{"as_of":"2026-08-11T08:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3eaee94b643a09a2bf1215d80ceabda4c19894b3dba64bd5ec27984acf39d24f","coverage":[{"denominator":85,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":85,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:45:00.010060Z","state":"measured"},{"denominator":85,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":85,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2507.22438/citation-record","integrity":"/paper/2507.22438/integrity","json":"/paper/2507.22438/citation-record.json","paper":"/paper/2507.22438"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:44:59.818210Z","title":"Domain-adaptive 2d human pose estimation via dual teachers in extremely low-light conditions","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.818210Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:902478c3d6e6b1fc59c78417255b6bbc7bb8f0f946f65c8b6582481d2b1f0b88","observation_id":"f34589c5-f55e-4d39-9700-d31318aad97d","resolution":{"observed_at":"2026-08-06T11:44:59.818210Z","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":"2026-08-06T11:44:59.821110Z","title":"Mixmatch: A holistic approach to semi-supervised learning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.821110Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:49e4ae4041dea69af8fd2b0415c44553064bc015c0df40378fe585edfc691706","observation_id":"fcf6e880-eb16-4f54-99ad-e181fb94089a","resolution":{"observed_at":"2026-08-06T11:44:59.821110Z","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":"2026-08-06T11:44:59.823554Z","title":"Dhp19: Dynamic vision sen- sor 3d human pose dataset","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.823554Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:138eeec5e565442e0783299678780ed10b2446f0a6bfbc7da2e5c9f3d4de87e3","observation_id":"c1c8f4ac-4494-4e0c-87ba-7362d3334f87","resolution":{"observed_at":"2026-08-06T11:44:59.823554Z","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":"2026-08-06T11:44:59.826122Z","title":"Mitigating motion blur in neural radiance fields with events and frames","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.826122Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:06f98480d4ce4aa01f809a92cddcd649c3af2ac0896aa57a781891e1bb1d7d92","observation_id":"0e6e5b3c-01d7-48d6-9251-8c935f61c847","resolution":{"observed_at":"2026-08-06T11:44:59.826122Z","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":"2026-08-06T11:44:59.828618Z","title":"N-rod: A neuromorphic dataset for synthetic-to-real domain adaptation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.828618Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:19f62ab02b0b2832f9f653db8477424ffcd638267616ae8adc1f3044b202c321","observation_id":"8beb91db-93a1-4a32-bd96-404912f82834","resolution":{"observed_at":"2026-08-06T11:44:59.828618Z","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":"2026-08-06T11:44:59.830951Z","title":"Openpose: Realtime multi-person 2d pose estimation using part affinity fields","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.830951Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:1db21b28372f08b798247739e0a05b3243c8c989eb3182bc4cee69b154b4ff90","observation_id":"fc1bb048-c12a-46af-9c3d-b0efc7a40f86","resolution":{"observed_at":"2026-08-06T11:44:59.830951Z","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":"2026-08-06T11:45:00.734660Z","title":"Cascaded pyramid network for multi- person pose estimation","venue":null,"work_id":"b517758c-04e7-459e-b097-48e68e20c585","year":2018},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.833445Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:40729f0d4f27184deb44be0f3d856b306cb7cf67834c253f835331a425783267","observation_id":"73614c8c-a8ee-484b-aa3d-4f7810d291d1","resolution":{"observed_at":"2026-08-06T11:45:00.737380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.727441Z","title":"Domain adaptive pose estimation via multi- level alignment","venue":null,"work_id":"1b70f9db-c08c-4a8a-bd64-0d7c358e70c9","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.835665Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:43ff09f5c9d1b6b6fb82f5c91873f44b79cd6c08fc445a2b12b16aa852ae029a","observation_id":"cf9896ea-f88e-4318-ae68-7171b28afac3","resolution":{"observed_at":"2026-08-06T11:45:00.729864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.720634Z","title":"Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation","venue":null,"work_id":"8016da90-e9a8-4028-b028-a70379f509ec","year":2020},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.837949Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:87cb4dd1994caa934030e5b6b996b369e055932c4af820b41d7da2d0120988b1","observation_id":"2b154ce3-0e94-46fd-bc59-6120526e881f","resolution":{"observed_at":"2026-08-06T11:45:00.723091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.713950Z","title":"Learning adaptive dense event stereo from the image domain","venue":null,"work_id":"7cae5ac9-8ba6-49e7-99c0-46917d2f2d7b","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.839952Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:571c66fd6b51a482e4f33408b2c0daaede0292fb746dddb017da9aa8c936a654","observation_id":"aeafa848-5614-40cd-9a31-a7d61eaddde3","resolution":{"observed_at":"2026-08-06T11:45:00.716222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.706833Z","title":"Non-coaxial event-guided motion deblurring with spa- tial alignment","venue":null,"work_id":"a79e9d14-a538-4894-8414-2eeeefd9cb58","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.841969Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:1ce0a0a286071528b7128c28e79790e01872ecb97e13146f3baef2ff097eaf89","observation_id":"bf776f8b-6e2a-4dfb-91b7-6a528f16660a","resolution":{"observed_at":"2026-08-06T11:45:00.709297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.699329Z","title":"Label-free event-based object recognition via joint learning with image reconstruction from events","venue":null,"work_id":"6c979218-a061-4630-86cf-66beacc17109","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.844190Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:743894f5b19d1e51eeb458c23ef3e84ab14f248b7ce436c22c3adc1aaac92bac","observation_id":"18b5dece-0bbc-49c7-b871-f0238fa6d8d6","resolution":{"observed_at":"2026-08-06T11:45:00.702199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.691919Z","title":"Temporal event stereo via joint learning with stereoscopic flow","venue":null,"work_id":"14e89e2a-cca8-473c-a1a9-031681199984","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.846336Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:6dff1826363486359417d19ee4e23df6fe2acbdf0575bcf17583bdbac270f7df","observation_id":"6056bea3-35e3-4a7e-9432-a7acfb80c521","resolution":{"observed_at":"2026-08-06T11:45:00.694379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.684838Z","title":"Tta-evf: test-time adaptation for event-based video frame interpolation via reliable pixel and sample estimation","venue":null,"work_id":"6489f101-7bad-4b0b-b0e1-c84da8600e3b","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.848552Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:4515a1277a0561aefdd931cea483362307bd87b46e702218a835f1685ea9442f","observation_id":"bd041c14-c26b-4bd5-ad1e-df96e59e8fcc","resolution":{"observed_at":"2026-08-06T11:45:00.687504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.677763Z","title":"Finding meaning in points: Weakly supervised semantic segmentation for event cameras","venue":null,"work_id":"b60c5c38-992e-4e27-80e3-36b1e6a229a7","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.850847Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:02a1af1b47fd28d2b307c8704db4f5ff74143ac7c0f5d420f1e8b25e36ac773c","observation_id":"49ed4c93-a0a3-4d6f-976e-67fc52d694b8","resolution":{"observed_at":"2026-08-06T11:45:00.680335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.670032Z","title":"A benchmark dataset for event-guided human pose estimation and tracking in extreme conditions","venue":null,"work_id":"879fda8a-3abb-4d2a-b7ab-b1f29b473ed5","year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.853014Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:8c8efe962fb61d2daf9e29f1f37a45b4fcd32c13209be929dcce314523de3a89","observation_id":"1d0ada92-4551-4fb3-8d8c-fe60a37b6f30","resolution":{"observed_at":"2026-08-06T11:45:00.673058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.663199Z","title":"Poison: Human pose estimation in insufficient lighting condi- tions using sensor fusion","venue":null,"work_id":"983b0865-3aa1-4fad-a092-8961146b1a26","year":2020},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.855569Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:51e5775f518a29a676ecd80f588787cf8510a961e64c07c7b7d2c1381516b4b8","observation_id":"fc3be375-cceb-4623-a229-a90bd881558e","resolution":{"observed_at":"2026-08-06T11:45:00.665655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.08220","last_updated":"2023-12-13T15:42:04Z","snapshot_observed_at":"2026-07-06T17:01:09.790694Z","submitted_at":"2023-12-13T15:42:04Z","title":"EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset","version":1},"cited_work":{"arxiv_id":"2312.08220","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.08220","snapshot_observed_at":"2026-08-06T11:45:00.241910Z","title":"EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset","venue":"cs.CV","work_id":"19427656-6a9a-4844-b92f-980f2380ef6f","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.858215Z"},"links":{"cited_paper":"/paper/2312.08220","citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:fcd4d99747e8e22741fc212862268664b45c24dc9c9f4f175465af47094ee152","observation_id":"a0111aef-769c-4b92-885c-83c307de6d31","resolution":{"observed_at":"2026-08-06T11:45:00.244790Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.655903Z","title":"Rmpe: Regional multi-person pose estimation","venue":null,"work_id":"095c1724-ba4d-4885-a798-0457d42a007c","year":2017},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.860731Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:30a9df53cc8a016e1076c623bb264b23e0117e773f3c87b40c015de72834e00a","observation_id":"3720741b-db10-4629-974b-8cc506899494","resolution":{"observed_at":"2026-08-06T11:45:00.658757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.04310","last_updated":"2018-05-11T10:30:56Z","snapshot_observed_at":"2026-08-03T22:30:45.159306Z","submitted_at":"2018-05-11T10:30:56Z","title":"Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer","version":1},"cited_work":{"arxiv_id":"1805.04310","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.04310","snapshot_observed_at":"2026-08-06T11:45:00.229455Z","title":"Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer","venue":"cs.CV","work_id":"32d6d6d5-cccc-4952-a079-cdf5cbb02e9c","year":2018},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.863160Z"},"links":{"cited_paper":"/paper/1805.04310","citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:1883d64d501f8564ceb91c28bd4cc0012caf2e01264e9b5b57199c0991b7ceb9","observation_id":"598de2fa-7b6b-445c-9784-6a1164e88f37","resolution":{"observed_at":"2026-08-06T11:45:00.232927Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.648527Z","title":"A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estima- tion","venue":null,"work_id":"83182d96-9ab6-4fe3-af88-b4701a4b530f","year":2018},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.865952Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:ce19c0c468984ede45da58791b6f8d2a9764160f4346d82791a4a59045e41cac","observation_id":"d6bb5ac4-7993-4fd7-9003-c7d840f5abb4","resolution":{"observed_at":"2026-08-06T11:45:00.651324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.641808Z","title":"Event-based vision: A survey","venue":null,"work_id":"fb09f133-de58-4cc3-a9ce-eddf8b0c4a5a","year":2020},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.868024Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:698ac6361a7da7d98c35202b4aec1829b5c76bf3846923a8a33a2e13cf4f0139","observation_id":"87a44042-be9b-4473-a027-8d7e4746357b","resolution":{"observed_at":"2026-08-06T11:45:00.644183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.634355Z","title":"Unsupervised domain adaptation by backpropagation","venue":null,"work_id":"5cdf5736-1a84-4661-a4ba-45e73debe773","year":2015},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.870732Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:db08382a138e15ffb81e3022442276636a9bc1b6c2058bebaf19a7c70b949d59","observation_id":"be861a4d-e39b-46a1-8edb-bf0abe88e9c1","resolution":{"observed_at":"2026-08-06T11:45:00.637533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.627756Z","title":"Bottom-up human pose estimation via disentan- gled keypoint regression","venue":null,"work_id":"4d477339-41b1-4778-a6d5-92d5d1db4248","year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.872996Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:043ced8aa9acbbf7153ff7e9105fae07209515cedd62acd5b2a5a01424a1e100","observation_id":"40391a5d-31bf-4b58-85be-41082df396ce","resolution":{"observed_at":"2026-08-06T11:45:00.630120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.621158Z","title":"Learning non-maximum suppression","venue":null,"work_id":"463c57dd-e65f-4aaa-b27c-acece4ecb142","year":2017},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.875112Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:ef1c987002e91601dd05105a0e32414cf41ab58fd6e5d66365b6e890de3e7348","observation_id":"ad922e27-b342-48b3-961b-28297efd38d5","resolution":{"observed_at":"2026-08-06T11:45:00.623402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.614117Z","title":"Learning to exploit multiple vision modalities by using grafted networks","venue":null,"work_id":"e5950eee-ef6c-44f9-8087-1dca7a26f4b7","year":2020},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.877337Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:f6906e9bc6eca162f6a3c53098aaf49fe73981bc74ba4b8a35b7344ed122c431","observation_id":"6399081c-220a-40e1-ac30-af8d7d365e0b","resolution":{"observed_at":"2026-08-06T11:45:00.616548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09793","last_updated":"2024-03-22T10:36:32Z","snapshot_observed_at":"2026-07-06T15:17:33.651803Z","submitted_at":"2023-04-19T16:21:14Z","title":"Event-based Simultaneous Localization and Mapping: A Comprehensive Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09793","snapshot_observed_at":"2026-08-06T11:44:59.879374Z","title":"Event-based simultaneous localization and mapping: A com- prehensive survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.879374Z"},"links":{"cited_paper":"/paper/2304.09793","citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:7668d4a0aa00e264653efd82b65c865f007540f6f437ec71454c991a8603a868","observation_id":"58fcac0c-ca4d-4024-b2bd-1e0899406bbe","resolution":{"observed_at":"2026-08-06T11:44:59.879374Z","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":"2026-08-06T11:45:00.605049Z","title":"Semi-supervised 2d hu- man pose estimation driven by position inconsistency pseudo label correction module","venue":null,"work_id":"52018d52-4ed2-477c-b58e-25f0a67521f3","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.881746Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:30c4407c93151d195a0877475bbcf1eb69e24513da095ec23d0a8daaca549ed7","observation_id":"6d60503b-e891-4a43-9d74-3e7d92951df5","resolution":{"observed_at":"2026-08-06T11:45:00.607629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.598046Z","title":"Deepercut: A deeper, stronger, and faster multi-person pose estimation model","venue":null,"work_id":"21d17976-dc5a-4006-823a-a29974eb7993","year":2016},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.883645Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:21a356d4b623ba0a3a430c7a3940bb4bce04ad201abfdd163933a643e7e68e40","observation_id":"a800c8de-92ac-4f0a-8555-fe37b8bc319c","resolution":{"observed_at":"2026-08-06T11:45:00.600546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.591502Z","title":"Multi-person pose estima- tion with local joint-to-person associations","venue":null,"work_id":"d12ca30a-8706-431c-aa3a-3a2088c6c6d7","year":2016},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.885763Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:8dcdd803791033a4faa1926ebede23834b610f842110e82fa56860ca5ad56abb","observation_id":"ee3c8f56-974b-4230-b7f2-ee14a7f34d8a","resolution":{"observed_at":"2026-08-06T11:45:00.594006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.584690Z","title":"Towards ro- bust event-based networks for nighttime via unpaired day-to- night event translation","venue":null,"work_id":"521c0268-7020-42f6-a0a8-e61900bced58","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.887968Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:d7d4f6aa1e8b168c37b6e17ec8175621a7632ad8b55cf88c9cd38a298f171261","observation_id":"a2591386-b4d3-4657-a8e7-3b08b3b9c28b","resolution":{"observed_at":"2026-08-06T11:45:00.587461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.577929Z","title":"Unsupervised domain adaptation for training event-based networks using contrastive learning and uncorrelated conditioning","venue":null,"work_id":"73708ae1-8583-4669-ae15-020c9f5d0fd8","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.890014Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:9985964618247f40d4580a5f967f60ee19f2a6acb42d016856887f97fc03f4a1","observation_id":"d06e9c4e-3307-442f-9230-42cb2500a905","resolution":{"observed_at":"2026-08-06T11:45:00.580573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.571341Z","title":"Evhandpose: Event-based 3d hand pose estimation with sparse supervision","venue":null,"work_id":"a12bd03b-410c-426f-85b0-d51a8d8b7c79","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.892647Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:7126fe1457b31f2f783226e999bf809528c9315ba4c3ee33e7a28435ad57cfef","observation_id":"fd6755c2-1b0f-4606-ad62-ebac970d8664","resolution":{"observed_at":"2026-08-06T11:45:00.573700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.563605Z","title":"Complementing event streams and rgb frames for hand mesh reconstruction","venue":null,"work_id":"9fa8d057-f544-4688-bc5e-23b1477fdabe","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.894732Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:9332b1ed9ab1b5356000478b39d2d67754e1a48d78cbb7af0c6f924e070874b5","observation_id":"424a09ff-c5e9-425a-b969-4b77ffb2849e","resolution":{"observed_at":"2026-08-06T11:45:00.566375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.556087Z","title":"A unified framework for domain adaptive pose estimation","venue":null,"work_id":"29a56a3d-c67f-4461-93ee-7c6af6beaca7","year":2022},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.896734Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:44cb3872e0953374a4595a28fd3f883038bb005c0c1ce23ead72002c2b6d7667","observation_id":"8b2ec3cd-f221-495e-b8b7-d2c63e89c1ad","resolution":{"observed_at":"2026-08-06T11:45:00.558563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.547560Z","title":"Ev-tta: Test-time adaptation for event-based object recognition","venue":null,"work_id":"eb2b1c35-404a-424d-8f3d-25dba275cd25","year":2022},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.899300Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:66cdbc98dcaeba0c3878be222b898cfd363a8cb0e5d98a7e2e2b1a9bb4069b67","observation_id":"c5f97591-5b41-4d7e-a48d-296d5e9eeecc","resolution":{"observed_at":"2026-08-06T11:45:00.550506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.14930","last_updated":"2024-08-28T09:50:00Z","snapshot_observed_at":"2026-08-10T21:25:14.011697Z","submitted_at":"2024-08-27T10:09:17Z","title":"CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring","version":2},"cited_work":{"arxiv_id":"2408.14930","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.14930","snapshot_observed_at":"2026-08-06T11:45:00.210914Z","title":"CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring","venue":"cs.CV","work_id":"ffd10f16-37dd-431c-a26e-461886ee43e1","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.901404Z"},"links":{"cited_paper":"/paper/2408.14930","citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:fa9874b41dd8f85504d68ae000b41b93c98c3d09db4cd6e07a41fdc7698d255f","observation_id":"8309b0f0-1fdd-46d9-b744-c9fea67b874c","resolution":{"observed_at":"2026-08-06T11:45:00.213735Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.540081Z","title":"Frequency- aware event-based video deblurring for real-world motion blur","venue":null,"work_id":"d6ec737c-0a24-40d3-b05f-1eb72700208e","year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.903635Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:4f80d1e739c9ce592b39ccfe4f6fd363a06140817deeae4b238e9808eb950c7d","observation_id":"9ee9068d-6495-4352-9b2e-ce61902e74a8","resolution":{"observed_at":"2026-08-06T11:45:00.542487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.533025Z","title":"Towards real-world event-guided low-light video enhancement and deblurring","venue":null,"work_id":"19031edf-d0fd-4d1b-9c63-ddce1bfe3856","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.906330Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:f243b3c4b9f38abeadaf46b10d59fee47f3c61a9fd6d9476749f3a310238b8cb","observation_id":"ba1b0478-2316-401f-9abd-c4fa82f4c0c4","resolution":{"observed_at":"2026-08-06T11:45:00.535892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.525817Z","title":"Pifpaf: Composite fields for human pose estimation","venue":null,"work_id":"4d47f479-f590-49ab-bace-e5980b9f3d4f","year":2019},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.908620Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:6a88c87dcfb342940d12b4cfcd8aa1db9d5fc9b36e072cc08ec4e1eb2c187bc1","observation_id":"df7b0879-458d-444a-b4e2-ce27dee90b1b","resolution":{"observed_at":"2026-08-06T11:45:00.528588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.518357Z","title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","venue":null,"work_id":"3b477902-b7db-4ad7-a6b4-64e122d34284","year":2013},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.911009Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:1a197c000b5b2c193f89fa1183d6c1fe12daff29d5b0d33c0a5c2139c6c2d78d","observation_id":"9f2c1034-5cfe-4248-a703-2d129d77239f","resolution":{"observed_at":"2026-08-06T11:45:00.521209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:44:59.913101Z","title":"Event-assisted low-light video object segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.913101Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:5fdaa75607fc0c8753f5d2f8d8f842a62721151a19715037cf4417071b14b227","observation_id":"0d6f3b47-82df-4268-9de8-b9cdb0a60a47","resolution":{"observed_at":"2026-08-06T11:44:59.913101Z","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":"2026-08-06T11:45:00.507341Z","title":"Towards robust event-guided low-light image en- hancement: a large-scale real-world event-image dataset and novel approach","venue":null,"work_id":"828976ab-999f-467e-9b5d-cecb49bd263c","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.915247Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:791133ad69b6cefdaacb961b2fa922fbd90b6bf895c0e48de919b7d40c83853f","observation_id":"d790142c-e8cd-4290-9157-04a2dc33eccf","resolution":{"observed_at":"2026-08-06T11:45:00.509797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.501206Z","title":"Coherent event guided low-light video en- hancement","venue":null,"work_id":"0c1e8df0-de32-4f4a-a9ae-c52b187a8c16","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.917708Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:18105aa2fccd04e3befc59260e78d245c9d6bdb70dc5919a30d343ad950fdc1f","observation_id":"54210cf6-1d16-41cd-b961-bc8ce2e71dd5","resolution":{"observed_at":"2026-08-06T11:45:00.503495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.494358Z","title":"Seeing motion at nighttime with an event camera","venue":null,"work_id":"e2642f60-dd19-4ad9-8068-fc097e7bd47c","year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.919590Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:c74cc99e9a2edcfdf566afe0e014b5a27176e1afb7f99cff6c1a8950b6f892c1","observation_id":"e75f22e9-6c52-4460-8b6a-adb721a6b60c","resolution":{"observed_at":"2026-08-06T11:45:00.497165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.487635Z","title":"Investigating depth domain adaptation for efficient human pose estimation","venue":null,"work_id":"73900b2a-fd65-4f71-bbdb-8691ba65a6cb","year":2018},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.921938Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:e3cd7f5072ef191b7a256aaf74ddaa7c51c27a941cd16694eeddfdf5755fc9ec","observation_id":"bf456f9c-2da2-47d8-9753-e6383b1d84ec","resolution":{"observed_at":"2026-08-06T11:45:00.490090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.479988Z","title":"Bridging the gap between events and frames through unsupervised domain adaptation","venue":null,"work_id":"2e824170-6416-4597-868b-8b77f186afe6","year":2022},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.923869Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:cc9e6ae7aa34a983a632d158ba139c8b67119ea0bde8d5db1043377f49ae93b5","observation_id":"9bb8a578-8588-4c9e-8e0e-308930126d71","resolution":{"observed_at":"2026-08-06T11:45:00.482473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.473563Z","title":"Even- tego3d: 3d human motion capture from egocentric event streams","venue":null,"work_id":"b7beea25-1f1e-45c5-94c7-69e5fbaa4369","year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.925691Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:19d7e879e3accc5466a4c0798a261bdad7d2f660ded07198f2e63d62fcd6f253","observation_id":"f26cd6a2-bbe1-4b9d-b4e6-14b9b4d9a2eb","resolution":{"observed_at":"2026-08-06T11:45:00.475947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07869","last_updated":"2025-02-11T18:57:05Z","snapshot_observed_at":"2026-08-08T11:34:38.692304Z","submitted_at":"2025-02-11T18:57:05Z","title":"EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera","version":1},"cited_work":{"arxiv_id":"2502.07869","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.07869","snapshot_observed_at":"2026-08-06T11:45:00.199822Z","title":"EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera","venue":"cs.CV","work_id":"b02bd31f-0e4d-4421-8e05-b1605317d214","year":2025},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.927907Z"},"links":{"cited_paper":"/paper/2502.07869","citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:e76d7857b71b7d07206514da4dd10f80af18850af89d89dc9c43b062cb4329af","observation_id":"9c1a0c72-81f4-451a-9295-b47c3a2c570f","resolution":{"observed_at":"2026-08-06T11:45:00.202794Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.467572Z","title":"Dif- ferentiable event stream simulator for non-rigid 3d tracking","venue":null,"work_id":"0cf4fd9a-9196-4c7a-9827-dcd25797c57c","year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.930220Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:80bc96851f0099fa8f679c519640caa06b59f2226c4672a5c4860ad0d019cda8","observation_id":"5100ed89-b00c-4e64-8d5a-0bd3ceb0b08f","resolution":{"observed_at":"2026-08-06T11:45:00.469747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.461222Z","title":"Stacked hour- glass networks for human pose estimation","venue":null,"work_id":"950cf256-61d0-4900-b28b-5f03b19bf27e","year":2016},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.932485Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:db79970550e439b443cac43d9d63f425ce201d6a21fa8a08fb39938893fe054e","observation_id":"01987b2b-e588-4498-9217-866299cce77d","resolution":{"observed_at":"2026-08-06T11:45:00.463523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.454288Z","title":"Associative embedding: End-to-end learning for joint detection and group- ing","venue":null,"work_id":"a5b98656-d87e-4d91-84be-ca2fdec485db","year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.934919Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:d71636896cad674613c47fc20a62ced4763da3b0a37996a46497d9036974aadc","observation_id":"f7bef9bd-23b0-442f-9c36-d14f3f424341","resolution":{"observed_at":"2026-08-06T11:45:00.456726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.448033Z","title":"Towards accurate multi-person pose estimation in the wild","venue":null,"work_id":"8eeb9d4b-92a6-41f8-9d6f-464436b068b6","year":2017},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.937052Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:0c5756b42c6de4b1d81beeb126cf3c455659f34a271e691e345dfec47be3e720","observation_id":"291498fd-3959-4b33-bef5-cd9a41e4caf6","resolution":{"observed_at":"2026-08-06T11:45:00.450280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.08283","last_updated":"2021-04-12T15:19:15Z","snapshot_observed_at":"2026-07-06T09:56:28.929453Z","submitted_at":"2020-09-17T13:30:05Z","title":"Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.08283","snapshot_observed_at":"2026-08-06T11:44:59.939206Z","title":"Back to event basics: Self-supervised learning of image reconstruction for event cameras via photometric constancy","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.939206Z"},"links":{"cited_paper":"/paper/2009.08283","citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:9709875bff0442879917fb18e17cdbd21d8eff0608c2f0ebbe4b10de3a3c090f","observation_id":"aae04102-8228-4e23-b0c2-5db2565800a2","resolution":{"observed_at":"2026-08-06T11:44:59.939206Z","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":"2026-08-06T11:45:00.441676Z","title":"Blur2blur: Blur conversion for unsupervised image deblurring on unknown domains","venue":null,"work_id":"6d309112-4c3e-45d9-8b8b-1fc28a78f083","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.941677Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:87fb7f1b9dccd021b496d7e10abc1f05c3c0ba7c497b2c1f87e8b9e3952228f6","observation_id":"aab63c6c-76d2-4cd9-971c-1002235907ad","resolution":{"observed_at":"2026-08-06T11:45:00.444092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.435407Z","title":"Deepcut: Joint subset partition and labeling for multi person pose estimation","venue":null,"work_id":"f7acb281-5abc-40d8-b3ab-10b831a72909","year":2016},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.943663Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:ffe1014c60c085666e7405c6af845c3477189ae49d5d65556c4355a70693231d","observation_id":"bc529c05-a899-4e49-8bde-7107787b8310","resolution":{"observed_at":"2026-08-06T11:45:00.437727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.429309Z","title":"Da4event: towards bridging the sim-to- real gap for event cameras using domain adaptation","venue":null,"work_id":"bd78334b-7ab2-4313-a1f0-f4d11fa82acc","year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.945818Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:656d12d0a476a800d7e2b9a1cfbbbff92c7321b2574a1a5cd3105294fa992967","observation_id":"15b64436-0df5-4337-982c-8fa1caed0532","resolution":{"observed_at":"2026-08-06T11:45:00.431525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.423320Z","title":"Self-supervised au- toregressive domain adaptation for time series data","venue":null,"work_id":"01de7625-ef44-4e4b-a611-30e54dedee71","year":2022},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.948147Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:73d70de56b64b78ba5a777924386de455f3c1f2728484e4cf930377e7d87d78e","observation_id":"16b650e5-8545-47c7-bdb6-360e90b4a586","resolution":{"observed_at":"2026-08-06T11:45:00.425641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.417002Z","title":"Real-world blur dataset for learning and benchmarking de- blurring algorithms","venue":null,"work_id":"9fd04eec-ee8a-4c76-b2b2-00507737b504","year":2020},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.950481Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:37a28ae2e7524109a9e8704e5f48c8c6fb629e802c05bcde13514ba294dbe851","observation_id":"f1fce58b-d088-432f-bd32-127358f3d2e7","resolution":{"observed_at":"2026-08-06T11:45:00.419368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.411073Z","title":"Eventhands: Real-time neural 3d hand pose estima- tion from an event stream","venue":null,"work_id":"32accafd-5e1b-487b-863e-0f7b7776fc9c","year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.953064Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:9d5a3abd69d2783d62cf0ad2d3338c3f7f014b5993e4b211fa2ff5c5b84340a5","observation_id":"0a288995-6de2-449e-851c-57fbf39b28a2","resolution":{"observed_at":"2026-08-06T11:45:00.413308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.404366Z","title":"Deep high- resolution representation learning for human pose estimation","venue":null,"work_id":"9458642e-049f-498a-98fb-7905a63063f7","year":2019},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.955641Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:05518c41d585927766dd5e96996eb6451a1bb6f80153938c3e3ffdeba0b4e1b7","observation_id":"59102cf4-890d-4d67-a836-737700cd6721","resolution":{"observed_at":"2026-08-06T11:45:00.406797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.15480","last_updated":"2020-06-28T01:14:59Z","snapshot_observed_at":"2026-08-07T10:59:45.798785Z","submitted_at":"2020-06-28T01:14:59Z","title":"Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates","version":1},"cited_work":{"arxiv_id":"2006.15480","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.15480","snapshot_observed_at":"2026-08-06T11:45:00.180780Z","title":"Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates","venue":"cs.CV","work_id":"b7de15a1-36d9-420a-9a06-1db2e8e94d7e","year":2020},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.957868Z"},"links":{"cited_paper":"/paper/2006.15480","citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:4ee56087ba46e9f2580751298f0e635002be203e96973042d3013d0d0f1dcb51","observation_id":"a3fd5041-9f69-4977-9e2b-45eac147fb69","resolution":{"observed_at":"2026-08-06T11:45:00.183640Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.397779Z","title":"Event-based fusion for motion deblurring with cross-modal attention","venue":null,"work_id":"8a1799bc-b66f-49a5-8a42-9121e105baa8","year":2022},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.960306Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:2fe2c32b80c0fedda2b702566c13f8b06930b236d3981a98db8ec84bc5f74316","observation_id":"123d7022-1bcd-4f2d-9f98-c7179afc0de9","resolution":{"observed_at":"2026-08-06T11:45:00.400070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.391497Z","title":"Ess: Learning event-based semantic seg- mentation from still images","venue":null,"work_id":"a0686b04-227d-41f1-a18f-5ed2786eedf6","year":2022},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.962352Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:d7d8c4a97e04ca413d4b9db827d4610f347b17d96ba8c9d48c10a8cbadf7dd0c","observation_id":"8982e0e3-624b-4f51-9421-9678cb5ad88e","resolution":{"observed_at":"2026-08-06T11:45:00.393688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.384362Z","title":"Motion aware event representation-driven image deblurring","venue":null,"work_id":"6caefa10-c7d1-4469-8638-0a75000901ea","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.964415Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:c32dfec98035d21835a415f8be4e1fbf3a33bc7172e80966ad46916aa943293b","observation_id":"c9467916-f66b-4184-bd05-d3fb6ddb7ea1","resolution":{"observed_at":"2026-08-06T11:45:00.386816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.07451","last_updated":"2019-11-24T05:03:13Z","snapshot_observed_at":"2026-08-09T02:19:50.526315Z","submitted_at":"2019-11-18T06:55:08Z","title":"DirectPose: Direct End-to-End Multi-Person Pose Estimation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.07451","snapshot_observed_at":"2026-08-06T11:44:59.966561Z","title":"Directpose: Di- rect end-to-end multi-person pose estimation","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.966561Z"},"links":{"cited_paper":"/paper/1911.07451","citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:4ae38c33ed9a05fc562a9d320d9a8d152ea48387d611bf1f40d710d1a9bc0739","observation_id":"28390fc7-320a-4480-925e-cdbbcab6ffa9","resolution":{"observed_at":"2026-08-06T11:44:59.966561Z","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":"2026-08-06T11:45:00.377757Z","title":"Evdistill: Asynchronous events to end-task learning via bidirectional reconstruction-guided cross-modal knowledge distillation","venue":null,"work_id":"f6f4f9c1-2ce6-4528-a500-6214d6a22543","year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.968938Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:88671d1875291fd253e640c7b703e255b544d125ebeb355f517eab00de55e114","observation_id":"cd299421-2842-4852-9975-33c42c79e6a4","resolution":{"observed_at":"2026-08-06T11:45:00.380031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.371023Z","title":"Revisit event gener- ation model: Self-supervised learning of event-to-video recon- struction with implicit neural representations","venue":null,"work_id":"9f81356d-4e51-4363-b1af-7fe9f5b91bdc","year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.971656Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:27e65e59e479bf29de861546fd69822dde24af7d49b6b8abbc83f7695316e896","observation_id":"4e408f86-cc22-4e99-a24b-c1f292d447b2","resolution":{"observed_at":"2026-08-06T11:45:00.373637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.363978Z","title":"Convolutional pose machines","venue":null,"work_id":"ca98fe9c-57dc-4fd9-b534-4cbdf36cee62","year":2016},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.974491Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:462f000bbbf424cd3ea731aa727fa4f1b25d5d1e32c95300a4201d06a1353c44","observation_id":"84eab59c-aaf9-4089-bd35-e006dc09fb99","resolution":{"observed_at":"2026-08-06T11:45:00.366767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.357160Z","title":"Event- based video reconstruction using transformer","venue":null,"work_id":"4f73dd5d-86dc-4d53-b3ba-a62f1ba2bedb","year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.977274Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:088426954a6d4b09d6cf5f9629d66fcf98ce691d16673859f5c69ef6f5ab437f","observation_id":"6d899226-19c3-4edf-b736-eebc7ac0f0d2","resolution":{"observed_at":"2026-08-06T11:45:00.359489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.349595Z","title":"Cbam: Convolutional block attention module","venue":null,"work_id":"fef55ea2-39f3-4329-9d07-e85e65374db4","year":2018},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.979393Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:728da9c5a20bd3e26dab07d8a6c4ab2cba19ab1579f075f0f08867d463877203","observation_id":"f4fcd54c-b78b-41c8-af74-5e4fc9d00a00","resolution":{"observed_at":"2026-08-06T11:45:00.352131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.342329Z","title":"Leod: Label-efficient object detection for event cameras","venue":null,"work_id":"92f609e8-e384-45bc-904d-97901c12d258","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.981772Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:0f652ca2a3cd3b4b757144d2ca4112c9d18d99245af38bc1d7189cc0c28b8b97","observation_id":"6899e3b6-ccd5-46a5-b975-1d76d82b7840","resolution":{"observed_at":"2026-08-06T11:45:00.344907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.334997Z","title":"Cmda: Cross-modality domain adapta- tion for nighttime semantic segmentation","venue":null,"work_id":"3a5b463e-5fe2-4f96-93ba-c0ef59292b00","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.984032Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:5cf94d7e0c172a3d7962ec2ca656d719b40f9ca72212cf132650a690125fce1a","observation_id":"d42239f1-7d0f-4718-99a5-f410d5d9d5b0","resolution":{"observed_at":"2026-08-06T11:45:00.337634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.326322Z","title":"An empirical study of the collapsing problem in semi- supervised 2d human pose estimation","venue":null,"work_id":"f796a480-a369-460f-affc-67206987a0cd","year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.985980Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:b254ece32aded843fb143f4caf5dfa3059ca5ef75ce451c14ddb06bc24c59d0d","observation_id":"83b64eca-f8be-4e25-969c-211ce0c20195","resolution":{"observed_at":"2026-08-06T11:45:00.329340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.318605Z","title":"Eventcap: Monocular 3d capture of high-speed human motions using an event camera","venue":null,"work_id":"ce2d9e27-0cff-48f2-974b-3a89f229965f","year":2020},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.988062Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:d51bbfb65d17e6ced89c0c94317b43d4d0623619d3f826628af16e739031524a","observation_id":"fb6fb01b-d919-466b-b30d-676a73903593","resolution":{"observed_at":"2026-08-06T11:45:00.321188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.310865Z","title":"Reli11d: A comprehensive multimodal human motion dataset and method","venue":null,"work_id":"e70928b1-d2b6-403e-93ab-749da5e55c03","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.990069Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:52d8d5779dd935ee3097131152f32ec4f1c67a43c42faf2f58eea396aedc16a7","observation_id":"2bced6b8-6533-4561-9d1f-9577b763fb6f","resolution":{"observed_at":"2026-08-06T11:45:00.313742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.302595Z","title":"A dynamic vision sensor with 1% temporal contrast sensitivity and in- pixel asynchronous delta modulator for event encoding","venue":null,"work_id":"e418f276-073c-44ce-b613-01c30c95af70","year":2015},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.992400Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:0cf0f6c8e5ca064e4faafd04673b32adc42f16fbf01fa7c4a0745ed2b8fdaad6","observation_id":"7a9769c1-5569-4b67-b2e2-90ff64f9d98f","resolution":{"observed_at":"2026-08-06T11:45:00.305543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.294654Z","title":"Motion deblurring via spatial-temporal collaboration of frames and events","venue":null,"work_id":"d14c0587-8177-4989-923a-57de1054b007","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.994494Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:b93ddc0dea5af377a6a27a06e7746855471515f273bc3de2b764ba5668e89f1d","observation_id":"9b37b80c-16c0-4db8-bcfd-2addba8997b8","resolution":{"observed_at":"2026-08-06T11:45:00.297145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.286480Z","title":"Learning event guided high dynamic range video re- construction","venue":null,"work_id":"d5b892f5-ffcc-4080-8c4a-97e961684be3","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.996628Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:52df1471b66f0cd4870d30260149b9b6c2cea9a580da5dd4e44ca50d888e74ff","observation_id":"d8686caa-3991-4cd0-b1ac-4c05bd4da332","resolution":{"observed_at":"2026-08-06T11:45:00.289377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2411.00639","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:45:00.157638Z","title":"Event-guided low- light video semantic segmentation","venue":null,"work_id":"dba8f905-9af7-4808-ace6-2054627c218d","year":2024},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T11:44:59.998850Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:e3f8dc3a5f4371971e1cb6d27c6399c7910d147e0cf8aaeb438e32f46d3696b2","observation_id":"7b54afc9-b7d1-453c-8505-86a0a36eb299","resolution":{"observed_at":"2026-08-06T11:45:00.163491Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.000923Z","title":"Restormer: Efficient transformer for high-resolution image restoration","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T11:45:00.000923Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:9242e8b4b3bb0bcc5f8f586670d7723f09fe5fecc8001eb45e6b12b2b43321cb","observation_id":"927a3752-c480-427d-8f6c-93b9ba3763b0","resolution":{"observed_at":"2026-08-06T11:45:00.000923Z","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":"2026-08-06T11:45:00.272366Z","title":"Human from blur: Human pose tracking from blurry images","venue":null,"work_id":"44cd15ec-a873-4904-ba8d-b90b6e372a32","year":2023},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T11:45:00.003258Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:2dca03f421cb37983a9b735865128507b345670c13eb248d21dabe0a20ba7774","observation_id":"269b689d-8d7b-42fa-bdfc-a1627b5f23f4","resolution":{"observed_at":"2026-08-06T11:45:00.275935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.264718Z","title":"Eventdance: Unsupervised source- free cross-modal adaptation for event-based object recogni- tion","venue":null,"work_id":"203c1ad9-e9f7-4fc1-a9b7-2d8ea74cbeec","year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T11:45:00.005513Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:cbfe173fa7cef2745512a00550b8f84a035b4ec138f8912b88ce0fc3159a4a2a","observation_id":"183df836-6eb9-4f4d-bb3c-221821eccf59","resolution":{"observed_at":"2026-08-06T11:45:00.267651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.257489Z","title":"Semi-supervised video semantic segmentation with inter-frame feature recon- struction","venue":null,"work_id":"4f583ef1-57b4-4947-ba63-d29867aae2e9","year":null},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T11:45:00.007840Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:6a09911ecdb583c7dea4ff231172110d107582d12a55ddf0764f18e598a1e54a","observation_id":"16b66c70-35e5-478c-9523-af63fbad76c3","resolution":{"observed_at":"2026-08-06T11:45:00.260000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T11:45:00.249672Z","title":"Eventhpe: Event-based 3d human pose and shape estimation","venue":null,"work_id":"1cdf899a-6c3e-4c3a-8ee0-76c60947dd38","year":2021},"citing_paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T11:45:00.010060Z"},"links":{"citing_paper":"/paper/2507.22438"},"observation_digest":"sha256:339739f419354585f5ac7a87097493167ac6e71b894c184f4d0c2fe03afdfbd3","observation_id":"2c86f131-27ca-4ec9-a297-745822f190ac","resolution":{"observed_at":"2026-08-06T11:45:00.252363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.22438","last_updated":"2025-07-30T07:30:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T02:22:25.207515Z","submitted_at":"2025-07-30T07:30:40Z","title":"From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras"},"reference_resolution":{"displayed":85,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":6,"verified_fuzzy":68},"total_outbound_references":85},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2507.22438."}