{"as_of":"2026-08-20T05:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:289f93b05a3438aedd94d76feaa2c64cd12b754cc9964dace32dcc1113c330a7","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T16:48:59.969794Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2508.20516/citation-record","integrity":"/paper/2508.20516/integrity","json":"/paper/2508.20516/citation-record.json","paper":"/paper/2508.20516"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.04795","last_updated":"2024-05-23T10:38:24Z","snapshot_observed_at":"2026-08-16T15:41:30.235177Z","submitted_at":"2023-04-10T18:01:47Z","title":"Evaluation of Test-Time Adaptation Under Computational Time Constraints","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04795","snapshot_observed_at":"2026-08-15T16:48:59.832403Z","title":"arXiv preprint arXiv:2304.04795 (2023) 12 W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.832403Z"},"links":{"cited_paper":"/paper/2304.04795","citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:692dbc645aca47aa4604b94ed213f52e79f8ccdbff9c646b5a85fb4bf5166125","observation_id":"77da53e4-2d32-4030-9a98-6b3be9ecc19c","resolution":{"observed_at":"2026-08-15T16:48:59.832403Z","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":"2026-08-15T16:49:00.445827Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":"75caaa74-4cce-499c-8784-76b2949d80fd","year":2020},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.838215Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:2da03c8b6ec66c6ff41f5dfa9c325b43f7b9de6f973e0696b6fb2d5a43d8dfd2","observation_id":"91dc56b3-95e9-4007-a5df-6efe805179f2","resolution":{"observed_at":"2026-08-15T16:49:00.451011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.10921","last_updated":"2023-03-15T15:49:07Z","snapshot_observed_at":"2026-08-16T16:00:05.083990Z","submitted_at":"2023-01-26T03:53:25Z","title":"SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.10921","snapshot_observed_at":"2026-08-15T16:48:59.843029Z","title":"arXiv preprint arXiv:2301.10921 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.843029Z"},"links":{"cited_paper":"/paper/2301.10921","citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:d654e51898c5cf0db2f1d13af4ea54f80ac3055eb41206d697421ed90054428e","observation_id":"97d63b39-3e23-4a97-b389-d6aa7391939c","resolution":{"observed_at":"2026-08-15T16:48:59.843029Z","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":"2026-08-15T16:48:59.848425Z","title":"In: European Con- ference on Computer Vision","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.848425Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:c3e7b2885625405515d5c36e85c5c06ff61d53bf3eab1bc284a353eecee22033","observation_id":"d154c43a-60b2-48a4-9bd1-6967b8ecdbbc","resolution":{"observed_at":"2026-08-15T16:48:59.848425Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.09670","last_updated":"2021-10-31T20:03:39Z","snapshot_observed_at":"2026-08-16T19:12:22.612814Z","submitted_at":"2020-10-19T17:06:18Z","title":"RobustBench: a standardized adversarial robustness benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.09670","snapshot_observed_at":"2026-08-15T16:48:59.853590Z","title":"arXiv preprint arXiv:2010.09670 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.853590Z"},"links":{"cited_paper":"/paper/2010.09670","citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:585be2cc2597615831fd333c4fff8e868c220ef1b89cc006f9b3b9b258c10e61","observation_id":"661f94b1-f2bd-4963-bb0a-3f6b00907f58","resolution":{"observed_at":"2026-08-15T16:48:59.853590Z","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":"2026-08-15T16:49:00.417789Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"c2c42c95-3847-4470-af4d-13fc4ec7691d","year":2023},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.858976Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:1ae367e890ead3d37b763ee2a8a84ed6c8b45c7d072c7fcb6e3fdf08aeab05e9","observation_id":"20ff81b9-05cd-4a50-93f4-980e8b253f15","resolution":{"observed_at":"2026-08-15T16:49:00.423822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:48:59.864571Z","title":"Journal of machine learning research 17(59), 1–35 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.864571Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:293b3496c4315893a0614945346cfd3566cc10dcc764e4c6afb82b73a992df8f","observation_id":"039de227-41e9-44bf-b04d-d12bc21e5bd6","resolution":{"observed_at":"2026-08-15T16:48:59.864571Z","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":"2026-08-15T16:48:59.870636Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.870636Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:05793507e6180354590bc45a4a84d2442b74187e70d162fd4c8da9304e8fae58","observation_id":"5fa2936e-26ec-46b3-92a1-2045777f9fe4","resolution":{"observed_at":"2026-08-15T16:48:59.870636Z","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":"2026-08-15T16:49:00.377058Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"eb93cf95-794f-4498-84b3-b50e203a2e8b","year":2019},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.876035Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:91dd69b810134c28c0a5e3422d130d4d8c5a87c5a7c34e1f6e44d0d99bb17175","observation_id":"ad7de043-b5ba-467e-bc3e-bba634f28926","resolution":{"observed_at":"2026-08-15T16:49:00.382400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:48:59.880873Z","title":"Proceedings of the national academy of sciences 114(13), 3521–3526 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.880873Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:3c7861c93e357cf3aaafa6ba0c3fe257a5177e557638a57fc1f5da5d9d821444","observation_id":"2e8c20df-9db0-425a-b133-9939c0f10654","resolution":{"observed_at":"2026-08-15T16:48:59.880873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10650","last_updated":"2025-01-25T18:14:56Z","snapshot_observed_at":"2026-08-16T14:09:19.780326Z","submitted_at":"2024-03-15T19:35:10Z","title":"PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation","version":4},"cited_work":{"arxiv_id":"2403.10650","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.10650","snapshot_observed_at":"2026-08-15T16:49:00.090936Z","title":"PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation","venue":"cs.CV","work_id":"6d83bc50-6408-4ba1-9f5c-e96a458bff0e","year":2024},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.886124Z"},"links":{"cited_paper":"/paper/2403.10650","citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:7e1e906d10ac43494561ab699dc26fdd6277272c0718edc1dcd44284282adcd6","observation_id":"6324b85a-2e4f-4850-9cb2-204df324efd7","resolution":{"observed_at":"2026-08-15T16:49:00.099577Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:49:00.348355Z","title":"In: 2022 International Joint Conference on Neural Networks (IJCNN)","venue":null,"work_id":"32244a4a-5b5b-4849-aa67-1733f4a2e749","year":2022},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.891400Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:00ebdffd3a755980d40f8479fd3811ba7230e5634d97e872fd8ee61c5b271c72","observation_id":"fff99f95-00d0-4f0f-a441-4a7aa48af35d","resolution":{"observed_at":"2026-08-15T16:49:00.353816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:48:59.896439Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.896439Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:6e95c5895ded0a4baaf058587a44d5fe5c68633968ab0884065ae5109f7372dd","observation_id":"88122492-4e15-4b06-b2d3-079e05dd02d3","resolution":{"observed_at":"2026-08-15T16:48:59.896439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12400","last_updated":"2023-02-24T02:03:41Z","snapshot_observed_at":"2026-08-16T15:53:04.443562Z","submitted_at":"2023-02-24T02:03:41Z","title":"Towards Stable Test-Time Adaptation in Dynamic Wild World","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12400","snapshot_observed_at":"2026-08-15T16:48:59.901417Z","title":"arXiv preprint arXiv:2302.12400 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.901417Z"},"links":{"cited_paper":"/paper/2302.12400","citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:5bb1fd14be50e4c31009152f310d4ca1b794d01b51c2eab5bd31517a9c3c5fd0","observation_id":"df305c34-525f-4dd6-a81b-cf693f6cebc0","resolution":{"observed_at":"2026-08-15T16:48:59.901417Z","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":"2026-08-15T16:49:00.321230Z","title":"In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision","venue":null,"work_id":"5d4b464c-1c08-4711-9466-d8442ba872ca","year":2024},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.906956Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:7e9ec946967a225e580cf8445aa6fc278c747a3600c88810e7acbc3c315037a8","observation_id":"ef46018c-24da-495e-8213-7626c51ea8a4","resolution":{"observed_at":"2026-08-15T16:49:00.326798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:49:00.302876Z","title":"Advances in neural information processing systems 33, 11539–11551 (2020)","venue":null,"work_id":"bb4fc2a5-dd08-478e-ae4b-d8892cf1ac9e","year":2020},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.912050Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:b494d8449991c62b646c33d0ddea2bbece7f301bc68060d8c4e98aa77a95fc41","observation_id":"d26cced9-6bea-4d7d-8cb8-f5384e930876","resolution":{"observed_at":"2026-08-15T16:49:00.309390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:49:00.284455Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"74435474-e799-4fa1-be0e-f307aeb0370c","year":2023},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.916658Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:4556f06ffa8721308bb4421ebf0ac87c474969e80c9d685f354a40be7afe8f01","observation_id":"f565f0b6-84e0-4dc9-98cb-ff3aacff56a4","resolution":{"observed_at":"2026-08-15T16:49:00.289837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:49:00.266694Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"be1db448-d370-4213-9314-38ce9d2e73d6","year":2023},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.921372Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:4ac8e2bfa5890dbd5f5ba90159d1ed607d10a2b8908dad18fdc740299e89bcc2","observation_id":"55be192b-f92d-40ed-92ec-5571a396a90a","resolution":{"observed_at":"2026-08-15T16:49:00.272153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:48:59.925887Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.925887Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:244e0cd67e5d7e19d3da91e548ff6e089f5de9628e739c1cb490f87b62a89c79","observation_id":"364e6097-e730-409c-9be9-316fdedb78e5","resolution":{"observed_at":"2026-08-15T16:48:59.925887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10726","last_updated":"2021-03-18T17:58:01Z","snapshot_observed_at":"2026-08-16T06:30:33.794820Z","submitted_at":"2020-06-18T17:55:28Z","title":"Tent: Fully Test-time Adaptation by Entropy Minimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10726","snapshot_observed_at":"2026-08-15T16:48:59.930610Z","title":"arXiv preprint arXiv:2006.10726 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.930610Z"},"links":{"cited_paper":"/paper/2006.10726","citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:7809f0a0f8673cb241d079a05a9ba886165ac27cced2225ebbf2707542e2b09b","observation_id":"4f137be9-3d7f-4544-a0a8-e29fd88a4b46","resolution":{"observed_at":"2026-08-15T16:48:59.930610Z","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":"2026-08-15T16:48:59.935823Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.935823Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:e6289c3912fcfeccfea22d0006b23be8ce3ec33e5b002b04ad766c4b5430ad5d","observation_id":"fe5a56b4-e313-4de3-bfbc-f3743c2f53fc","resolution":{"observed_at":"2026-08-15T16:48:59.935823Z","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":"2026-08-15T16:49:00.224381Z","title":"In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing","venue":null,"work_id":"8141d4f2-b17f-458b-a18a-1f6a75307ace","year":2017},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.940375Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:eefe09459c6d6d48bf38cd218144528e33654bc87df40aed846800ea6056f272","observation_id":"1bba17eb-154d-4bef-84e1-cc28871e5df7","resolution":{"observed_at":"2026-08-15T16:49:00.231082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:49:00.206253Z","title":"In: Proceedings of the 31st ACM International Conference on Multimedia","venue":null,"work_id":"49966eab-dff9-48d1-97a8-7c4eb595ccc6","year":2023},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.945446Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:ba56f67386d4b59c8584f9a1a1244fa0869e53f3ae196aa20a9fc4e155fe1062","observation_id":"116e44dd-0947-4791-b412-8523205cb54e","resolution":{"observed_at":"2026-08-15T16:49:00.212096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:48:59.950100Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.950100Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:566d1509c868f578cab2b6c8a4801ba718e1cae33412f90772746fd8260db493","observation_id":"2bf5c4f2-78cc-4da6-ad11-d543df6b1c5e","resolution":{"observed_at":"2026-08-15T16:48:59.950100Z","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":"2026-08-15T16:49:00.174641Z","title":"In: Proceedings of the IEEE conference on computer vision and pattern recognition","venue":null,"work_id":"314cbf5d-7c45-496b-a03f-740799c57db9","year":2017},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.954885Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:43502b552cf7306f1e60527f29ba188939a485df3e79e30325b327692ba8d447","observation_id":"5a3098ec-9136-4d80-8b52-3b5a2e4c8a76","resolution":{"observed_at":"2026-08-15T16:49:00.180529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T16:48:59.959838Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.959838Z"},"links":{"citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:0154cb8ce537229df0d3d516dae2c440b0a6e9cabc545dc712958314997bf0ee","observation_id":"6a589edb-7c9f-4a81-8326-be8203188837","resolution":{"observed_at":"2026-08-15T16:48:59.959838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.07146","last_updated":"2017-06-14T06:06:48Z","snapshot_observed_at":"2026-08-16T07:54:28.918946Z","submitted_at":"2016-05-23T19:27:13Z","title":"Wide Residual Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.07146","snapshot_observed_at":"2026-08-15T16:48:59.964533Z","title":"arXiv preprint arXiv:1605.07146 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.964533Z"},"links":{"cited_paper":"/paper/1605.07146","citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:301c769df76ba0f6663437326844ff1dd705067836295c3dfc9c24222936ea09","observation_id":"abf85d7d-c696-461c-a307-33cab116eca6","resolution":{"observed_at":"2026-08-15T16:48:59.964533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-08-08T10:28:19.597631Z","submitted_at":"2017-10-25T18:30:49Z","title":"mixup: Beyond Empirical Risk Minimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09412","snapshot_observed_at":"2026-08-15T16:48:59.969794Z","title":"arXiv preprint arXiv:1710.09412 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T16:48:59.969794Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2508.20516"},"observation_digest":"sha256:7f4be16db0b5efbdb167b6d9c56acb510fc2901c98187857b5721405bb774b7f","observation_id":"7dcb5683-6d2c-4f15-8291-f0bc422a7c28","resolution":{"observed_at":"2026-08-15T16:48:59.969794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.20516","last_updated":"2025-08-28T07:57:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T09:36:47.641352Z","submitted_at":"2025-08-28T07:57:54Z","title":"DCFS: Continual Test-Time Adaptation via Dual Consistency of Feature and Sample"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":28},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2508.20516."}