{"as_of":"2026-08-18T01:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:05a35ce583492532e1184cf5e17baeeaf3a5c64444949f8c16ecddddce00f724","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T05:11:22.100084Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/1909.01818/citation-record","integrity":"/paper/1909.01818/integrity","json":"/paper/1909.01818/citation-record.json","paper":"/paper/1909.01818"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1806.11230","last_updated":"2022-02-13T04:11:52Z","snapshot_observed_at":"2026-08-16T09:56:40.150325Z","submitted_at":"2018-06-28T23:43:42Z","title":"Human Action Recognition and Prediction: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.11230","snapshot_observed_at":"2026-08-14T05:11:21.807743Z","title":"Human action recognition and prediction: A survey,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.807743Z"},"links":{"cited_paper":"/paper/1806.11230","citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:02c5fa1081eca140e59925857bb13a4efef714e4976d9ef3d6febad5725a38ce","observation_id":"5d7b5bd7-d5f7-49b1-89f6-0a00d5962bd8","resolution":{"observed_at":"2026-08-14T05:11:21.807743Z","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":"2026-08-14T05:11:23.035699Z","title":"Enhanced computer vision with microsoft kinect sensor: A review,","venue":null,"work_id":"29bc7dcf-0d15-418a-8dce-dcd091219edf","year":2013},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.813022Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:9972d6f9e36259fd34387313779da7af222f39bdeecfc67dc251d8864744c8b8","observation_id":"06577023-8428-4d51-b0a1-fb78fd8443fc","resolution":{"observed_at":"2026-08-14T05:11:23.040366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:21.817419Z","title":"Lifting from the deep: Convolu- tional 3d pose estimation from a single image,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.817419Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:797c7526a8c845c0ea51df7439c8c10e9842842a530feb8ac2cf9ec7dfd4532b","observation_id":"ef2b73a0-64c6-4df7-9b94-368391161c66","resolution":{"observed_at":"2026-08-14T05:11:21.817419Z","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":"2026-08-14T05:11:23.012562Z","title":"A deep learning framework for character motion synthesis and editing,","venue":null,"work_id":"caee5dc2-a79e-4def-b2d0-dd21caed096a","year":2016},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.821958Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:711d76bea454f628072c18c33c864b57afbbdf5e25eb41c9bfef2c090665e9d4","observation_id":"43101f2a-ee33-41b8-9533-b6473a5eb167","resolution":{"observed_at":"2026-08-14T05:11:23.017169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.997075Z","title":"On human motion prediction using recurrent neural networks,","venue":null,"work_id":"08002417-e076-4628-8cb1-367839b141cc","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.826633Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:110b073d0c524c43bfe46337e3a06ff727237b8fb1cf0fc9a5d21bc2c7854587","observation_id":"736be93f-591f-4f99-8bfb-3e06fb621113","resolution":{"observed_at":"2026-08-14T05:11:23.002167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.981355Z","title":"Action- agnostic human pose forecasting,","venue":null,"work_id":"ffa6385a-593d-4f8a-87a7-12ddd697a620","year":2019},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.832152Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:722ea7b99e3803d4da02f178ccba8cd7a94c733993e8fef89c9dff5c38d2df04","observation_id":"afb91019-eb81-41ee-82c3-14f7b2873cd3","resolution":{"observed_at":"2026-08-14T05:11:22.986079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.965609Z","title":"Recurrent network models for human dynamics,","venue":null,"work_id":"6bf7e7d9-d670-455f-b593-f7beae80090c","year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.837864Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:d19840149a92682173738130ec4e1f8f6ef65844e69846bfb7b0a26b07410d70","observation_id":"fdb7c507-f574-48fe-92e0-3545d9eef6e9","resolution":{"observed_at":"2026-08-14T05:11:22.970536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.950913Z","title":"Structural-rnn: Deep learning on spatio-temporal graphs,","venue":null,"work_id":"b2ffcea1-a326-455c-893b-8888d67cf3e6","year":2016},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.842222Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:f706f77c0a6817cf67407d02113d96c7a697af05424c23d78b0ab6e63329ef81","observation_id":"427a3bf0-f231-482e-8e86-bb406356d520","resolution":{"observed_at":"2026-08-14T05:11:22.955952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.936229Z","title":"Practical parameterization of rotations using the expo- nential map,","venue":null,"work_id":"bb4e3ffe-dea4-4c2e-baf7-2b3c94f2c9ba","year":1998},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.846854Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:2c9b1d4918e3b98b70b37cceea21a5dba26e1a2d8fca3f326cea00acac980b05","observation_id":"bdeba24f-98ba-481c-9bba-5d0b48d14cf3","resolution":{"observed_at":"2026-08-14T05:11:22.941066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.921759Z","title":"Modeling human motion using binary latent variables,","venue":null,"work_id":"aba7a87a-9c3b-4949-b8d1-bd56fb3b2503","year":2007},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.852174Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:895eea50d5378d63983e3aa42567da5cbe95a171f6975c3f6986acda049704b6","observation_id":"8d3cad49-3291-4b05-b468-c7eea60c9174","resolution":{"observed_at":"2026-08-14T05:11:22.926564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:21.856622Z","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":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.856622Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:69eca7ab920639c5610f7f27f95f7ed5179a8ab593bd2548a91ecba1e6c7042c","observation_id":"877191f3-5aff-4d1b-8505-ea12556b57c1","resolution":{"observed_at":"2026-08-14T05:11:21.856622Z","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":"2026-08-14T05:11:22.898417Z","title":"Predcnn: Predictive learning with cascade convolutions","venue":null,"work_id":"6e13608d-3b39-4831-9d84-cc028e90721a","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.861163Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:4bff1fb08d426492b047d78c03cadc774bc664dba2b7f161c06a2013d1ea9442","observation_id":"4d1705f8-87de-42d5-bf48-a0625da53b0d","resolution":{"observed_at":"2026-08-14T05:11:22.903004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.884416Z","title":"Flexible spatio-temporal networks for video prediction,","venue":null,"work_id":"239bc0ab-35c1-43fd-8c71-cb080304687f","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.865191Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:b3180712b2f8d7c63e8f601311be0ae434bce07fb88eaf55ed5fd8306f52fc71","observation_id":"2bde43bc-b475-410d-8e00-b1ce64a75175","resolution":{"observed_at":"2026-08-14T05:11:22.889426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.870162Z","title":"Learning to decompose and disentangle representations for video prediction,","venue":null,"work_id":"68fc1cfc-9fc5-4348-829b-730ae0b128c8","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.869267Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:1c9612d2947cb81dd38ab17ac87b7d8ba74660ec0bdb1584f58dd9377ea33b1c","observation_id":"871056b0-d5c1-4554-990f-ec6b6a688929","resolution":{"observed_at":"2026-08-14T05:11:22.874878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.856507Z","title":"Stochastic variational video prediction,","venue":null,"work_id":"17a25539-0f74-4670-90d7-c363c7071a26","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.874200Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:f93f903f99d62b3b8a017dfd5a86d8d527f039aa29b29e5240064cbca4710000","observation_id":"c2343c10-3e1d-49ec-bb4d-c148acb69e94","resolution":{"observed_at":"2026-08-14T05:11:22.861109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.841448Z","title":"Prediction and tracking of moving objects in image sequences,","venue":null,"work_id":"28faa103-ca9e-47c7-9542-c8d998d2ddee","year":2000},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.878556Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:2eb04bb169fc090c3fa354036342eb924d9091f753ce68c6c0fcd87579ed2a8d","observation_id":"d818c807-a13b-4881-b50a-6ba246b939c4","resolution":{"observed_at":"2026-08-14T05:11:22.846784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.827248Z","title":"Block-based spatial prediction and transforms based on 2d markov processes for image and video compression,","venue":null,"work_id":"d502c14f-84cf-4ba8-bd5b-2257e0dd1c10","year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.882576Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:4b818220401188a7289f467470f2035acaa7239de9ee8ba8784fac1aebaffb1b","observation_id":"a8b31be5-3a1e-433e-9c82-c885e7386f8e","resolution":{"observed_at":"2026-08-14T05:11:22.832028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.812511Z","title":"A new representation of skeleton sequences for 3d action recognition,","venue":null,"work_id":"9fdabef5-e383-4afd-85c3-fb0d889aac76","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.887103Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:7fdc2ac797f4e3090fd666253d26b591fc80550a7a30ee1d9cb6e6fe23fa7768","observation_id":"8b553c8a-0a39-4f53-80b6-87697d01e123","resolution":{"observed_at":"2026-08-14T05:11:22.817585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.795692Z","title":"Co-occurrence feature learning from skeleton data for action recognition and detection with hierarchical aggregation,","venue":null,"work_id":"3c59a027-5a78-4b2d-b85d-5ef50c1d7add","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.892179Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:5ea4fed37993b73f39cbbf6f44d47ee4d26389186cc38de4cc3b5022aa306380","observation_id":"2da579e3-b58b-4173-a7d6-a2da2fbd7bf6","resolution":{"observed_at":"2026-08-14T05:11:22.801450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.780792Z","title":"Skeleton based action recognition with convolutional neural network,","venue":null,"work_id":"894644a7-d8f5-405c-b316-def7c83f3ced","year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.896406Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:7a073db67070626be1fddcee3f73811b5a152a5688ff98dd43ccca667aa25e51","observation_id":"4fe061a2-4bfc-4107-a1e8-24a3d31de505","resolution":{"observed_at":"2026-08-14T05:11:22.785729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.765304Z","title":"Skeleton-based action recognition with convolutional neural networks,","venue":null,"work_id":"12d3ca2a-d0a3-4e28-825f-5b106bb9e61b","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.900659Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:1ee2fec271623484f8df8b068046526f2dd0601ae4c116eb0010e594e7fa23f8","observation_id":"0216668c-2485-4b99-9df6-b3b9583fbd46","resolution":{"observed_at":"2026-08-14T05:11:22.770438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.749566Z","title":"Joint distance maps based action recognition with convolutional neural networks,","venue":null,"work_id":"7eb577f8-c182-408e-a958-74cb0fb141a7","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.904801Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:16f5484dbb198ade9753678290933466d1db0166a50bd67210d693b57e98933c","observation_id":"640e4af2-3283-41b7-b9fc-846d0b4d0d06","resolution":{"observed_at":"2026-08-14T05:11:22.754382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.735659Z","title":"Representation learning of temporal dynamics for skeleton-based action recognition,","venue":null,"work_id":"964e3de6-4784-439c-a2c9-d5743803b320","year":2016},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.908849Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:5ee117320cf2876432c713b9dc79673582da4a621bbc1f4d7c6484d0b04a2542","observation_id":"583627ce-8ba6-49bb-93d7-67ba44f40371","resolution":{"observed_at":"2026-08-14T05:11:22.740252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.721083Z","title":"Learning clip representations for skeleton-based 3d action recognition,","venue":null,"work_id":"46a8a7a7-002c-4f44-8ba6-43f4b2b75ace","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.913048Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:770086ddfe6ed8bda567af64078d6aaa6169eadd2aea0b5ba12d7740465f09b7","observation_id":"4e15b9c8-93bc-48cc-9b26-c133b0ca79f4","resolution":{"observed_at":"2026-08-14T05:11:22.726130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.705225Z","title":"View-invariant human action recognition based on a 3d bio-constrained skeleton model,","venue":null,"work_id":"88ce240c-567c-49b0-bf24-24bd338d9e8d","year":2019},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.917521Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:d1e3d5a6043c3a62f0ad593b967b2d765ebadaba405f4c1ff14d49255c1360e3","observation_id":"3e41275e-5ac9-4ce9-8597-f6c04620e472","resolution":{"observed_at":"2026-08-14T05:11:22.710863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.690739Z","title":"Timeception for complex action recognition,","venue":null,"work_id":"7069a137-a1c4-4759-b870-0d6bd017e8ed","year":2019},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.922264Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:69f3e60570527ba06edb36fec6ae62afb29187c8263f514cf53a4d965b9eff73","observation_id":"6cba49fe-9643-4844-b6fb-0ea870d5f064","resolution":{"observed_at":"2026-08-14T05:11:22.695193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:21.926565Z","title":"Two-stream convolutional networks for action recognition in videos,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.926565Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:c965f50b5628d8ebc614c51f43390f65a6c04ebf4917885249f6b3cb74605b0e","observation_id":"427356fe-9c45-442d-8320-b04e4b62c912","resolution":{"observed_at":"2026-08-14T05:11:21.926565Z","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":"2026-08-14T05:11:22.668419Z","title":"Rethinking spatiotem- poral feature learning: Speed-accuracy trade-offs in video classification,","venue":null,"work_id":"e9887177-dc2e-4230-8f8e-0775c03db60c","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.931329Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:fca68596ab12aa81e5bdec00e67545fa5f1287171f968da0d422cce52f0cf324","observation_id":"dd416a79-e7f7-4ccd-91b7-d201aef2cd55","resolution":{"observed_at":"2026-08-14T05:11:22.672860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.654955Z","title":"Appearance-and-relation net- works for video classification,","venue":null,"work_id":"208680ca-bd32-4412-85cb-d018a011ecec","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.936178Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:cb2a97d170bea3950e1d74c62b5a189b325d0d29576aaef0c01643505a3fe89f","observation_id":"80d7ec54-ba03-41d4-8e45-05233a8febdf","resolution":{"observed_at":"2026-08-14T05:11:22.659447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.641201Z","title":"A closer look at spatiotemporal convolutions for action recognition,","venue":null,"work_id":"71288bc6-da07-4ad3-83e1-8ae25f32c3f2","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.940441Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:9dafb027bd4e29d021c87a1d97b6c72eebba9fba42ec7b6097ef152729365c4d","observation_id":"642117e9-2dd9-40ba-9636-59f24de592ab","resolution":{"observed_at":"2026-08-14T05:11:22.645667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.627571Z","title":"Hierarchical recurrent neural network for skeleton based action recognition,","venue":null,"work_id":"c6124b7b-96f4-4f7b-8d85-a4813e657517","year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.945524Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:54b7432f68d8fd127c4080dff3c90d25780a276c585f4439fa0c6a36ca6c6807","observation_id":"b3c7d6cc-4c3c-4f33-b1a4-972d615963fa","resolution":{"observed_at":"2026-08-14T05:11:22.631888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.613709Z","title":"Bio- inspired dynamic 3d discriminative skeletal features for human action recognition,","venue":null,"work_id":"74f0c025-c9cb-476c-92fe-b978e3a907b1","year":2013},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.949682Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:72f3d9786ad2036ae9b8eda4cac6f67574ddc2970af247d8eb02a53848d119b8","observation_id":"7a80965f-6085-4437-8bbb-f4293ac5ba7f","resolution":{"observed_at":"2026-08-14T05:11:22.618551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.600248Z","title":"Few-shot human motion prediction via meta-learning,","venue":null,"work_id":"d7f8bada-dc05-4462-b3c0-2ee95c412371","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.954095Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:3960b2971bde13a27197766f84dddde3d3f5b6e9333473ffaa6f5c1d5dfac494","observation_id":"f9a401ce-120f-49a6-8f48-555e8fb22bda","resolution":{"observed_at":"2026-08-14T05:11:22.604648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.586323Z","title":"Predrnn: Recurrent neural networks for predictive learning using spatiotemporal lstms,","venue":null,"work_id":"0db48b40-2170-4d35-9ebf-3e33a6856975","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.958476Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:23689e5e36191b4d6c172eefeacd2ee6349656d6f1bd103ae6447d4f39daa603","observation_id":"e7eccfe2-74d7-4c8f-b0fc-4ad418fa2bd2","resolution":{"observed_at":"2026-08-14T05:11:22.590906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.572172Z","title":"G3d: A gaming action dataset and real time action recognition evaluation framework,","venue":null,"work_id":"d8218622-b364-4c1b-ae0f-6e656cf8402a","year":2012},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.963556Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:5bec998f1f5131c71f72f80cb58d1c2c2e08ebd4408795862771c17fafdfa724","observation_id":"9afabb2b-66fd-44a2-b30a-143ac0f9da2b","resolution":{"observed_at":"2026-08-14T05:11:22.576500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.557776Z","title":"Ntu rgb+ d: A large scale dataset for 3d human activity analysis,","venue":null,"work_id":"fe8d4a6b-08f1-41e2-a9a8-6afe26dc546a","year":2016},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.968169Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:54829880e18aade4758022f390ce56df972304cb8e34e633ff21d43aa0a146e8","observation_id":"7d39c6f2-c6c4-434a-9722-f560a19f8f65","resolution":{"observed_at":"2026-08-14T05:11:22.563015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.544007Z","title":"Deep predictive coding networks for video prediction and unsupervised learning,","venue":null,"work_id":"fd3cecb6-52a7-40db-9c13-2a053f6d1e9c","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.972364Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:5a3b2574851a09f08b1c4235b11431913584cffb8e16495233ad8c16279f12ef","observation_id":"ad662533-be4e-4afa-833a-7b7f896206cf","resolution":{"observed_at":"2026-08-14T05:11:22.548512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.530069Z","title":"One-step time-dependent future video frame prediction with a convo- lutional encoder-decoder neural network,","venue":null,"work_id":"a3b26821-e1a1-4698-ba51-f939a0059e1b","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.977440Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:f88100df9912076754fae6ef4ac5c085b05321fc9d653fd65f9062a260dab046","observation_id":"3a2d7611-83f5-4252-bb5b-9617710eb5ac","resolution":{"observed_at":"2026-08-14T05:11:22.534489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.00271","last_updated":"2019-03-01T12:50:15Z","snapshot_observed_at":"2026-08-14T17:09:03.155990Z","submitted_at":"2019-03-01T12:50:15Z","title":"Frequency Domain Transformer Networks for Video Prediction","version":1},"cited_work":{"arxiv_id":"1903.00271","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.00271","snapshot_observed_at":"2026-08-14T05:11:22.203458Z","title":"Frequency Domain Transformer Networks for Video Prediction","venue":"cs.CV","work_id":"b89f7bbb-18e4-4225-904b-185d3ff2df95","year":2019},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.981880Z"},"links":{"cited_paper":"/paper/1903.00271","citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:99c4bcd9e07fd7aa3eed99cb6780ef315faf37d53caa8baa781f927607161b53","observation_id":"c4504c59-a40a-4226-908f-bc2355f5bcfa","resolution":{"observed_at":"2026-08-14T05:11:22.208174Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.516704Z","title":"Patch to the future: Unsupervised visual prediction,","venue":null,"work_id":"c5a7b681-e846-4cef-b001-82a7711753ca","year":2014},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.987555Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:717a3011e08aa622efe985a64ed1d261ec70cc75a2618c363e7ae26b081a1853","observation_id":"5a5571a2-5a0a-4f6c-a7e8-18bbba9758d8","resolution":{"observed_at":"2026-08-14T05:11:22.521109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.05440","last_updated":"2016-02-26T22:10:30Z","snapshot_observed_at":"2026-08-14T22:22:34.655459Z","submitted_at":"2015-11-17T15:36:32Z","title":"Deep multi-scale video prediction beyond mean square error","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.05440","snapshot_observed_at":"2026-08-14T05:11:21.992985Z","title":"Deep multi-scale video prediction beyond mean square error,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.992985Z"},"links":{"cited_paper":"/paper/1511.05440","citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:f3a6ce2ea5ea9297b2f0a7740850c27b7177b629a2118f1ef1b40f8d57ae39a5","observation_id":"c7cde1a7-865f-4033-9f58-6f450ed39df5","resolution":{"observed_at":"2026-08-14T05:11:21.992985Z","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":"2026-08-14T05:11:22.503144Z","title":"Action-conditional video prediction using deep networks in atari games,","venue":null,"work_id":"cdb4bcc9-1fe7-46af-aa31-a86fc1a73357","year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:21.997854Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:6a05d04c38edfbaba0a96fbfa5735671ba82e925f0ec854f94fc293d5b9a45bd","observation_id":"f97bf0f0-2a25-4150-a479-36600e687c22","resolution":{"observed_at":"2026-08-14T05:11:22.507952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.489785Z","title":"Deep spatio-temporal residual networks for citywide crowd flows prediction,","venue":null,"work_id":"b90591ab-7489-4190-a586-3b67d60367ea","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.002320Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:dcbf2f095705465cba17c5ef98e9ea0cbffe621b9fc7fb7d3a9389144895dec2","observation_id":"5ab71be3-691e-43e9-9367-446c96fab483","resolution":{"observed_at":"2026-08-14T05:11:22.494730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.476833Z","title":"Dnn-based prediction model for spatio-temporal data,","venue":null,"work_id":"4bff284b-0860-41d5-9ecb-2886495e782c","year":2016},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.006980Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:0b358282b6c94a039f68b5dc3828eaed787873b174c0156f61653ec3060faa8d","observation_id":"24e3dfa8-25c5-46f7-86df-e4cfe1757702","resolution":{"observed_at":"2026-08-14T05:11:22.481309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.463454Z","title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting,","venue":null,"work_id":"f77c55b0-92f1-466c-ae11-0b94d9e0f6c1","year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.011384Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:6448171dc5b6a5ad220fc1bf26ae3689a8cf6ec1e583a47e623d22b42039516f","observation_id":"b8aa9014-58d9-40c0-8a68-31d6ebf0e4e8","resolution":{"observed_at":"2026-08-14T05:11:22.467760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.449865Z","title":"Unsupervised learning for physical interaction through video prediction,","venue":null,"work_id":"7849cfc3-1e43-443f-8ad3-d3908e91e647","year":2016},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.016634Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:0e3feae547b6cfd65ef273dad2616f162703cb8a866a08dd832a7e7b767d04fd","observation_id":"4e7ac54d-eca4-4a26-aca1-ce07495715cb","resolution":{"observed_at":"2026-08-14T05:11:22.454434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.436441Z","title":"Predrnn++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning,","venue":null,"work_id":"bde61f41-ff6e-4160-ae24-b4ab605bb363","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.020976Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:e890aa57c9706830b457f512da1d5e9b735bd022fab6c414815e6c60df1a3962","observation_id":"e5866f08-5a14-46de-89be-fa1b3cba8d8a","resolution":{"observed_at":"2026-08-14T05:11:22.441082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.421302Z","title":"Dual motion gan for future-flow embedded video prediction,","venue":null,"work_id":"47380ecf-8ea7-4a4f-866f-7029800f20d8","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.025382Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:50c0108c4b337f5e63aca247a381c6131eeb903c2c44dbfdfcb03324709501df","observation_id":"bd3ceaff-ede7-4aad-9a8a-62fd3a653697","resolution":{"observed_at":"2026-08-14T05:11:22.426931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.01523","last_updated":"2018-04-04T17:55:40Z","snapshot_observed_at":"2026-08-16T16:05:25.921493Z","submitted_at":"2018-04-04T17:55:40Z","title":"Stochastic Adversarial Video Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.01523","snapshot_observed_at":"2026-08-14T05:11:22.029934Z","title":"Stochastic adversarial video prediction,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.029934Z"},"links":{"cited_paper":"/paper/1804.01523","citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:b0d007b51296c1a9d9777b423c0664bca951d27c46193d38d6c85fb8177063a5","observation_id":"29b7e4ec-6f38-4fcf-9ff4-7b3ea816fdad","resolution":{"observed_at":"2026-08-14T05:11:22.029934Z","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":"2026-08-14T05:11:22.407085Z","title":"Structure preserving video prediction,","venue":null,"work_id":"7e98374a-5b5b-40f3-9ad3-32fffe2fbeb0","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.034718Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:3a545e993899aaf49e36c461a00b567e36699676ae2bd9f5634142b11a3e55e6","observation_id":"f3c072ff-a508-4659-ac51-411d5f92c154","resolution":{"observed_at":"2026-08-14T05:11:22.411772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.391086Z","title":"Deep generative video prediction,","venue":null,"work_id":"9570c7a8-054d-4faa-a36e-0d5dae95aa69","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.039436Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:7fdeb72b5750399a8314ce8852d295e6a3da5abcfc10f999547b3182d96584fe","observation_id":"0920064f-cbfc-4b6b-8301-16a5b7ecf535","resolution":{"observed_at":"2026-08-14T05:11:22.397029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.377124Z","title":"Video pixel networks,","venue":null,"work_id":"81e8e72a-3eeb-4a9b-a660-fe0f7e64618e","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.043829Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:dd933108cf5c2f60a89c70d0c55330ba67a5d8b2cb275324002dd0d8895d1df2","observation_id":"fef2aea3-a1fb-4247-b5f1-c63a93628157","resolution":{"observed_at":"2026-08-14T05:11:22.381513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.363240Z","title":"Decomposing motion and content for natural video sequence prediction,","venue":null,"work_id":"040c5a0a-3b18-4843-af98-b16c74ca4e92","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.048210Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:eb5ff829c40298e88ed7961e884151d1bae84701fe0c296b02fbd53e246c5565","observation_id":"1ca85791-c0ff-48fb-9f1f-3cbadf3b237f","resolution":{"observed_at":"2026-08-14T05:11:22.367813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.348944Z","title":"Deep video generation, prediction and completion of human action sequences,","venue":null,"work_id":"a4e1031f-14df-4948-8e3d-c4f8fe8b8836","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.052679Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:d54d66e548f06287534248c10b33fee0994fca03b12296144c0d1089e839a000","observation_id":"0bf79f52-1cb5-440b-84f1-86a4a3136583","resolution":{"observed_at":"2026-08-14T05:11:22.353560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.335159Z","title":"The pose knows: Video forecasting by generating pose futures,","venue":null,"work_id":"c3e0b9af-057a-4eaf-834c-8fbb4ac656fe","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.056963Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:2160ecbc4232ca7f9098ae8613f48e033011495402e87c27f95913b85e3d225c","observation_id":"52cdb843-7f62-4ce3-b7e4-76803258b4d3","resolution":{"observed_at":"2026-08-14T05:11:22.339783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.321247Z","title":"Human pose forecasting via deep markov models,","venue":null,"work_id":"dffab63b-3e12-4645-9698-2ecdd1a64a62","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.061513Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:3bff63157a0910055005ce4fb892f4464f50622257b1090595be12ca26a9f4e6","observation_id":"64664b7f-d32d-4bc4-a076-2bc0229c725e","resolution":{"observed_at":"2026-08-14T05:11:22.325786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.305906Z","title":"Forecasting human dynamics from static images,","venue":null,"work_id":"3a8bafb9-8e4d-461d-9447-7b0c374bc098","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.067017Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:6e712d245b9473f5d214269191f230a07871768365244de3cbd73c9fe69d74d5","observation_id":"d30a5cb5-6f18-47df-8d1c-b1064f4e6fb2","resolution":{"observed_at":"2026-08-14T05:11:22.311123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.05180","last_updated":"2016-05-17T14:26:14Z","snapshot_observed_at":"2026-08-14T21:57:01.942192Z","submitted_at":"2016-05-17T14:26:14Z","title":"Structured Prediction of 3D Human Pose with Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"1605.05180","doi":null,"metadata_source":"pith","pith_arxiv_id":"1605.05180","snapshot_observed_at":"2026-08-14T05:11:22.151314Z","title":"Structured Prediction of 3D Human Pose with Deep Neural Networks","venue":"cs.CV","work_id":"e859119c-8e1a-4efd-a6fe-5a92bc66a5f9","year":2016},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.071570Z"},"links":{"cited_paper":"/paper/1605.05180","citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:803a79b9a9b1033eec0c0bc512bd08eb10093a789e3619cc66031b9e5e7a6e1b","observation_id":"d2d7cc46-c04a-4091-8ad4-6bd6582c6d41","resolution":{"observed_at":"2026-08-14T05:11:22.158008Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.290930Z","title":"Forecasting human pose and motion with multi- body dynamic model,","venue":null,"work_id":"95a52fbf-ec16-41bf-ac02-665f6162636f","year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.076444Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:29f6a4df61d898ccd19c8572841977d0021aafd19e2c1124fb8ce3949b19de3c","observation_id":"90c80a4a-ea94-46f3-94f5-69ea16200ae4","resolution":{"observed_at":"2026-08-14T05:11:22.295922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.276397Z","title":"Real-time human motion forecasting using a rgb camera,","venue":null,"work_id":"2068a926-1cf9-4e5f-91ff-8da7f2ec45ce","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.081567Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:557b9ba4780d056818208001f53e89b7a161b0d0ccc2e33fface23d2160b5d43","observation_id":"ca9ebd1f-f01c-42d8-8af6-d6c3aab8ac0f","resolution":{"observed_at":"2026-08-14T05:11:22.281288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.262404Z","title":"Deep repre- sentation learning for human motion prediction and classification,","venue":null,"work_id":"3917f0a0-0941-4d98-b02f-600d10d82049","year":2017},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.085822Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:87f62448772fc3a35a2a2fddc0239b896321d1ae3bfe942718352701ac7d760a","observation_id":"6be38f38-60e1-4eca-afbb-1a22531d5951","resolution":{"observed_at":"2026-08-14T05:11:22.267054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-14T05:11:22.248001Z","title":"Adversarial geometry-aware human motion prediction,","venue":null,"work_id":"3c91b5b7-5854-45d7-8e69-86a3192de3b0","year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.090817Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:8f447a95f2d3426a6373c0ad16598d330f31d23feaeb09c6287f36885086faea","observation_id":"0dbed5ff-7f69-4b89-9c0f-2df0ed3b22b3","resolution":{"observed_at":"2026-08-14T05:11:22.252611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.02513","last_updated":"2018-05-07T13:23:17Z","snapshot_observed_at":"2026-08-14T19:18:04.451311Z","submitted_at":"2018-05-07T13:23:17Z","title":"Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamic","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.02513","snapshot_observed_at":"2026-08-14T05:11:22.095215Z","title":"Long-term human motion prediction by modeling motion context and enhancing motion dynamic,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.095215Z"},"links":{"cited_paper":"/paper/1805.02513","citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:4a8266bde7765cddf50cb7176dcb03e6099150fd4f9a5f2c5fe12a687b343a8d","observation_id":"2f273cdd-e0d7-4ce0-ad44-ccf06eeaaefe","resolution":{"observed_at":"2026-08-14T05:11:22.095215Z","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":"2026-08-14T05:11:22.233352Z","title":"Bio-inspired predictive orientation decom- position of skeleton trajectories for real-time human activity prediction,","venue":null,"work_id":"74e0a795-4ac0-417b-b246-d88272664618","year":2015},"citing_paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T05:11:22.100084Z"},"links":{"citing_paper":"/paper/1909.01818"},"observation_digest":"sha256:1877ac3e71bdb5e7520e93f0b57e663136003caf5a8bf281ee0a42a7451d11c1","observation_id":"978ee195-3bfc-4339-a084-5b23f5f90176","resolution":{"observed_at":"2026-08-14T05:11:22.237885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1909.01818","last_updated":"2019-09-04T14:10:49Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T05:05:02.286612Z","submitted_at":"2019-09-04T14:10:49Z","title":"PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":2,"verified_fuzzy":55},"total_outbound_references":64},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:1909.01818."}