","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:31:37.442807Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2509.04009/citation-record","integrity":"/paper/2509.04009/integrity","json":"/paper/2509.04009/citation-record.json","paper":"/paper/2509.04009"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:37.183848Z","title":"Sanity checks for saliency maps","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.183848Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:4b9264188ba423ca977b10e1b84119bca03a8c84b34d929953c329c3cddde02c","observation_id":"ed33b00c-85f9-41c3-8bed-45db0acea02e","resolution":{"observed_at":"2026-08-05T10:31:37.183848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.02893","last_updated":"2020-03-27T19:07:58Z","snapshot_observed_at":"2026-07-06T08:05:24.076802Z","submitted_at":"2019-07-05T15:26:26Z","title":"Invariant Risk Minimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.02893","snapshot_observed_at":"2026-08-05T10:31:37.189321Z","title":"Invari- ant risk minimization","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.189321Z"},"links":{"cited_paper":"/paper/1907.02893","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:94d3d4a257b90ed94a7f1d951e8851062f2bc140bcff0688bc671e522ba61525","observation_id":"6d399ac7-3fe9-4c78-b641-a6b1639d6351","resolution":{"observed_at":"2026-08-05T10:31:37.189321Z","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":"2026-08-05T10:31:38.570139Z","title":"Towards improved input masking for convo- lutional neural networks","venue":null,"work_id":"7ca6b5d7-8add-4bb1-b768-7b34724b58de","year":2023},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.194851Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:5889a2bc9f86ff7fb92d372731e8e70d1a43461b119b9d62843a34ad8ecfb6df","observation_id":"d018470c-7ab5-469d-b0e5-82b205869b54","resolution":{"observed_at":"2026-08-05T10:31:38.576081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07159","last_updated":"2020-06-12T13:17:25Z","snapshot_observed_at":"2026-08-07T08:01:08.867333Z","submitted_at":"2020-06-12T13:17:25Z","title":"Are we done with ImageNet?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07159","snapshot_observed_at":"2026-08-05T10:31:37.200404Z","title":"Are we done with imagenet? arXiv preprint arXiv:2006.07159, 2020","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.200404Z"},"links":{"cited_paper":"/paper/2006.07159","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:b3a17dd980bcd40579faef7caca1a5805ac9c5f9cb3f86ad9972e78d590d150f","observation_id":"bbb27a14-c4df-43b8-95ed-1ca50f420058","resolution":{"observed_at":"2026-08-05T10:31:37.200404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.09461","last_updated":"2023-03-01T19:45:11Z","snapshot_observed_at":"2026-07-06T14:06:56.291161Z","submitted_at":"2022-10-17T22:23:40Z","title":"Token Merging: Your ViT But Faster","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.09461","snapshot_observed_at":"2026-08-05T10:31:37.205816Z","title":"Token merging: Your vit but faster","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.205816Z"},"links":{"cited_paper":"/paper/2210.09461","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:e8b51743f49778b941a572b218f89fa1fabee30c2306827d5491d95c07a766fb","observation_id":"41912c9c-c090-47bc-93bc-4276cc86feb3","resolution":{"observed_at":"2026-08-05T10:31:37.205816Z","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":"2026-08-05T10:31:38.553298Z","title":"Emerging properties in self-supervised vision transform- ers","venue":null,"work_id":"4c51bf92-539a-4098-947b-0bd1663ea107","year":2021},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.211377Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:b5f9369b82c7d713dc7dcde4a1876b06fb6b24903d60e94854cabe8c73b8b38f","observation_id":"261347cf-37aa-45b3-827b-063e00ea43b7","resolution":{"observed_at":"2026-08-05T10:31:38.558621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-05T10:31:37.217379Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.217379Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:13c4d4b7f2255d35719240a0f8d3d74101138d73d5759288444851e1f6a5c0ae","observation_id":"ad4c732e-07c6-4c61-97c2-9397230198c9","resolution":{"observed_at":"2026-08-05T10:31:37.217379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.11857","last_updated":"2023-05-07T23:55:09Z","snapshot_observed_at":"2026-08-01T17:10:12.688773Z","submitted_at":"2022-08-25T03:51:39Z","title":"Shortcut Learning of Large Language Models in Natural Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.11857","snapshot_observed_at":"2026-08-05T10:31:37.224144Z","title":"Shortcut learning of large language models in natural language understanding: A survey","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.224144Z"},"links":{"cited_paper":"/paper/2208.11857","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:3087e55402652d1295b167e6406751ea1761d6a8f0709000442ee95df86c36f1","observation_id":"27ba3b96-6e09-449d-971c-b16772a25210","resolution":{"observed_at":"2026-08-05T10:31:37.224144Z","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":"2026-08-05T10:31:38.535913Z","title":"Domain-adversarial training of neural networks","venue":null,"work_id":"7c1c14e3-3657-4797-a62a-1eeb71f2e7dd","year":2016},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.229405Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:a7e85c8fb3d7d3aede92bb4563775dd0e25777650372fdb24cf23e0052dbd37d","observation_id":"5946eb55-9205-4065-bbfb-006668f10267","resolution":{"observed_at":"2026-08-05T10:31:38.542011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.515779Z","title":"Shortcut learning in deep neu- ral networks","venue":null,"work_id":"b3bb74fe-f7b3-4660-a88b-a21122b96d78","year":2020},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.234142Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:54e22b80b268e0af7c22a8ad61fd4b7ba5efc33bd2abc04db531bba5ad206261","observation_id":"80d9e659-9c4c-44d8-b4f3-d5f23f8efb79","resolution":{"observed_at":"2026-08-05T10:31:38.521971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.497039Z","title":"Are vision transformers robust to spurious corre- lations? International Journal of Computer Vision, 132(3):689–709, 2024","venue":null,"work_id":"a18e1b50-eb66-4e50-b29e-2cc53b6d9003","year":2024},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.238968Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:c4d09173f6b90c57c0b5ecb12f8ab407ca49c28b71437b509e6923a3e4f0bf83","observation_id":"bc373110-9f18-49e6-bbc2-362eeca9a7c8","resolution":{"observed_at":"2026-08-05T10:31:38.502726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.479513Z","title":"Which tokens to use? investigating token reduction in vision transformers","venue":null,"work_id":"70eeae44-af34-4f10-bc69-b66d1748043f","year":2023},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.244324Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:829ac425b653853f99acddb5e1e3739f001fda9200987b39bdb19619e3286dce","observation_id":"7581f9aa-084b-493e-9c6d-8f2de47a81e6","resolution":{"observed_at":"2026-08-05T10:31:38.485194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.460977Z","title":"Masked autoencoders are scalable vision learners","venue":null,"work_id":"956a8f9b-83b9-4395-ba47-9665743caeed","year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.249474Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:4db653cff173ca6a818a6ed2740202c088624f8e01f39421a3322931fd4344fc","observation_id":"ae08a1b5-84ee-4af5-af3e-16ff7fc5d0c5","resolution":{"observed_at":"2026-08-05T10:31:38.467406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.442105Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"fd2b5cdf-936b-46ba-b940-16e2a2bdd5f1","year":2016},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.254528Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:b4378626c438d4598571e9b2eb9278743b220f6afd1ab716fc5c890728b29dad","observation_id":"074e244a-a137-4112-b803-3b94dbf57deb","resolution":{"observed_at":"2026-08-05T10:31:38.448659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.08945","last_updated":"2022-06-13T21:30:08Z","snapshot_observed_at":"2026-07-06T13:01:41.110459Z","submitted_at":"2022-04-19T15:26:12Z","title":"Missingness Bias in Model Debugging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.08945","snapshot_observed_at":"2026-08-05T10:31:37.259307Z","title":"Missingness bias in model debugging","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.259307Z"},"links":{"cited_paper":"/paper/2204.08945","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:68f56e413e4ff59f42a9293a9a6086d1f6fd7e2797be3bf9803d667a98e059fb","observation_id":"5bb7b3b7-1f7e-4e4f-a62c-1ba6a76499e4","resolution":{"observed_at":"2026-08-05T10:31:37.259307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.12009","last_updated":"2020-06-22T05:08:13Z","snapshot_observed_at":"2026-07-06T09:31:14.331447Z","submitted_at":"2020-06-22T05:08:13Z","title":"Feature Alignment and Restoration for Domain Generalization and Adaptation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.12009","snapshot_observed_at":"2026-08-05T10:31:37.264657Z","title":"Feature alignment and restora- tion for domain generalization and adapta- tion","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.264657Z"},"links":{"cited_paper":"/paper/2006.12009","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:14024c4f8f7a56d28656037429db13ac13c1a9b7a47eb08234a61d370d079cbb","observation_id":"0e984ac2-a280-4174-a814-29e31a744af6","resolution":{"observed_at":"2026-08-05T10:31:37.264657Z","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":"2026-08-05T10:31:38.422214Z","title":"Contrastive self- supervised learning: a survey on different architectures","venue":null,"work_id":"a8f3c3f9-46aa-49f5-8d27-661b2e9d463b","year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.269697Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:65556f127203739f54c1da58f57c295a20efa7c1e0b390b1aecfa5494e98debb","observation_id":"cd808581-4ae1-4ebd-9adb-d697b98cfc39","resolution":{"observed_at":"2026-08-05T10:31:38.428869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.404536Z","title":"The (un) reliability of saliency methods","venue":null,"work_id":"4cce4016-6180-44fd-b104-c3e4209d1438","year":2019},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.274566Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:e9eec029150ca7f111b6ba13426bc3c24cd426793a23f66b727dbe945c4df29f","observation_id":"8eaf3923-1aa5-4698-a0a5-7dd2bfe8574f","resolution":{"observed_at":"2026-08-05T10:31:38.410739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.02937","last_updated":"2023-06-30T22:51:42Z","snapshot_observed_at":"2026-07-06T12:57:32.819460Z","submitted_at":"2022-04-06T16:55:41Z","title":"Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.02937","snapshot_observed_at":"2026-08-05T10:31:37.280179Z","title":"Last layer re- training is sufficient for robustness to spurious correlations","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.280179Z"},"links":{"cited_paper":"/paper/2204.02937","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:5869c587eab8326c640aa2fe7c2738c8577d5fb54a2a5dc8e2bbc304d60ea8d9","observation_id":"ea89e0f6-672e-4fd9-9bf9-ef3763144903","resolution":{"observed_at":"2026-08-05T10:31:37.280179Z","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":"2026-08-05T10:31:38.383693Z","title":"Gradient-based learning applied to document recognition","venue":null,"work_id":"b7decfbd-fbc8-4a92-b135-216969509619","year":1998},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.285440Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:bcd74981387e8960a9901f6b3a874a5148d723ab668075a79e82d144fb006a63","observation_id":"54c1cde1-d6c9-4f0a-9452-cce7001935ec","resolution":{"observed_at":"2026-08-05T10:31:38.391194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.363148Z","title":"Just train twice: Improving group robustness without training group information","venue":null,"work_id":"738f368c-3d84-400c-a8e3-8cb4122c37f4","year":2021},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.291112Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:9bc95dd658094b1699d0f603db76a18a629b72d8c23bc743c01ce5a579d2f391","observation_id":"56a09f18-22c1-44ae-a6e1-226748b2cc14","resolution":{"observed_at":"2026-08-05T10:31:38.370472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.340833Z","title":"Deep learning face attributes in the wild","venue":null,"work_id":"3fb5addd-93ee-45a7-be7e-61e05fe86b9e","year":2015},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.296524Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:13b41b996f3dbe111e60e376cb492268411fcfe091d259479f5615b603d1d5d1","observation_id":"a8054c3a-7916-468b-b7b7-cd8f96c45836","resolution":{"observed_at":"2026-08-05T10:31:38.348770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.318029Z","title":"Beyond attentive tokens: Incorporating token importance and diversity for efficient vision transformers","venue":null,"work_id":"15ad3b8d-7192-43d4-afee-7674485bb0b4","year":2023},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.301400Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:c8aa15b93dfaebbd6fcb68b4f067793aa9e1451dcc2944da47a4cd6f88c4456f","observation_id":"5d883bf4-c7c5-4265-b5e2-49d30e0aae8a","resolution":{"observed_at":"2026-08-05T10:31:38.325985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12020","last_updated":"2022-12-26T14:07:16Z","snapshot_observed_at":"2026-07-06T13:34:52.227041Z","submitted_at":"2022-07-25T09:55:55Z","title":"Domain-invariant Feature Exploration for Domain Generalization","version":2},"cited_work":{"arxiv_id":"2207.12020","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.12020","snapshot_observed_at":"2026-08-05T10:31:37.645969Z","title":"Domain-invariant Feature Exploration for Domain Generalization","venue":"cs.LG","work_id":"625900ca-4574-4e47-8f1f-0bd56adf0ec3","year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.306481Z"},"links":{"cited_paper":"/paper/2207.12020","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:66ba6cefd439ed1c499ba11e46a48ee7a052d69127be1fba16f5f782f62cc474","observation_id":"4864aa61-73a4-4004-bf85-62a42b2a5b01","resolution":{"observed_at":"2026-08-05T10:31:37.654304Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07819","last_updated":"2024-08-27T21:37:57Z","snapshot_observed_at":"2026-08-01T16:06:17.092309Z","submitted_at":"2023-10-11T19:00:40Z","title":"Faithfulness Measurable Masked Language Models","version":3},"cited_work":{"arxiv_id":"2310.07819","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.07819","snapshot_observed_at":"2026-08-05T10:31:37.617301Z","title":"Faithfulness Measurable Masked Language Models","venue":"cs.CL","work_id":"df0f5f6a-4157-40c2-a34b-42aaf1d56990","year":2023},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.311731Z"},"links":{"cited_paper":"/paper/2310.07819","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:fe2e244f4e0345f83244f2b5c6636c8ce32d30e615c803c365c1e087d5299293","observation_id":"262713c9-0255-4408-8a3a-a1dfadd5b92f","resolution":{"observed_at":"2026-08-05T10:31:37.625647Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.297521Z","title":"Hard imagenet: Segmentations for objects with strong spurious cues","venue":null,"work_id":"1cbed9d4-a5da-42a8-899d-b98b7f2d6928","year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.316875Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:e69bbc5c09b2d3b69d6697b161bdab778ffa2775628c5db98f8a5ff96d7f30d3","observation_id":"4c0153b9-7007-42b2-86c9-b17ba610944b","resolution":{"observed_at":"2026-08-05T10:31:38.304651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.276943Z","title":"Vindr-mammo: A large-scale benchmark dataset for computer-aided diagnosis in full- field digital mammography","venue":null,"work_id":"2bba15b8-66ed-4a00-82cb-7afccc54c999","year":2023},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.321403Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:f41df379cdda335c559d1023ae8a35ee08212860ffe052c68a923a537346d64f","observation_id":"0ffb2d7a-4695-4767-8d94-0489cc577f60","resolution":{"observed_at":"2026-08-05T10:31:38.284418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.256770Z","title":"Hidden stratification causes clinically meaningful fail- ures in machine learning for medical imaging","venue":null,"work_id":"531c3cda-e3dc-4f94-bc83-580eb0314af5","year":2020},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.326046Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:c122b1cbe8333df94512c36b2444233813e453e96a211f117eab8a2683e1c13b","observation_id":"4f9a35f7-8fef-4dcf-a06f-7fd00ec6fde7","resolution":{"observed_at":"2026-08-05T10:31:38.263471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.07141","last_updated":"2021-11-22T08:17:28Z","snapshot_observed_at":"2026-07-06T11:18:50.548149Z","submitted_at":"2021-06-14T02:45:45Z","title":"Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks","version":3},"cited_work":{"arxiv_id":"2106.07141","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.07141","snapshot_observed_at":"2026-08-05T10:31:37.590297Z","title":"Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks","venue":"cs.CV","work_id":"e45c2411-f175-46ec-9a63-af195b388fc8","year":2021},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.330671Z"},"links":{"cited_paper":"/paper/2106.07141","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:17feb551a3a59d0870cf706b66fe3818a53f800e72ae594906657fa2665b32a4","observation_id":"7beecb7f-f509-4e9e-b729-f774aedc60ff","resolution":{"observed_at":"2026-08-05T10:31:37.597504Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.237476Z","title":null,"venue":null,"work_id":"7a28c9f3-d1bd-4504-9435-5732ca1a9d4e","year":2024},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.335989Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:68b4785209dfdf1d34b13f138d50de01723a8f480894c1c9196a510284983b4b","observation_id":"0d08674f-2674-478d-881d-1ee001e5c8e6","resolution":{"observed_at":"2026-08-05T10:31:38.243859Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.217301Z","title":"Know your self-supervised learning: A survey on image-based generative and discriminative training","venue":null,"work_id":"f08176bd-9e98-4ee4-8366-8789c00acf20","year":2023},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.340963Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:3bfdbd281d08521320d9002e0de043ebd23735aa6c457016c410927e71c5c937","observation_id":"062ed2e3-f072-4924-8c9a-eac0ab7d9b4d","resolution":{"observed_at":"2026-08-05T10:31:38.224889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.11056","last_updated":"2021-11-22T08:54:34Z","snapshot_observed_at":"2026-07-06T12:10:46.147640Z","submitted_at":"2021-11-22T08:54:34Z","title":"Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes","version":1},"cited_work":{"arxiv_id":"2111.11056","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.11056","snapshot_observed_at":"2026-08-05T10:31:37.556240Z","title":"Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes","venue":"cs.CV","work_id":"7b0f494a-655e-4e42-869c-356309d2a10a","year":2021},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.346404Z"},"links":{"cited_paper":"/paper/2111.11056","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:5d6ee910ac289155fdeb46cc223a3562ec1bdbc4c9298d33fb8f9b4431aa3479","observation_id":"599910e1-d8b8-4960-9103-594abd234515","resolution":{"observed_at":"2026-08-05T10:31:37.569624Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.195554Z","title":"ia − red2: Interpretability-aware redundancy reduction for vision transform- ers","venue":null,"work_id":"0a9aa296-54cb-402d-a680-a96c42c6ddda","year":2021},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.351241Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:2c2b1edd5737279f46cc5c5118099dc6ecc3b92f29806b72ae6cdea4e166900b","observation_id":"3464b12d-483a-4e6d-b7e2-87ba3de8be7d","resolution":{"observed_at":"2026-08-05T10:31:38.203198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.172935Z","title":"Automated classifi- cation of model errors on imagenet","venue":null,"work_id":"88b44cc6-df3f-44e1-882a-e3d04da54c7e","year":2023},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.356178Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:3f54ca456ee166e30587a1509aaa31e8a5b04860088bd6a9e814cf52521e5324","observation_id":"68edf547-427e-4db8-9f67-884aa70dad9b","resolution":{"observed_at":"2026-08-05T10:31:38.181449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.02112","last_updated":"2022-08-17T19:45:17Z","snapshot_observed_at":"2026-07-06T11:15:46.517682Z","submitted_at":"2021-06-03T20:07:46Z","title":"Finding and Fixing Spurious Patterns with Explanations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.02112","snapshot_observed_at":"2026-08-05T10:31:37.363901Z","title":"Finding and fixing spu- rious patterns with explanations","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.363901Z"},"links":{"cited_paper":"/paper/2106.02112","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:2cddb09f7806f4152456ce1dfcb0ebdc438064a4a535231f7b3203049c0f1979","observation_id":"80314cd6-6282-4309-9390-75106f952c1c","resolution":{"observed_at":"2026-08-05T10:31:37.363901Z","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":"2026-08-05T10:31:38.152724Z","title":"Dynamicvit: Efficient vision transformers 19 with dynamic token sparsification","venue":null,"work_id":"27faddac-0e96-4591-824b-c67526505e57","year":2021},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.369884Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:d6322b62c2fb88fcd57a82f54efba2148dd79625881d39d7126193e5e3e9cc14","observation_id":"5805c922-999a-4860-bde4-92f634b104fa","resolution":{"observed_at":"2026-08-05T10:31:38.158931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12015","last_updated":"2022-02-24T10:56:17Z","snapshot_observed_at":"2026-08-06T14:20:02.767018Z","submitted_at":"2022-02-24T10:56:17Z","title":"Learning to Merge Tokens in Vision Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.12015","snapshot_observed_at":"2026-08-05T10:31:37.375051Z","title":"Learning to merge tokens in vision transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.375051Z"},"links":{"cited_paper":"/paper/2202.12015","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:124973e197c232e564ea44102a53e6c78bf31afd50d5a74d2c84dd3295f0bd4e","observation_id":"396f89f9-983c-400e-95c0-1009c09e924e","resolution":{"observed_at":"2026-08-05T10:31:37.375051Z","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":"2026-08-05T10:31:38.132993Z","title":"” why should i trust you?” explaining the predictions of any classifier","venue":null,"work_id":"8e58e382-4403-4a79-aff0-9542bdde5782","year":2016},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.380487Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:408adc3cea0199c910deb5a4a92f0e96a52206220ecf395f4a98a219b821e15a","observation_id":"9c3e9488-1a71-4023-88b0-ab0d4e19cfe7","resolution":{"observed_at":"2026-08-05T10:31:38.140024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.112075Z","title":"Berg, and Li Fei-Fei","venue":null,"work_id":"8ab8bea5-8d95-4b46-86d0-8adc04e3a24a","year":2015},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.385853Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:cd8dc621f35431e51957605889495b45603a05195af3f363a1afead105258354","observation_id":"89b0a5d8-3da8-4eec-9f36-eb76bb4ac1a1","resolution":{"observed_at":"2026-08-05T10:31:38.119363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.08731","last_updated":"2020-04-02T05:40:29Z","snapshot_observed_at":"2026-08-02T19:28:48.954133Z","submitted_at":"2019-11-20T06:43:41Z","title":"Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.08731","snapshot_observed_at":"2026-08-05T10:31:37.390791Z","title":"Distribu- tionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.390791Z"},"links":{"cited_paper":"/paper/1911.08731","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:ba7b826eab93f001066a74f19b9308d6f5dbe07ad4836e3e42c0738f85273772","observation_id":"6bef566c-8056-4747-8467-58f6d5304d7f","resolution":{"observed_at":"2026-08-05T10:31:37.390791Z","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":"2026-08-05T10:31:38.089847Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","venue":null,"work_id":"3ae972e3-05ab-47f5-8f08-d919fcf14bdb","year":2017},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.396282Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:746c7db2d46ea70e66f34cb7c8e031b17c495f6ab9c874af61fb15e28a5ac958","observation_id":"0186bbf6-e78e-44d3-96cb-66cee526c9b4","resolution":{"observed_at":"2026-08-05T10:31:38.096881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.04301","last_updated":"2022-03-28T02:55:37Z","snapshot_observed_at":"2026-08-08T23:04:24.949592Z","submitted_at":"2021-10-08T15:55:05Z","title":"Salient ImageNet: How to discover spurious features in Deep Learning?","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.04301","snapshot_observed_at":"2026-08-05T10:31:37.401626Z","title":"Salient imagenet: How to discover spurious fea- tures in deep learning? arXiv preprint arXiv:2110.04301, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.401626Z"},"links":{"cited_paper":"/paper/2110.04301","citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:d6ebe3bed84d4ac54fe70b4d3d5b505bccb1bfbfe949ae80a3feb825e1a1dc2a","observation_id":"9746d7fc-bd35-4bc3-a4b3-9309a1f9565c","resolution":{"observed_at":"2026-08-05T10:31:37.401626Z","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":"2026-08-05T10:31:38.070064Z","title":"Axiomatic attribution for deep networks","venue":null,"work_id":"97dda3d7-791d-43a6-9c73-13e1a8603bf2","year":2017},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.406505Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:37f59b1ac50d2925d6051e83903ea61fe1c0067c58af4d19dd37bf2956879f9d","observation_id":"c54b0edd-ea18-44d1-8d34-771d6936dd7c","resolution":{"observed_at":"2026-08-05T10:31:38.076801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.048115Z","title":"Rethinking the inception architec- ture for computer vision","venue":null,"work_id":"286ebda9-378d-4806-a8aa-0659b7f5b5b4","year":2016},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.411237Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:ff367d80b93fef0584340ba2f3bd79bf2a5b9947d799ccf48007fc6a3b26b1c4","observation_id":"d5990a72-aaa7-43bb-8fe5-c0c305a175be","resolution":{"observed_at":"2026-08-05T10:31:38.056427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.025961Z","title":"Over- coming simplicity bias in deep networks using a feature sieve","venue":null,"work_id":"72f306ba-1132-4351-bb2b-fda32fb8baee","year":2023},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.417645Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:6b25161c565a0f9d64036de3cc49dcae12d9dd1355c4a3abb58347d516f86a0f","observation_id":"15c1fd2d-9213-40d9-afa4-7c2d9ed1775e","resolution":{"observed_at":"2026-08-05T10:31:38.033407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:38.005635Z","title":"Adversarial discrimina- tive domain adaptation","venue":null,"work_id":"09aa5668-47ed-4bbd-9c96-d038fe703b4d","year":2017},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.423426Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:0aedf0a11e37e1d4c498c78eb93cfa25ef093ad704695fb7e2c953750664ed27","observation_id":"40deee9d-524f-4887-8623-72128868360a","resolution":{"observed_at":"2026-08-05T10:31:38.012536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:37.986121Z","title":"Attention is all you need","venue":null,"work_id":"cd0cae91-cf54-41c3-acfc-ae58059424fa","year":2017},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.429562Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:3e08064b6975a3bc1be03d5e929d49146a430b0155ab8634f798d6284cc2c6c6","observation_id":"8027a27f-e7f2-49b2-8834-d9032f1a52b5","resolution":{"observed_at":"2026-08-05T10:31:37.992805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:37.961932Z","title":"Gen- eralizing to unseen domains: A survey on domain generalization","venue":null,"work_id":"95d848df-b6fa-436f-8074-313f2ff7115a","year":2022},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.436823Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:1b436948a03b71d9840006bb2a43342318614557d952dffc88a535e3bbb95f15","observation_id":"16f84d2f-2625-487d-b915-502124eb82ad","resolution":{"observed_at":"2026-08-05T10:31:37.973378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:31:37.939077Z","title":"Visu- alizing and understanding convolutional net- works","venue":null,"work_id":"225ba2c6-edb9-4d32-9082-df4f1a2b7ca4","year":2014},"citing_paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T10:31:37.442807Z"},"links":{"citing_paper":"/paper/2509.04009"},"observation_digest":"sha256:685bb520ac26d5a520dfcdb7396ea3e43fb6216ce0865e01cf1269deb4012abc","observation_id":"14ca9804-ddb9-47fd-bc1e-3e5f0c11742b","resolution":{"observed_at":"2026-08-05T10:31:37.946923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.04009","last_updated":"2025-09-04T08:40:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T23:04:33.228211Z","submitted_at":"2025-09-04T08:40:40Z","title":"Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":4,"verified_fuzzy":31},"total_outbound_references":49},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2509.04009."}