{"as_of":"2026-08-09T17:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2cd22a3a1d4055c025a32774aa3c687dbc796bcd0f2fdbfee20d6709e8a99996","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T12:01:52.739249Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2608.04995/citation-record","integrity":"/paper/2608.04995/integrity","json":"/paper/2608.04995/citation-record.json","paper":"/paper/2608.04995"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:01:54.019276Z","title":"Consistent multi-animal pose estimation in cattle using dynamic kalman ﬁlter based tracking","venue":null,"work_id":"4929bb92-3777-442f-8201-c0248fd07429","year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.335656Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:e0f183112e10d44cf2bc7b460b939a7d9ffc68ff85e50401c7bf2789f9973562","observation_id":"9686196c-b4cb-4cf5-b7ca-e8c13aed4ef5","resolution":{"observed_at":"2026-08-06T12:01:54.025854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:54.000588Z","title":"Real-time cattle pose estimation based on improved rtmpose","venue":null,"work_id":"6f1f47b8-af34-4094-b577-aa1273b5fb59","year":1938},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.343043Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:8d77c5cd9dc934852838ea7c9f3743ed25ede3bbe8f14d6775c71dc992f506e2","observation_id":"b62ecb1e-46da-4bce-8e11-41210129b5e3","resolution":{"observed_at":"2026-08-06T12:01:54.006532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.980540Z","title":"Multi-animal 3d social pose estimation, identiﬁcation and behaviour embedding with a few-shot learning framework","venue":null,"work_id":"5994352b-33b9-40e0-8ea4-383e5a1a9f5b","year":2024},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.350488Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:9468a998ef28b6c51e6d084456d774692720ce6cd8c0d5a5c27d1db91a342f2f","observation_id":"d56201e0-f3ce-44eb-8172-b21404110111","resolution":{"observed_at":"2026-08-06T12:01:53.986874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00196","last_updated":"2024-10-31T20:26:59Z","snapshot_observed_at":"2026-08-08T07:28:00.010284Z","submitted_at":"2024-10-31T20:26:59Z","title":"Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis","version":1},"cited_work":{"arxiv_id":"2411.00196","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.00196","snapshot_observed_at":"2026-08-06T12:01:52.990257Z","title":"Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis","venue":"cs.CV","work_id":"c791436d-65a4-4779-9df9-8af6c6b61b9b","year":2024},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.357531Z"},"links":{"cited_paper":"/paper/2411.00196","citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:d6669d818664fd6f18d019ee44db4cec5ae2f63e0115e9b53010252e8cada4f6","observation_id":"52ce59f4-b282-47a5-b9c7-fb71a1c31211","resolution":{"observed_at":"2026-08-06T12:01:52.998469Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.960098Z","title":"Omni-supervised joint detection and pose estimation for wild animals","venue":null,"work_id":"33f47b90-47ac-45b6-a6d1-dd5e7133c7bb","year":2020},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.365345Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:c516ae00ad0c4538e22b9433e3d089ec2128750f2ac1415a328605c95fc21ca0","observation_id":"9de4a15d-9d97-40b7-8b42-c0eab0aa93df","resolution":{"observed_at":"2026-08-06T12:01:53.965561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09312","last_updated":"2025-01-04T20:01:22Z","snapshot_observed_at":"2026-08-09T05:34:57.960609Z","submitted_at":"2024-10-12T00:37:07Z","title":"Towards Multi-Modal Animal Pose Estimation: A Survey and In-Depth Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.09312","snapshot_observed_at":"2026-08-06T12:01:52.375532Z","title":"Towards multi-modal animal pose estimation: A survey and in-depth analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.375532Z"},"links":{"cited_paper":"/paper/2410.09312","citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:b0eb09ab70cffbd52eba47e6f2ba7a2f8956d4e94c929df0c553d761faf0e582","observation_id":"5aa917a2-1497-4d5d-ac15-6a0667730a12","resolution":{"observed_at":"2026-08-06T12:01:52.375532Z","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":"2026-08-06T12:01:53.941224Z","title":"Multi-animal pose estimation and tracking with deeplabcut","venue":null,"work_id":"14c708b6-608e-4a47-82fa-887407993bad","year":2021},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.387783Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:8a3acfe639d0b826eb93a8fe57057c742abd3cec7a161424a07bc3cfc78c2fef","observation_id":"994d455b-0508-409d-a668-7884dc948249","resolution":{"observed_at":"2026-08-06T12:01:53.946919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.919368Z","title":"Multi-animal pose estimation, identiﬁcation and tracking with deeplabcut","venue":null,"work_id":"e1611cc2-d8bb-4282-a1ad-17a03f4976f6","year":2022},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.403402Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:e1ab172ccb6938322a7a2fc5dec521c94319e54f0c96e70ea4a1ef9fe0584095","observation_id":"8ff5ebaa-c67e-4765-b574-e0ce6c86cabe","resolution":{"observed_at":"2026-08-06T12:01:53.925150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.896352Z","title":"Sleap: Multi-animal pose tracking","venue":null,"work_id":"b711c6a5-64a4-449d-8757-28918b59d2e2","year":2020},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.411570Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:7bfc0c265419676952d8af0d7bb2cd4cf3b3e3711229cc2706d4fa4fd5c42383","observation_id":"6fb9cce1-d499-4fa9-b5df-188def9522d3","resolution":{"observed_at":"2026-08-06T12:01:53.904762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.868855Z","title":"Fast animal pose estimation using deep neural networks","venue":null,"work_id":"6574fb20-8b8d-475a-a2e9-e689b6a3d109","year":2019},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.418943Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:3a4d84bb5847e8073b4af01d4894b8be581401c9ae959a30ef76b58e789e7014","observation_id":"7e14f317-4e32-4ae6-a613-58a37d3b88f1","resolution":{"observed_at":"2026-08-06T12:01:53.875459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.846378Z","title":"I-muppet: Interactive multi-pigeon pose estimation and tracking","venue":null,"work_id":"3e05618f-42f5-44a9-afc4-0a87c868bc44","year":2022},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.425052Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:c6f841841cac02aab08e9eb99f7f927fd01485a9b84745d4b7b4d01dbe6cfe1e","observation_id":"03fd611d-d4ff-4ebe-8697-12968413128d","resolution":{"observed_at":"2026-08-06T12:01:53.852760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.816896Z","title":"3d-muppet: 3d multi-pigeon pose estimation and tracking","venue":null,"work_id":"0740d097-4b5d-4046-8f06-011a67c63548","year":2024},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.430758Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:9578aba8ea51c8668c267178a4b7d2c5da7de97118528b5df2db8b4be20c7221","observation_id":"2b5b2dd0-f96c-43c4-98fd-c1199beee393","resolution":{"observed_at":"2026-08-06T12:01:53.824373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.793068Z","title":"Pigpose: A realtime frame- work for farm animal pose estimation and tracking","venue":null,"work_id":"777f0df1-a502-41fb-99c5-10fd1cf55dfe","year":2022},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.441271Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:4002bdb385ced9cf1a5621a8fffd58ec5648d13a109058b6edc5d78cc8281cd4","observation_id":"444e1412-d0b6-4c88-8590-22a5b3deb122","resolution":{"observed_at":"2026-08-06T12:01:53.799258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.772478Z","title":"Adoption of mmpose, a general purpose pose estimation library, for animal tracking","venue":null,"work_id":"7f379dd0-d712-4775-b242-c2de25933cba","year":2026},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.447775Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:470a2e9abc5ccd6dad639e1f9aff7d3eb63da9904e90b0ffad5eb766503a107a","observation_id":"e35bbb7a-cb13-412c-b42d-f790746b5a43","resolution":{"observed_at":"2026-08-06T12:01:53.779070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.747992Z","title":"Learning from synthetic animals","venue":null,"work_id":"2fa1932d-6ade-4155-b7a2-4466f883b7c0","year":2020},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.454645Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:74131ba2be6019725ba6e0725ac4e0b10395d1da6c2c6e0c2dbfd916e64fc83c","observation_id":"42f58ae8-00ac-4276-bbbb-e9317c624a7f","resolution":{"observed_at":"2026-08-06T12:01:53.754865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.717448Z","title":"From synthetic to real: Unsupervised domain adaptation for animal pose estimation","venue":null,"work_id":"a753a7c6-4966-40f9-9f83-ab1ab7ec9345","year":2021},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.461829Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:2bdfaaef31813a1e9567145f01cc7da20977d7925c9bc23b693bda9cee8742b9","observation_id":"befb0008-6910-402f-a350-54a18e6d359b","resolution":{"observed_at":"2026-08-06T12:01:53.729286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.690377Z","title":"Sydog-video: A synthetic dog video dataset for temporal pose estimation","venue":null,"work_id":"692454f5-9a14-4950-83fe-1e16c308f336","year":1986},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.468407Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:4595da5fed4bc0aa8f081c7d8ccfdb1bd541d9da0008b3f121dafc0b7505e406","observation_id":"cc2e682a-092a-44ef-a24b-6551b9e60828","resolution":{"observed_at":"2026-08-06T12:01:53.698369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.667689Z","title":"Scarcenet: Animal pose estimation with scarce annotations","venue":null,"work_id":"155d3b27-3049-4205-9bb7-77851dccb3e8","year":2023},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.476555Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:3a07e1075e0abdaf77eefac962514dbc22fd53fd95a29f28d59e409f52dfc829","observation_id":"7a894e41-8628-4d0c-82b2-94b91025ce05","resolution":{"observed_at":"2026-08-06T12:01:53.674700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.640590Z","title":"Superanimal pretrained pose estimation models for behavioral analysis.Nature communications, 15:5165, 2024","venue":null,"work_id":"60ac5b4f-1a63-4f64-993a-9bbe5c794f6a","year":2024},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.482462Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:83e075110c5435c0c2fec5863b6b9887f47f6e1f05df1f2069246792778853a4","observation_id":"268faec4-aaab-43f6-aecf-f573706d6597","resolution":{"observed_at":"2026-08-06T12:01:53.646886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10104","last_updated":"2025-08-13T18:00:55Z","snapshot_observed_at":"2026-07-06T22:12:35.584339Z","submitted_at":"2025-08-13T18:00:55Z","title":"DINOv3","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.10104","snapshot_observed_at":"2026-08-06T12:01:52.489071Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.489071Z"},"links":{"cited_paper":"/paper/2508.10104","citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:88738f79b9bf7ef8a1445321a2286d8e5911db411c7d05ce9d8ef1f7aec292ea","observation_id":"76778107-da49-4a73-87f9-bedaa240b5df","resolution":{"observed_at":"2026-08-06T12:01:52.489071Z","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":"2026-08-06T12:01:53.621981Z","title":"Diffusion hyperfeatures: Searching through time and space for semantic correspondence","venue":null,"work_id":"524730d8-15af-4ebf-b104-9f9cc0e6bbc4","year":2023},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.498770Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:c1a1ed917c15f53681788613a3ca4392e30a57cc9369a3c41956fed27663e3a3","observation_id":"216ef887-5210-437f-9e99-62d34e8a443e","resolution":{"observed_at":"2026-08-06T12:01:53.628360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.600719Z","title":"Cleandift: Diffusion features without noise","venue":null,"work_id":"9442556e-fa45-463b-86f1-f3926e2383ff","year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.506628Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:34512abf5513cea3b37c91a1bedceefc17a12ff09e1e4f36fd7297b8a1cdfa41","observation_id":"e0f8deca-bfa2-405c-abd6-c6c2a2f0d156","resolution":{"observed_at":"2026-08-06T12:01:53.608092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.575393Z","title":"Dino-tracker: Taming dino for self-supervised point tracking in a single video","venue":null,"work_id":"b894558e-27e2-469a-b518-eaa3e5ff579a","year":2024},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.512524Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:c5cad899e8a4abbba491284ff4c0e22f30a3bbb70904135853b93320acf0b574","observation_id":"86171553-d127-4b1a-92ca-b6c66164bd89","resolution":{"observed_at":"2026-08-06T12:01:53.582847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.544647Z","title":"Zebrapose: Zebra detection and pose estimation using only synthetic data","venue":null,"work_id":"359ab574-f1a1-4ccc-aff7-9b0b5b4b86c1","year":2026},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.518027Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:1a4eff1454a0537860592987a29c550fdcd81d75d3d854f5fa320ba0fea1675a","observation_id":"952f7080-dede-4ffd-bda3-8cc53e0d1a1f","resolution":{"observed_at":"2026-08-06T12:01:53.550855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:52.523947Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.523947Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:30aa28498a573f6a16e0a75e3e4ecd5342e03dca773d711bc0a3191174811a50","observation_id":"7bb45131-69ae-41a2-8bb5-a8b9eb2278ac","resolution":{"observed_at":"2026-08-06T12:01:52.523947Z","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":"2026-08-06T12:01:53.500116Z","title":"Stacked hourglass networks for human pose estimation","venue":null,"work_id":"753eebe7-bd99-4d48-93f9-6d90c8184578","year":2016},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.529967Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:63da8f69b7015166a4b11bef859aab8909a7f6c46e61588e48bfd672aa813c05","observation_id":"ba340cd6-04fb-4df9-8a25-f748deb5bd95","resolution":{"observed_at":"2026-08-06T12:01:53.507056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.480298Z","title":"Openpose: Realtime multi-person 2d pose estimation using part afﬁnity ﬁelds","venue":null,"work_id":"edc6ab79-66c2-4286-b8b8-968dfc8b002a","year":2019},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.537609Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:5f5548c0a71127134a39015581b1d3b7152b75c6b6d6fce22809a4dbe0161f42","observation_id":"2e40ad0a-9330-4835-bd0d-62af40fd0b09","resolution":{"observed_at":"2026-08-06T12:01:53.486061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.459537Z","title":"Deep high-resolution representation learning for visual recognition","venue":null,"work_id":"33b1ea7d-51df-4353-b9da-755c8bd17690","year":2020},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.544568Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:d40b6c78aed187ee2f203d8172fee2370e2e9296f711e1c800b3b714f7baaceb","observation_id":"10e7914d-6bda-4440-9a46-b6bd3822e636","resolution":{"observed_at":"2026-08-06T12:01:53.467933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12617","last_updated":"2021-11-01T05:36:12Z","snapshot_observed_at":"2026-07-06T11:42:16.189770Z","submitted_at":"2021-08-28T10:23:34Z","title":"AP-10K: A Benchmark for Animal Pose Estimation in the Wild","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.12617","snapshot_observed_at":"2026-08-06T12:01:52.554313Z","title":"Ap-10k: A benchmark for animal pose estimation in the wild","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.554313Z"},"links":{"cited_paper":"/paper/2108.12617","citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:265874001374076fc74e1097907db7d92d3c50378f34d3685be80efcafebacc6","observation_id":"5218d57d-4188-48f7-9fbe-15012e15581e","resolution":{"observed_at":"2026-08-06T12:01:52.554313Z","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":"2026-08-06T12:01:53.438934Z","title":"Cross-domain adapta- tion for animal pose estimation","venue":null,"work_id":"7fb3039d-abfd-4533-993b-62e5b0303fc5","year":2019},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.561020Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:6fa98a26a9675384781b5059fcd7b41847200243188a8acdc3435c81fb025dda","observation_id":"07db8a6d-d979-4264-8832-f8354aca0d2d","resolution":{"observed_at":"2026-08-06T12:01:53.445164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.421392Z","title":"Bioclip: A vision foundation model for the tree of life","venue":null,"work_id":"9529a4f1-ac7d-4036-a681-717a6257f89d","year":2024},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.566573Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:23271bb1cc792a70379eb10aa7a833cff4a4aef51750146296ece801f0c9cc3e","observation_id":"f5c1cde6-550a-41b4-bc1e-712a61fc305f","resolution":{"observed_at":"2026-08-06T12:01:53.426763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.401565Z","title":"Diffpose: Spatiotemporal diffusion model for video-based human pose estimation","venue":null,"work_id":"24253315-3d7a-46c3-b67e-e256d1641e11","year":2023},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.571866Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:d8c1790a30f24035962662188bc663ba302df9b677ae706de9246796a419972c","observation_id":"997c4ebd-f2a1-4946-8973-efbb5e153dee","resolution":{"observed_at":"2026-08-06T12:01:53.407588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.382691Z","title":"Diffusion model with temporal constraint for 3d human pose estimation: Z","venue":null,"work_id":"f6a9c2de-3d0b-462a-a8d8-fedbbf7e55b8","year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.579743Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:31f003cf43fc4d3697a2dd70623792b43296a0bce8cd3181d0e8d1ffc7db535f","observation_id":"714ff3a7-14c1-428b-aaa0-d6b3eab1461a","resolution":{"observed_at":"2026-08-06T12:01:53.388389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.363977Z","title":"Diffusion-based action recognition gener- alizes to untrained domains","venue":null,"work_id":"a5fd7c0c-ba89-4495-b70c-1e558ae3b5f8","year":2026},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.594569Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:483aaad883181ac33a0868675526aca0b16e30dcd463017762f6a20b8eceed34","observation_id":"9d5e0be5-a7e8-460b-9bab-a077247e5e61","resolution":{"observed_at":"2026-08-06T12:01:53.369762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.344363Z","title":"Dposer-x: Diffusion model as robust 3d whole-body human pose prior","venue":null,"work_id":"c31da1f7-ad7b-4253-aea5-2cc15f2cb7ac","year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.600315Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:67d0d24f5a232435fc1c2b2520e8a32031cee44650f306ad2c39de218413210b","observation_id":"3667f192-2745-4141-9b5d-0f726dd3560d","resolution":{"observed_at":"2026-08-06T12:01:53.351733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.325196Z","title":"T-leap: Occlusion-robust pose estimation of walking cows using temporal information","venue":null,"work_id":"c2da0eb6-d616-4252-a5c4-c2b1ae60034d","year":2022},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.608111Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:3802d0f28ff51fba000ceabc665a054047e6aaf15793405eb35110a9cc82aafb","observation_id":"64053529-fb8d-4b9c-8ab3-a2e1bcf96fec","resolution":{"observed_at":"2026-08-06T12:01:53.330608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.306492Z","title":"Deeplabcut: markerless pose estimation of user-deﬁned body parts with deep learning","venue":null,"work_id":"ce0df535-fec0-48d6-979e-260fd8996166","year":2018},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.615924Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:db62a67fe8b50a0c76b96481f93a7319afe49a7432046a7b8f4511f6e4c01859","observation_id":"21726d12-01f9-4247-b31b-a38e1dd819b1","resolution":{"observed_at":"2026-08-06T12:01:53.311924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.283244Z","title":"Simple online and realtime tracking","venue":null,"work_id":"21e8832f-822d-4def-8643-ad3566b22baf","year":2016},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.627840Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:e261f4bf33c105efb83427cbb980f95c070d7674aa8addd018d0528a3f6d1d83","observation_id":"f1ede9c9-5800-42fd-913e-f2439764d1cc","resolution":{"observed_at":"2026-08-06T12:01:53.291891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.03868","last_updated":"2025-06-04T11:59:22Z","snapshot_observed_at":"2026-08-07T10:51:12.204053Z","submitted_at":"2025-06-04T11:59:22Z","title":"Animal Pose Labeling Using General-Purpose Point Trackers","version":1},"cited_work":{"arxiv_id":"2506.03868","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.03868","snapshot_observed_at":"2026-08-06T12:01:52.865534Z","title":"Animal Pose Labeling Using General-Purpose Point Trackers","venue":"cs.CV","work_id":"9d59bee0-5e80-474a-9f69-f356578cd710","year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.633687Z"},"links":{"cited_paper":"/paper/2506.03868","citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:8210c30f6c103cdf86f3dc7223b0d07d8f0101e6774bad9fc53a9089d9e10317","observation_id":"704dea77-c53c-47e3-aecf-3b84f0092f64","resolution":{"observed_at":"2026-08-06T12:01:52.874020Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.259350Z","title":"Co- tracker3: Simpler and better point tracking by pseudo-labelling real videos","venue":null,"work_id":"4847a8f3-cdfc-4000-9e4c-d6a255ca5ac2","year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.640162Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:e22692d7f61266e90cf0ccfe693a5aeeb03812531c5ee76986a1750915c28856","observation_id":"e35e794d-ddf1-41f1-8957-e3da3123dc9f","resolution":{"observed_at":"2026-08-06T12:01:53.266539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.233554Z","title":"Tapir: Tracking any point with per-frame initialization and temporal reﬁnement","venue":null,"work_id":"9962e57b-9c8a-4060-ad3c-0876435abc38","year":2023},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.663058Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:994e498401b4f4c97db92e8690f164ef1303de16ad7c6ca9bf3302dc05cc2e2e","observation_id":"d888a0a0-ae48-4da5-b1c1-de4d668c5b4b","resolution":{"observed_at":"2026-08-06T12:01:53.239907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.209245Z","title":"Alltracker: Efﬁcient dense point tracking at high resolution","venue":null,"work_id":"39002683-8f6f-4dd2-992e-a545d21d364d","year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.669119Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:a20e20d3a80dcdd2f7b2573739c77fd30d1a5bc39c6d8ad7841ece7580daa647","observation_id":"be166173-4b60-400c-aaeb-3c1c1d76e498","resolution":{"observed_at":"2026-08-06T12:01:53.218553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.184875Z","title":"Apt-36k: A large-scale bench- mark for animal pose estimation and tracking","venue":null,"work_id":"a53f9ccc-9394-46b5-b537-afa4411504f4","year":2022},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.677796Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:3ddf8bbcdbc83548543aa0012ade07a2e4a087192a02d9b79cc9e5dc1ab5a949","observation_id":"ea85804c-b060-4d84-878b-88287bbd19e3","resolution":{"observed_at":"2026-08-06T12:01:53.194156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.15706","last_updated":"2026-07-06T10:31:24Z","snapshot_observed_at":"2026-08-07T20:44:09.151132Z","submitted_at":"2025-11-19T18:59:38Z","title":"RoMa v2: Harder Better Faster Denser Feature Matching","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.15706","snapshot_observed_at":"2026-08-06T12:01:52.685709Z","title":"Roma v2: Harder better faster denser feature matching","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.685709Z"},"links":{"cited_paper":"/paper/2511.15706","citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:4819fb2cf35a6f0ad198f6b61c73fc099a1befe24959a41f5d677dad35749dcb","observation_id":"bbe75ecf-aed8-4bb8-a533-d670dd247627","resolution":{"observed_at":"2026-08-06T12:01:52.685709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15612","last_updated":"2023-12-25T04:49:49Z","snapshot_observed_at":"2026-07-06T17:07:48.292847Z","submitted_at":"2023-12-25T04:49:49Z","title":"APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15612","snapshot_observed_at":"2026-08-06T12:01:52.692819Z","title":"Aptv2: Benchmarking animal pose estimation and tracking with a large-scale dataset and beyond","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.692819Z"},"links":{"cited_paper":"/paper/2312.15612","citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:348fd525e4a5d4168cec50ec4864ccee2bf7dd99bf4d47073ab6663fb3563ac0","observation_id":"15cf1b11-fb57-4406-9ec9-1a6963253889","resolution":{"observed_at":"2026-08-06T12:01:52.692819Z","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":"2026-08-06T12:01:53.161847Z","title":"Behavior discovery and alignment of articulated object classes from unstructured video","venue":null,"work_id":"93be7a96-36bc-4682-a69a-a400506a1b7e","year":2017},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.705951Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:d5519afa874e18d139984eefbcd82f02867354305e4b60c58acd161287eb9000","observation_id":"ed9c3a0f-4061-40ad-8d8a-8e111d27235d","resolution":{"observed_at":"2026-08-06T12:01:53.168555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.127613Z","title":"Tap-vid: A benchmark for tracking any point in a video","venue":null,"work_id":"17e3d23b-86f4-4e4c-b84d-a54534f013b1","year":2022},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.711070Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:263684025f28c3d82f517bf5c4aadc478a56287fd79718f36b2374eb95605ffc","observation_id":"7a5e671f-1c0d-45f7-8db3-9817ea7c20cf","resolution":{"observed_at":"2026-08-06T12:01:53.145829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.095785Z","title":"Dynamicstereo: Consistent dynamic depth from stereo videos","venue":null,"work_id":"2ec76904-8e53-448b-8ab8-a53b7ab8bdde","year":2023},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.718678Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:825d90da2e3e6204fd0105a6b2351f054c323d3b0a18ec2d4b9a93ee7e6fa109","observation_id":"0bd6cbb5-f0b1-425c-8d82-8fac8edb900e","resolution":{"observed_at":"2026-08-06T12:01:53.101777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.071453Z","title":"Pointodyssey: A large- scale synthetic dataset for long-term point tracking","venue":null,"work_id":"c58648b2-2224-4d0e-a892-35e0bbde2382","year":2023},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.726089Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:98c354924f2dbee0634157554a4084c338e122151740cf7417a00a6a40febc82","observation_id":"7d92150f-07d3-4e48-8b1f-a16833fe9b8c","resolution":{"observed_at":"2026-08-06T12:01:53.079026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.041819Z","title":"Bootstap: Bootstrapped training for tracking-any-point","venue":null,"work_id":"49873fc9-cabe-40f0-84ba-5f3ae58b216c","year":2024},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.732656Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:e978acfc950d418c6b5b88a50a9e7014e8ffdc6d6d16f1cbc9920c84886f9160","observation_id":"551cc537-3324-461f-af8c-f7acc203653b","resolution":{"observed_at":"2026-08-06T12:01:53.054241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T12:01:53.020847Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":"e86c27db-79a6-467a-a859-544e8b83c550","year":2014},"citing_paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T12:01:52.739249Z"},"links":{"citing_paper":"/paper/2608.04995"},"observation_digest":"sha256:11ccf8bb0444f46de1116782f8fce405d510231d11801fdb206ad5966a5ebd4c","observation_id":"c8171204-8003-41db-ac9e-504fb9b09cb5","resolution":{"observed_at":"2026-08-06T12:01:53.026284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.04995","last_updated":"2026-08-05T16:04:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T23:13:45.136285Z","submitted_at":"2026-08-05T16:04:20Z","title":"Promptable Animal Pose Tracking Across Species"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":43},"total_outbound_references":51},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.04995."}