{"as_of":"2026-08-08T13:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8938769ed7776e67b815cf314fec4446a6b1202ae46e9aedd6fcc223131b4827","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:01:07.314991Z","state":"measured"},{"denominator":75,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":75,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2507.04062/citation-record","integrity":"/paper/2507.04062/integrity","json":"/paper/2507.04062/citation-record.json","paper":"/paper/2507.04062"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:01:11.671937Z","title":"Weakly-supervised ac- tion transition learning for stochastic human motion predic- tion,","venue":null,"work_id":"cd66a06a-ca4d-46c3-a1d1-1316706fe6b6","year":2022},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.061447Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:554fd5585470ceecf4d707eae454f2dfb948f2cd55afad86737af510ebfec512","observation_id":"3923b114-3028-4679-a0a5-daced0c87034","resolution":{"observed_at":"2026-08-06T20:01:11.675375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.661928Z","title":"Anticipating human activities for reactive robotic response","venue":null,"work_id":"69f4d91e-76bf-4170-8dc0-94272c3cd01d","year":2013},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.147747Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:44b029168f80a5c5d8f986805b2858f25828c7aa88a0b55cbe06d146d344dcd8","observation_id":"5593f657-c3af-49d6-b151-6d4c75d67346","resolution":{"observed_at":"2026-08-06T20:01:11.665782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.651980Z","title":"Neural state machine for character-scene interactions,","venue":null,"work_id":"12b7dbd4-e95f-441d-87bf-6030a71b3106","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.220082Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:d8f6db75df11f0e9977f590ce754c0ec06990bfc32eb088f7011a3e3cc1ad0f1","observation_id":"482904ff-e3e1-40a5-93c5-979bf164be50","resolution":{"observed_at":"2026-08-06T20:01:11.655881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.642189Z","title":"Dlow: Diversifying latent flows for diverse human motion prediction,","venue":null,"work_id":"073507fc-dc75-446d-b0ef-99973be24b1e","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.306645Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:d4899182bc532e214c54ab7442f9e746fb3366b7452b8b0d5abd01976836daea","observation_id":"e8665048-4e54-4091-8698-c658923789c1","resolution":{"observed_at":"2026-08-06T20:01:11.645441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.632316Z","title":"Real time animation of virtual humans: a trade-off between naturalness and control,","venue":null,"work_id":"f6a1aa67-2610-45cb-82ae-1f978defeac1","year":2010},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.382935Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:4bec8443bbfcefd2c058e953a2b714386265149ba7927980cab29a1053d510b5","observation_id":"21740899-e4a4-4a51-a6f4-c9062eb9a391","resolution":{"observed_at":"2026-08-06T20:01:11.635947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.623850Z","title":"Motion planning,","venue":null,"work_id":"50d52e39-a037-43ec-b2aa-7829838e7677","year":2011},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.460883Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:4f9fcb22f34d9f13fd436563a9167168075695cc7a7b31540fba383e9a02a7ae","observation_id":"e3aa7ab1-88ac-471e-9f9f-61fe6653c3b6","resolution":{"observed_at":"2026-08-06T20:01:11.626815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.614013Z","title":"Recur- rent network models for human dynamics,","venue":null,"work_id":"a80bb18b-6241-4240-8923-e97788fbe762","year":2015},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.535005Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:5c632bf8c6c6d8d8e6507d8d0d14b0574ae3e4eb310af04debd20311d63527bb","observation_id":"aaf12d9a-69c7-451f-97ae-ba6bbcb9eec1","resolution":{"observed_at":"2026-08-06T20:01:11.617972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.605176Z","title":"A neural temporal model for human motion pre- diction,","venue":null,"work_id":"42bf2429-a281-4389-bb65-0455d8fb8fbc","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.616686Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:9dfd1463030342b06ece8f66478f3f7e664b0063abde5b4af0c91b2dc7e5569a","observation_id":"e8f8f2a4-9a89-4a3b-b7c2-bce12ee4ad9b","resolution":{"observed_at":"2026-08-06T20:01:11.608385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.595519Z","title":"Ad- versarial geometry-aware human motion prediction,","venue":null,"work_id":"95adfb96-90e7-4ef1-bd30-d6d09c7e663a","year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.712554Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:3560467ca48edbac14637807fac3e264431f99cca8dcdb899f3f472a6cb6acd4","observation_id":"4e10fd4e-4347-489b-904c-196672ad01af","resolution":{"observed_at":"2026-08-06T20:01:11.599561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.586195Z","title":"Structural-rnn: Deep learning on spatio-temporal graphs,","venue":null,"work_id":"1d4cbb40-42ac-45af-9976-c6cdbe817fb7","year":2016},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.801460Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:9a2cdc7dfcc5950d355677286a4ae792b5bff42a4b6819bbc074cda94eff37f2","observation_id":"3476912d-0f52-4a1d-ac0c-dd262946a5ef","resolution":{"observed_at":"2026-08-06T20:01:11.589282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.576427Z","title":"On human mo- tion prediction using recurrent neural networks,","venue":null,"work_id":"d9c73863-bce5-43d9-99b8-5300c8bdffbe","year":2017},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.865065Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:81a4a5e6a5e318c715dcb492b207d7e203d53e2931dcbc010ec7b2baca43b6f8","observation_id":"fc0c0372-bb96-49db-b5bf-d9418cd15a0d","resolution":{"observed_at":"2026-08-06T20:01:11.580261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.06485","last_updated":"2018-07-31T20:45:13Z","snapshot_observed_at":"2026-07-06T06:39:36.104463Z","submitted_at":"2018-05-16T18:38:37Z","title":"QuaterNet: A Quaternion-based Recurrent Model for Human Motion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.06485","snapshot_observed_at":"2026-08-06T20:01:01.936815Z","title":"Quaternet: A quaternion-based recurrent model for human motion,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:01.936815Z"},"links":{"cited_paper":"/paper/1805.06485","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:0a8bb0420efa376c5db4de4e9f83a065f8ca35a0f9b1b819b0a4b2d7ff843271","observation_id":"b4a1d511-af42-4126-829d-f6fc63848e81","resolution":{"observed_at":"2026-08-06T20:01:01.936815Z","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":"2026-08-06T20:01:11.567505Z","title":"Imitation learning for human pose prediction,","venue":null,"work_id":"72ac6df7-530e-42b8-80ff-dc2444643faa","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.022540Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:51cef3be35aab3f235a9ee1dfb66064b64bfb88fc91b29c598d6e50c9c063093","observation_id":"a2720acd-fc2c-490f-87b6-f35b994631c0","resolution":{"observed_at":"2026-08-06T20:01:11.570744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.558287Z","title":"Structured pre- diction helps 3d human motion modelling,","venue":null,"work_id":"d3edde7d-891d-4108-ba55-35aeab4c584b","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.148362Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:f6c7002ad0cd514f2d934a36813407cd736dfd3b77627bf20c854f699a71d2de","observation_id":"923a9180-4874-40eb-9c41-eb7f98fb8992","resolution":{"observed_at":"2026-08-06T20:01:11.561909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.549368Z","title":"Deep representation learning for human motion prediction and classification,","venue":null,"work_id":"3d10d4d0-06a1-455f-87b8-96130e96b982","year":2017},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.249009Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:284040cb9e4469eb49254b62cd206380f2a7906eca9ffe7d39528c4b0304f77e","observation_id":"28de6d3d-179b-4b70-a369-86f760f9d2f0","resolution":{"observed_at":"2026-08-06T20:01:11.553113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.538967Z","title":"Convolutional sequence to sequence model for human dynamics,","venue":null,"work_id":"6e80171b-d1d6-4404-8a46-c4c1d6cfdc75","year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.359303Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:2de0bea5e9f373107def74163cd9daf3bcc29ba58a2967f88c09569530702d1f","observation_id":"0c10c3af-726c-4d0f-acb5-33e96c2c17a3","resolution":{"observed_at":"2026-08-06T20:01:11.543202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.529909Z","title":"History repeats itself: Human motion prediction via motion attention,","venue":null,"work_id":"5e089076-c9a4-454a-a871-18bb125cbe7d","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.426366Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:8044aad5d9064987c6136b90e9be80c61bc23563004d6b8f827d00dbe7cca9ad","observation_id":"daf9c753-c822-437e-a15e-b4b40f74627a","resolution":{"observed_at":"2026-08-06T20:01:11.533290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.519886Z","title":"Learning tra- jectory dependencies for human motion prediction,","venue":null,"work_id":"316633af-f6b0-40fe-a4aa-07bd88c2f9c6","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.502720Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:10b0d04ca490bec0119883fc5dda685073d2dd8c76ad76c06c4cd53846158fe3","observation_id":"d6692427-0846-4979-868d-d5a60bd94acc","resolution":{"observed_at":"2026-08-06T20:01:11.523713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2016.26402","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:01:07.916061Z","title":"Jointly learning heterogeneous features for RGB-D activity recognition,","venue":null,"work_id":"7707d245-5e07-4ade-9d6d-ad49d8a9ac42","year":2017},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.582456Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:a37a1f538f4ff324901041bdd93960bbad6731c8c8056dd2d74e079716e3711e","observation_id":"2039d19f-86bc-4ba9-9ebe-a2eeeeedd890","resolution":{"observed_at":"2026-08-06T20:01:07.996768Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s44267-023-00020-z","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:01:07.427226Z","title":"Predicting human poses via recurrent attention network,","venue":null,"work_id":"b49a1fb2-49e7-44e9-adb3-2526099fc34f","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.675059Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:dca54665a9512e2d7c217a682b53ea6581272efe84c25681e3b99837497fbefb","observation_id":"1952b22e-f87b-4522-a278-1b51c37efc2e","resolution":{"observed_at":"2026-08-06T20:01:07.512993Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.510515Z","title":"Learning pro- gressive joint propagation for human motion prediction,","venue":null,"work_id":"3884f0c7-2579-4324-addb-eccb0cbc251d","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.752882Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:7e2bf165dec52cd1844469636101c348cc1cb4a6dee66a4e80722a820f38d1ff","observation_id":"a7e31e76-b87c-488e-ac45-b540cc2e317a","resolution":{"observed_at":"2026-08-06T20:01:11.513906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.501063Z","title":null,"venue":null,"work_id":"c5a497a7-cd1a-4d41-97f0-6a3ac64bbd96","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.840887Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:7d55eb4b917785f55b83452dd4d5230fb324adc31678300263fea6195196f071","observation_id":"7f583aa0-9368-44a4-b1e2-27dbdd2720f3","resolution":{"observed_at":"2026-08-06T20:01:11.504689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.490137Z","title":"Tem- poral continual learning with prior compensation for human motion prediction,","venue":null,"work_id":"a9ca77ac-4e4b-4385-88af-11fdee9e1042","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:02.939364Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:97f7515e81e0f33423a5323058dde455c61f86009092fd04d8cc4ed519a39347","observation_id":"641c31d1-f328-4f7d-8e1b-e53b120bd880","resolution":{"observed_at":"2026-08-06T20:01:11.494135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.480296Z","title":"Motionmixer: Mlp-based 3d human body pose forecasting,","venue":null,"work_id":"b57165b4-aad9-4e43-b64d-5bc25ee5120b","year":2022},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.048819Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:232cb9e346f4ac7527376525ee7a0e13f41dd7e1fabe8778c6a3ac263d005761","observation_id":"12d3d07c-4da6-4858-b3e0-eb218cc8f666","resolution":{"observed_at":"2026-08-06T20:01:11.483690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.02513","last_updated":"2018-05-07T13:23:17Z","snapshot_observed_at":"2026-07-06T06:37:44.623807Z","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":"2026-08-06T20:01:03.156772Z","title":"Long-term hu- man motion prediction by modeling motion context and en- hancing motion dynamic,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.156772Z"},"links":{"cited_paper":"/paper/1805.02513","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:8d405180ba728c56791d2cbce832c59e8dd6c8bd7344d2c57c9c19e5f0822e53","observation_id":"8f685034-35d1-4cf5-99cc-63c50567de81","resolution":{"observed_at":"2026-08-06T20:01:03.156772Z","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":"2026-08-06T20:01:11.471357Z","title":"Context-aware human motion prediction,","venue":null,"work_id":"6f5ca69a-8fe1-4e9a-8940-176e5fa926fc","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.216981Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:b2c7fd9026fcae6f2d69b755689638a03538d51183cefd6827984e924f205754","observation_id":"c7e15c6a-eeba-42ca-8a2d-aa53fa2613c7","resolution":{"observed_at":"2026-08-06T20:01:11.474559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.461239Z","title":"Human mo- tion prediction via spatio-temporal inpainting,","venue":null,"work_id":"faa5f349-27e1-494c-9958-a7b8707fe4ea","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.286529Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:0d8c642a80ccede61853e426a1d2addcec8d379e203023dfd9188d7299529077","observation_id":"20fe8eee-c424-4dd2-a15e-cb3616a7b2f6","resolution":{"observed_at":"2026-08-06T20:01:11.464833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.451727Z","title":"Space- time-separable graph convolutional network for pose fore- casting,","venue":null,"work_id":"36dbc692-db0c-4be9-b608-3d7937e370e2","year":2021},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.389757Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:96a81c28495ebba57a2dca986f14bda37fa37ae08f307feeed96771ecc328bf8","observation_id":"d9680ec5-38cf-4bde-8588-14b75f922aea","resolution":{"observed_at":"2026-08-06T20:01:11.455330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.442252Z","title":"Spatio- temporal gating-adjacency gcn for human motion predic- tion,","venue":null,"work_id":"234bc747-2c06-413f-863e-99024530600d","year":2022},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.501686Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:9428bc34b2b479d89961fe4020cf11d98ecb8f6902c886361764e04360190139","observation_id":"2f191da9-cd0f-4707-a7d7-de3b06558316","resolution":{"observed_at":"2026-08-06T20:01:11.445490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-06T20:01:03.583712Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.583712Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:3009c98ef17fbf737ffecb51188ec97427ff296fcb04f092ae5eec78feecd1a5","observation_id":"b0af95b5-bf52-4b33-881e-8df97235d010","resolution":{"observed_at":"2026-08-06T20:01:03.583712Z","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":"2026-08-06T20:01:03.670613Z","title":"Generative adversarial networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.670613Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:42245d835c4817a431e0b460e72ed51e0a845ab3321a3a67d436615fad90a80b","observation_id":"11da10e1-1a28-4744-a6e3-460aca003e45","resolution":{"observed_at":"2026-08-06T20:01:03.670613Z","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":"2026-08-06T20:01:11.427326Z","title":"Motron: Multimodal probabilistic human motion forecasting,","venue":null,"work_id":"83c3a8b7-745f-4c5e-95de-d8955006ca3c","year":2022},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.772933Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:3d3590998985a68bccf5678b330b6ee2b3686c40b1758afaa396a5e107fd17c3","observation_id":"773b7b5c-6b38-483d-bf8d-c69bed1bf5f9","resolution":{"observed_at":"2026-08-06T20:01:11.430743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.418205Z","title":"Posegpt: Quantization-based 3d human motion generation and forecasting,","venue":null,"work_id":"99e24fa3-4d3d-423a-8d06-a645f5d4ee84","year":2022},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.868364Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:152435d2d45cbbed44f33fd09b568a587f1c6f277ef1090a06326dcf379eef67","observation_id":"82391bc0-5771-4390-a880-755f5b83b44b","resolution":{"observed_at":"2026-08-06T20:01:11.421938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.408366Z","title":"Behavior-driven synthesis of human dynamics,","venue":null,"work_id":"397fa1b2-cde2-4478-b47b-fe7411205fc8","year":2021},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:03.937620Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:d82150d56b7ad162359c52083b2c0132f197b911daabf07d742e6b393f84f4ba","observation_id":"4f9eda22-b8b5-47e1-829d-cf18a8a3f32e","resolution":{"observed_at":"2026-08-06T20:01:11.412232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.400008Z","title":"Diverse hu- man motion prediction via gumbel-softmax sampling from an auxiliary space,","venue":null,"work_id":"e58cad88-8edb-4a86-8cbb-0befd83c2af5","year":2022},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.014808Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:74906c7ba7dcfb4e8e195f1556bfad5e81d1bcc47a024b969f03afdc05939058","observation_id":"d5eb6ae5-ad06-47e6-9fe0-b31ae666b14d","resolution":{"observed_at":"2026-08-06T20:01:11.402984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.391439Z","title":"Diverse human motion prediction guided by multi-level spatial-temporal anchors,","venue":null,"work_id":"8d300721-f983-49f9-a44a-49698fa67260","year":2022},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.083348Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:57f8922ce0c0d0afe2de8853862850cf229b44143b4c8471dbf181bda17aa3dd","observation_id":"42a86f05-36b8-4af5-b791-97ae3c660896","resolution":{"observed_at":"2026-08-06T20:01:11.394625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.383831Z","title":"A stochastic conditioning scheme for diverse hu- man motion prediction,","venue":null,"work_id":"2b54a27c-2c56-46e9-adac-f496ed918b8f","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.144829Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:31266b81c7a57eab0a7f5e5fffe8b62485329ba55775047509f97662dd718e41","observation_id":"cbc50d2e-c1cd-4a24-b13e-967963ec974e","resolution":{"observed_at":"2026-08-06T20:01:11.386639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.375538Z","title":"Social gan: Socially acceptable trajectories with generative adversarial networks,","venue":null,"work_id":"e33b7e09-e1be-4df5-b2cf-9f8bf3890c67","year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.198405Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:8d85a2e05b4471701a18408052973a3e1ad00c90799a389fc6d3a603b56fc067","observation_id":"88ac2167-39bb-422d-b545-633125ba4b07","resolution":{"observed_at":"2026-08-06T20:01:11.378882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.367001Z","title":"Desire: Distant future prediction in dy- namic scenes with interacting agents,","venue":null,"work_id":"ca149aae-9db7-480a-b904-43a1936b80af","year":2017},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.254242Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:f6261b655f4c5378914c8b1ff906904c4104a91a7bb8c43068b220367e91f8be","observation_id":"9b0974a7-323d-4ce4-ab04-e69eb92f4bea","resolution":{"observed_at":"2026-08-06T20:01:11.370261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.359360Z","title":"Humanmac: Masked motion completion for human motion prediction,","venue":null,"work_id":"992fd22b-b587-4599-9add-fe3ceae38df4","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.326887Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:fb8ed3b88ae5111cb84fa870118e3a9efeef7b838d7347d4c37e6f28778a14c5","observation_id":"82a2e479-7bf1-48eb-aeea-5e66a729261f","resolution":{"observed_at":"2026-08-06T20:01:11.362117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.351503Z","title":"Representing cyclic human motion using functional analy- sis,","venue":null,"work_id":"a4fff286-4083-498f-b020-88f113c7312a","year":2005},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.404872Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:a21edd9b07410e779d92b4eb575e7edecf74f167dc8f0a0f1e7a9e39dd3a3ecf","observation_id":"f16f796e-f3be-4076-85e6-552a7373a032","resolution":{"observed_at":"2026-08-06T20:01:11.354194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.343430Z","title":"Modeling hu- man locomotion with topologically constrained latent vari- able models,","venue":null,"work_id":"0feb7ad2-585e-4cb8-bfe5-0193bf76a52e","year":2007},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.476542Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:669da5ad97d01a587781a5d1c7fdcd201af68d5f5d682974cbff7e882a0a87f2","observation_id":"24d6ad87-4b8e-4412-9fb1-3ab247ffaba3","resolution":{"observed_at":"2026-08-06T20:01:11.346164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.335076Z","title":"Language2pose: Natural lan- guage grounded pose forecasting,","venue":null,"work_id":"abbd4641-2f50-432a-ace2-b1d3e45a52d4","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.541060Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:edfdb57e62e932d9301be373b2420ea9b95123a262886bfce60ad0b9563cb6ae","observation_id":"5f6ebf65-ef53-4bb1-9975-fe897bbaade6","resolution":{"observed_at":"2026-08-06T20:01:11.338188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.327254Z","title":"Action2motion: Conditioned generation of 3d human motions,","venue":null,"work_id":"590ac624-6182-438e-a845-e7513e7b12ea","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.623829Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:25af651c7e7514e9108f53d328e56189434569a21557f7f22206ff6dd72d11fa","observation_id":"866fe504-0a35-410b-b9d7-3a6e2a10b771","resolution":{"observed_at":"2026-08-06T20:01:11.329921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.319823Z","title":"Dancing to music,","venue":null,"work_id":"5bebd2dc-73a2-4583-b162-eadf6867fd00","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.708920Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:08c53924ba7809594d8eba076f9fbe87acaf38cd5e02e5c1c466859975392ee3","observation_id":"d7c902d1-b02b-4ef1-8232-2fa24edec33d","resolution":{"observed_at":"2026-08-06T20:01:11.322319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.08171","last_updated":"2020-08-18T22:29:40Z","snapshot_observed_at":"2026-07-06T09:48:15.927807Z","submitted_at":"2020-08-18T22:29:40Z","title":"Learning to Generate Diverse Dance Motions with Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.08171","snapshot_observed_at":"2026-08-06T20:01:04.794362Z","title":"Learning to generate diverse dance motions with transformer,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.794362Z"},"links":{"cited_paper":"/paper/2008.08171","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:515c454542513178101f2334c00f5e13053df0b56e5858ec77b7b2100598a4c0","observation_id":"818104a3-023f-4c7f-95fa-6fa37d447256","resolution":{"observed_at":"2026-08-06T20:01:04.794362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.08779","last_updated":"2021-07-31T00:44:02Z","snapshot_observed_at":"2026-08-05T04:34:31.332053Z","submitted_at":"2021-01-21T18:59:22Z","title":"AI Choreographer: Music Conditioned 3D Dance Generation with AIST++","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.08779","snapshot_observed_at":"2026-08-06T20:01:04.883413Z","title":"Learn to dance with aist++: Music conditioned 3d dance generation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.883413Z"},"links":{"cited_paper":"/paper/2101.08779","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:a6f2c021c7bca77f3202f093be25615f79d6bb008521c88bb67cf984d34f14b2","observation_id":"277e0cb4-cc1f-445e-90c2-3a2368c3b460","resolution":{"observed_at":"2026-08-06T20:01:04.883413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.10652","last_updated":"2018-05-18T16:52:24Z","snapshot_observed_at":"2026-07-06T06:35:55.592795Z","submitted_at":"2018-04-27T19:13:34Z","title":"Human Motion Modeling using DVGANs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.10652","snapshot_observed_at":"2026-08-06T20:01:04.967576Z","title":"Human motion modeling using dvgans,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:04.967576Z"},"links":{"cited_paper":"/paper/1804.10652","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:b561cf046c82d3e449a62f00b3cdb58a7825fce731f75228513d192ca55c11ed","observation_id":"397af19d-02b7-4b82-9616-40503f931ec4","resolution":{"observed_at":"2026-08-06T20:01:04.967576Z","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":"2026-08-06T20:01:11.311565Z","title":"Action-conditioned 3d human motion synthesis with transformer vae,","venue":null,"work_id":"2760356e-9bd6-4952-9715-64953276e056","year":2021},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.027737Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:4539e04e4fed9bad9f169bd9ba26cdb97ebd800789f5500bb737121afa6afe3b","observation_id":"fff248a4-e838-42c4-9ec4-d6b6c9b5e460","resolution":{"observed_at":"2026-08-06T20:01:11.314376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.303584Z","title":"Audio to body dynamics,","venue":null,"work_id":"9473ef44-8586-42ab-9e84-29102787f3c7","year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.101053Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:3c42eada080576279c8f9c3b76c19e7c091a052680267a554eb051ccbd0dc66d","observation_id":"178c4952-c726-4c2f-8400-1442642c2778","resolution":{"observed_at":"2026-08-06T20:01:11.306145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.295919Z","title":"Accurate and diverse sampling of sequences based on a “best of many","venue":null,"work_id":"8f75a958-616a-4253-800b-9e6be2f154af","year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.127935Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:36016b180954d1fedf0f65f68a575b50c976f7843bf60d95173e7515ebad8804","observation_id":"d8a6fde7-fac5-4863-b2c6-96a7da93ec08","resolution":{"observed_at":"2026-08-06T20:01:11.298526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.288101Z","title":"Mt-vae: Learning motion transformations to generate multimodal human dy- namics,","venue":null,"work_id":"80646698-95f6-46d9-8f00-5ced7a41ec98","year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.196850Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:f3c8023c8ae9615c06c6cb24516d40f7f4e18a455f8ca18432dddcfe5ec57427","observation_id":"bbc6e4f7-457f-4515-960c-29ffd5c90d96","resolution":{"observed_at":"2026-08-06T20:01:11.290883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.279911Z","title":"Executing your commands via motion diffusion in latent space,","venue":null,"work_id":"4e35d23c-2ba4-4a8e-9e40-14a9f39c01e8","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.249206Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:bf574287e18788978080ded8db6737e43c3622a858f42d554566e448c9577cd8","observation_id":"c119ed42-cb3f-4f44-9106-56565c6d4656","resolution":{"observed_at":"2026-08-06T20:01:11.282720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.271939Z","title":"Mofusion: A framework for denoising-diffusion-based mo- tion synthesis,","venue":null,"work_id":"0820ea42-e810-416b-ae9b-635463405514","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.310976Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:09006192dd4b67004ab7d0ca001f70db0a8b6e973cf93626ec4b8e7b9744eaaf","observation_id":"4818e57f-c514-4ce6-95e3-86c93a570d31","resolution":{"observed_at":"2026-08-06T20:01:11.274840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.15001","last_updated":"2022-08-31T17:58:54Z","snapshot_observed_at":"2026-08-08T11:30:10.105282Z","submitted_at":"2022-08-31T17:58:54Z","title":"MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.15001","snapshot_observed_at":"2026-08-06T20:01:05.393478Z","title":"Motiondiffuse: Text-driven human mo- tion generation with diffusion model,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.393478Z"},"links":{"cited_paper":"/paper/2208.15001","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:14dc09be3bb17a6039b779419a45b3eb542444a3c387e6b181d2d269e287b15c","observation_id":"ef379c5f-6467-4702-8531-801ef2b212ff","resolution":{"observed_at":"2026-08-06T20:01:05.393478Z","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":"2026-08-06T20:01:11.263847Z","title":"Fg- t2m: Fine-grained text-driven human motion generation via diffusion model,","venue":null,"work_id":"1c557ac7-be8c-44a5-b92c-abe85e552a1f","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.460675Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:b75c820741429a4cfdd428a3ffbd0e07a7ec3024d10ddbdca8e5ddd14fcdc3c8","observation_id":"e17f780d-b7e1-418e-a437-b30e7b9bbbfc","resolution":{"observed_at":"2026-08-06T20:01:11.266968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.254870Z","title":"Remodiffuse: Retrieval-augmented motion dif- fusion model,","venue":null,"work_id":"2fad437c-c6e7-48d6-ae18-c9a889b8f6c6","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.545207Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:7e6808d51c210f82a0b13240ad44697cf1078f032fefc721ed738d1a1df9d54b","observation_id":"cf65b7d3-b123-455f-9d3a-4708d38e63c1","resolution":{"observed_at":"2026-08-06T20:01:11.257733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:11.239218Z","title":"Listen, denoise, action! audio-driven motion synthesis with diffusion models,","venue":null,"work_id":"9106b482-063f-4878-8929-350e24a4a76c","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.602396Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:fcfae211429df80bceab45a1f378c799ac8b06336351d48a3c00dafc12a8bfb7","observation_id":"00926ba3-1a7a-4e42-a3e5-47a18e2a492f","resolution":{"observed_at":"2026-08-06T20:01:11.249397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:10.758010Z","title":"Review on synergizing the metaverse and ai-driven synthetic data: enhancing virtual realms and activity recog- nition in computer vision,","venue":null,"work_id":"7c0154f9-1bf9-4a48-8d7d-9f23a7faf6cd","year":2024},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.660989Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:87778bccb411c4df9258dd83f5eaa625a622fdbf484e75166933f579266ad774","observation_id":"36aa3527-7315-49af-b223-509e76384f0e","resolution":{"observed_at":"2026-08-06T20:01:10.998934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:10.459663Z","title":"Diffusion motion: Generate text-guided 3d human motion by diffusion model,","venue":null,"work_id":"50e60246-fcad-4e50-a203-8b9e80c18d51","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.717399Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:c2203f242194f053f5453a5694ac71689a88fd6c4ab08f0e7e775bde81de4bf6","observation_id":"a59a2b55-3221-4a7f-8727-94e6dfc233d4","resolution":{"observed_at":"2026-08-06T20:01:10.620545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13773","last_updated":"2023-12-24T06:54:46Z","snapshot_observed_at":"2026-07-06T15:31:13.189124Z","submitted_at":"2023-05-23T07:41:29Z","title":"Enhanced Fine-grained Motion Diffusion for Text-driven Human Motion Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13773","snapshot_observed_at":"2026-08-06T20:01:05.881544Z","title":"Understanding textdriven motion synthesis with keyframe collaboration via diffusion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:05.881544Z"},"links":{"cited_paper":"/paper/2305.13773","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:98017063c2822055be97bc510ddf2a8f3ed8da06da565540e4caf58c6f7a4107","observation_id":"48acf71e-0b3f-47a2-bad4-67307167f0d0","resolution":{"observed_at":"2026-08-06T20:01:05.881544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.03949","last_updated":"2023-03-28T08:26:30Z","snapshot_observed_at":"2026-07-06T14:39:57.552494Z","submitted_at":"2023-01-10T13:15:42Z","title":"Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":"2301.03949","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.03949","snapshot_observed_at":"2026-08-06T20:01:07.601827Z","title":"Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models","venue":"cs.CV","work_id":"105b575c-49df-43ec-a67e-dc965e4b94b9","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.025052Z"},"links":{"cited_paper":"/paper/2301.03949","citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:8153b6b9c7e942a9d912da637fdf8293333c029e129d98e0b36083582b142a8a","observation_id":"1e4acf1e-01b4-40a7-ac71-acb1b2fe260f","resolution":{"observed_at":"2026-08-06T20:01:07.695771Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:10.042649Z","title":"Cg-hoi: Contact-guided 3d human-object interaction generation,","venue":null,"work_id":"52aa67ba-8ebe-4e6e-9772-a99bfc65ed21","year":2024},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.133609Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:ad6f25454b782da49149abfd238042dfab89ae5c54912878b9fd53315e720bd1","observation_id":"a63a8c4f-e74d-4949-87a5-b1b978f2b888","resolution":{"observed_at":"2026-08-06T20:01:10.242853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:09.762080Z","title":"Pose guided human video generation,","venue":null,"work_id":"2f98252b-4689-4ac3-abab-16e8bf1fb1f3","year":2018},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.232661Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:88bb9fd91cdb3aea2a06ca8ef8d6f5dc1f56bb417906256f6e117b544108a146","observation_id":"b5326841-4550-4e26-a03c-66a4383d25b7","resolution":{"observed_at":"2026-08-06T20:01:09.863758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:09.666307Z","title":"Smpl: A skinned multi-person linear model,","venue":null,"work_id":"e8b67d6d-211e-45be-ace5-002455f043f1","year":2023},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.403338Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:ed9cc5de74076e0bb20253207de9acdbcdb91a5ceeb42fc5984bbfa23e087d39","observation_id":"9e617cd8-0a07-409b-9740-68ac44bc25dd","resolution":{"observed_at":"2026-08-06T20:01:09.725453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:09.526673Z","title":"Con- tactdb: Analyzing and predicting grasp contact via thermal imaging,","venue":null,"work_id":"2f012807-5b36-4d50-84e8-39d8743b23e3","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.512871Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:06e8db245c7cbd6db690d33c80a8bba77eac3f24785fd76a64575db1b0e9445f","observation_id":"3020242c-f542-44b2-8003-f1550f37f21a","resolution":{"observed_at":"2026-08-06T20:01:09.602189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:09.351295Z","title":"Grab: A dataset of whole-body human grasping of objects,","venue":null,"work_id":"d4575a11-964d-410e-9ec3-8c1fa9e12668","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.611535Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:c729c78a4ed02661760fa8fa40c8515534dcd74af908cea5c5f166b9e2f2033c","observation_id":"dd0e4e81-5fd7-49af-a234-1c533c122c01","resolution":{"observed_at":"2026-08-06T20:01:09.447734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:09.087587Z","title":"Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding,","venue":null,"work_id":"faf87c19-1acb-4789-bd9b-8b7219d01f62","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.688416Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:422471f97b889b5a6c2d911e99d80d5fe79d287fe63bd70501f0a8946412949c","observation_id":"f0c3552a-429f-4257-b4f1-124bfcc0fed5","resolution":{"observed_at":"2026-08-06T20:01:09.199347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:08.957602Z","title":"Ntu rgb+ d: A large scale dataset for 3d human activity analysis,","venue":null,"work_id":"a0c94e42-85e6-4851-9d8c-13fd66cc84e1","year":2016},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.783238Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:d5c634975b9a2be5c6301173f49180c10a759f7a3e4cd3b5cc54b75450dce15b","observation_id":"ef425480-6433-44b0-984f-d74b9996eb05","resolution":{"observed_at":"2026-08-06T20:01:09.032518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:08.844166Z","title":"Babel: Bodies, ac- tion and behavior with english labels,","venue":null,"work_id":"bd599936-1f3c-47a3-9488-2f536fea04bf","year":2021},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.877673Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:f84de36443b6c228ee9c4dd0f2bd3ce1bd357e5869512c814f34236a64b9a8d9","observation_id":"d3b3cf17-1197-4579-9bdd-d61ccdc8eb8e","resolution":{"observed_at":"2026-08-06T20:01:08.894415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:08.667322Z","title":"Vibe: Video inference for human body pose and shape estimation,","venue":null,"work_id":"a2acd8d5-7f20-4f2e-a19a-8a976f027da2","year":2020},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:06.957749Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:bbd746611fbf5f5aab2758a29fd63636901d1d3056a41411989641a81ce01eb5","observation_id":"71f05f3b-28fa-4d0d-a617-cb16bef970e0","resolution":{"observed_at":"2026-08-06T20:01:08.762260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:08.463880Z","title":"Amass: Archive of motion capture as surface shapes,","venue":null,"work_id":"ad708af4-44d2-4918-8b7c-1377ac5e4f9b","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:07.046867Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:70899a47466f4d3d721dfd82694b17760216a83a821c01c03639f721c582578c","observation_id":"e7cc5868-c09c-4cf0-bd2a-58ec4794f549","resolution":{"observed_at":"2026-08-06T20:01:08.552161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:07.123780Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:07.123780Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:ae8ee6dd6c5360ea33abf56b41028d9b2936b20376a4ae5ba29c43c63af52adb","observation_id":"de70baee-fad3-4dd1-9650-e744add659f9","resolution":{"observed_at":"2026-08-06T20:01:07.123780Z","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":"2026-08-06T20:01:08.272033Z","title":"Predict- ing 3d human dynamics from video,","venue":null,"work_id":"3237d2fd-a003-41ef-bee6-fe39c944da04","year":2019},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:07.209093Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:17cccb30884c59e23f21617b3ada4e7cad225eef7f8397359f2d77b7e2afc65f","observation_id":"75178f55-e91f-424f-948a-212213b9ba55","resolution":{"observed_at":"2026-08-06T20:01:08.363870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T20:01:08.119355Z","title":"Adam: A method for stochastic optimiza- tion,","venue":null,"work_id":"d3288589-cc27-49f6-9659-aa30e4a4798a","year":2014},"citing_paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T20:01:07.314991Z"},"links":{"citing_paper":"/paper/2507.04062"},"observation_digest":"sha256:3b16b6220ec2d3593f8f894b1b57ca47b3a2e691dcb03f026e01191b1b046491","observation_id":"1d44d731-4239-4943-b591-e0dc133eb014","resolution":{"observed_at":"2026-08-06T20:01:08.190081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.04062","last_updated":"2025-07-05T14:57:37Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T19:54:14.061868Z","submitted_at":"2025-07-05T14:57:37Z","title":"Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":11,"verified_exact":2,"verified_fuzzy":61},"total_outbound_references":75},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2507.04062."}