{"as_of":"2026-08-16T10:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:48e0186dc93ff3557dac4d574049d22f37f2eb5b1c9306a906c427fb097059ff","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:51:18.664076Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.06427/citation-record","integrity":"/paper/1908.06427/integrity","json":"/paper/1908.06427/citation-record.json","paper":"/paper/1908.06427"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:51:19.756639Z","title":"Dis- criminative learning of local image descriptors.PAMI,","venue":null,"work_id":"9c2a2c72-0492-416c-a6e9-380f0ffd9f17","year":null},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.405172Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:bbaad5dde948fde04957a4312bf2a2bc6086c6a35e42b129111e61e2d68157bf","observation_id":"74229433-74f2-489e-8b80-8572fa958413","resolution":{"observed_at":"2026-08-14T12:51:19.762082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.740906Z","title":"V oxceleb2: Deep speaker recognition","venue":null,"work_id":"fd8be679-beb7-483c-8a4a-f5f4f49a8dd2","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.410724Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:3592a845c70927991d2044c969d4a0f6cec5474bf4446fef10d8e6c3a44783d5","observation_id":"8e16e642-38de-4e74-b1dc-a8288559d8f8","resolution":{"observed_at":"2026-08-14T12:51:19.746421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.728739Z","title":"Cootes, Christopher J","venue":null,"work_id":"e458614c-4aa6-4df9-895c-42bd0ee1c482","year":1995},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.415358Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:41c74a6602339eafe02656563a588811e4bc9588c8cbd9a4bb78512cbb20f646","observation_id":"ff6aaf58-65c5-495a-a2cb-99bf09bf38a3","resolution":{"observed_at":"2026-08-14T12:51:19.732758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.713208Z","title":"Histograms of Ori- ented Gradients for Human Detection","venue":null,"work_id":"75487e39-b7e7-47b4-b92a-37d3af82ba8f","year":2005},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.420147Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:68cdbb2e708a905cae62d3a4f9eb3c5a7eb7d4cd79d17943c15ed11314ff9997","observation_id":"7c3b45c7-c1e1-46ed-8624-22887d66e8bc","resolution":{"observed_at":"2026-08-14T12:51:19.717609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.695832Z","title":"Felzenszwalb, Ross B","venue":null,"work_id":"0a6fb5de-93f9-438b-afb4-937e610983a1","year":2010},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.424566Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:05969e00679833a9099ec68d8ebc75e69ce287faecd6eeb21a6b2d0add7c6285","observation_id":"2be62a4f-25d6-4ba6-aebd-b798ef4a2be1","resolution":{"observed_at":"2026-08-14T12:51:19.702251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.677669Z","title":"Wing loss for robust facial landmark localisation with convolutional neural networks","venue":null,"work_id":"7d29db4b-724c-4c9e-9ca4-97bc34025f3f","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.429040Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:9165accd1b2a8c93a9ee72020a53c2b397b7316da35fb6167d41469e357d57be","observation_id":"750d62ea-3c7a-4c75-8a5e-bb44242ad00c","resolution":{"observed_at":"2026-08-14T12:51:19.682961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.664284Z","title":"Object class recognition by unsupervised scale- invariant learning","venue":null,"work_id":"04055a8f-cacc-48d0-9744-615e1b8c7abf","year":2003},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.433819Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:b4980f9886e564355646abc05dbb3a8b84662d601abbc44379b05c4e9985c4ea","observation_id":"4d0a4d80-f7c1-4edb-9d1d-0c3790baf19e","resolution":{"observed_at":"2026-08-14T12:51:19.668868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.649813Z","title":"Average faces","venue":null,"work_id":"3c2463b9-be29-4c5f-adc5-25139d28151c","year":2019},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.438472Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:d2962b5da1b2243bda229ac79b8aa6da7385caa55038a81cb10da961d6d3a07e","observation_id":"f5486482-ade7-4ce1-89de-29a2af410bd9","resolution":{"observed_at":"2026-08-14T12:51:19.654149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.635870Z","title":"Densereg: Fully convolutional dense shape regression in-the-wild","venue":null,"work_id":"b47ea67f-e796-497d-91e9-de754fb57092","year":2017},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.442872Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:6f95b9daeeda903c3876b79e3922923c2f52da9372de5e93a27ec7f703fcaf4a","observation_id":"587e94f6-9cdb-4fbe-b36e-159b8c5e94fe","resolution":{"observed_at":"2026-08-14T12:51:19.640468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.620803Z","title":"Proposal ﬂow","venue":null,"work_id":"3dde7dbd-17fe-40d4-a9a1-35416bc26e7f","year":2016},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.446991Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:31f15a04ea1caff3108d9746a5d48680f9642bfe59362ad27e099a115b5804dc","observation_id":"064df820-7c33-44fe-a8df-ebe1f76e8699","resolution":{"observed_at":"2026-08-14T12:51:19.625397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.604915Z","title":"On sifts and their scales","venue":null,"work_id":"0539008d-2b9f-4b68-ad79-c875c0610496","year":2012},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.451062Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:209307e0082235eedccd6b54bc395436e3fb96bd6beecdcef43905ac414d11be","observation_id":"f67f77f1-03b5-4cb6-b0f7-c10d52343c74","resolution":{"observed_at":"2026-08-14T12:51:19.609783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.589475Z","title":"Spatial Transformer Net- works","venue":null,"work_id":"7dbcce55-c0bf-4427-aee4-454c2854b2af","year":2015},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.455893Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:d9c8e26317666f0b439b4932989687b0c0fe14d7599ab524ff4876d4e7a37fb3","observation_id":"9bc9602f-c527-4c84-b462-979042121fa7","resolution":{"observed_at":"2026-08-14T12:51:19.594149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.434697Z","title":"Unsupervised learning of object land- marks through conditional image generation","venue":null,"work_id":"2983bf86-ddb3-4b40-8321-3c9c4d4fc0e0","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.460236Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:6c55a11100a22dd320c18eeda8dd5b19bed2b119c3e6a542269a5f1180164b40","observation_id":"38a08625-961f-4a7f-a03c-307cdca94112","resolution":{"observed_at":"2026-08-14T12:51:19.439119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.02055","last_updated":"2020-12-23T18:59:02Z","snapshot_observed_at":"2026-08-14T16:09:03.643764Z","submitted_at":"2019-07-03T17:47:08Z","title":"Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos","version":2},"cited_work":{"arxiv_id":"1907.02055","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.02055","snapshot_observed_at":"2026-08-14T12:51:18.704165Z","title":"Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos","venue":"cs.CV","work_id":"3cbca14d-e9ed-402d-81bd-dfe8aef13abd","year":2019},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.464543Z"},"links":{"cited_paper":"/paper/1907.02055","citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:8a70a8b3d61a78ddabb7f7c410203bd19b20282dc094778a5b3908fc12e721b0","observation_id":"3fad9e9b-db6d-4c66-bd78-e1f1d978c17d","resolution":{"observed_at":"2026-08-14T12:51:18.711578Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.420652Z","title":"Self-supervised fea- ture learning by learning to spot artifacts","venue":null,"work_id":"1c5c0460-f2bf-4ccd-9fdd-cfe564bba022","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.469226Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:c5e8033ba40f3a3ebc0d9c8baf07845b8f7932ffb8ce8cfc3bb27f8486ce1cd3","observation_id":"a1e79057-829a-4675-969d-0f44dc09bf7a","resolution":{"observed_at":"2026-08-14T12:51:19.425841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.405537Z","title":"Jacobs, and Manmohan Chandraker","venue":null,"work_id":"e3d7bfb9-0218-419b-a90b-302a8ab7a04e","year":2016},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.473485Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:c2d308cdd62102a5b4f0bff9f186071a6f1a5cd3c3de2dbb13a5ff185f6e9334","observation_id":"6f190239-b5a5-4eea-8cb0-ac60103d2e73","resolution":{"observed_at":"2026-08-14T12:51:19.411700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.388848Z","title":"Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints","venue":null,"work_id":"0b8a6250-9b5b-4945-9e5c-f764e8beb4ac","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.477543Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:0c338df27ae139ce52d678d928d01067e5b57c8daa3b7d86308467859591749a","observation_id":"01345f57-1591-46f7-adfb-49ac353617b9","resolution":{"observed_at":"2026-08-14T12:51:19.393809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.372910Z","title":null,"venue":null,"work_id":"d537f65e-5d27-46d3-824e-a6b87807a4e3","year":2012},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.481571Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:3fd24bc73b91d3b4c77828c1a43186d3cb161a44a9c9183de97aff715be24961","observation_id":"cd8583a4-6d0f-421f-8419-cd632ecff831","resolution":{"observed_at":"2026-08-14T12:51:19.379518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.485529Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.485529Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:24efaa9e98dae35f5ac980f5f6c48c81ad19d7b6e7bef80a302f3cb96097c359","observation_id":"f08a33d7-27c6-44ee-b769-f6ea44d2af6a","resolution":{"observed_at":"2026-08-14T12:51:18.485529Z","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":"2026-08-14T12:51:19.345125Z","title":"Roth, and Horst Bischof","venue":null,"work_id":"2e49730d-facf-4351-8a1c-eb3e1ef77269","year":2011},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.489887Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:ae6aef778ea6ad2e0dfe2f9c69d57f73186dbb4c399deee04628670e951c0068","observation_id":"3041950f-cd6f-4bca-beb6-dd9b8b420b49","resolution":{"observed_at":"2026-08-14T12:51:19.349089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.328673Z","title":"Data driven image models through continuous joint alignment","venue":null,"work_id":"932ae11b-4f3a-4887-b79a-0f319080cfa9","year":2006},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.494481Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:71755f9613ab9c75ff3c7ab5dc0b57148f526f34f0476d669a103e3517ac0b32","observation_id":"b88c5023-32b9-4c49-8788-e94130df63e8","resolution":{"observed_at":"2026-08-14T12:51:19.335225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.310126Z","title":"Combined object categorization and segmentation with an implicit shape model","venue":null,"work_id":"e3e49dbe-8113-466c-a47d-7e58d0c27458","year":null},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.498949Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:3f5bfb1ff283341d62093b98be00f5e8fd7239591e429edf0703c4001174f4b9","observation_id":"b5936ab9-c370-4cd4-9c0e-c1d727ddff8d","resolution":{"observed_at":"2026-08-14T12:51:19.317442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.292799Z","title":"Learning covariant feature detectors","venue":null,"work_id":"a9ee62c3-5119-45f9-832a-b09758cd8a9d","year":2016},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.503252Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:be8b4aa4250d9f9034677b0f9bced6a4fd807834ffe04a92c31a925a9cf56d8f","observation_id":"0967432a-7646-449c-9216-8acd77bdaa40","resolution":{"observed_at":"2026-08-14T12:51:19.299149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.271941Z","title":"SIFT Flow: Dense correspondence across scenes and its ap- plications","venue":null,"work_id":"8bab323f-0cff-4b9c-882b-5732c923a996","year":2011},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.507951Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:d1bccafaeb1ec0b699d7808ed80f606533fa49bfb8b9dd859d6fa36fefa970a3","observation_id":"99bd5628-b9eb-4ec6-8711-56e040d53901","resolution":{"observed_at":"2026-08-14T12:51:19.277824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.512265Z","title":"Deep learning face attributes in the wild","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.512265Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:3b6634fd4c86ccaa60e9161249c70dead3263ec3b244a875178b2ccb5f158fbe","observation_id":"a0fe5450-2fcd-4729-a532-9ce364cba73b","resolution":{"observed_at":"2026-08-14T12:51:18.512265Z","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":"2026-08-14T12:51:19.246847Z","title":"Do convnets learn correspondence? In Advances in Neural Information Processing Systems, pages 1601– 1609, 2014","venue":null,"work_id":"0d03f24b-7af8-4ac8-8d2f-6066bfab3758","year":2014},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.516427Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:299f87344c5651e44e52bd3b47659e4f43307dc01e9dc0194fcb9b36b96d6c1d","observation_id":"54b45f4c-13e8-4145-a16c-f1292aa24aa4","resolution":{"observed_at":"2026-08-14T12:51:19.252552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.232911Z","title":"Distinctive image features from scale- invariant keypoints","venue":null,"work_id":"ca379088-c62a-4eb7-8742-85d2b4cd3e8b","year":2004},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.520513Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:59dfcb7a68f2f5ff66c683ab74c0a551fdaa31e276ee10d3ad0ef54091b8373b","observation_id":"f06f5b96-a0cc-4e8b-9a76-59ffcbf3c6bc","resolution":{"observed_at":"2026-08-14T12:51:19.237875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.218544Z","title":"A comparison of afﬁne region detectors","venue":null,"work_id":"fce404c1-fe63-4ae2-81cf-1f9297a70a98","year":2005},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.525106Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:ff8cdee88889440b020b86f8c3db7c29ee14c4484accffeac9b56d2cfee4c8ac","observation_id":"d2d4682e-e91c-4619-8e1b-5a4fc277aecf","resolution":{"observed_at":"2026-08-14T12:51:19.222878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.202352Z","title":null,"venue":null,"work_id":"43a335fe-4361-42b7-930d-bef31b777244","year":2014},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.529444Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:2030dbca1cb837df0eb1e2aaeda6028be3585eeea31a29745a5b22fecd4dcc87","observation_id":"d547d0cb-f357-47d2-945e-7910205ddd79","resolution":{"observed_at":"2026-08-14T12:51:19.208273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.188584Z","title":"V oxceleb: a large-scale speaker identiﬁcation dataset","venue":null,"work_id":"d2e142ce-fc8c-4266-8858-671a7d169c23","year":2017},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.533510Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:b8109652e9bd7353a1eaa48d8661fcbb34ab401a86e53bd6de3d8885c7370d0b","observation_id":"f32e4986-ca2d-4553-9a2d-c13940660ca6","resolution":{"observed_at":"2026-08-14T12:51:19.193780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.166052Z","title":"Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time","venue":null,"work_id":"56a08c2c-cc34-4b3b-8e43-020681ac6d00","year":2015},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.537639Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:229a1821ac71c739589f04a488502c5f871ab46a7a13f0209c066b4464826a13","observation_id":"4393d4ac-1e1c-4f3a-af6f-0afa856fe4e2","resolution":{"observed_at":"2026-08-14T12:51:19.171964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.150704Z","title":"Stacked hourglass networks for human pose estimation","venue":null,"work_id":"cd39fbf6-c3f7-4ae9-87f1-5f7e00f5c4a9","year":null},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.541970Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:96337b8cf3af7cb9601116d443ea4852a31386fe5befe029a8ed35aa2d582f18","observation_id":"5b15db0e-85b1-4e13-a4f1-4c7bd86a2871","resolution":{"observed_at":"2026-08-14T12:51:19.155046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.122330Z","title":"Self-supervised learning of geomet- rically stable features through probabilistic introspec- tion","venue":null,"work_id":"490568ff-9d28-40a9-b959-16c37131a6df","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.550397Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:4e5fb1ff048b64381a3003cbd2774bacb56228b5a239c3eb3b738f1d9e1884e9","observation_id":"bcd35d10-b967-4cb6-8e63-2c4ece065b9b","resolution":{"observed_at":"2026-08-14T12:51:19.127687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.103298Z","title":"Learning 3d object categories by looking around them","venue":null,"work_id":"e712078c-d7dc-4587-94b6-e68b5a102226","year":2017},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.554488Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:95d64f066a613092897749708e98cd951edf5a6c29ed1de2236a4e03173fdd7f","observation_id":"c0d6ea2c-87e9-4ec2-9803-adc9825b9001","resolution":{"observed_at":"2026-08-14T12:51:19.108645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.088763Z","title":"Cats and dogs","venue":null,"work_id":"dd040011-fba1-4fc1-8198-ab63ff46c07b","year":2012},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.558846Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:19c4f84b477f3bb3313664f65842b68e32d0164da4b4f367c4d3e626d3884ef5","observation_id":"dd2f0176-ff6c-4e86-8f41-31c147beecbc","resolution":{"observed_at":"2026-08-14T12:51:19.093567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.076076Z","title":"Local convolutional features with unsupervised training for image retrieval","venue":null,"work_id":"1e88efed-8b0b-40a0-8f27-26191ef6d95d","year":2015},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.563137Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:b6d8d93dd44cdeaef1b06d88692fa1f759809597066cc39d17d6f2dd0534e440","observation_id":"db12bb67-be73-4459-906e-6711e0268628","resolution":{"observed_at":"2026-08-14T12:51:19.080573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.061885Z","title":"Rasl: Robust alignment by sparse and low-rank decomposition for linearly correlated im- ages","venue":null,"work_id":"341017bf-2f65-464f-8c25-e5b05c507cc3","year":2012},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.567192Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:892a0f682192df175d03539abac815477ec1ef702e30e31901a0f46199f4bfa6","observation_id":"544141b5-1cde-44fa-847f-84d31e879f2e","resolution":{"observed_at":"2026-08-14T12:51:19.066738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.049661Z","title":"Wide base- line stereo matching","venue":null,"work_id":"4d6a1dcb-ea79-4d5b-96a3-cfc3225bf5c2","year":null},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.571076Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:e4c1d8311d92923367f62a93a1ed57868495a8f7c3adf7fbf16a2ddb24c1a9b0","observation_id":"72c4a9f7-0cdc-486b-96cd-117490c75909","resolution":{"observed_at":"2026-08-14T12:51:19.054203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.036940Z","title":"Convolutional neural network architecture for geomet- ric matching","venue":null,"work_id":"32bbd657-6ff7-4360-8d5b-f459580fde30","year":2017},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.575161Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:711545e2918802d06ce136ab850f6966b7e566d9f60e1c5fa96f1579d94bfb71","observation_id":"df27cd72-2ba1-41a6-9b3d-1e6f800548e7","resolution":{"observed_at":"2026-08-14T12:51:19.041407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.024361Z","title":"300 faces in-the-wild challenge: The ﬁrst facial landmark localization chal- lenge","venue":null,"work_id":"8cbe2caa-237a-46e9-bd10-567fa98f27e9","year":2013},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.579685Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:7b011289e4d8fb02d513723859525ab1d43771c27d053f322aab677c93c804c2","observation_id":"c35f697b-a621-4127-bd08-bf80cefd3d64","resolution":{"observed_at":"2026-08-14T12:51:19.028949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.998828Z","title":"Self-supervised visual descriptor learning for dense correspondence","venue":null,"work_id":"4c0a401a-40b7-470f-b95f-656dd3bfb69c","year":2017},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.584091Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:df5b54da534697fe2f51c0a03ec101c8f08927546c791c42a9f32acbb049825f","observation_id":"faa69321-d75f-4616-8d26-bf4fb0889314","resolution":{"observed_at":"2026-08-14T12:51:19.003882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.986188Z","title":"Deforming autoencoders: Unsupervised disen- tangling of shape and appearance","venue":null,"work_id":"aa8c2806-e8c2-46ae-8186-8f5c12c1da8c","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.588532Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:9cf50b5d7e16a30f9da0ee5b4992f311d6fc27755f48bd0a430b9b20ec354d38","observation_id":"3716fbc3-0abf-414d-a9f7-3b921e7f9e1a","resolution":{"observed_at":"2026-08-14T12:51:18.990200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.972928Z","title":"Learning hy- brid image templates (HIT) by information projection","venue":null,"work_id":"203ff19b-e6ce-421c-b085-aea6957537d3","year":2012},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.592919Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:c6ca9357e4720c806fe04fa8c4eeefe1d2ff0a5d62303f533e73be0ce72b96df","observation_id":"5b5ed2ee-b63a-451e-8790-a669d6cb2f62","resolution":{"observed_at":"2026-08-14T12:51:18.977638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.960234Z","title":"Dense point trajectories by gpu-accelerated large displacement optical ﬂow","venue":null,"work_id":"e8da94c5-02dd-47be-8698-e1db6c12c4c8","year":null},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.596853Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:8ffbe4c64cbc1d3d669d1ef5b969fd2c471f6aad35678e4bc5f7067d0a30c0f4","observation_id":"9b9b07df-fa28-4431-af08-ef8f607992fe","resolution":{"observed_at":"2026-08-14T12:51:18.965369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.947351Z","title":"Unsupervised learning of object frames by dense equivariant image labelling","venue":null,"work_id":"f6c3f2bf-9e53-4604-a49a-6ea005a41b4f","year":2017},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.600992Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:a5cf61a1b95c3e61afb9d2f41e9b044c8b603850fb6f8ecaa89294e28c6366f4","observation_id":"681efd3c-ee02-4558-a9c8-a0e5af6ded5b","resolution":{"observed_at":"2026-08-14T12:51:18.951798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.933141Z","title":"Unsupervised learning of object landmarks by factor- ized spatial embeddings","venue":null,"work_id":"d056aaa0-6086-44cc-af5a-31a47da2160e","year":null},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.606344Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:d63f50ea0b4a9869cc55b891ebc138084c2735ceb320333169a2df01de70c1ac","observation_id":"c9c0a040-a64e-4d58-8290-cb225c629e2a","resolution":{"observed_at":"2026-08-14T12:51:18.938064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.917568Z","title":"A fast local descriptor for dense matching","venue":null,"work_id":"3f4a2a63-f055-40f9-818d-8c71568b2e52","year":2008},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.611139Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:5d4f0bcd155071ddedf814115429dde8db94b9262605bf2bbf6a7590c90c1157","observation_id":"93db2cb9-0f59-4a22-b18e-350028cea1d6","resolution":{"observed_at":"2026-08-14T12:51:18.921926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.900615Z","title":"Matching of afﬁnely invariant regions for visual servoing","venue":null,"work_id":"60fc5e8d-af2f-4d28-ac9d-f16fac270829","year":1999},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.615092Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:6ceb5f586cfd0b630bd77a2e4664fe9ee2c22a67e79a9afd5948c8bc1a651a9c","observation_id":"91a589ae-c77f-40a5-b5bb-79b87170abc8","resolution":{"observed_at":"2026-08-14T12:51:18.907814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.882303Z","title":"Wiles, A","venue":null,"work_id":"7d969fff-48c3-4712-830c-19229ed53102","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.618956Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:dcc30f914dc427b4dd7518e9bc7933ff71089ed77cbbd8f1f6210cb9e6adfe89","observation_id":"8a0ec068-5d85-4d52-9549-59eec59d5d9f","resolution":{"observed_at":"2026-08-14T12:51:18.888811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.865372Z","title":"Robust Facial Landmark Detection via Recurrent Attentive- Reﬁnement Networks","venue":null,"work_id":"74b9392f-d781-4f28-8835-f8a22a1af0f4","year":2016},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.623127Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:02a800283d603228c243c31fc13ca0259b97ab52d4bb9f9451e7fdf9acfda531","observation_id":"2afac0fb-0c3c-4c38-b428-ec604a199f12","resolution":{"observed_at":"2026-08-14T12:51:18.870690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.852357Z","title":"Disambiguating visual relations using loop constraints","venue":null,"work_id":"b21aecb6-36a4-4255-a0fb-89c85f24555f","year":2010},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.627318Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:cab66be608fcc05d429f34ff394aef0da0cad694133501882aa5b8cf9ba12ab6","observation_id":"8ab0118e-dc66-4d37-b76d-31fb9eec6ff8","resolution":{"observed_at":"2026-08-14T12:51:18.856531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.839988Z","title":"Learning to compare image patches via convolutional neural net- works","venue":null,"work_id":"96140b46-c284-43a9-97b7-821228941fe8","year":2015},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.631216Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:4de1ae5342202a93133342190f5524a3e926bb2d45bb575a29b989ea1c1d6c74","observation_id":"c01a438c-a44b-4afd-84c0-269a4cfcf381","resolution":{"observed_at":"2026-08-14T12:51:18.844482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.823731Z","title":"Cat head detection - How to effectively exploit shape and tex- ture features","venue":null,"work_id":"f647dbd4-602a-4648-a69e-938ffe5d36ac","year":2008},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.635560Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:5c88f57494b6355f7e399aca2d56ca5377c27f1aa32803d84e5279336ba54980","observation_id":"6f506461-d07f-4576-b29b-9061c6abf927","resolution":{"observed_at":"2026-08-14T12:51:18.829840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.808340Z","title":"Unsupervised discov- ery of object landmarks as structural representations","venue":null,"work_id":"fb8f94a7-0c29-44f3-b259-47df6e339cca","year":2018},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.639806Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:18c7fb701c322cb37bf4ed5813846f077d4e17323ae31210f0384c3b9c6f1e2d","observation_id":"72bae0bf-860b-46cd-bac0-c733ac937643","resolution":{"observed_at":"2026-08-14T12:51:18.813302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.791604Z","title":"Facial landmark detection by deep multi-task learning","venue":null,"work_id":"b622bb6f-2366-43af-90fb-1baf41373aaa","year":2014},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.644006Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:959701c363e323b29b19d5d356e372d82bb0243cabbc3ddb2e68c53f8a1a27b0","observation_id":"87e6a4a0-d3cc-4ab7-b459-d7ca89cb098d","resolution":{"observed_at":"2026-08-14T12:51:18.797303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.774794Z","title":"Learning Deep Representation for Face Alignment with Auxiliary Attributes","venue":null,"work_id":"d3ba6347-a20e-4ff7-bc3c-82c19362e6cd","year":2016},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.649030Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:13e6b256740d1d6f27ffba5a4ae1c5c24f36ac2cbddeb87bf0ed774dad104790","observation_id":"91d94013-0e25-4b37-8b06-0687f366d254","resolution":{"observed_at":"2026-08-14T12:51:18.780856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.755615Z","title":"Flowweb: Joint image set alignment by weaving consistent, pixel-wise correspondences","venue":null,"work_id":"61cd0d63-977e-4a4a-91fe-88d40fd65e1b","year":2015},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.653320Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:531fd7b0c7fb9d744327825acf29d8117b7a264d68b31598a6c90c3b5be61537","observation_id":"2a04f670-f1be-4569-b7bf-132c13ce1ae3","resolution":{"observed_at":"2026-08-14T12:51:18.761641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.736049Z","title":"Learning dense correspondence via 3d-guided cycle consistency","venue":null,"work_id":"969ede0f-c255-4323-8605-3eaa977d43ba","year":2016},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.658839Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:e1c0229169931a66b74ef440db81cc2be1e9b7d199cbfba56146330e15af857e","observation_id":"e303e40c-ec36-44a5-9461-8f03ab7fa2cc","resolution":{"observed_at":"2026-08-14T12:51:18.740189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:18.722129Z","title":"Attend in groups: a weakly-supervised deep learning framework for learning from web data","venue":null,"work_id":"a1ad2e6d-3060-4ea3-a02b-1bfe31d4716f","year":2017},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.664076Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:4e1b872dd9203a548285b84300b604e9ac0c213b44c8e290f154314f193f23bd","observation_id":"7d0ecc45-ac89-4919-885f-c4b77901b75d","resolution":{"observed_at":"2026-08-14T12:51:18.726840Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:51:19.137753Z","title":null,"venue":null,"work_id":"651548eb-59e6-42c1-bddb-ba9dcc8568b4","year":2016},"citing_paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange","version":1},"reference_index":499,"source":"pdf_text","source_observed_at":"2026-08-14T12:51:18.546434Z"},"links":{"citing_paper":"/paper/1908.06427"},"observation_digest":"sha256:ebe0d2371ba25c341f516dca29d1cf2aa2a5a594375fd6d08ee59f375277c409","observation_id":"70326775-7da2-4a7f-82a5-c2d41e28c44e","resolution":{"observed_at":"2026-08-14T12:51:19.141957Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.06427","last_updated":"2019-08-18T11:35:45Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T02:24:50.713024Z","submitted_at":"2019-08-18T11:35:45Z","title":"Unsupervised Learning of Landmarks by Descriptor Vector Exchange"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":4,"verified_exact":1,"verified_fuzzy":53},"total_outbound_references":60},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:1908.06427."}