{"as_of":"2026-08-23T15:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:63031e31d8580f766994876608de21583cea8bad6877810c45cd93c6c34098c1","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:02:51.202032Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2412.00818/citation-record","integrity":"/paper/2412.00818/integrity","json":"/paper/2412.00818/citation-record.json","paper":"/paper/2412.00818"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:02:52.176973Z","title":"An improved deep learning architecture for person re-identification","venue":null,"work_id":"4a4d7788-f748-43d3-b0cc-356f0e158cc2","year":2015},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:50.975708Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:952cfc1ef8196b12134cc28e30f96f574eefad99587f6182cbdca235d25e02b4","observation_id":"b1d4b912-db3c-4c03-b827-a900c49e32b5","resolution":{"observed_at":"2026-08-12T05:02:52.183104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05814","last_updated":"2022-10-15T21:18:49Z","snapshot_observed_at":"2026-08-19T20:39:59.358844Z","submitted_at":"2021-12-10T20:15:03Z","title":"Deep ViT Features as Dense Visual Descriptors","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.05814","snapshot_observed_at":"2026-08-12T05:02:50.981646Z","title":"Deep vit features as dense visual descriptors","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:50.981646Z"},"links":{"cited_paper":"/paper/2112.05814","citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:424ccbe7c8dabd244d6db6abd46dcab7c37b6a8c2a4f68b59bb37fa5ac4e8a53","observation_id":"5562cb9f-ff28-4e93-a2e2-4860139fcf6e","resolution":{"observed_at":"2026-08-12T05:02:50.981646Z","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":"2026-08-12T05:02:52.157816Z","title":"On the effectiveness of vit features as local semantic descrip- tors","venue":null,"work_id":"4205e567-2164-4d73-b9f7-65ea7cbf5338","year":2022},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:50.987264Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:ecb93c643291255f3042e4af2424050f81c330b007f0ad4b67727ac87ebd6719","observation_id":"d485a0e4-2faf-4935-9c1a-62a8ff303467","resolution":{"observed_at":"2026-08-12T05:02:52.164501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:52.138260Z","title":"Individual common dolphin identification via metric embedding learning","venue":null,"work_id":"6ba9ab4b-7a2f-4383-8204-0e3162688526","year":2018},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:50.994037Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:ecd12e77c469df8f4472777e25bacaffb2505fa5b0f09d8b94b0c8c7dc3a475d","observation_id":"211a8a9f-3579-40d0-9374-0de8ce47d889","resolution":{"observed_at":"2026-08-12T05:02:52.143374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:52.118732Z","title":"Ad- vanced image recognition: a fully automated, high-accuracy photo-identification matching system for humpback whales","venue":null,"work_id":"92e76042-3c56-4884-b9cd-a641347abbf6","year":2022},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:50.999636Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:3dbceec66c50c907f92554d98222a4f7b12f00520e04accbe30122e5fce487fe","observation_id":"8d1f47ec-32d4-4553-8d7b-fb57f6e4d259","resolution":{"observed_at":"2026-08-12T05:02:52.125069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:52.097836Z","title":"Hotspot- ter—patterned species instance recognition","venue":null,"work_id":"4f88eb96-71c6-4db2-b0e6-b0f5041dc5d7","year":2013},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.008237Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:d4096148a83b3ec121d15ebbcf941ed314026ef4921c680ef6c53b7307e86f7e","observation_id":"91dd0d5e-4e36-49d8-a6bd-24c20d69154c","resolution":{"observed_at":"2026-08-12T05:02:52.102956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:52.074189Z","title":"Chim- panzee faces in the wild: Log-euclidean cnns for predict- ing identities and attributes of primates","venue":null,"work_id":"a7a06f2f-8576-404e-9623-ef2350f421d9","year":2016},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.014874Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:9ea4baf6e6590ff7f0be8c1ac5bd442813fb1a9a130e3eb4d593f7e4294990c5","observation_id":"6a5940bf-3210-4aa6-afaa-799e4fb8c61f","resolution":{"observed_at":"2026-08-12T05:02:52.085704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:52.038458Z","title":"Applying computer-aided photo-identification to messy datasets: a case study of t hornicroft’s giraffe (g iraffa camelopardalis thornicrofti)","venue":null,"work_id":"2516e0cd-c97c-4237-a320-247c4b8c9e54","year":2015},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.020890Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:08a18556ff0e0457f0ec7a2a5f6ee8e8b36ed8b6c17c59c8a2d8da0b9024241b","observation_id":"35252751-e30f-428e-b4b3-224b9f86eee5","resolution":{"observed_at":"2026-08-12T05:02:52.060574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:52.015491Z","title":"Momentum contrast for unsupervised visual rep- resentation learning","venue":null,"work_id":"d4bbc7e3-e143-43a5-9d4f-61af50f6d8d0","year":2020},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.025778Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:3c0706a21006eeff584273ed0ed312fd5d7beab6a679e718da07717efb9298a7","observation_id":"071b00f8-2ea2-440e-914b-e35caa0cf7c6","resolution":{"observed_at":"2026-08-12T05:02:52.022180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.990475Z","title":"Transreid: Transformer-based object re- identification","venue":null,"work_id":"fe11081c-beb0-4ea3-80a3-7ea6ba4aa833","year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.031774Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:f8eb18889bdad03d08697de204a4a604ddcbbcd3565c66afb5591d623726698f","observation_id":"c61ced13-b282-4662-adbd-0e49e4b5c50d","resolution":{"observed_at":"2026-08-12T05:02:51.999140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.036977Z","title":"Unsupervised semantic correspondence using stable diffu- sion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.036977Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:412432e363d8e129a944b6372f53715eec53b23f13d7a8db6999141d2a343df7","observation_id":"4c0f0d69-bb89-4dc4-bd71-b11ce56bb8cb","resolution":{"observed_at":"2026-08-12T05:02:51.036977Z","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":"2026-08-12T05:02:51.942156Z","title":"Toward re- identifying any animal.Advances in Neural Information Pro- cessing Systems, 36, 2024","venue":null,"work_id":"fd806a72-1287-4680-b276-275275cba469","year":2024},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.043045Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:9fa5e32f970416f70b56a707e7e756a8c6b7acade39fb4ff23161c9c0dd79487","observation_id":"2ea43ad3-4e17-4073-ad69-c33f2e75a97c","resolution":{"observed_at":"2026-08-12T05:02:51.950369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.922658Z","title":"Individual minke whale recogni- tion using deep learning convolutional neural networks","venue":null,"work_id":"82ae2228-4a06-4eab-b1ff-009e575cd278","year":2018},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.048496Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:1d320e09eb5f1d058cde932ea6042c7b5423b173e6936fd7386760504a803988","observation_id":"04edee07-d48a-4dea-af84-5daf2fd1850c","resolution":{"observed_at":"2026-08-12T05:02:51.928819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.901572Z","title":"Pifpaf: Composite fields for human pose estimation","venue":null,"work_id":"01679d64-bd2a-424c-b81b-d79a23b83bd0","year":2019},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.052929Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:985885d5a8b51d6337ae14ff95023d7be5e6f380d0e0bc5d340e45b6c7b4b74e","observation_id":"75af1e41-656c-4116-b112-4603215450ee","resolution":{"observed_at":"2026-08-12T05:02:51.910408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.882191Z","title":"Biometric animal databases from field photographs: identifi- cation of individual zebra in the wild","venue":null,"work_id":"7016eeca-58e3-4852-af28-bf0c28ea0e01","year":2011},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.057418Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:260555c40a019cee497df9100e992f902542217c055ef50dcd2441896e2833ae","observation_id":"f11fafff-fb1b-4af8-a0d5-585d005d30b8","resolution":{"observed_at":"2026-08-12T05:02:51.888288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.860889Z","title":"Pyramidal trans- former with conv-patchify for person re-identification","venue":null,"work_id":"bf2aeb2c-6547-4e9b-9e59-93a01730bb75","year":2022},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.061860Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:a328ecb6fe56508e98c1699f7b5aaaa2b7d7696310114a69f0f59f3e3dd6939c","observation_id":"c5a10f28-943b-47f1-a909-b9ce38f4d877","resolution":{"observed_at":"2026-08-12T05:02:51.867929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.05586","last_updated":"2020-10-31T17:46:09Z","snapshot_observed_at":"2026-08-18T04:53:49.611854Z","submitted_at":"2019-06-13T10:16:30Z","title":"ATRW: A Benchmark for Amur Tiger Re-identification in the Wild","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.05586","snapshot_observed_at":"2026-08-12T05:02:51.066163Z","title":"Atrw: a benchmark for amur tiger re-identification in the wild","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.066163Z"},"links":{"cited_paper":"/paper/1906.05586","citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:4e84232e02dba47ebf040f2e9dd3007279c6001c3af0f62623ddc49fb444ce83","observation_id":"2c4da6e9-87d3-476f-b090-f1c12b5ce677","resolution":{"observed_at":"2026-08-12T05:02:51.066163Z","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":"2026-08-12T05:02:51.840820Z","title":"Deep- reid: Deep filter pairing neural network for person re- identification","venue":null,"work_id":"fc424ce4-8824-45a3-b5c8-e384d38d5c96","year":null},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.070838Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:3ed57c9833189f1b1cc08af1368f1321b55d9ee9684c1ed65d1cfc7af661e034","observation_id":"98789d64-ed4d-44dc-98b9-ba477fadbd4d","resolution":{"observed_at":"2026-08-12T05:02:51.846362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.819994Z","title":"Diverse part discovery: Occluded per- son re-identification with part-aware transformer","venue":null,"work_id":"3c3f0b7f-0632-464c-8726-25d85e8f8a55","year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.075925Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:7e61f926e9b57870a819fc7dbebb448adbca4106889b6928bdda2d66dda232c1","observation_id":"4113e190-4886-4134-8c12-d0b361ac4a75","resolution":{"observed_at":"2026-08-12T05:02:51.829007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.798415Z","title":"Per- son re-identification by local maximal occurrence represen- tation and metric learning","venue":null,"work_id":"e98c11fa-1fd4-45bb-93bd-bc4da18543d4","year":2015},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.080938Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:dc0265b8e931e20383ec984a736707767b93fa20cdfd977b904963173074a0f7","observation_id":"50e86282-d338-4b4b-9586-524c18b1a4b2","resolution":{"observed_at":"2026-08-12T05:02:51.804447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.774276Z","title":"Comparison of photo-matching algorithms commonly used for photographic capture–recapture studies","venue":null,"work_id":"20760ee9-7f3b-4391-8a66-6dc05c149929","year":2017},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.086338Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:a0f1ee0cae8397919a125d06bd740385c483628c60e194f4bbe5fccf1c8c4233","observation_id":"44a9d378-98df-43d7-8dc3-7e0410b1669a","resolution":{"observed_at":"2026-08-12T05:02:51.781576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.748590Z","title":"Revisiting animal photo-identification using deep metric learning and network analysis","venue":null,"work_id":"6b035fb4-7207-41e5-a1d3-adc4d3e86053","year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.091074Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:07947e830061844452132d06fb0e735ae1492aa8dedee1b317cb385886911862","observation_id":"1eba620e-1fc5-4b00-9ef1-15db008c14cb","resolution":{"observed_at":"2026-08-12T05:02:51.754224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.718245Z","title":"Robust re- identification of manta rays from natural markings by learn- ing pose invariant embeddings","venue":null,"work_id":"3b17f3dd-c752-4b11-9b95-39c8969e23aa","year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.095681Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:38b2a48acb4b6a8dbe23804c63853835e013318263188febfaa6edbb67262d6c","observation_id":"4873380d-bc6a-40ef-b5f0-2726b3d594c5","resolution":{"observed_at":"2026-08-12T05:02:51.724157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.697427Z","title":"Automatically identifying, count- ing, and describing wild animals in camera-trap images with deep learning","venue":null,"work_id":"3d744fc5-fd76-4f95-8c01-e72106549348","year":2018},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.100316Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:bbfd8cce93b2fd0033c8bab33c2666ddacfee7868ad95ef3852021db64a8da17","observation_id":"ba541d5c-1ec8-4d08-aac6-39bc96a41559","resolution":{"observed_at":"2026-08-12T05:02:51.704198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.104804Z","title":"Zero-shot image-to-image translation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.104804Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:c12939e2c149764e138ef372c6ad94293dc80217a0f9762ce2c8d15528f72c56","observation_id":"efa9ae67-42dd-4066-af9a-a0792f775314","resolution":{"observed_at":"2026-08-12T05:02:51.104804Z","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":"2026-08-12T05:02:51.656779Z","title":"Deep learn- ing methods for multi-species animal re-identification and tracking–a survey","venue":null,"work_id":"36143984-0a77-4ed6-a64e-9ca583778459","year":null},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.109190Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:9e242c016b67f1c994e22e3ccff6068d1f50db1afcd3b91dc2933647c8a1c285","observation_id":"1310590b-3323-41ea-87f4-e0d0ad1a3ce8","resolution":{"observed_at":"2026-08-12T05:02:51.665247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.634646Z","title":"Similarity learning networks for animal individual re- identification: an ecological perspective","venue":null,"work_id":"0565b079-6a7c-4043-80c4-6c9619c19b34","year":2022},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.113735Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:1cd662e4628c680184f8bce0952839cd6cde3643b1fa54e361486ab4900d42d2","observation_id":"8368968c-0d0e-4eea-b0d5-1f9ee26f8a61","resolution":{"observed_at":"2026-08-12T05:02:51.642617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.596608Z","title":"More aggressive sea turtles win fights over foraging resources independent of body size and years of presence","venue":null,"work_id":"2b6f7e41-98b1-4fc5-9d9d-9dc45bbbfeab","year":2022},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.118884Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:85c6a4b1115943851a22245424a1e7af5789ab2c2a874a112bcffc84f29a413d","observation_id":"ad1b6f49-479e-4a5d-80a2-bce350fe5ccf","resolution":{"observed_at":"2026-08-12T05:02:51.606299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.123405Z","title":"Laion-5b: An open large-scale dataset for training next generation image-text models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.123405Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:218abba9fc0ce5c38166c61513e013ce1edac402c98d8eb5c12e5308ca67522d","observation_id":"2b9da8cb-1e9c-401d-bb9f-a5af893aba0b","resolution":{"observed_at":"2026-08-12T05:02:51.123405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.13555","last_updated":"2024-08-20T11:12:41Z","snapshot_observed_at":"2026-08-16T13:33:02.125586Z","submitted_at":"2024-07-18T14:28:31Z","title":"PetFace: A Large-Scale Dataset and Benchmark for Animal Identification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.13555","snapshot_observed_at":"2026-08-12T05:02:51.127862Z","title":"Petface: A large-scale dataset and benchmark for animal identification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.127862Z"},"links":{"cited_paper":"/paper/2407.13555","citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:de491ca513a0d603288ba0edeab0e61b36839bdef2b98a1d102d26d24526a983","observation_id":"0cc4f7a9-a4c9-4dd4-98af-ceb75ff3e19b","resolution":{"observed_at":"2026-08-12T05:02:51.127862Z","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":"2026-08-12T05:02:51.551311Z","title":"Petface: A large- scale dataset and benchmark for animal identification","venue":null,"work_id":"33d0f051-4c0b-448f-be8c-db8a871e0c1a","year":2025},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.132613Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:89f88350019fa5eb8f3002460a24ac571008f4455125e70684e32f38f85301c6","observation_id":"ed47b0bd-f328-41be-8e24-b1f971598dfb","resolution":{"observed_at":"2026-08-12T05:02:51.558754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.529525Z","title":"Keypoint promptable re-identification","venue":null,"work_id":"466b8464-4ec9-497d-a35c-aeb7b4014818","year":2025},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.136985Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:463679a1a783045ea6fab7e9fcb89c6aa03b707b1c77a88ad3f094b00e372a19","observation_id":"fb07f5aa-09dc-4086-afae-328c67bdadfa","resolution":{"observed_at":"2026-08-12T05:02:51.534388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.512910Z","title":"Emergent correspondence from image diffusion","venue":null,"work_id":"3e6cca76-16ad-4fb8-a7a2-5de53ddcc7a5","year":2023},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.141485Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:a0c990dde04cd033e71acc6f247bdcb413921c8925d307aadb71e68453626103","observation_id":"39db97bc-9770-4936-acbf-18181f55218e","resolution":{"observed_at":"2026-08-12T05:02:51.518616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.494244Z","title":"WildlifeDatasets: An Open-Source Toolkit for Animal Re-Identification","venue":null,"work_id":"e93589af-08fe-4a3e-b1a6-db02532edcf8","year":2024},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.146787Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:b59a150053ca4a7594951c9f92698ab4b821c7ce1ef94bbb7514545b71ed536d","observation_id":"5ac37cfc-bae5-43d1-ae3a-f89b8d42acb4","resolution":{"observed_at":"2026-08-12T05:02:51.501130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.472430Z","title":"Perspectives on individual animal identification from biology and computer vision","venue":null,"work_id":"6be7cef8-f392-4108-a98c-70daf7cc1664","year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.151718Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:2c53027a9f99e2cc2c8a2afc880eb32097f26614d607406463b0719078de4ebf","observation_id":"373fdd3a-b302-4d80-bedb-cae9e7963d79","resolution":{"observed_at":"2026-08-12T05:02:51.478052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.453087Z","title":"Giant panda identifica- tion","venue":null,"work_id":"5902eaf3-fce4-4b5d-986f-b2d823ad2497","year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.157459Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:f74b58e9707d20fa382918fb7999e31e0797ce25fd6ad11644926699e49998e5","observation_id":"ec1657db-3f88-4231-b08b-2b7c0869851a","resolution":{"observed_at":"2026-08-12T05:02:51.460676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.162216Z","title":"Pose-guided feature disentangling for occluded person re-identification based on transformer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.162216Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:925a9813949f6922b301431a8ed7fb926a933069baaeef55c347667fea968405","observation_id":"2d3da837-1f10-4803-8a8c-234fa0676a1e","resolution":{"observed_at":"2026-08-12T05:02:51.162216Z","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":"2026-08-12T05:02:51.422141Z","title":"Ex- tracting identifying contours for african elephants and hump- back whales using a learned appearance model","venue":null,"work_id":"f5041a9e-5f75-4701-8806-cb8843fee1ec","year":2020},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.167478Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:08db74a13d05032fa9982e725233bcc3a00caae316a19b0bb6cace47ac0a5894","observation_id":"f4d47bfc-a7de-4fd3-bfe1-74009451dcb7","resolution":{"observed_at":"2026-08-12T05:02:51.428719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.403302Z","title":"In- tegral curvature representation and matching algorithms for identification of dolphins and whales","venue":null,"work_id":"af02cfea-dad2-4e05-8584-473812491d87","year":2017},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.172928Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:bcbb49baac40716d9e6480598729f230416b0ece64892f82f6919de87dd525bd","observation_id":"8b50e468-d1e9-4c48-8ff2-eef43858b3fa","resolution":{"observed_at":"2026-08-12T05:02:51.408984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.383226Z","title":"Automated face recognition of rhesus macaques","venue":null,"work_id":"72d14815-c161-4b8c-b6a8-b35950640d63","year":null},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.177336Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:35f8f585c15e7cdaaead057581ed7f5211f69d3902951a82a960fe232cf37034","observation_id":"4a1c43a3-71f5-4305-b64b-b758d4552908","resolution":{"observed_at":"2026-08-12T05:02:51.389810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.364536Z","title":"Person re-identification using kernel-based metric learning methods","venue":null,"work_id":"8676f56d-0139-4611-b8b0-e9d9e8c7c3a6","year":2014},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.182182Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:b59180a8e8d7c9e6b7358735f7e10028563ae318fec4273a5843e8a45c103d42","observation_id":"45686a33-0f62-420c-8069-f85cfba65d17","resolution":{"observed_at":"2026-08-12T05:02:51.370054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06960","last_updated":"2024-10-22T07:17:47Z","snapshot_observed_at":"2026-08-16T14:27:48.308201Z","submitted_at":"2024-01-13T03:17:57Z","title":"Transformer for Object Re-Identification: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06960","snapshot_observed_at":"2026-08-12T05:02:51.187264Z","title":"Transformer for object re- identification: A survey","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.187264Z"},"links":{"cited_paper":"/paper/2401.06960","citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:92a915e78e7dc9e5e6bde049ab948f06d2cf9bd411d571584406f11fa201bc60","observation_id":"b27a07b9-ac01-4d61-9244-7b909ac15c0f","resolution":{"observed_at":"2026-08-12T05:02:51.187264Z","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":"2026-08-12T05:02:51.347346Z","title":"Hat: Hierarchical aggregation transformers for person re-identification","venue":null,"work_id":"bcc252fa-1cff-449d-b50a-8082bb12e41f","year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.192399Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:6516d1113542ab0a6a3c152fa9d31cd9be4203c863382f16a5925564ed494b54","observation_id":"25eb0fb7-59ef-4448-99b0-2de413c7f8a6","resolution":{"observed_at":"2026-08-12T05:02:51.353100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.329468Z","title":"Yakreid-103: A benchmark for yak re- identification","venue":null,"work_id":"4e15da31-bbef-4e9c-b2a9-e2013b15a3ab","year":2021},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.197358Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:ca43623c1f6950271e08cbf079bc6d041ce5c2fb930befe432372cd7a616fb8b","observation_id":"b8573cb8-57af-4fed-b5cb-3900e6d2a92a","resolution":{"observed_at":"2026-08-12T05:02:51.335132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T05:02:51.309744Z","title":"Dual cross-attention learning for fine-grained visual categorization and object re-identification","venue":null,"work_id":"6120ce15-0d4f-49dc-ac75-8478659e7165","year":2022},"citing_paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T05:02:51.202032Z"},"links":{"citing_paper":"/paper/2412.00818"},"observation_digest":"sha256:cc41d7316c8163afccfae73aeb50d68ebf61ddd9ca8f282458e92958d6150670","observation_id":"81c830bf-33e9-4bac-8f93-53cbb48dccfe","resolution":{"observed_at":"2026-08-12T05:02:51.317055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.00818","last_updated":"2024-12-01T14:09:00Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-21T10:12:23.616733Z","submitted_at":"2024-12-01T14:09:00Z","title":"Categorical Keypoint Positional Embedding for Robust Animal Re-Identification"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":37},"total_outbound_references":45},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.00818."}