{"as_of":"2026-08-12T18:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a35883ba832adc03ed8e5abe6ada157b0d1dce43148abad05e7088fef0a44891","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:08:56.023194Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.19676/citation-record","integrity":"/paper/2412.19676/integrity","json":"/paper/2412.19676/citation-record.json","paper":"/paper/2412.19676"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:08:56.661764Z","title":"Pose estimation and adaptive robot behaviour for human-robot interaction,","venue":null,"work_id":"487ac995-9f0c-46c7-8d01-ce29d866eda0","year":2009},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.802430Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:3e10c1e72a94bf9b747df76aefd41c7abb49c5f883e8b53acb6154fec4badfab","observation_id":"f686476a-2904-4be3-b932-5c4f8b5f3526","resolution":{"observed_at":"2026-08-11T00:08:56.666063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.649365Z","title":"The progress of human pose estimation: A survey and taxonomy of models applied in 2d human pose estimation,","venue":null,"work_id":"5f23f183-5029-4b92-afd8-c47dae9f406a","year":2020},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.807777Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:b49cdbfe847bf22c2b8507e94fc461029fe8cf972040191a915ae76e6023478e","observation_id":"1132c1ca-a479-4f58-bef6-e29d23c2302e","resolution":{"observed_at":"2026-08-11T00:08:56.653931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.636194Z","title":"Vnect: Real-time 3d human pose estimation with a single rgb camera,","venue":null,"work_id":"77b1292d-238c-4e8b-95f8-6f6505ef1483","year":2017},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.812107Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:b19dfdc0f3add6249bd707d005b6dc975909efc600ac3056982d1d1028689709","observation_id":"39c40562-b537-4a4f-99d4-68d58879a67a","resolution":{"observed_at":"2026-08-11T00:08:56.640627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.624089Z","title":"Weakly supervised multi-modal 3d human body pose estimation for autonomous driving,","venue":null,"work_id":"66782225-7258-4244-961e-37bc44081388","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.816633Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:0892b9003f6d81df00f5bd0a57d7e122bef9d364016eafdaaa4cf956bae71000","observation_id":"42da0830-119a-460b-becc-cd2ed007b168","resolution":{"observed_at":"2026-08-11T00:08:56.628529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:55.821108Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.821108Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:71b00d6c56482e8eed342e109347b9edf7cc756ea71aab5bf9814ea406137a9c","observation_id":"c0251f97-e294-40f2-8f19-1f5d903644f0","resolution":{"observed_at":"2026-08-11T00:08:55.821108Z","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":"2026-08-11T00:08:56.605107Z","title":"Graformer: Graph-oriented transformer for 3d pose estimation,","venue":null,"work_id":"48b8f4e2-3ce4-41a3-bdfd-d1ae51c57b49","year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.825421Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:fb822354b5246e30ced5dddecdbbeaff306e74cbffca9144df018c6489288e21","observation_id":"f5b63737-523f-4058-a73a-5e0d3638065a","resolution":{"observed_at":"2026-08-11T00:08:56.609549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.592622Z","title":"Pose-oriented transformer with uncertainty- guided refinement for 2d-to-3d human pose estimation,","venue":null,"work_id":"921d3f2c-9f3d-4aaa-a443-c43643623aee","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.830010Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:221ef25e0340f9502b9ce3dc4e03d25131f15e208b4d284ec4f510207c810ef6","observation_id":"b85eeea2-83e3-4170-9622-2dd0ecb45a61","resolution":{"observed_at":"2026-08-11T00:08:56.597013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.580122Z","title":"Motionagformer: Enhancing 3d human pose estimation with a transformer-gcnformer network,","venue":null,"work_id":"7c773e17-7d13-4329-8a3c-4b80852b2337","year":2024},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.834644Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:a83635d0c7cd71b4c9177553137ff03d3fc04cd3cf99a24d2a04b55819c226e0","observation_id":"6487d739-ea0d-4ea3-aa8e-9a8453cfc77c","resolution":{"observed_at":"2026-08-11T00:08:56.584601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:55.838598Z","title":"Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.838598Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:841d0eab95cb6ab680344bc349654046665c623f551f5a20f92a76071c7cea22","observation_id":"82a8363b-3547-472a-b8eb-2021d3afb25f","resolution":{"observed_at":"2026-08-11T00:08:55.838598Z","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":"2026-08-11T00:08:56.559696Z","title":"Skeleton-based human ac- tion recognition via large-kernel attention graph convolutional network,","venue":null,"work_id":"a3064995-8e9d-4f2c-9a92-420edb0e3022","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.842502Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:6851fc1afa004b581cb639602d7d2e49aaebcefd73f0ad9e9ba683572e811805","observation_id":"84caf702-62f4-4edd-a654-2bf27600d2cf","resolution":{"observed_at":"2026-08-11T00:08:56.564488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:55.846494Z","title":"Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.846494Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:da3af0ba235586c29c5c51fbbbc1cbe7730781b91831b326e90ad42b74cf8c55","observation_id":"4444e387-03a3-4254-bdcf-cbbec1310b5a","resolution":{"observed_at":"2026-08-11T00:08:55.846494Z","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":"2026-08-11T00:08:56.540079Z","title":"Exploiting tem- poral contexts with strided transformer for 3d human pose estimation,","venue":null,"work_id":"e822cf83-18f8-4c63-95a8-6c3d438feb99","year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.850936Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:935a1e6b4803baeae40fb7fe33d930da5a74223b3775e67c2f5c9209300ddd37","observation_id":"8ef971e5-aeec-4c56-b819-2d114bb85894","resolution":{"observed_at":"2026-08-11T00:08:56.544069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.527376Z","title":"Hourglass tokenizer for efficient transformer-based 3d human pose estimation,","venue":null,"work_id":"2641a21d-3581-4820-9720-de9ca3b8a90f","year":2024},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.855026Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:db5acee61adc4de6a6ff6e754c144e683b26ed859694b4777a89683584eb9ead","observation_id":"2f562c2e-a08b-41f6-af45-0af93bc88158","resolution":{"observed_at":"2026-08-11T00:08:56.531874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.513709Z","title":"Large separable kernel attention: Rethinking the large kernel attention design in cnn,","venue":null,"work_id":"79d81f1a-a44c-4598-921a-12ae5a83a1cf","year":2024},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.859240Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:8a7c7314f9fc62e46c9d905a4837cfd69e8c92162eb7293a403dd0375932a5fb","observation_id":"f46a1158-aa5f-43f2-a678-8e8b3831d8d3","resolution":{"observed_at":"2026-08-11T00:08:56.518969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.500475Z","title":"Pelk: Parameter- efficient large kernel convnets with peripheral convolution,","venue":null,"work_id":"e36ffc6f-5fdb-4d2a-aece-15bc9f2f0a89","year":2024},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.864238Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:e16d55d12d0d0f404588ecd471b3364f414e46146a8c67efd9b2be83b3af4a6c","observation_id":"13aff39c-c400-43b4-bd5a-7eb043bffa07","resolution":{"observed_at":"2026-08-11T00:08:56.504607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.487223Z","title":"Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video,","venue":null,"work_id":"a25f121c-eacf-4141-a61e-0e2c4ed63840","year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.869565Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:e374672472d23e76392e9f8b2b62e79dca69c5df932f1e97e5cd0b328c03ad72","observation_id":"45081232-cfca-4c3d-a0b1-2a60f90492a5","resolution":{"observed_at":"2026-08-11T00:08:56.491570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.472883Z","title":"3d human pose estimation with spatio-temporal criss-cross attention,","venue":null,"work_id":"b0a01352-1e09-4394-bda5-0dbb1e26b9ea","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.873752Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:8931655e4d24cd8f3c3ab8c0e4b685b7e3842d6f26fc0701ba18cd8ead51e378","observation_id":"e48394bc-deec-4806-a1d9-ec4e60d0f402","resolution":{"observed_at":"2026-08-11T00:08:56.478636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.450374Z","title":"Motionbert: A unified perspective on learning human motion representations,","venue":null,"work_id":"e6a16a60-19af-475a-b94d-d14ab3472e45","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.877984Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:ffa284647f8d182d5015705f0a0c75b2dcf5328a5e2218ccc79d764affdedfef","observation_id":"8cf11cf4-ad3c-48b2-9213-62b5666e4941","resolution":{"observed_at":"2026-08-11T00:08:56.455368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.19380","last_updated":"2025-03-31T08:29:53Z","snapshot_observed_at":"2026-08-10T16:14:55.185574Z","submitted_at":"2023-10-30T09:35:56Z","title":"TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition","version":4},"cited_work":{"arxiv_id":"2310.19380","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.19380","snapshot_observed_at":"2026-08-11T00:08:56.129914Z","title":"TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition","venue":"cs.CV","work_id":"09deb197-ca63-4e5f-823a-e5df8e9011d1","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.882235Z"},"links":{"cited_paper":"/paper/2310.19380","citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:0aaaf4b4d547e35f045e12f54795e3777ec5d8b401adac12f2efbc99287f9067","observation_id":"b29f2ebe-c873-406a-ace6-374b737481c9","resolution":{"observed_at":"2026-08-11T00:08:56.134485Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.433156Z","title":"Camera distance-aware top- down approach for 3d multi-person pose estimation from a single rgb image,","venue":null,"work_id":"c7879581-f46e-4adb-bcb5-68a610b5871c","year":2019},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.886756Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:7990e2ed29d789499af9547cafeb923700df20795b5cda9c880013434b610b18","observation_id":"309413a4-40a3-40b5-99cc-37ad56de6feb","resolution":{"observed_at":"2026-08-11T00:08:56.440342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:55.891531Z","title":"Integral human pose regression,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.891531Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:8469036feb231407463ddfd69939293acac321bbd04ae7a34788947446323556","observation_id":"626b6525-0bce-4ffa-9ff2-cb8629d4a033","resolution":{"observed_at":"2026-08-11T00:08:55.891531Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:08:55.895753Z","title":"Hemlets pose: Learning part-centric heatmap triplets for accurate 3d human pose estimation,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.895753Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:e1e1f826c2588776700d2f84b961ebf8046033240aea7a08241354b6e7553bdf","observation_id":"b4b461ea-f385-44dd-8a70-c28f3ef0f6f4","resolution":{"observed_at":"2026-08-11T00:08:55.895753Z","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":"2026-08-11T00:08:56.400902Z","title":"Probabilistic monocular 3d human pose estimation with normalizing flows,","venue":null,"work_id":"e98d40b3-bf18-429d-9d4f-f0757f51f714","year":2021},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.899697Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:d4e754563a16b6229d8ab9b0445e9f835754d832b64919717c85ce409a93a8dc","observation_id":"3a031507-e8e8-4151-bc14-94f85d5301f3","resolution":{"observed_at":"2026-08-11T00:08:56.406395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.384771Z","title":"Ordinal depth supervision for 3d human pose estimation,","venue":null,"work_id":"a74d559f-a986-49ca-8cf2-2a59c0105cf3","year":2018},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.903512Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:a24e97882b0db317caf611afd497e9d2b10f205fba806696c6c38fff4e6248f6","observation_id":"5d4ed2dd-763e-4f5f-942c-bfb9e05bc6ab","resolution":{"observed_at":"2026-08-11T00:08:56.391292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.368986Z","title":"Anatomy-aware 3d human pose estimation with bone-based pose decomposition,","venue":null,"work_id":"8b98179f-71cb-4189-b445-4e76cf865a9e","year":2021},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.907503Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:0a7ab37f1111aa633b1c075d953a7f0f32ad91d6035f2b357754295ae8bef93c","observation_id":"2e957a82-2e1c-4018-95c4-95ed8d4ca692","resolution":{"observed_at":"2026-08-11T00:08:56.374601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.354481Z","title":"Attention mechanism exploits temporal contexts: Real-time 3d human pose reconstruction,","venue":null,"work_id":"b5528fc9-7a7c-4098-bffb-590da6dece3f","year":2020},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.911372Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:a29410d5a02fbcc6e10d6c3125cc3f57ecf263e4d561fa91d3814b10ecc28726","observation_id":"fe0c8880-6726-4296-b28b-7be00ac628da","resolution":{"observed_at":"2026-08-11T00:08:56.359274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:55.915384Z","title":"3d human pose estimation with spatial and temporal transformers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.915384Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:59b06615d9373f024a42465d549dc50e3064c517ac57336bee62328f2c6894cb","observation_id":"cca832bb-46d2-4a92-a8ea-8c488ba609d7","resolution":{"observed_at":"2026-08-11T00:08:55.915384Z","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":"2026-08-11T00:08:56.331329Z","title":"Ktpformer: Kinematics and trajectory prior knowledge-enhanced transformer for 3d human pose estimation,","venue":null,"work_id":"bc358075-c7d3-48ef-a7f8-e9657d3a271b","year":2024},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.919414Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:4f408edd453e00f0c8154a4a6ef43f3bd583efd43eb55461b0c515036cd8823b","observation_id":"ae3293ab-ad40-4baf-a3ce-fc89ccd8ef2f","resolution":{"observed_at":"2026-08-11T00:08:56.336408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.317893Z","title":"Cascaded pyramid network for multi-person pose estimation,","venue":null,"work_id":"d3a3a6d9-739d-4eaf-b731-273ddd79b110","year":2018},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.923394Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:d2f5bb2d8307ee42ec2e560797fb547cec63a742d1b21c6889bef73311d83bd2","observation_id":"166dcda7-31e7-455d-a9ff-9b1a9bb278e2","resolution":{"observed_at":"2026-08-11T00:08:56.322691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.301050Z","title":"Stacked hourglass networks for human pose estimation,","venue":null,"work_id":"ae694638-1794-4929-abbe-cb5f9e007fdf","year":2016},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.927723Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:5be090a4133aab45102abe4be3ff8854a8362a3910eab0b2a69231c466703a66","observation_id":"e3173fa4-e99f-4297-94e1-e3d7f0e95682","resolution":{"observed_at":"2026-08-11T00:08:56.307479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.287665Z","title":"Deep high-resolution repre- sentation learning for human pose estimation,","venue":null,"work_id":"4e18f502-716b-4a5a-aa8e-490c44994450","year":2019},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.931718Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:6f0155b89989fef4d34b06b02a7eb6725846473435c4a3376d6ee29d17036a9e","observation_id":"58a2d8e8-23af-4e98-9cf0-1989cbef41e3","resolution":{"observed_at":"2026-08-11T00:08:56.291532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.275459Z","title":"Mhformer: Multi- hypothesis transformer for 3d human pose estimation,","venue":null,"work_id":"88481785-9f3e-4db4-a768-e4e7766c75d5","year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.935848Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:e937b9099da091efb7e6067cd1882a16c9edf73a876dace29b6d54c3dc539615","observation_id":"ee6aec84-1fc1-40b4-8c13-8cf5a0119692","resolution":{"observed_at":"2026-08-11T00:08:56.279581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11579","last_updated":"2023-08-23T03:07:49Z","snapshot_observed_at":"2026-07-06T15:06:00.970408Z","submitted_at":"2023-03-21T04:00:47Z","title":"Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.11579","snapshot_observed_at":"2026-08-11T00:08:55.940521Z","title":"Diffusion-based 3d human pose estimation with multi- hypothesis aggregation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.940521Z"},"links":{"cited_paper":"/paper/2303.11579","citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:05e18ebc394f0352b363f9a970450d17a6053caab7ef443fe09f69b9470602d3","observation_id":"843a4a4d-499f-4d90-81d4-419c41e51d3e","resolution":{"observed_at":"2026-08-11T00:08:55.940521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.05298","last_updated":"2023-08-10T02:41:18Z","snapshot_observed_at":"2026-07-06T16:04:38.850091Z","submitted_at":"2023-08-10T02:41:18Z","title":"Double-chain Constraints for 3D Human Pose Estimation in Images and Videos","version":1},"cited_work":{"arxiv_id":"2308.05298","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.05298","snapshot_observed_at":"2026-08-11T00:08:56.101916Z","title":"Double-chain Constraints for 3D Human Pose Estimation in Images and Videos","venue":"cs.CV","work_id":"e2e3f981-8e55-4115-b05d-6c5171e660b8","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.944924Z"},"links":{"cited_paper":"/paper/2308.05298","citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:2d3133b81c7d35bbcc1d170a1751c58ea1e29e6a2ea185a3beabc91a226b15e2","observation_id":"ba87d3d6-f4b4-4e81-b857-0bb13e56c54d","resolution":{"observed_at":"2026-08-11T00:08:56.106628Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","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":"2026-08-11T00:08:55.949401Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.949401Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:16616e6513714f611bb8dc75d55eb6cf46dfe94ca7112a6bd0d1195ce86bf95c","observation_id":"8a1ca00d-20da-4b95-b1eb-88f7a0618b94","resolution":{"observed_at":"2026-08-11T00:08:55.949401Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:08:55.953854Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.953854Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:65c3034cd42731bba32ca3f68d96ca6f7f410708c1d5debbce97f67db37f4762","observation_id":"74148e6d-b68c-4cc5-b457-833199452a04","resolution":{"observed_at":"2026-08-11T00:08:55.953854Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:08:55.958497Z","title":"Understanding the effective receptive field in deep convolutional neural networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.958497Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:b7a903d9ac05e87cee6cc2b2ad4b85af832305849b5e198529c725bdc0e8ceab","observation_id":"1f40fd63-ae96-4283-a55b-c5c03eead33a","resolution":{"observed_at":"2026-08-11T00:08:55.958497Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:08:55.962537Z","title":"Vision transformers for dense prediction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.962537Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:5e18baf7f6f3b70ac02aaee00b3fa8dd430cd3a498f3e4ed35bde73cc6186415","observation_id":"d8a8ba73-03bb-4acb-805d-a1e4fa533966","resolution":{"observed_at":"2026-08-11T00:08:55.962537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.13497","last_updated":"2021-05-10T18:39:48Z","snapshot_observed_at":"2026-07-06T11:04:13.918503Z","submitted_at":"2021-04-27T22:29:55Z","title":"ConTNet: Why not use convolution and transformer at the same time?","version":3},"cited_work":{"arxiv_id":"2104.13497","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.13497","snapshot_observed_at":"2026-08-11T00:08:56.069775Z","title":"ConTNet: Why not use convolution and transformer at the same time?","venue":"cs.CV","work_id":"0f8f4d3d-9e9a-4019-a106-b33e28d90987","year":2021},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.966830Z"},"links":{"cited_paper":"/paper/2104.13497","citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:a5c98bf2bdb728721de613d0d6b22b0a35cd18621f898e9fcf5a14629a990870","observation_id":"d53f235f-9d05-43f2-87ab-51994e2302bd","resolution":{"observed_at":"2026-08-11T00:08:56.076958Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:55.971910Z","title":"Scaling up your kernels to 31x31: Revisiting large kernel design in cnns,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.971910Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:7db05b47894cf8cf727672aab4cc42408d5e37eb51ed2de8fe8c9154653e45f0","observation_id":"63f60ae8-b501-4495-83a8-04d19123fdfa","resolution":{"observed_at":"2026-08-11T00:08:55.971910Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:08:55.976764Z","title":"Visual attention network,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.976764Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:1b4522c495cdb26e99176fa2f008e696eadf5eaefc4328eacb76f6611dfd829a","observation_id":"803afa48-d22e-4d7a-b05f-e8940e5c9360","resolution":{"observed_at":"2026-08-11T00:08:55.976764Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:08:55.980628Z","title":"A convnet for the 2020s,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.980628Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:98675fe03bedc4be87160153b042e1c8b7d98206fc7832cc6476ac34e901c92e","observation_id":"0ee2fdd4-8e3f-40ff-80b3-61dcc4b4ffd7","resolution":{"observed_at":"2026-08-11T00:08:55.980628Z","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":"2026-08-11T00:08:56.218362Z","title":"Learning dynamic local context representations for infrared small target detec- tion,","venue":null,"work_id":"bdd96072-dddf-4cda-8747-750d4c96ff21","year":2024},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.984936Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:236869083da88055ec1c2d15eccded0405008577166b947fed60fe4132b8fc65","observation_id":"2485ce2a-08a5-44cd-9f9d-e68007c0edf1","resolution":{"observed_at":"2026-08-11T00:08:56.222309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:55.989051Z","title":"Metaformer is actually what you need for vision,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.989051Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:8759efaa3ef4eefc8ff62ca35f1dda05e76242d7fa091ed73ac40b179c5952f3","observation_id":"c6e83031-dc4b-4a6d-b1fd-28eea4e19f6c","resolution":{"observed_at":"2026-08-11T00:08:55.989051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.08415","last_updated":"2023-06-06T01:53:32Z","snapshot_observed_at":"2026-07-06T05:01:27.910364Z","submitted_at":"2016-06-27T19:20:40Z","title":"Gaussian Error Linear Units (GELUs)","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.08415","snapshot_observed_at":"2026-08-11T00:08:55.993120Z","title":"Gaussian error linear units (gelus),","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.993120Z"},"links":{"cited_paper":"/paper/1606.08415","citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:f98bfda7b4cfe3829780e45b315084a60a487d4468fdebd200193d3073a9da9a","observation_id":"32755982-fea7-4ec1-be63-6b7df6698618","resolution":{"observed_at":"2026-08-11T00:08:55.993120Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:08:55.997881Z","title":"Layer normalization,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:55.997881Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:5402136cebd7271ffff703a445892589fb947d29114479b9f1c1774824ce4064","observation_id":"ffdfa261-fb4d-4a97-972f-a523bba13c7c","resolution":{"observed_at":"2026-08-11T00:08:55.997881Z","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":"2026-08-11T00:08:56.192429Z","title":"Monocular 3d human pose estimation in the wild using improved cnn supervision,","venue":null,"work_id":"9e0cdd90-9bd2-44bc-8a2a-a0599c5aeda9","year":2017},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:56.001862Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:68513dbff8b8ac3dd72291f1a2f9ee031e5691723d36f755aeda4bf5a64bdd8a","observation_id":"38598583-36df-4805-b5b0-d4eff54da1a9","resolution":{"observed_at":"2026-08-11T00:08:56.196857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.180538Z","title":"P-stmo: Pre-trained spatial temporal many-to-one model for 3d human pose estimation,","venue":null,"work_id":"71c4afc1-bf40-4f66-8b76-856ecf0938c6","year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:56.006164Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:ae2f7180a4a7cb6394aa4931a82d2ab5137d5cde803e774fa37ac4ad182465f3","observation_id":"ca298aa2-92f8-4cd3-94b7-c1f3d8c0eb06","resolution":{"observed_at":"2026-08-11T00:08:56.184984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.010046Z","title":"Uncertainty-aware 3d human pose estimation from monocular video,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:56.010046Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:dbb5c3592edcc12c3eb312b51b0139355189147f2ef3c782812fbb2feb04c3a1","observation_id":"41585226-9f5c-4f20-a7d4-9aeaef1363b1","resolution":{"observed_at":"2026-08-11T00:08:56.010046Z","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":"2026-08-11T00:08:56.162283Z","title":"Gla- gcn: Global-local adaptive graph convolutional network for 3d human pose estimation from monocular video,","venue":null,"work_id":"13ef878f-9bea-45a3-a56f-0d96d29c6f70","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:56.014324Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:02727b11b9ed644137b003ca4c64cd5f283a93a3c8b3a030467ef05eb2a19e98","observation_id":"dd90a7f7-9a1d-494b-ae5b-8581fcd1f505","resolution":{"observed_at":"2026-08-11T00:08:56.166631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.149812Z","title":"PoseFormerV2: Exploring frequency domain for efficient and robust 3d human pose estimation,","venue":null,"work_id":"029947e5-c7c5-4501-86e5-a82cee4ba938","year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:56.018493Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:4ba32402dd93e8cc250aecefe168b1f9e1c11176339c2bf9f7d415a157c47e82","observation_id":"2e39ec12-5993-4243-aff8-c6f7a3e14005","resolution":{"observed_at":"2026-08-11T00:08:56.154030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T00:08:56.023194Z","title":"Smpl: A skinned multi-person linear model,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T00:08:56.023194Z"},"links":{"citing_paper":"/paper/2412.19676"},"observation_digest":"sha256:ece2432d8520e185b1fd4678d023b44f748f54e86807fc66d1f674d481d02353","observation_id":"e91f695b-4c44-47df-b260-3068058ba566","resolution":{"observed_at":"2026-08-11T00:08:56.023194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.19676","last_updated":"2024-12-27T14:54:12Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T23:56:54.121811Z","submitted_at":"2024-12-27T14:54:12Z","title":"Optimizing Local-Global Dependencies for Accurate 3D Human Pose Estimation"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":3,"verified_fuzzy":30},"total_outbound_references":52},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2412.19676."}