{"as_of":"2026-08-21T06:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e9791ddf2652c92af1c98b39b73d5b7f31a256000b9f23036fb068194b9f09fb","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T04:21:09.055290Z","state":"measured"},{"denominator":69,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":69,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-19T05:56:56.219634Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-19T05:57:07.882194Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"cited_work":{"arxiv_id":"2412.01508","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.01508","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"//arxiv.org/abs/2412.01508, https://arxiv.org/abs/2412.01508","venue":null,"work_id":"ef0f3113-89b9-4b75-9952-0d16bc2d15de","year":2024},"citing_paper":{"arxiv_id":"2507.04465","last_updated":"2026-05-09T17:48:50Z","snapshot_observed_at":"2026-08-16T04:16:04.575265Z","submitted_at":"2025-07-06T17:03:01Z","title":"Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions","version":4},"reference_index":131,"source":"arxiv_source","source_observed_at":"2026-05-19T05:56:56.219634Z"},"links":{"cited_paper":"/paper/2412.01508","citing_paper":"/paper/2507.04465"},"observation_digest":"sha256:53c51e5ad42af1e2be554d963c111bcfd0aed6e356c0c3223656356a8a8e6cf7","observation_id":"936fb643-8fd9-4882-8bd8-ca6e4e953152","resolution":{"observed_at":"2026-05-19T05:57:07.885031Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"cited_work":{"arxiv_id":"2412.01508","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.01508","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"//arxiv.org/abs/2412.01508, https://arxiv.org/abs/2412.01508","venue":null,"work_id":"ef0f3113-89b9-4b75-9952-0d16bc2d15de","year":2024},"citing_paper":{"arxiv_id":"2605.13462","last_updated":"2026-05-13T12:53:22Z","snapshot_observed_at":"2026-08-03T21:12:36.199572Z","submitted_at":"2026-05-13T12:53:22Z","title":"Efficient Sensor Fusion for Gesture Recognition on Resource-Constrained Devices","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-14T19:21:58.038702Z"},"links":{"cited_paper":"/paper/2412.01508","citing_paper":"/paper/2605.13462"},"observation_digest":"sha256:efba080ffadd2e7672f7890a378c1a6e1bf363c84198cb197bdc39868950ef36","observation_id":"ba543e70-4b09-40eb-916c-aa49b8d30b04","resolution":{"observed_at":"2026-05-14T19:22:50.268188Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.01508/citation-record","integrity":"/paper/2412.01508/integrity","json":"/paper/2412.01508/citation-record.json","paper":"/paper/2412.01508"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:21:10.407960Z","title":"https://workspaceupdates.googleblog.com/ 2023/11/google-meet-hand-raise-gesture- detection.html","venue":null,"work_id":"90692ee8-d243-497b-9396-657cefdadd38","year":2023},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.629734Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:3ad164c0a46f316803ed61f275faee18cafc7c0f1dd7f5f08f7302e4686e9a6b","observation_id":"141c42ee-4ae6-487f-9919-6f42caa3b3f8","resolution":{"observed_at":"2026-08-12T04:21:10.413214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.390269Z","title":"https : / / support","venue":null,"work_id":"26e09425-66ef-460e-8feb-966731d5a8c4","year":null},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.634810Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:82c755d035d71d674cf309442156cd7e9adac4836e98df541ec46ec9e9d6bac7","observation_id":"77401253-e927-4972-9685-29f62b7772d4","resolution":{"observed_at":"2026-08-12T04:21:10.396249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.372946Z","title":"https : //github.com/Linzaer/Ultra- Light- Fast- Generic-Face-Detector-1MB , 2019","venue":null,"work_id":"edaa2c90-4f30-4525-b1ea-1036e2a18b08","year":2019},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.639565Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:cb1d977904c5ee7300a644ce12cfe10271869cb69860f4e98c09e75d2bf78570","observation_id":"996873c4-a75b-4cad-abcf-6fcc5f62b880","resolution":{"observed_at":"2026-08-12T04:21:10.378138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.356698Z","title":"https : / / users","venue":null,"work_id":"c4450904-e39d-4a44-97de-cd78e94a1cf7","year":2021},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.644813Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:b5e9f40c045d6c40304e23ebe4683a0407ad1936bf9e13af9ada062bc75afcf4","observation_id":"031aa9f6-37dd-463c-9f10-24fb2465293f","resolution":{"observed_at":"2026-08-12T04:21:10.362072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.338120Z","title":"Smart home automation-based hand gesture recogni- tion using feature fusion and recurrent neural network","venue":null,"work_id":"b9c6eea0-9aec-4f4c-a601-98cd4cfa93c1","year":2023},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.649635Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:7a0ea3e250ff3f4db24c44e0925dcf0be706c2aa7daa71500db8ddde637942d8","observation_id":"aa210625-579e-4622-9761-4e1391a223a1","resolution":{"observed_at":"2026-08-12T04:21:10.343864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.320609Z","title":"A low power, fully event-based gesture recognition system","venue":null,"work_id":"ddc8a456-4b6b-4440-9ddb-e3a617e1e745","year":2017},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.654423Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:f49500c31ae65e6f5775caa809575b7f078347716c38a20744ea5af60fc504b9","observation_id":"56a564c0-e189-4e15-81f9-05de2e32d397","resolution":{"observed_at":"2026-08-12T04:21:10.326566Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.301448Z","title":null,"venue":null,"work_id":"8406b503-aed3-4dea-b0e9-ce1e3338bcc2","year":2017},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.660038Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:888b639edbde75018030534c916093928dcfa708f92e32e108e9d716cc024b3d","observation_id":"a508b36b-d11d-4088-982b-bda1ec533e9e","resolution":{"observed_at":"2026-08-12T04:21:10.307242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.282683Z","title":"Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions","venue":null,"work_id":"34f948c8-a7c9-4b30-90f0-648939546e0c","year":2015},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.665064Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:a1625277fd6d02dc1cc8d577c1349ccfc8d7e2eca18e3e7a8454ae2af80ea9b9","observation_id":"98c56409-0a18-45c9-ac72-4b777685514c","resolution":{"observed_at":"2026-08-12T04:21:10.288296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.264051Z","title":"Ipn hand: A video dataset and benchmark for real-time continuous hand gesture recog- nition","venue":null,"work_id":"da96cc9d-3690-4258-9471-2b1a023fac13","year":2020},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.670481Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:133fcf591760366f15688e4dc5e89e12cfb92f6183d4d666dfbbed69085a7dbe","observation_id":"77cdcdf4-0fb2-49fd-b853-37ecaca086a3","resolution":{"observed_at":"2026-08-12T04:21:10.269503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.243848Z","title":"C, K.V Suresh, Sheela S","venue":null,"work_id":"b220b6eb-4dba-4789-a121-2ed2b12c7941","year":2023},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.677603Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:3be140b2f82617ecc2ac48d064ce9a3dd2602d90d71880efd7004626c1d5be44","observation_id":"14c59bd4-b7f5-44b7-ab06-dcfaa998f541","resolution":{"observed_at":"2026-08-12T04:21:10.249129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.227900Z","title":"Quo vadis, action recognition? a new model and the kinetics dataset","venue":null,"work_id":"f0b311c6-acfe-47fb-9204-edc32c53841e","year":2017},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.683269Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:6a650723890b6954cea26432af66f521c17aabb284ff62856b5b02ff707d66ec","observation_id":"b88bb9a3-6247-471c-ba83-3fd8ef9ddc93","resolution":{"observed_at":"2026-08-12T04:21:10.233210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.208075Z","title":"Human computer interaction through hand gestures for home automation using microsoft kinect","venue":null,"work_id":"e867f5c0-c155-45c6-89bf-5dbbe794572e","year":null},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.689803Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:bc573daba30f618308b8c92771803deaf0d56ce4eb142c91644b18a181211655","observation_id":"38814f6d-29e0-49f8-9be8-69ff112b83bc","resolution":{"observed_at":"2026-08-12T04:21:10.213658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-12T04:21:08.695107Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.695107Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:aa493112e5ce8a343e77ad7b9b44fb3d85b2995c4cab03e1513f817c6041760c","observation_id":"1b4d2a52-0f9f-4bc2-b74d-7532a349c02a","resolution":{"observed_at":"2026-08-12T04:21:08.695107Z","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":"2026-08-12T04:21:10.189872Z","title":"Pallab Jyoti Dutta, M","venue":null,"work_id":"dd0c8cd7-7e26-4bab-9887-f5f75711762d","year":2023},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.705822Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:4f593f5528c9859056c3cd87a795e648ca56e784489b689fb9d2b984b8ef2061","observation_id":"3c297b9e-3d2f-458e-a907-f863ff772b5a","resolution":{"observed_at":"2026-08-12T04:21:10.194911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.172165Z","title":"Gestures for natu- ral interaction with video","venue":null,"work_id":"df733e44-eb42-4115-aa58-b396bc3d0409","year":2012},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.712767Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:6402e18160292bef0bcf7a675067a64a227de276b05ad9986dd609823e388760","observation_id":"c102e3fa-22f6-4a6c-a855-6fb36155d4c6","resolution":{"observed_at":"2026-08-12T04:21:10.177620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.153196Z","title":"The role of gesture in communica- tion and thinking","venue":null,"work_id":"81efa191-8ac6-491a-8ecb-8c299412b9f2","year":1999},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.719395Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:c7384c5ec3f0dede656b5f746e8ef4bbb865132db25aacf371cf830eba5df6e4","observation_id":"c2b97a17-1e4e-4c41-a18e-20d0db72aa05","resolution":{"observed_at":"2026-08-12T04:21:10.158747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.136891Z","title":"A preliminary study of iot-device control using gestures recognition","venue":null,"work_id":"adad86df-9c39-4a9a-b933-095fa3acdd02","year":2017},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.724797Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:cb1dd28fb82493fb528753512c091da5a63eecda08729e8b4219ddba50fd86f0","observation_id":"d6e6562c-31a1-4fd5-a6f8-c4250b83b9b1","resolution":{"observed_at":"2026-08-12T04:21:10.142123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.119955Z","title":"Zhang, Shaoqing Ren, and Jian Sun","venue":null,"work_id":"915c4fc2-ea52-4bff-a6c4-dca0f53eb15d","year":2016},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.737251Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:9ca654290d89714f5984a990ee02713ae60ec8cd262edfc795958e32ca15c967","observation_id":"00f7f80c-c51f-4383-8cf5-fc5e06d8e3e8","resolution":{"observed_at":"2026-08-12T04:21:10.125206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.02244","last_updated":"2019-11-20T17:26:40Z","snapshot_observed_at":"2026-08-17T11:57:08.807566Z","submitted_at":"2019-05-06T19:38:31Z","title":"Searching for MobileNetV3","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.02244","snapshot_observed_at":"2026-08-12T04:21:08.743999Z","title":"Le, and Hartwig Adam","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.743999Z"},"links":{"cited_paper":"/paper/1905.02244","citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:f44b0d3d8f15cfb6f048d1dc594339653486d6c0156f61a14b67cc91d9f1547b","observation_id":"4e5a6bed-2a60-4703-aa6c-859d8250208f","resolution":{"observed_at":"2026-08-12T04:21:08.743999Z","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":"2026-08-12T04:21:10.103686Z","title":"Lared: a large rgb-d extensible hand gesture dataset","venue":null,"work_id":"c57a1db5-ef40-4c76-9820-dcd08f782165","year":2014},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.750372Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:3c6328f34700ae89a63e0e2c3d23a79069c2f2181a2585d52745f7913cc6a295","observation_id":"0e9a63e4-4eb9-4014-ad4c-5dffcc4d1a54","resolution":{"observed_at":"2026-08-12T04:21:10.109020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-20T11:47:17.477107Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-12T04:21:08.756106Z","title":"Edward Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, and Weizhu Chen","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.756106Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:bae3d024701994bba86340c8c7d32109c011d75f1f300963587dc4df0ea42afc","observation_id":"b9af7901-28bf-4497-a137-d01468bc5807","resolution":{"observed_at":"2026-08-12T04:21:08.756106Z","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":"2026-08-12T04:21:10.085764Z","title":"Hagrid – hand gesture recognition image dataset","venue":null,"work_id":"3216dfb8-8d36-4a3d-946d-3eb4dd4a6482","year":2024},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.763858Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:0c93fc20d647dab031fedf7ffba2a0e1416645e40eddddee26230d52e4c5a510","observation_id":"3df9d40b-86d9-4326-969b-91442448b418","resolution":{"observed_at":"2026-08-12T04:21:10.091183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.066864Z","title":"A taxonomy of gestures in human computer interactions","venue":null,"work_id":"12e893d9-22cd-4ce4-a03f-aa5ee09249d7","year":2005},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.772254Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:467c502c29b702271d6bd0f5a8160e34c4724704a8e4ade9e15a33ebd8339536","observation_id":"8ac9de26-7b97-4a8b-b007-5e96d56afb38","resolution":{"observed_at":"2026-08-12T04:21:10.073609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.047255Z","title":"Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation","venue":null,"work_id":"4bc737b4-e799-426f-bf70-3969d65adebe","year":2021},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.778390Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:e5144b31a085afd2eab1ea8458a88a14e402db5795be5e0dfb61e8c3ebd35234","observation_id":"9f90b354-fb87-4941-8d5a-6e9a49032bfc","resolution":{"observed_at":"2026-08-12T04:21:10.052842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.030120Z","title":"Electronic device control using hand gesture recognition system for dif- ferently abled","venue":null,"work_id":"f4f7a479-915b-45e3-8a78-86967fb4c3dd","year":2018},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.785799Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:653c97501a30e85226f5bd087107a7652fa1305746b407f3a2cfff8a7e6340a8","observation_id":"51a5fb38-d755-4d6a-8bf8-257ebe9d517c","resolution":{"observed_at":"2026-08-12T04:21:10.035402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:10.011726Z","title":"Hand gesture recognition: A literature review","venue":null,"work_id":"662f97cd-1128-448c-9471-f41fa03a598a","year":2012},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.792669Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:9e0a37e737970204f9ddc373f03dc2c5f535717b12124f843ffd7cfd2f8d00e6","observation_id":"e57ad9b8-ddbc-464b-9709-c33fa72ea576","resolution":{"observed_at":"2026-08-12T04:21:10.018223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.986950Z","title":"Real-time hand gesture detection and classification using convolutional neural networks","venue":null,"work_id":"f6443008-0bec-44f8-9195-6c3472675295","year":2019},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.798371Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:84af0efc415f3587c6c044a190d4676e3d20431631e0e4f85ed78b80b6578874","observation_id":"0d6a85d2-db59-4918-896c-8ee5c8a35379","resolution":{"observed_at":"2026-08-12T04:21:09.994442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.962363Z","title":"Mivolo: Multi- input transformer for age and gender estimation","venue":null,"work_id":"37701e19-c8a8-4608-811d-6a4c1bb1d2e8","year":2023},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.803975Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:48ac7468179086e41d5900433820cef037eb69fbc4ff62d8789b8af7e1a1ddfe","observation_id":"604899df-cea9-4121-ae3e-85a421a27215","resolution":{"observed_at":"2026-08-12T04:21:09.970777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:08.809140Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.809140Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:d5ee39665c497c5b0e5258360a8c0fff46d43b63c2d00062fdc64fce68e1bb5b","observation_id":"61540922-e795-455b-ba72-97d854ab05c2","resolution":{"observed_at":"2026-08-12T04:21:08.809140Z","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":"2026-08-12T04:21:09.926662Z","title":"Detector-in-detector: Multi-level analysis for human-parts","venue":null,"work_id":"2b512e38-82f6-4d2c-b756-29e409c59bdd","year":2019},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.814463Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:e97f7518cb0867c3bbcb53e8dc89bfc81b5a9fb0e435c75fc8f89ca9119b618b","observation_id":"b2c99549-2230-4c51-8f29-db7859a15a53","resolution":{"observed_at":"2026-08-12T04:21:09.935571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:08.820758Z","title":"Tsm: Temporal shift module for efficient video understanding","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.820758Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:b19a2cb7028121a8fedc17ae560d55eab830190b80958b0f72e7458c17f59828","observation_id":"b75dcf7a-b362-4a77-8970-fa7c41f4af6b","resolution":{"observed_at":"2026-08-12T04:21:08.820758Z","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":"2026-08-12T04:21:09.896025Z","title":"Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C","venue":null,"work_id":"8ac9a31a-edda-44d1-92ba-188786efd1a2","year":2014},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.826213Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:2467e6346eeaa669dfb784fb2a552b7faa14259b14e10c599b93c5aafb124330","observation_id":"b08cdfbf-3e48-4710-9c41-ae5b4bd1859a","resolution":{"observed_at":"2026-08-12T04:21:09.903087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.876619Z","title":"Learning discriminative representa- tions from rgb-d video data","venue":null,"work_id":"16db0157-4ff1-47ae-8e58-6701b851f326","year":2013},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.833376Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:3a95067f6b6336a00bd8e4eda1a63f9cc3733a50a1ca3c6f575e429dbb365cd2","observation_id":"9e5b1cd9-885b-485f-8f32-67c0f2480234","resolution":{"observed_at":"2026-08-12T04:21:09.882856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.855100Z","title":"Ssd: Single shot multibox detector","venue":null,"work_id":"a835b3a8-7b84-4b26-bbec-cddf699616a9","year":2016},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.838921Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:c738515b4ae5a66d39f9ad59c25b951a138e5d6d718ba0faa0338dfc044bfaed","observation_id":"d9d03eb9-0ad9-46e0-be12-b84469c62651","resolution":{"observed_at":"2026-08-12T04:21:09.861763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.836288Z","title":"A convnet for the 2020s","venue":null,"work_id":"1b39edf0-cfbd-47b7-b0cc-ed689635000a","year":2022},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.843543Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:a126704ef4bfd4723c13d9b18084ef8c8899ddfa1834e0b384c2a5fa9e31504c","observation_id":"f63e0a5f-c850-4923-8c77-114b4e3177dd","resolution":{"observed_at":"2026-08-12T04:21:09.841780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.809019Z","title":"Mediapipe: A framework for perceiving and processing reality","venue":null,"work_id":"5eb4285d-cfc7-454d-8f71-a29885a9556e","year":2019},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.848343Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:a6390e4416ecff763eef50d6a45ea3d62321b7e9706ccbb0fa7b09871ab70f2a","observation_id":"5d9a141a-a6e1-426c-ba71-f074315f5ee1","resolution":{"observed_at":"2026-08-12T04:21:09.822657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.788296Z","title":"Marin, F","venue":null,"work_id":"3e7c2774-62c5-4510-bfb6-099f9130ca4f","year":2014},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.853095Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:f9bf8a5c0c9433572459eff230631cf7383fa0f2a73479f3152ae4ddb01f4b9d","observation_id":"a8855beb-a6b4-4e9e-8952-2c582010cf73","resolution":{"observed_at":"2026-08-12T04:21:09.793842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.767401Z","title":"Marin, F","venue":null,"work_id":"fe0cd806-71a3-4d85-a3ba-689a5fc58e05","year":2015},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.860292Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:d216646888618ed6720d47ced2d77ccfd182123701f915e217a00afdca96c61e","observation_id":"a22063c4-9972-44fe-bf54-9a7a109042ed","resolution":{"observed_at":"2026-08-12T04:21:09.775269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.746749Z","title":"Materzynska, G","venue":null,"work_id":"63661dce-d80c-4c1f-8fe5-28595c2150b3","year":2019},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.866775Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:a1c2275e25fa7cb49245eaa0f7fea53492394c08287d01f7567cd6d4903bdbfe","observation_id":"9976a8c0-3b82-4d4f-ac97-21ad901a99c8","resolution":{"observed_at":"2026-08-12T04:21:09.752444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.718611Z","title":"Ouhands database for hand detection and pose recog- nition","venue":null,"work_id":"66a39337-91ec-48b5-819a-2ec3b81d69ca","year":2016},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.873360Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:b3992d7c06f615c9fdc49e534b92af14da78ded9ea5c97203f0fe635f9d51f25","observation_id":"9db87ec5-dbdd-4667-905d-e311f47cfa0c","resolution":{"observed_at":"2026-08-12T04:21:09.728683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.696376Z","title":null,"venue":null,"work_id":"746732f6-b479-494d-94f0-88ccc21e8ff9","year":2015},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.880703Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:58977f5b59262fb0fac6a020a9f89d468e95e7d7881246300108c1486f8d195f","observation_id":"fe11b75a-a1b8-4194-a03d-276eccb8810c","resolution":{"observed_at":"2026-08-12T04:21:09.702996Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.677896Z","title":"Memo and P","venue":null,"work_id":"94d5a6d6-c7fe-42de-a890-3007bf6ca870","year":2017},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.887257Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:1582ea543f83ca08443e32e0dc18c7088aa24712bcdb1aa1b43e2829f97eca1d","observation_id":"5a8277ea-2013-4e8d-825b-207731aedfd4","resolution":{"observed_at":"2026-08-12T04:21:09.683394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.659599Z","title":null,"venue":null,"work_id":"a3657d2a-12e3-4df2-bebd-77eecefb6299","year":2011},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.893870Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:75b763e80fd8403fb51c4da57e65210b5bfc86b28d682fbe86279d7b4e3bf7a6","observation_id":"bfd38080-1a4d-4a3a-8b0a-b3248385b1fa","resolution":{"observed_at":"2026-08-12T04:21:09.665563Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.639904Z","title":"Hand gesture recognition with 3d convolutional neu- ral networks","venue":null,"work_id":"02d5bfb3-fb02-4fcb-83af-5138793aed70","year":2015},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.899413Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:4dbb249dc60161114c47403859fa8fe6940f277f1dc8a063a7f64d33dc9bf778","observation_id":"d2199764-9ce0-4ee8-8abd-058876d33b5f","resolution":{"observed_at":"2026-08-12T04:21:09.645158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.619983Z","title":"Online detection and classification of dynamic hand gestures with recurrent 3d convolutional neural networks","venue":null,"work_id":"40504f7f-aa3c-4229-b136-ca6f169e2a90","year":2016},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.906619Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:df010ef9c631daeb0e8ca6bbd2cd3b681c7355424aaf3228be9cae7faf001f8e","observation_id":"b7093a41-d709-4bf0-83b6-0790f0c1a5e2","resolution":{"observed_at":"2026-08-12T04:21:09.626675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.600188Z","title":"Detecting hands and recognizing physical contact in the wild","venue":null,"work_id":"3aba3c20-0c9a-4225-9070-4501c12837e8","year":2020},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.913291Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:f92f66c333cdb2bfbd9e8782df308790bcd8e7eb045d0b421d24244edc413eac","observation_id":"1f91ed24-6064-4076-a38e-4119ed864d85","resolution":{"observed_at":"2026-08-12T04:21:09.606750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.579992Z","title":"Whose hands are these? hand detection and hand-body association in the wild","venue":null,"work_id":"5e55d0cf-261a-45b7-8906-8404e2c58ee5","year":2022},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.921615Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:329e0f89fe32d9d378872d7ca94980314b87d40da8139ef82ca5bb3bd3bb1301","observation_id":"1710f3f4-306e-4fb3-9dbb-377c84f74b37","resolution":{"observed_at":"2026-08-12T04:21:09.585121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.561901Z","title":"Contextual attention for hand detection in the wild","venue":null,"work_id":"e8b0e282-da0c-4410-bbf7-595d2e9339e0","year":2019},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.928070Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:23cc45967ea0708bf08ed7f8e3f8083b2f094e5e2016057da799642dd99f52f8","observation_id":"52c62453-5d5e-4feb-be28-b2367181f316","resolution":{"observed_at":"2026-08-12T04:21:09.567716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.537676Z","title":"Nuzzi, S","venue":null,"work_id":"bf696d96-a00d-421e-ae19-9ddc199ce099","year":2021},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.935154Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:5c1e4e2aedbff2ffc1cff96b9ffc2985245ed61a9f45a0bb0399fef89634dcd1","observation_id":"006a1355-b8c5-41ab-8c2c-c80f4c4f6d2e","resolution":{"observed_at":"2026-08-12T04:21:09.542723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.520203Z","title":"Alba-Castro","venue":null,"work_id":"08355e20-4e84-46e5-9c6e-291d680b5308","year":2014},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.941183Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:d8f220b350666dd54e7d0db7e9dd553bf832fbc3b15ee1c8d66bb352e35fa895","observation_id":"52d26659-37ee-4873-9f2a-3564b43a4046","resolution":{"observed_at":"2026-08-12T04:21:09.525580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.491296Z","title":"Spelling it out: Real- time asl fingerspelling recognition","venue":null,"work_id":"d9694535-22e1-4616-9046-c29b407d82c0","year":2011},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.948079Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:e66f8c8c28ecd80e52a0b1128958fa3b199c3719645c4555faab464415d926ec","observation_id":"7c7356df-eeb2-4901-8188-4741488dfbe1","resolution":{"observed_at":"2026-08-12T04:21:09.501479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.471043Z","title":"Bhanu Prasad","venue":null,"work_id":"5afb8950-73e6-4411-8ef1-f66952878f95","year":2010},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.953179Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:8e6c2f38e993ff632af99537f42cb38e7288a2c6d27cf51f1f81ea66c0cd305c","observation_id":"7b035845-d194-4dbe-a8c9-9b38a19379b9","resolution":{"observed_at":"2026-08-12T04:21:09.476802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.448916Z","title":"Robust hand gesture recognition based on finger-earth mover’s dis- tance with a commodity depth camera","venue":null,"work_id":"04eaee37-61f9-4d2c-8140-3677b0fe1a0e","year":2011},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.960015Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:38b84710c390dbd789d1236f433866b03d1f348cd7b52f0922fbe67a8599ca27","observation_id":"1fc6ca83-9706-4bf3-80f3-23c4274eeb24","resolution":{"observed_at":"2026-08-12T04:21:09.456357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.430259Z","title":"Chairgest: A challenge for multimodal mid-air gesture recognition for close hci","venue":null,"work_id":"26a1b3f8-e8ff-4b44-8b83-d3a0cd178aeb","year":2013},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.965832Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:3ff42314036ccaa41d726673e690fc01b95cf8364c832538e6fc552b7e3f7fd3","observation_id":"6b816ae4-8dd3-42c7-aa76-3895c7bbdffe","resolution":{"observed_at":"2026-08-12T04:21:09.435768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.413587Z","title":null,"venue":null,"work_id":"10815626-d632-438c-a6ae-ba3afa02f05a","year":2015},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.972474Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:006dd446e5f387a9fedf10d348be85432e9fb00bbda394f9184fb4d39f4a089f","observation_id":"eb721cc5-8a83-4605-a6c3-b1b356e57e29","resolution":{"observed_at":"2026-08-12T04:21:09.418697Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.390547Z","title":"Tracking body and hands for gesture recognition: Natops aircraft han- dling signals database","venue":null,"work_id":"58400a1e-fb3a-4c91-90ff-2f69563f8930","year":2011},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.979884Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:3b1057dfa56352ef4ddd4a369bfc32e4378ee850f773eab0a8ce7eb9aadc013a","observation_id":"89c67bfd-2061-46fa-b7a7-99e4db048b2f","resolution":{"observed_at":"2026-08-12T04:21:09.396275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.368490Z","title":"Designing hand gesture vocabularies for natural interaction by combining psycho-physiological and recognition factors","venue":null,"work_id":"0f96a040-ca09-42c1-886b-055761502278","year":2011},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.987199Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:9dc17db1a5d813b04ba332248ad9dd337898b992154935317edb2b4e0c6d7da6","observation_id":"77d5e08a-9855-4a6f-9a4b-25f355538914","resolution":{"observed_at":"2026-08-12T04:21:09.377745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.349014Z","title":"Learning spatiotemporal features with 3d convolutional networks","venue":null,"work_id":"f57edf16-1f12-40cc-9329-9476e15f0b13","year":2015},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:08.994821Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:8e6b0d0f68f01083b0704266854ef258736c99f6e36480d51e145d87476bd2d0","observation_id":"11c7d420-9af3-47bb-be26-6143859715fa","resolution":{"observed_at":"2026-08-12T04:21:09.354775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.331068Z","title":"Diffusers: State-of-the-art diffu- sion models","venue":null,"work_id":"34afa372-629d-4605-9a56-6bc7223f706b","year":2022},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.001090Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:8373c8691cd75506e7a6c74b10cbe9cbde7905322e3efce4aebc0d9d8c948ab5","observation_id":"3d680959-e6db-484f-954b-1f68f7458a45","resolution":{"observed_at":"2026-08-12T04:21:09.336094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.312947Z","title":"Li, Yibing Zhao, Shuai Zhou, Isabelle Guyon, and Sergio Escalera","venue":null,"work_id":"0a2e4bac-e50f-4fbe-93bf-f91909feea7a","year":2016},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.008616Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:332400bc4efd11ae00288ce02d5efccbb6cce75310132dc65477e2f53a423277","observation_id":"6891f250-2652-4898-b6b8-eeb17c890388","resolution":{"observed_at":"2026-08-12T04:21:09.318600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14458","last_updated":"2024-10-30T01:49:34Z","snapshot_observed_at":"2026-08-16T19:20:32.438778Z","submitted_at":"2024-05-23T11:44:29Z","title":"YOLOv10: Real-Time End-to-End Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14458","snapshot_observed_at":"2026-08-12T04:21:09.015386Z","title":"Yolov10: Real-time end- to-end object detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.015386Z"},"links":{"cited_paper":"/paper/2405.14458","citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:9944ad15be2de27995ccb0beaeb6cbc1a15a4b300ad4b4a37b1e9668d543ee20","observation_id":"bab7d7e1-058d-47ef-a111-e317a66bb7fe","resolution":{"observed_at":"2026-08-12T04:21:09.015386Z","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":"2026-08-12T04:21:09.290557Z","title":"Mems devices-based hand gesture recognition via wearable computing","venue":null,"work_id":"34825ed8-2c63-476e-baf5-6694b8bfe6b2","year":2023},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.022620Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:0d9d0f247fa73a083baa68907baf7346a774e61c43521357c8100d8d64d85c27","observation_id":"83d071b8-cefc-4bcd-9bf1-3c11586f07ea","resolution":{"observed_at":"2026-08-12T04:21:09.297927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.270060Z","title":"Smart control of home appliances using hand gesture recog- nition in an iot-enabled system","venue":null,"work_id":"95fe956d-7ada-4e97-a268-5d7d6d0d29d5","year":2023},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.029064Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:1bf9743b6c2d6f69f6ef11b6e9153acfb00b5ae9382d0a054bdd5574f0e140ea","observation_id":"07b65c6c-d34a-496c-a24a-a7bc6948f297","resolution":{"observed_at":"2026-08-12T04:21:09.276297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.253188Z","title":null,"venue":null,"work_id":"05dfd537-c194-4a2d-8cd1-6ebbdc8b5039","year":2019},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.037637Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:d0ddefa499c55eaa85c0e0fb7e8987f0734c367696c6a1f6a8db149e0d1aacc2","observation_id":"28784b96-9fe9-4836-b7e1-fe61aeb86497","resolution":{"observed_at":"2026-08-12T04:21:09.257901Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.233867Z","title":"Zoomtouch: Multi-user remote robot control in zoom by dnn-based ges- ture recognition","venue":null,"work_id":"6a683343-9a43-4832-9309-76297ab2126b","year":2020},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.042866Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:f9dbd3491c9ac64c86f6fc0e947463f535bf72d583cd88e520e50827e5fbb707","observation_id":"43ffcaaf-86d9-449d-b49f-a74f8bcd9ab7","resolution":{"observed_at":"2026-08-12T04:21:09.240141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.215352Z","title":"Zhang, C","venue":null,"work_id":"e308c377-c7d7-411d-983a-7948e801b3f9","year":2018},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.048526Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:f0e5b3e0f0c34cc3a6449805ab206ac56a6cc1b078bf0618aacc63afb971a7ed","observation_id":"30c23216-ccca-4f9a-ad72-7a74e504e022","resolution":{"observed_at":"2026-08-12T04:21:09.221349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T04:21:09.192736Z","title":"click” and “double-click","venue":null,"work_id":"1387c5f6-599d-488a-b8ec-02ecac4699a8","year":2017},"citing_paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T04:21:09.055290Z"},"links":{"citing_paper":"/paper/2412.01508"},"observation_digest":"sha256:7ea54666e8ca0517e9d71d6ff48cc8d563437c4bfb03f183cfafd1578e2d510d","observation_id":"f54e9174-4eab-4903-850a-e79a791ad0ea","resolution":{"observed_at":"2026-08-12T04:21:09.201220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.01508","last_updated":"2024-12-02T14:01:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T21:57:36.386756Z","submitted_at":"2024-12-02T14:01:44Z","title":"HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":56},"total_outbound_references":67},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2412.01508."}