{"as_of":"2026-08-10T07:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b608a9794926e631c711dbf2e797513916c10cdb07a1ff495da37e5c6a309f80","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:57:01.393367Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-20T05:25:15.311060Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-20T05:28:05.053060Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"cited_work":{"arxiv_id":"2509.02182","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.02182","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Perez, Merey Ramazanova, and Bernard Ghanem","venue":null,"work_id":"3312adb6-fa57-473e-a926-e5702db6fbeb","year":2025},"citing_paper":{"arxiv_id":"2605.19890","last_updated":"2026-05-19T14:18:46Z","snapshot_observed_at":"2026-08-03T02:46:23.698695Z","submitted_at":"2026-05-19T14:18:46Z","title":"GoTTA be Diverse: Rethinking Memory Policies for Test-Time Adaptation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-20T05:25:15.311060Z"},"links":{"cited_paper":"/paper/2509.02182","citing_paper":"/paper/2605.19890"},"observation_digest":"sha256:c8fce7105532fd46ed2cf0dc68143bf121869512b22c31b87090926a1277e69d","observation_id":"4e06a09d-3dbe-44e8-914a-5518d225a7d6","resolution":{"observed_at":"2026-05-20T05:28:05.056282Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2509.02182/citation-record","integrity":"/paper/2509.02182/integrity","json":"/paper/2509.02182/citation-record.json","paper":"/paper/2509.02182"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:57:02.087959Z","title":"Combating adver- saries with anti-adversaries","venue":null,"work_id":"aa483c74-a9b4-44d3-96f5-22747d1f6e54","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.191241Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:eee670e888fb3167002ff4946461332b70e51ce578ab5e78515921c8d1c99db2","observation_id":"12f90e8d-566c-4112-a65f-d25c2b81b5e8","resolution":{"observed_at":"2026-08-05T11:57:02.091818Z","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":"2002.06470","last_updated":"2021-07-18T16:17:28Z","snapshot_observed_at":"2026-08-10T02:30:14.599353Z","submitted_at":"2020-02-15T23:28:19Z","title":"Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.06470","snapshot_observed_at":"2026-08-05T11:57:01.195234Z","title":"Pitfalls of in-domain uncertainty es- timation and ensembling in deep learning","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.195234Z"},"links":{"cited_paper":"/paper/2002.06470","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:fa027f5b0836dee9c2db025fe5334190abba24d06eeebfe41a8c599e830fde17","observation_id":"a8539277-2c5c-4d95-b795-5cbd3fc1c754","resolution":{"observed_at":"2026-08-05T11:57:01.195234Z","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":"2026-08-05T11:57:02.078276Z","title":"Parameter-free online test-time adaptation","venue":null,"work_id":"83686a90-88f0-4474-bd71-4b6d07f0cdba","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.199205Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:c84cc91569c8537e88f73f261c51279f51519d73399cc0ecac6afe6456c517a9","observation_id":"e0dcfd88-100c-4a11-9ca1-fdd0c3c3d2fc","resolution":{"observed_at":"2026-08-05T11:57:02.081955Z","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":"2026-08-05T11:57:02.068712Z","title":"Parameter-free online test-time adaptation","venue":null,"work_id":"1bdce933-971a-4593-a8d3-3c803ab58bb0","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.202850Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:f807be75b75a279ccbf791e63a38a3f44932a55daf58cc8049eab79cba04a6d6","observation_id":"5b9a429f-ec41-47dc-a49a-a6df306cb7c2","resolution":{"observed_at":"2026-08-05T11:57:02.072117Z","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":"2026-08-05T11:57:02.058755Z","title":"Online con- tinual learning with natural distribution shifts: An empiri- cal study with visual data","venue":null,"work_id":"04fe2fee-df08-4438-80de-e17df4ea4fa8","year":2021},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.206414Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:f33055fe3673e876aef77de99a8718a572035a460f4903f94659156960157e7b","observation_id":"76f50032-5b54-44b7-8dc3-5aca1a611d90","resolution":{"observed_at":"2026-08-05T11:57:02.062263Z","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":"2026-08-05T11:57:02.049228Z","title":"Dataset shift in machine learning","venue":null,"work_id":"dea3d870-336b-4e90-aea9-c8b273b8b083","year":2009},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.209856Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:566b3ab91b7b5a73a0fcbf968218375044b3b86501c0ccd45c819303a3c4b863","observation_id":"656f937d-9f2f-46e1-9634-e9c40eb6080c","resolution":{"observed_at":"2026-08-05T11:57:02.052804Z","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":"2026-08-05T11:57:02.039582Z","title":"Contrastive test-time adaptation","venue":null,"work_id":"e0121be8-7529-43f3-a3b2-a1b2bbccd078","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.213335Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:1694415b7376a8db5717257b36b07818b8b124925bdb6458c13814cb8a1fbc13","observation_id":"757c1039-ed4d-4c91-80e1-acfcb1aeb46a","resolution":{"observed_at":"2026-08-05T11:57:02.043229Z","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":"2026-08-05T11:57:02.029589Z","title":"Evaluating the adversarial robustness of adaptive test-time defenses","venue":null,"work_id":"b8e6d777-3b1a-4402-8e77-813a3a109f20","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.216714Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:2ccb8c2dd3487637afe5aaf33dc705ab51aaed190328803e4f138f4b6c683fa9","observation_id":"7b77ec5d-9c0f-48b2-bbf5-38f597c92047","resolution":{"observed_at":"2026-08-05T11:57:02.033300Z","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":"2026-08-05T11:57:02.018905Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":"8d7458c8-fe5f-4776-ac1d-7fff997cbe3e","year":2009},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.220056Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:06c292e8e9273f2b91de24db6901c263f8648476c3afc2da18cc44157e8caa30","observation_id":"3b9ceafa-291e-4bfc-8cd9-4cb647d4f23d","resolution":{"observed_at":"2026-08-05T11:57:02.022988Z","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":"2207.03442","last_updated":"2023-06-21T16:57:19Z","snapshot_observed_at":"2026-07-06T13:28:57.815460Z","submitted_at":"2022-07-07T17:14:10Z","title":"Back to the Source: Diffusion-Driven Test-Time Adaptation","version":2},"cited_work":{"arxiv_id":"2207.03442","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.03442","snapshot_observed_at":"2026-08-05T11:57:01.525127Z","title":"Back to the Source: Diffusion-Driven Test-Time Adaptation","venue":"cs.LG","work_id":"2be90130-7f47-49bc-9799-b969a9342097","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.223638Z"},"links":{"cited_paper":"/paper/2207.03442","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:afdba58abd05a1fd911501c9da7060a46af52e468e06e3ba2f2054fd7d63d6b3","observation_id":"df60e415-6371-4b08-bd5a-8d21aca38bfa","resolution":{"observed_at":"2026-08-05T11:57:01.529563Z","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":"2302.01047","last_updated":"2023-03-24T07:23:36Z","snapshot_observed_at":"2026-08-09T07:30:48.876952Z","submitted_at":"2023-02-02T12:21:10Z","title":"Real-Time Evaluation in Online Continual Learning: A New Hope","version":3},"cited_work":{"arxiv_id":"2302.01047","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.01047","snapshot_observed_at":"2026-08-05T11:57:01.511551Z","title":"Real-Time Evaluation in Online Continual Learning: A New Hope","venue":"cs.LG","work_id":"3fa01b85-e0f1-4ec0-9661-899c23f662af","year":2023},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.228098Z"},"links":{"cited_paper":"/paper/2302.01047","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:56e2612286091e49cabd90a45ef9e28cb726af6d0008934d0b1891314ab6f670","observation_id":"4c2a3eb5-9041-4815-8366-99701d1cb21c","resolution":{"observed_at":"2026-08-05T11:57:01.515419Z","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":"1803.07728","last_updated":"2018-03-21T03:21:14Z","snapshot_observed_at":"2026-08-10T04:03:30.714422Z","submitted_at":"2018-03-21T03:21:14Z","title":"Unsupervised Representation Learning by Predicting Image Rotations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.07728","snapshot_observed_at":"2026-08-05T11:57:01.231924Z","title":"Un- supervised representation learning by predicting image rota- tions","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.231924Z"},"links":{"cited_paper":"/paper/1803.07728","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:5e6646f87bfb03ce52666ff8c75264c51fca591d180d4e4daa0023ce363ed348","observation_id":"1f72ac3f-7cea-4bdb-b49d-d7620fa9231f","resolution":{"observed_at":"2026-08-05T11:57:01.231924Z","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":"2026-08-05T11:57:02.008864Z","title":"Note: Robust continual test- time adaptation against temporal correlation","venue":null,"work_id":"493b8caa-787a-43af-84de-f8f2fb4d345e","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.235738Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:e3a60cfeaf718e054ac5baecad296ac684ed8564e0bcdaf6461b894f5e299863","observation_id":"61167754-976f-4393-825e-beeaa17332d9","resolution":{"observed_at":"2026-08-05T11:57:02.012624Z","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":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-07-06T04:04:16.777653Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-05T11:57:01.239178Z","title":"Explaining and harnessing adversarial examples","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.239178Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:9127f66cdf3ea017272fd35f21406e79a648219e9637074c2ae8f4c4f8f576dd","observation_id":"e6468c23-22b8-42a6-b55c-93a0cbebea40","resolution":{"observed_at":"2026-08-05T11:57:01.239178Z","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":"2026-08-05T11:57:01.998813Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"22151c01-c012-4d0d-843c-e20121610548","year":2016},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.242836Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:c6ff310905394bc1a0134f066c90eeb347b1cb9ae844dd813bc2efcc16c0a428","observation_id":"e772c443-517b-4602-897a-8b7218f41c45","resolution":{"observed_at":"2026-08-05T11:57:02.002381Z","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":"2026-08-05T11:57:01.988432Z","title":"Benchmarking neu- ral network robustness to common corruptions and perturba- tions","venue":null,"work_id":"4f18f52c-de94-4f20-a1ce-a36d713abc29","year":2019},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.246095Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:8c2a73ec4cd9225b319ff25f85f2b14cc3de067bcf5c24bf27005551dd931ed6","observation_id":"dd6f7f6b-3464-4e9e-b35a-4fba4d8371f8","resolution":{"observed_at":"2026-08-05T11:57:01.992430Z","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":"2026-08-05T11:57:01.977738Z","title":"The many faces of robustness: A critical analysis of out-of-distribution generalization","venue":null,"work_id":"eaa7e5b3-7afc-419c-b7bf-4f2a95f235ec","year":2021},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.249162Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:acd450e892695622874655b938634eff02bfd2ff78a05f34c0540555d2382bae","observation_id":"0bc986d3-d211-4258-a936-22cbfcccdb3b","resolution":{"observed_at":"2026-08-05T11:57:01.981401Z","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":"2026-08-05T11:57:01.967369Z","title":"Denoising diffu- sion probabilistic models","venue":null,"work_id":"85bfdca4-4570-4120-b0a0-bb5d0ddf8e67","year":2020},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.252562Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:d3f64e225558ffef64eb24fdb888a691360de4b6c1bdebbf01df7db9b1984802","observation_id":"2098c192-d527-47fa-ad69-20fa519d5183","resolution":{"observed_at":"2026-08-05T11:57:01.970990Z","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":"2026-08-05T11:57:01.957249Z","title":"Test-time classifier adjustment module for model-agnostic domain generaliza- tion","venue":null,"work_id":"43e180ae-a89a-4507-8720-4d030c5a91fa","year":2021},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.256054Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:fa911840ab40ede09e0cbb528cf7ea07620312b0940b279767691c61a8f62c1b","observation_id":"33fcfcd6-4066-41d6-a994-e8a4c1b6fd2f","resolution":{"observed_at":"2026-08-05T11:57:01.960909Z","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":"2026-08-05T11:57:01.946614Z","title":"Test-time classifier adjustment module for model-agnostic domain generaliza- tion","venue":null,"work_id":"e700d148-ceba-4e2b-a2ce-34340360526d","year":2021},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.260268Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:b4073b48513d084d12e74c9f49fab4770f42596b2f7a03d91d7f0350989b93c0","observation_id":"db03627c-b636-4e2d-93b8-61e089986ffe","resolution":{"observed_at":"2026-08-05T11:57:01.950198Z","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":"2026-08-05T11:57:01.935607Z","title":"3d common corruptions and data augmentation","venue":null,"work_id":"8e02fabd-7267-47c7-9815-4af6124e33e7","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.263343Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:98369ed150776d934e3895cd3932f186280d96bd27d84463eb071da1bc0078cb","observation_id":"006657b2-5a75-435c-a009-f4c81f6dbbe6","resolution":{"observed_at":"2026-08-05T11:57:01.939733Z","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":"2026-08-05T11:57:01.924765Z","title":"Overcoming catastrophic forgetting in neu- ral networks","venue":null,"work_id":"5e3a2c5b-409c-4f11-8a6e-703e0cf09bc1","year":2017},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.266455Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:87f991a2f1b4ebc6f7e049894b026d7404b3a9be849160e55764da461dab55d6","observation_id":"02dc2591-c4e9-447a-a10d-64a076079f08","resolution":{"observed_at":"2026-08-05T11:57:01.928762Z","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":"2206.13951","last_updated":"2022-06-28T12:14:15Z","snapshot_observed_at":"2026-07-06T13:25:27.826746Z","submitted_at":"2022-06-28T12:14:15Z","title":"Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.13951","snapshot_observed_at":"2026-08-05T11:57:01.269431Z","title":"Ro- bustifying vision transformer without retraining from scratch by test-time class-conditional feature alignment","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.269431Z"},"links":{"cited_paper":"/paper/2206.13951","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:099cec17ee50942fe57074d36796e1a10eae4395ec974ed462c14fb1cb091b94","observation_id":"5874ae33-7b1e-4858-9304-0e234f74f0e4","resolution":{"observed_at":"2026-08-05T11:57:01.269431Z","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":"2026-08-05T11:57:01.273026Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.273026Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:70e53372bc9670ba60fe4708e817ab9c3d42b9bb6cbf0deb951924d9a08f40ee","observation_id":"b9970589-23ab-4156-b9c8-02a503477838","resolution":{"observed_at":"2026-08-05T11:57:01.273026Z","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":"2026-08-05T11:57:01.908777Z","title":"Pseudo-label: The simple and effi- cient semi-supervised learning method for deep neural net- works","venue":null,"work_id":"986146f2-6cb8-4c9d-92ff-cb16fb62e0e4","year":2013},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.276137Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:b812a7474a8726659ccd2fcbd470fe824b4b3fb7e90d24f1a68711ad33c39346","observation_id":"0e581e9f-f40b-4f69-948e-3553fcade5f1","resolution":{"observed_at":"2026-08-05T11:57:01.912645Z","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":"1603.04779","last_updated":"2016-11-08T06:11:30Z","snapshot_observed_at":"2026-07-06T04:49:33.981350Z","submitted_at":"2016-03-15T17:44:32Z","title":"Revisiting Batch Normalization For Practical Domain Adaptation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.04779","snapshot_observed_at":"2026-08-05T11:57:01.279189Z","title":"Revisiting batch normalization for practical do- 9 main adaptation","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.279189Z"},"links":{"cited_paper":"/paper/1603.04779","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:6b9086d65c473f9c1c9142f81762817037fe1d95a56a66803bd0bdddcaf304aa","observation_id":"1617faeb-c0ca-4f50-bfad-112ef26403c7","resolution":{"observed_at":"2026-08-05T11:57:01.279189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08546","last_updated":"2021-06-01T09:06:00Z","snapshot_observed_at":"2026-08-09T17:34:41.446711Z","submitted_at":"2020-02-20T03:13:58Z","title":"Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08546","snapshot_observed_at":"2026-08-05T11:57:01.282564Z","title":"Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.282564Z"},"links":{"cited_paper":"/paper/2002.08546","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:6bab29115d977a76491898d98bfad5f8f54ae4ed6b78f81db83c80e05218c17a","observation_id":"ba0295eb-24e3-4220-92d6-ab7d6fc75a71","resolution":{"observed_at":"2026-08-05T11:57:01.282564Z","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":"2026-08-05T11:57:01.899208Z","title":"Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation","venue":null,"work_id":"4d81ded5-6dea-4458-aad0-d9bb098d8127","year":2020},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.286944Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:b8290a7667f27f07396b60469b3fbd4331977cb41548e74e9e9ec8f734494dfe","observation_id":"7ba12899-e8ea-4760-8126-ca67899a01ea","resolution":{"observed_at":"2026-08-05T11:57:01.902795Z","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":"2026-08-05T11:57:01.889505Z","title":"A comprehensive survey on test-time adaptation under distribution shifts, 2023","venue":null,"work_id":"9d0e527a-3767-4026-8ee1-2c941fb8bcf4","year":2023},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.290072Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:d13e86df6a1383a4fe97160c9a216efa692860678188121eb2b55ea67995b9ff","observation_id":"ea035b4d-9767-4926-b68f-be7687f38255","resolution":{"observed_at":"2026-08-05T11:57:01.893108Z","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":"2026-08-05T11:57:01.879480Z","title":"Ttt++: When does self-supervised test-time training fail or thrive? Advances in Neural Information Processing Systems , 34: 21808–21820, 2021","venue":null,"work_id":"0d3b6143-fddf-4943-8092-ae541d2d684d","year":2021},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.293149Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:04492617df43662288313fb87682245518f6978c929a8281859b8383b1601c5f","observation_id":"087917d1-c272-47e0-830b-6bccb758ae22","resolution":{"observed_at":"2026-08-05T11:57:01.883189Z","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":"2026-08-05T11:57:01.870242Z","title":"Kitting in the wild through online domain adaptation","venue":null,"work_id":"f729e788-e964-45cc-98a2-b4b6fa0c451e","year":2018},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.296380Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:32ec82af3463c0c2f606505ad48db15d15b1358b0b1db6a88f896b6d206a0561","observation_id":"b2055a52-e1a1-455c-893d-09dbea493c96","resolution":{"observed_at":"2026-08-05T11:57:01.873607Z","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":"2026-08-05T11:57:01.860018Z","title":"The norm must go on: dynamic unsuper- vised domain adaptation by normalization","venue":null,"work_id":"3c77640d-199b-42d3-8dde-fb68a6da2829","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.299539Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:181405852f75a6d6720ce9c79a73b8d2963264c0c32c530203607ab09a1f8a04","observation_id":"5599bdee-f8c4-4b1f-ac84-ac3d607c7e58","resolution":{"observed_at":"2026-08-05T11:57:01.864081Z","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":"2026-08-05T11:57:01.755321Z","title":"Act- mad: Activation matching to align distributions for test-time- training, 2022","venue":null,"work_id":"a48c17e2-503f-44bd-b302-282d277de556","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.302557Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:8c6b93030b2830b55b132966aa6fd1d687981854c34117dbdabd53d6c7cad2dc","observation_id":"a17d8ce7-ed7a-4881-8e16-7f359a315bf8","resolution":{"observed_at":"2026-08-05T11:57:01.759033Z","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":"2026-08-05T11:57:01.745426Z","title":"Trackingnet: A large-scale dataset and benchmark for object tracking in the wild","venue":null,"work_id":"94af94c3-9d90-4db7-85ca-d20994e230de","year":2018},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.305785Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:dc00799cf5876f4e226dfedf5b7fce63b63c2ed32ba25584861b2f04e4e17c10","observation_id":"f4b8f942-b2a4-47df-b45d-e5e15dbaae2e","resolution":{"observed_at":"2026-08-05T11:57:01.748942Z","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":"2026-08-05T11:57:01.734410Z","title":"Efficient test-time model adaptation without forgetting","venue":null,"work_id":"df209c19-2377-42a8-b0bb-c0a320094054","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.308782Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:a24de1903d5fe8fe9ed585069a81f23324432251d5b7b356bd0c84b1a5fa2a27","observation_id":"72809687-e345-4abb-b705-bdd432f39671","resolution":{"observed_at":"2026-08-05T11:57:01.738696Z","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":"2026-08-05T11:57:01.724550Z","title":"To- wards stable test-time adaptation in dynamic wild world","venue":null,"work_id":"998837d1-8e5b-4b15-9323-56040605a66c","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.312315Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:04690ace392ae5d28bfbc16e039d99398c7c99623e4e546ab021294ba15fc564","observation_id":"f9d4055a-0a87-41fc-b134-105c65c9600c","resolution":{"observed_at":"2026-08-05T11:57:01.728174Z","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":"2026-08-05T11:57:01.714813Z","title":"Pytorch: An imperative style, high-performance deep learning library","venue":null,"work_id":"ff68f1c3-f3e7-456c-ab99-df7ae1dda80c","year":2019},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.315641Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:4084e8164c958300e748a9d4c6cddd813f440c5cf52b90b9e96d7dc465f00ddc","observation_id":"468667da-cf8f-473c-8ed1-523d4a71de7e","resolution":{"observed_at":"2026-08-05T11:57:01.718320Z","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":"2026-08-05T11:57:01.704306Z","title":"Enhancing adversarial robustness via test-time transforma- tion ensembling","venue":null,"work_id":"af82b56f-2ea9-4c7d-a6f2-6b35606c3ae2","year":2021},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.318867Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:303fc5db15fe369a115259436956d5b7a53442099b24a7498b9788f4a454c186","observation_id":"f6098243-ea56-4970-bca5-28d9eae841af","resolution":{"observed_at":"2026-08-05T11:57:01.707953Z","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":"2026-08-05T11:57:01.693675Z","title":"Rdumb: A simple approach that questions our progress in continual test-time adaptation","venue":null,"work_id":"7b644cac-a017-48f0-979a-837f375db07d","year":2024},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.322021Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:9abefffa9f80a2065c2f3a8c6bbc70a211b96ed1ef92a04e4d27a64d57c55bcf","observation_id":"de18d3e7-908a-4c61-86bc-cb3890a34f24","resolution":{"observed_at":"2026-08-05T11:57:01.697302Z","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":"1702.00824","last_updated":"2017-03-24T18:52:39Z","snapshot_observed_at":"2026-08-08T09:39:51.712313Z","submitted_at":"2017-02-02T20:58:02Z","title":"YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.00824","snapshot_observed_at":"2026-08-05T11:57:01.325083Z","title":"Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.325083Z"},"links":{"cited_paper":"/paper/1702.00824","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:f3cbc221863ed6b7bbd2b5edc992717641571178589e02ef1caee1df98b95864","observation_id":"acc6c47e-b1f7-4b62-b823-2a9b0bd6f2a3","resolution":{"observed_at":"2026-08-05T11:57:01.325083Z","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":"2026-08-05T11:57:01.683769Z","title":"Adapting visual category models to new domains","venue":null,"work_id":"a1ba0c6a-ef22-42b7-a3e0-9b3aeebf9846","year":2010},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.328568Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:7d346896bd8ac2327d24a566adea880bcc8a5f6a73327d50378990eb08482a56","observation_id":"1f9e7264-92cd-4396-8bc5-314a1264145c","resolution":{"observed_at":"2026-08-05T11:57:01.687275Z","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":"2026-08-05T11:57:01.673437Z","title":"Acdc: The adverse conditions dataset with correspondences for se- mantic driving scene understanding","venue":null,"work_id":"b369c66a-9598-408f-9da9-8dac6387404c","year":2021},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.331791Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:206b4371045234bb3eb70c8f8d1068248f91d2fedcaa191900f4f79425c9d1d5","observation_id":"a279c538-f04e-4d43-a45a-8da13284af54","resolution":{"observed_at":"2026-08-05T11:57:01.677129Z","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":"2026-08-05T11:57:01.663410Z","title":"Improving robustness against common corruptions by covariate shift adaptation","venue":null,"work_id":"61008acb-b9dc-4923-83fa-8432d8aa89ef","year":2020},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.334853Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:512dc5c5bcb4f3ec49b15489a37e23a83a7d991055fe68339bd0e6a8b59a03f0","observation_id":"9ce2c862-b4cf-4916-8954-0df45717f0e6","resolution":{"observed_at":"2026-08-05T11:57:01.666927Z","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":"2026-08-05T11:57:01.653211Z","title":"Online learning and online convex optimization","venue":null,"work_id":"ac655f58-689c-45fc-a40b-17e6ca554324","year":2012},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.338299Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:b110342a44276a9480dcc9cf5412e6bb24c44383b43f60382f4dab9106c0fd29","observation_id":"0830964b-69ea-4d96-8723-391c88b56f99","resolution":{"observed_at":"2026-08-05T11:57:01.656960Z","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":"2206.02721","last_updated":"2022-10-14T09:44:43Z","snapshot_observed_at":"2026-07-06T13:17:55.016298Z","submitted_at":"2022-06-06T16:23:05Z","title":"Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering","version":2},"cited_work":{"arxiv_id":"2206.02721","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.02721","snapshot_observed_at":"2026-08-05T11:57:01.441161Z","title":"Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering","venue":"cs.CV","work_id":"4d3146df-ccab-4b24-9d42-3a70c87d03ca","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.342416Z"},"links":{"cited_paper":"/paper/2206.02721","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:f6de231807a9e7220075371a9d61bec1abdb0f1089c0d9e2dc582574ebe8bebe","observation_id":"715275f9-33e3-45b2-90f2-86ab2fe03744","resolution":{"observed_at":"2026-08-05T11:57:01.447205Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:57:01.349507Z","title":"Test-time training with self- supervision for generalization under distribution shifts","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.349507Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:064d8d22e8bc920575411defaca561a3c965e53ba45b49b51c0b4e46527a78fb","observation_id":"51b14700-42ab-4390-b358-766a9ff0988a","resolution":{"observed_at":"2026-08-05T11:57:01.349507Z","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":"2026-08-05T11:57:01.637413Z","title":"Unbiased look at dataset bias","venue":null,"work_id":"5db5d269-54fe-4150-bd0f-3bba8131d7d7","year":2011},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.352717Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:7d560ee90fdcc6dc7f51bdb48f6acb6e772294ef087230dab0b3957a60eb142b","observation_id":"d2b35dd2-8456-4254-bc62-e922430bd574","resolution":{"observed_at":"2026-08-05T11:57:01.640941Z","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":"2026-08-05T11:57:01.626725Z","title":"Adversarial discriminative domain adaptation","venue":null,"work_id":"f7515b36-c16f-4448-843d-efb5d476aca4","year":2017},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.355962Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:200f8be20d849635639ebc63aebd1c6b3dcbbabf39b829b9e15ad8116b4a4843","observation_id":"ec72aef7-98c8-4c9d-8231-7400d574c463","resolution":{"observed_at":"2026-08-05T11:57:01.630905Z","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":"2006.10726","last_updated":"2021-03-18T17:58:01Z","snapshot_observed_at":"2026-07-06T09:30:32.320227Z","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":"2026-08-05T11:57:01.362729Z","title":"Tent: Fully test-time adaptation by entropy minimization","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.362729Z"},"links":{"cited_paper":"/paper/2006.10726","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:d84856c23fb84b3aee334f8ae0edf55b3b71e3835507db598dffa7e2cf07ef54","observation_id":"3371ae06-a9b9-4074-9038-34de27f589d9","resolution":{"observed_at":"2026-08-05T11:57:01.362729Z","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":"2026-08-05T11:57:01.616484Z","title":"Continual test-time domain adaptation","venue":null,"work_id":"68a1eec0-b59d-4c9e-a241-c66c936dcb44","year":2022},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.366147Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:8e53a7d51232723211b384f51f31197d50c2e6c55ed72c418c3ca4320712b8a1","observation_id":"312ad108-991b-4a90-a5b0-770d70a6e936","resolution":{"observed_at":"2026-08-05T11:57:01.620025Z","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":"2026-08-05T11:57:01.606532Z","title":"Robust test- time adaptation in dynamic scenarios","venue":null,"work_id":"608ec371-066c-4a04-a5ff-5e22b93ff51a","year":2023},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.369690Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:1b97472a69b2b5494de649f2e7c4b6ce2c0b7aebf9a7c85a19a987cd945bae98","observation_id":"581483fa-26dc-4653-b274-9d0e6d704603","resolution":{"observed_at":"2026-08-05T11:57:01.610110Z","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":"2110.09506","last_updated":"2022-10-10T20:03:06Z","snapshot_observed_at":"2026-08-06T19:28:12.594000Z","submitted_at":"2021-10-18T17:55:11Z","title":"MEMO: Test Time Robustness via Adaptation and Augmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09506","snapshot_observed_at":"2026-08-05T11:57:01.372899Z","title":"Memo: Test time robustness via adaptation and augmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.372899Z"},"links":{"cited_paper":"/paper/2110.09506","citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:41bbf06f86594d00cde4b6aab836fd13983335f06f91aa06e2fa42d993e0cb7b","observation_id":"15b853c9-e60b-466b-922b-f46c4f5f74f4","resolution":{"observed_at":"2026-08-05T11:57:01.372899Z","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":"2026-08-05T11:57:01.596244Z","title":null,"venue":null,"work_id":"720b69ad-273c-4d15-b074-eb54d3d9bcb9","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.376222Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:48fb0757d79b849f37a768d06112950b28afcf0b4f3ecb9c46064d5438889408","observation_id":"7780b794-10cc-41cd-b87c-967550ca7078","resolution":{"observed_at":"2026-08-05T11:57:01.599824Z","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":"2026-08-05T11:57:01.585519Z","title":"This dynamic approach enables us to precisely control the severity level of each corruption, closely mimicking real-world scenarios","venue":null,"work_id":"cac89a57-ac80-4ef5-87e3-2e7e979026a9","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.379863Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:1202b4b20244844d5f9cb074be7bd99c0e8c6fc96e9ab2df7d049ddd91ad0abb","observation_id":"ba39155c-410d-44df-a001-23d9f357f0f3","resolution":{"observed_at":"2026-08-05T11:57:01.589128Z","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":"2026-08-05T11:57:01.575036Z","title":"ViT outperforms ResNet-18, even at lower batch sizes, due to its reduced sensitivity to batch size [36]","venue":null,"work_id":"710c5289-3273-4fa9-b085-904b11349d1e","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.383162Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:1df652bb056f4ffa59aa486de521c6ba2b08e7f01d8533554b079fb0aa7a26be","observation_id":"b5df348c-a53c-453e-924e-ed9151365fba","resolution":{"observed_at":"2026-08-05T11:57:01.579197Z","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":"2026-08-05T11:57:01.565187Z","title":null,"venue":null,"work_id":"8c84d8f4-fd91-444b-b1ff-5ec9d5629f76","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.386465Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:81f26a921818d5f1cee4f3e34adbc376fdc8629473fe1a53c72f5b99757704e0","observation_id":"e1454f71-90cd-4bde-b511-50950826bfed","resolution":{"observed_at":"2026-08-05T11:57:01.568448Z","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":"2026-08-05T11:57:01.555281Z","title":"These examples are generated during the memory bank initialization process","venue":null,"work_id":"569b26f5-9fce-4a1f-b6ca-9aecfdbbb2d9","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.389711Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:c530fd465f4e64220417d46b40df74c0877184fa935138ebcbcc9d40a39e78a0","observation_id":"7da679d6-b631-4564-840d-5a39a120bf1c","resolution":{"observed_at":"2026-08-05T11:57:01.558758Z","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":"2026-08-05T11:57:01.545002Z","title":"These tables contain additional data and de- tailed results","venue":null,"work_id":"8d3be6ab-d2b8-48f5-868d-258a4a1803f9","year":null},"citing_paper":{"arxiv_id":"2509.02182","last_updated":"2025-09-02T10:45:33Z","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T11:57:01.393367Z"},"links":{"citing_paper":"/paper/2509.02182"},"observation_digest":"sha256:7b804c765086129f61e9dddf768378b4f6a4238e6bcd98b96e61c230116d6453","observation_id":"902921e6-b215-4037-9e0c-70400e90734d","resolution":{"observed_at":"2026-08-05T11:57:01.548665Z","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":"2509.02182","last_updated":"2025-09-02T10:45:33Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T06:41:05.857199Z","submitted_at":"2025-09-02T10:45:33Z","title":"ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":3,"verified_fuzzy":42},"total_outbound_references":58},"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 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2509.02182."}