{"as_of":"2026-08-23T13:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9e2e0c360622bd6a7e1d298bfa900d51b894e47568be45abe349370928678f9","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:01:45.883094Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"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/1908.09999/citation-record","integrity":"/paper/1908.09999/integrity","json":"/paper/1908.09999/citation-record.json","paper":"/paper/1908.09999"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:01:46.972360Z","title":"Disco nets: Dissimilarity coefficients networks","venue":null,"work_id":"57cffbab-6819-4109-b4ce-1a9359201d6d","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.582064Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:49b7317a4139f36b89d4fd5df6b468e0ab98ce1e597e45d2ece8a604f361a46c","observation_id":"aef6c0f1-94e4-4270-8135-f4583d2d8483","resolution":{"observed_at":"2026-08-14T11:01:46.977948Z","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":"2026-08-14T11:01:46.954346Z","title":"Human pose es- timation via convolutional part heatmap regression","venue":null,"work_id":"5fca3c30-fdf8-4a58-8b5a-8f197bb4ce32","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.588023Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:b42df340e55b8c6291366bfe16ec55ec890ceffc5e4b9aa5f588c0bb880cb966","observation_id":"317f9d47-52dd-4d6c-9156-d54b8a1c53e9","resolution":{"observed_at":"2026-08-14T11:01:46.960219Z","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":"2026-08-14T11:01:46.936050Z","title":"Exploit- ing spatial-temporal relationships for 3d pose estimation via graph convolutional networks","venue":null,"work_id":"4da0f593-c0f8-4993-b014-99945ebc53ec","year":2019},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.593201Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:b82f6b6e81ca82ba63826e0a4315f6f215cb238b2aa94f9d3803b464d7fa163b","observation_id":"6dd0b352-62d5-4cba-95a1-167f804a3f00","resolution":{"observed_at":"2026-08-14T11:01:46.942090Z","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":"2026-08-14T11:01:46.917655Z","title":"Realtime multi-person 2d pose estimation using part affinity fields","venue":null,"work_id":"a9846700-8ee4-41fa-bfa2-206f224d748f","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.598435Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:fb27f230608623e60c09042c2d0e2c02e86056d7f3df37cfe65c82530ee26f5f","observation_id":"1d429a4c-98f7-4689-932b-2d91271d0bac","resolution":{"observed_at":"2026-08-14T11:01:46.924151Z","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":"2026-08-14T11:01:46.895420Z","title":"Human pose estimation with iterative error feedback","venue":null,"work_id":"a580f7df-15b5-4f84-bcb4-e3ac37828ff2","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.604122Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:c190b19b665f48d5626b63fadefbb033a70a877ef83e49d57f4eb3a85d4cd887","observation_id":"4029c455-b771-4ceb-a3bc-f4b5812c9b03","resolution":{"observed_at":"2026-08-14T11:01:46.902131Z","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":"2026-08-14T11:01:46.869690Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","venue":null,"work_id":"5c88afe2-1194-4d40-b314-c62097c4bae3","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.609386Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:c85594194bb859855cfb068b54970cd30ee267daf4a67f65e7e078274c71c40f","observation_id":"4e05d773-ceb1-4acc-8551-85e39f01d441","resolution":{"observed_at":"2026-08-14T11:01:46.875484Z","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":"1708.03416","last_updated":"2018-06-24T02:00:25Z","snapshot_observed_at":"2026-08-18T20:06:21.481881Z","submitted_at":"2017-08-11T00:36:24Z","title":"Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.03416","snapshot_observed_at":"2026-08-14T11:01:45.621010Z","title":"Pose guided structured region ensemble net- work for cascaded hand pose estimation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.621010Z"},"links":{"cited_paper":"/paper/1708.03416","citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:17aa6b894f7a9c6719537167c6ad1699f33e0ad75ce9ea232f9902d18f7fce96","observation_id":"88964c56-28fa-4fc1-90d0-b6785e6d3f90","resolution":{"observed_at":"2026-08-14T11:01:45.621010Z","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":"2026-08-14T11:01:46.844932Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":"245c37e6-3ddd-4dd7-b334-92a720d8acbe","year":2009},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.626351Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:cc78d465431930957753d605d4aec66c770ff0c583fd4652bfc2fdb959e3e1c5","observation_id":"ee0f2198-36b5-4d56-bcbb-2cafec509691","resolution":{"observed_at":"2026-08-14T11:01:46.851310Z","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":"1704.02224","last_updated":"2017-04-07T13:27:48Z","snapshot_observed_at":"2026-08-14T21:07:48.282226Z","submitted_at":"2017-04-07T13:27:48Z","title":"Hand3D: Hand Pose Estimation using 3D Neural Network","version":1},"cited_work":{"arxiv_id":"1704.02224","doi":null,"metadata_source":"pith","pith_arxiv_id":"1704.02224","snapshot_observed_at":"2026-08-14T11:01:46.057305Z","title":"Hand3D: Hand Pose Estimation using 3D Neural Network","venue":"cs.CV","work_id":"e2a4db80-6da7-486c-bf17-7e50ca0e27ff","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.632782Z"},"links":{"cited_paper":"/paper/1704.02224","citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:d85b8301c1ba3e88e2aaa09967e71017b5cef73dc6f8aebc8fe533c2b4383475","observation_id":"d3c81a14-f2ec-4d13-86fd-249af7a3cb65","resolution":{"observed_at":"2026-08-14T11:01:46.063162Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T11:01:46.822956Z","title":"Rmpe: Regional multi-person pose estimation","venue":null,"work_id":"c9035bac-a0a8-48cc-9766-0093aeb90295","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.639811Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:b3ae0b1ac41b340df1d531811f26bf23084a711d08cbcefb207485375311080e","observation_id":"8ebfe558-52bb-4875-8736-30301a6b69fb","resolution":{"observed_at":"2026-08-14T11:01:46.829972Z","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":"2026-08-14T11:01:46.803873Z","title":"Multi-task, multi-domain learning: application to se- mantic segmentation and pose regression","venue":null,"work_id":"a524dbfa-63f5-4029-943b-b75d2c627b29","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.646709Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:e4bbd1c1fd2dd939142c4b9b387fcf6d48fd39084296347f65f775464d8904f1","observation_id":"5ce9e78a-561f-444d-a933-86bc29f35cf5","resolution":{"observed_at":"2026-08-14T11:01:46.811071Z","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":"2026-08-14T11:01:46.784811Z","title":"Real-time human pose tracking from range data","venue":null,"work_id":"ac9f95da-b1e0-4320-b449-99bc3bf74a02","year":2012},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.657468Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:d7e0a7e27277f03607392e763b84646ff0523377d8895605323934d6bf599e37","observation_id":"f1803216-bfc2-416c-962b-bc2e69b5dbc4","resolution":{"observed_at":"2026-08-14T11:01:46.791213Z","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":"2026-08-14T11:01:46.766014Z","title":"Hand pointnet: 3d hand pose estimation using point sets","venue":null,"work_id":"fa513432-88b8-44af-82a8-3f0595137bb9","year":2018},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.663105Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:b3066aa6e1fcc5a58725f70e93b6bb01849dc7840e5f389ac754fa6272f140e4","observation_id":"931ea808-c9e2-461b-9bed-c2c6b769f112","resolution":{"observed_at":"2026-08-14T11:01:46.771868Z","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":"2026-08-14T11:01:46.747449Z","title":"Robust 3d hand pose estimation in single depth images: from single-view cnn to multi-view cnns","venue":null,"work_id":"a3034765-b74b-4c95-8122-4824b0289e1b","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.668707Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:a83469082b84f0054908ab40b78120eadfc934801d911f938d200b73e3f70581","observation_id":"ef0efd17-c206-4330-bb14-01d9d26e520e","resolution":{"observed_at":"2026-08-14T11:01:46.753513Z","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":"2026-08-14T11:01:46.725202Z","title":"3d convolutional neural networks for efficient and robust hand pose estimation from single depth images","venue":null,"work_id":"f7b2b5ae-5eb4-4dc4-a7d3-5bc8c1a19aaf","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.674189Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:ab4b375ea09389bbf038815c21bffb5b301b9fd4fbc4fd88aab5cf9a6a5b9ef8","observation_id":"80744da3-9786-4a46-8560-fb70ec33f0f2","resolution":{"observed_at":"2026-08-14T11:01:46.732868Z","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":"2026-08-14T11:01:46.706015Z","title":"Point-to-point re- gression pointnet for 3d hand pose estimation","venue":null,"work_id":"c7028e69-5256-49af-889d-9668906f73dd","year":2018},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.679262Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:9cb544d551055877141e6f56f720acc454ac35eb1a9694d087af5238ecd84d57","observation_id":"2ed6ba30-bb79-4a18-875d-f5f023370ccd","resolution":{"observed_at":"2026-08-14T11:01:46.711471Z","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":"1707.07248","last_updated":"2017-07-23T05:14:31Z","snapshot_observed_at":"2026-08-14T20:45:55.717768Z","submitted_at":"2017-07-23T05:14:31Z","title":"Towards Good Practices for Deep 3D Hand Pose Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.07248","snapshot_observed_at":"2026-08-14T11:01:45.684140Z","title":"Towards good practices for deep 3d hand pose es- timation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.684140Z"},"links":{"cited_paper":"/paper/1707.07248","citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:1b6ea9a48793f8b9d4861c936170a9e104e9c39ac49430ed069a76661c7476d3","observation_id":"2890dd43-ac41-4313-ab46-a8baea90bd8c","resolution":{"observed_at":"2026-08-14T11:01:45.684140Z","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":"2026-08-14T11:01:46.688327Z","title":"Region ensemble network: Improving convolutional network for hand pose estimation","venue":null,"work_id":"3790d42c-d1fd-4201-80f1-0e422124ef1b","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.689610Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:8fb6bd4168f419ef40b6c79e6ae93bd29cdeef99b5e39084901927c929da1f5a","observation_id":"b18b3011-4f1d-4221-859b-a8733ce95ff8","resolution":{"observed_at":"2026-08-14T11:01:46.693909Z","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":"2026-08-14T11:01:46.668014Z","title":"Towards viewpoint invariant 3d human pose estimation","venue":null,"work_id":"3532e1d6-1177-4eec-842e-1580e9701b0d","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.695176Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:08911ba5e65016aad8c4fd96e3bc60cbe9fad0f93b0a728fa155c93ac8fc1005","observation_id":"b165cf71-a8fb-45d0-88d5-382594840806","resolution":{"observed_at":"2026-08-14T11:01:46.675060Z","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":"2026-08-14T11:01:46.648313Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"2ef4cbcb-b8fd-4873-969d-6a87ec3dab6e","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.701203Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:8782940f9c430417d6293cd13c0dff486cf68c63c6c843d9c6b60b0f34245e1c","observation_id":"98092bb7-1941-4d59-bbc0-1f91b303ee5b","resolution":{"observed_at":"2026-08-14T11:01:46.654724Z","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":"2026-08-14T11:01:46.627128Z","title":"Depth-images-based pose estimation using regression forests and graphical models","venue":null,"work_id":"f54ea0ba-d160-4732-bc12-97c634aec4c7","year":2015},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.706912Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:feaa08b1d70e0c2c894c45cd1dbfbc8b5760ed7a70fcddf8c55f387b9fe4906d","observation_id":"dbe5fe97-ee99-483c-a02c-da034c3693ba","resolution":{"observed_at":"2026-08-14T11:01:46.633022Z","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":"1705.09606","last_updated":"2018-04-11T23:26:00Z","snapshot_observed_at":"2026-08-18T09:44:15.153492Z","submitted_at":"2017-05-26T14:55:44Z","title":"End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data","version":2},"cited_work":{"arxiv_id":"1705.09606","doi":null,"metadata_source":"pith","pith_arxiv_id":"1705.09606","snapshot_observed_at":"2026-08-14T11:01:45.998815Z","title":"End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data","venue":"cs.CV","work_id":"b1a168c9-7118-444d-87b9-6ae7e4d9e872","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.712914Z"},"links":{"cited_paper":"/paper/1705.09606","citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:267a18681d8305207d00afae1d9a140ca29fe0f02233c95eda7d6dfcd93d7382","observation_id":"e72e0b79-439a-4855-b4f4-dd4788fe810f","resolution":{"observed_at":"2026-08-14T11:01:46.006833Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T11:01:46.608014Z","title":"V oxnet: A 3d con- volutional neural network for real-time object recognition","venue":null,"work_id":"1fed55a3-8dd9-4976-85ae-537d9410c664","year":2015},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.719903Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:b73c27366b5328f0efb3412a73c7d0ca228116ac020888115c4475b3fc655632","observation_id":"b6e56c0e-f392-4166-bb1f-45a3a1be9409","resolution":{"observed_at":"2026-08-14T11:01:46.613793Z","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":"1706.04758","last_updated":"2017-07-08T17:10:18Z","snapshot_observed_at":"2026-08-14T20:53:55.428932Z","submitted_at":"2017-06-15T07:25:34Z","title":"Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation","version":2},"cited_work":{"arxiv_id":"1706.04758","doi":null,"metadata_source":"pith","pith_arxiv_id":"1706.04758","snapshot_observed_at":"2026-08-14T11:01:45.968119Z","title":"Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation","venue":"cs.CV","work_id":"327855b8-d340-4bc6-9848-eaf2ca8d650e","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.725921Z"},"links":{"cited_paper":"/paper/1706.04758","citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:1bcd8c0001f180a3f734a43eb5366882105020af03cd9ead32cb71a2890e62f9","observation_id":"87474bec-a2dc-43b0-b102-923fd4e4d007","resolution":{"observed_at":"2026-08-14T11:01:45.976498Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T11:01:46.586912Z","title":"V2v-posenet: V oxel-to-voxel prediction network for accu- rate 3d hand and human pose estimation from a single depth map","venue":null,"work_id":"496c8464-d601-4b72-a5e1-620061334556","year":2018},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.732174Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:6a400b918e1c24fceb7039781e09a767e371fd723d6ffcbb9845c5c859747d53","observation_id":"96c1e80f-7e86-4ea6-8cb5-66ed896ca182","resolution":{"observed_at":"2026-08-14T11:01:46.593336Z","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":"2026-08-14T11:01:46.565701Z","title":"Stacked hour- glass networks for human pose estimation","venue":null,"work_id":"76f8787a-8454-471c-b9a6-5918dc3bdc6b","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.737743Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:0f1e315991a386f8d6510a812e99d29d5468b9ba840d8c4345b0deb3331cde73","observation_id":"798689fb-c7e2-4dae-9b33-b1ad03e29f41","resolution":{"observed_at":"2026-08-14T11:01:46.571714Z","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":"2026-08-14T11:01:46.545164Z","title":"Deepprior++: Im- proving fast and accurate 3d hand pose estimation","venue":null,"work_id":"7de33d33-06dd-417a-a37b-46a700665fa1","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.744569Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:46181d24d35c3da40922ba3f2757b6d5c587a27f2dc11415c68142a6b43762d3","observation_id":"35a2cfbd-2736-4100-9b36-e872750502d1","resolution":{"observed_at":"2026-08-14T11:01:46.550385Z","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":"1502.06807","last_updated":"2016-12-02T15:41:25Z","snapshot_observed_at":"2026-08-15T19:52:02.434403Z","submitted_at":"2015-02-24T13:39:55Z","title":"Hands Deep in Deep Learning for Hand Pose Estimation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1502.06807","snapshot_observed_at":"2026-08-14T11:01:45.749913Z","title":"Hands deep in deep learning for hand pose estimation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.749913Z"},"links":{"cited_paper":"/paper/1502.06807","citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:e1a60589e336bf5c7ad763d0a67e090737f2659284e628e1f0d1412c83baab07","observation_id":"46c3101c-bc32-4d80-aa21-2ce5a4bd7c76","resolution":{"observed_at":"2026-08-14T11:01:45.749913Z","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":"2026-08-14T11:01:46.523878Z","title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","venue":null,"work_id":"ad807cd5-c3d5-4849-88dd-01f4dd22cb58","year":null},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.755594Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:c930bfffe923b40261d4db644c61aac5fd7840dd40eb9fdf03665e53084db4e8","observation_id":"41e04f1f-953f-4397-b7ce-2e3e090bcdd8","resolution":{"observed_at":"2026-08-14T11:01:46.530214Z","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":"2026-08-14T11:01:46.503555Z","title":"Faster r-cnn: Towards real-time object detection with region proposal networks","venue":null,"work_id":"8b746313-6372-42fa-8ebc-c983fe1f18e8","year":2015},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.761176Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:a46de5531d99c041f439cad3ca6dfa659785f1e3ebe08c68a1e90c412933aca2","observation_id":"f7682e71-b2e9-4084-b247-4adcc1b03893","resolution":{"observed_at":"2026-08-14T11:01:46.511883Z","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":"2026-08-14T11:01:46.481392Z","title":"Monocular real-time 3d articulated hand pose estimation","venue":null,"work_id":"b5e3b923-4059-418e-9020-87d4011baa32","year":2009},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.766241Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:ec88b75416b406146a4f8047e57eac66aa2489345ffa45dd19d82ad05e5c58d3","observation_id":"dd2cdbe2-b3f2-4e83-94ab-83305f32cdfd","resolution":{"observed_at":"2026-08-14T11:01:46.488481Z","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":"2026-08-14T11:01:46.457625Z","title":"Real-time human pose recognition in parts from sin- gle depth images","venue":null,"work_id":"c754b279-54c8-44ce-90d3-3a7c32a81aa7","year":null},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.771171Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:97db2c399bde98990ae9d31f6273608d5f008c7d89e3d8f49785dbb7c64a690d","observation_id":"2f5510ea-0f32-4ab1-8a59-6012f0e1f4cc","resolution":{"observed_at":"2026-08-14T11:01:46.465526Z","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":"2026-08-14T11:01:46.435964Z","title":"Cascaded hand pose regression","venue":null,"work_id":"be40685b-60e6-4ffa-acb1-6bd3f360e44f","year":2015},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.776670Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:a1813bf9af1d7639e0340626731a5d7a270be9f046b7d10aa0bfcd01465a23a6","observation_id":"228b768b-8567-418e-b725-2b1e670cdee8","resolution":{"observed_at":"2026-08-14T11:01:46.442932Z","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":"2026-08-14T11:01:46.413149Z","title":"Integral human pose regression","venue":null,"work_id":"40efd443-edbe-49bb-afaa-ec8c3fa06309","year":2018},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.783015Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:5b19c2bef02d0620e0c7af410bb03df3a8cbec2db327a8b8a9b5d1f78467d883","observation_id":"9312dad5-b5a1-4e0a-b2ac-cc8a73024443","resolution":{"observed_at":"2026-08-14T11:01:46.418943Z","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":"2026-08-14T11:01:46.391695Z","title":"Latent regression forest: Structured estimation of 3d articulated hand posture","venue":null,"work_id":"072f4abf-c89e-4167-ae20-4b9c1b8c9923","year":2014},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.788999Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:488c938ad385175a56b3ccb426162f8b400aeeba5f13205056b2385d7d18269b","observation_id":"7425ca88-e839-4a3b-a408-0067571ed83e","resolution":{"observed_at":"2026-08-14T11:01:46.399481Z","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":"2026-08-14T11:01:46.371951Z","title":"Real-time continuous pose recovery of human hands using convolutional networks","venue":null,"work_id":"2ff8a259-6b25-4ff5-b457-fb89e2d642ec","year":2014},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.796744Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:f31d98cfef1ef3c289da4f17d43ada056b051cbd4fd0e68b44e42e761216736b","observation_id":"90242624-be0b-4951-8030-4a2ff23a2b5c","resolution":{"observed_at":"2026-08-14T11:01:46.379015Z","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":"2026-08-14T11:01:46.351958Z","title":"Deeppose: Hu- man pose estimation via deep neural networks","venue":null,"work_id":"818a5cf8-d36b-4364-93ed-cec436297fa9","year":2014},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.804001Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:6a779626f0fb37fbc190566a5785150a139685c0c00b2e7014f7ac372e5abe7a","observation_id":"afb30676-a972-4925-a751-b71d09193454","resolution":{"observed_at":"2026-08-14T11:01:46.357337Z","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":"2026-08-14T11:01:46.334392Z","title":"Dense 3d regression for hand pose estimation","venue":null,"work_id":"6b0caa36-464f-44b1-b117-f85883f5eedd","year":2018},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.811103Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:e48c5dc387432c9c9979d9f91b2b8d13d7b3ba6ba4ec699b5b5ef2f96a8b8b69","observation_id":"9f5e2c95-06fc-4f30-a9dc-e925545efbde","resolution":{"observed_at":"2026-08-14T11:01:46.339774Z","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":"2026-08-14T11:01:46.309692Z","title":"Crossing nets: Combining gans and vaes with a shared latent space for hand pose estimation","venue":null,"work_id":"8e4b6d82-8518-4295-9fe3-c0217512d25b","year":null},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.817135Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:d9fc7847a43ceae24ecdab9505d5dca135dea2a8331a86689afe690635490cbc","observation_id":"b4a1b127-5131-4a54-8d08-072caf483dee","resolution":{"observed_at":"2026-08-14T11:01:46.319959Z","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":"2026-08-14T11:01:46.287104Z","title":"Convolutional memory blocks for depth data representation learning","venue":null,"work_id":"a15f5fc4-8da6-4ae5-aa37-0ac014aef783","year":null},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.822369Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:16e7055da29ba8e1ae2f2d31d4fa40f867fee0426fd7a0e88a1782058b5df9a2","observation_id":"4e7c9dce-3551-4812-a26b-f83c319e5e64","resolution":{"observed_at":"2026-08-14T11:01:46.293606Z","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":"2026-08-14T11:01:46.268516Z","title":"Human pose estimation from depth images via inference embedded multi-task learning","venue":null,"work_id":"591bf68b-41c4-44cb-99a5-2a51bdec2ece","year":null},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.827795Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:8e15c1f85c789d2bbb2ca2a7f0c8fb08277b1e4cfe5db55546a7a32210f020dd","observation_id":"75aad7c7-09bf-4bcf-ad98-7294c2e98708","resolution":{"observed_at":"2026-08-14T11:01:46.275148Z","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":"2026-08-14T11:01:46.245685Z","title":"Convolutional pose machines","venue":null,"work_id":"0d5235bd-3cd6-48c4-9b82-63bd10d47fbe","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.835419Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:c07873d58e5e0b2ca3c935acfcf826167b5ef7e9f2ab5fa98bd422ddc0bc716e","observation_id":"5dad5222-ac7b-4f6b-bb34-127b7fddab87","resolution":{"observed_at":"2026-08-14T11:01:46.252621Z","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":"2026-08-14T11:01:46.219945Z","title":"Simple baselines for human pose estimation and tracking","venue":null,"work_id":"049e80ef-7d2e-4487-b855-62fe5caaca8e","year":2018},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.840980Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:e0a512307c5f0de1e3ad4e1eda9ec6f8deaf86c6d8d60c71bf898b68ab078115","observation_id":"7a4286c2-a361-4efb-88ee-742efec196ad","resolution":{"observed_at":"2026-08-14T11:01:46.227219Z","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":"2026-08-14T11:01:46.200008Z","title":"Lie-x: Depth image based articulated object pose estimation, tracking, and action recognition on lie groups","venue":null,"work_id":"1ea1a6e0-6603-43e0-a491-4ba4e07c2c5e","year":null},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.846102Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:bd67b00f129ad643dcfbbbc651124d7c9531fc2239f25569d7cb222b4a16dd1a","observation_id":"8adf3f5a-5bc0-4e90-9069-a02fb7c2fb1c","resolution":{"observed_at":"2026-08-14T11:01:46.205661Z","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":"2026-08-14T11:01:46.177975Z","title":"Accurate 3d pose estimation from a single depth image","venue":null,"work_id":"75e41867-9633-402b-b1b7-28d85dc02913","year":2011},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.851349Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:bcffdb0eee5e0ddb1467716a112822474361924c4e619b53b71f96335ccc58e1","observation_id":"0e3fdca3-6b68-4cd2-91c0-f929f7bcbd24","resolution":{"observed_at":"2026-08-14T11:01:46.185212Z","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":"2026-08-14T11:01:46.158423Z","title":"Depth- based 3d hand pose estimation: From current achievements to future goals","venue":null,"work_id":"ac5fb129-ec2a-4655-a2ea-4970303bccfe","year":null},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.856844Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:53f150933de96ee5d159e1bba891463b844edda898e552aa2ee81211ae1ab32f","observation_id":"f0654ca7-c18b-423b-a7ff-bc85a339d8e6","resolution":{"observed_at":"2026-08-14T11:01:46.164225Z","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":"1707.02237","last_updated":"2017-07-07T15:46:58Z","snapshot_observed_at":"2026-08-14T20:49:01.565742Z","submitted_at":"2017-07-07T15:46:58Z","title":"The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.02237","snapshot_observed_at":"2026-08-14T11:01:45.862972Z","title":"The 2017 hands in the million challenge on 3d hand pose estimation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.862972Z"},"links":{"cited_paper":"/paper/1707.02237","citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:1b33c04ead86d3726bc77ada11af617670975fa5dbbacf8aa0be1f08272521f4","observation_id":"91ccb472-24d2-46bd-a41d-290b34642da4","resolution":{"observed_at":"2026-08-14T11:01:45.862972Z","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":"2026-08-14T11:01:46.140599Z","title":"Bighand2","venue":null,"work_id":"25d9bcbf-1692-444d-aa34-c9d01eea3036","year":2017},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.869393Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:13673c9a7777bd5a6aad4446818a09c59d55802e081a3b2d6e19449ecc5c914f","observation_id":"71e2bebc-ddff-407f-832b-77001ec31f50","resolution":{"observed_at":"2026-08-14T11:01:46.145856Z","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":"2026-08-14T11:01:46.119212Z","title":"Random tree walk toward instantaneous 3d hu- man pose estimation","venue":null,"work_id":"69bd24d4-bc07-44d4-a715-849356f76535","year":2015},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.875334Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:a48d884de682d1114d9518ae54dce657d8f9fcbc5bb013521e36fce6f76c28be","observation_id":"7769fc7c-7222-41bb-962d-a620efe3ab3c","resolution":{"observed_at":"2026-08-14T11:01:46.125836Z","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":"2026-08-14T11:01:46.099122Z","title":"Model-based deep hand pose estimation","venue":null,"work_id":"b5099ec6-43b9-4151-83a4-d967ffa8fb8b","year":2016},"citing_paper":{"arxiv_id":"1908.09999","last_updated":"2019-08-27T02:58:47Z","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T11:01:45.883094Z"},"links":{"citing_paper":"/paper/1908.09999"},"observation_digest":"sha256:bd4193c0fee8fe232580d7518b23002ef39fcb89e38c2dc37c3db77938f40848","observation_id":"22a15536-d43c-478f-9b49-f32ff5e09bd6","resolution":{"observed_at":"2026-08-14T11:01:46.105414Z","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":"1908.09999","last_updated":"2019-08-27T02:58:47Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T16:32:50.296104Z","submitted_at":"2019-08-27T02:58:47Z","title":"A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":43},"total_outbound_references":50},"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 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:1908.09999."}