{"as_of":"2026-08-09T10:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9de3c3f782fa1ddf5992d190a14ed55fddf510e9a07232e49ccea38b680f8603","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:34:15.234683Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T17:05:51.245873Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.04048","last_updated":"2023-05-19T08:14:04Z","snapshot_observed_at":"2026-08-04T09:21:48.823841Z","submitted_at":"2022-12-08T03:07:00Z","title":"Executing your Commands via Motion Diffusion in Latent Space","version":3},"cited_work":{"arxiv_id":"2212.04048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.04048","snapshot_observed_at":"2026-07-01T17:05:51.245873Z","title":"Executing your Commands via Motion Diffusion in Latent Space","venue":null,"work_id":"2c49afda-fe60-4009-82ab-94a18ca206ef","year":2023},"citing_paper":{"arxiv_id":"2412.13111","last_updated":"2026-05-19T09:35:40Z","snapshot_observed_at":"2026-08-02T06:39:30.515427Z","submitted_at":"2024-12-17T17:34:52Z","title":"Motion-2-To-3: Leveraging 2D Motion Data for 3D Motion Generations","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-23T06:36:47.877594Z"},"links":{"cited_paper":"/paper/2212.04048","citing_paper":"/paper/2412.13111"},"observation_digest":"sha256:a32aaae9ed93ff1a738478912fe4c8cdc7de9a0e2ab5b47f8d5c038532c1b540","observation_id":"a83bafea-2188-4975-9710-89c27499180b","resolution":{"observed_at":"2026-05-23T06:37:38.920160Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04048","last_updated":"2023-05-19T08:14:04Z","snapshot_observed_at":"2026-08-04T09:21:48.823841Z","submitted_at":"2022-12-08T03:07:00Z","title":"Executing your Commands via Motion Diffusion in Latent Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04048","snapshot_observed_at":"2026-08-07T13:34:15.234683Z","title":"Executing your Commands via Motion Diffusion in Latent Space","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.21437","last_updated":"2025-05-27T17:11:50Z","snapshot_observed_at":"2026-08-09T02:19:21.735433Z","submitted_at":"2025-05-27T17:11:50Z","title":"CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:34:15.234683Z"},"links":{"cited_paper":"/paper/2212.04048","citing_paper":"/paper/2505.21437"},"observation_digest":"sha256:e11e9b8f9848e637a1e0f820fc86118a3b67c662b165ee1a808ff20e92d115b9","observation_id":"9d665578-6069-48fc-99b8-ed71c10b729d","resolution":{"observed_at":"2026-08-07T13:34:15.234683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04048","last_updated":"2023-05-19T08:14:04Z","snapshot_observed_at":"2026-08-04T09:21:48.823841Z","submitted_at":"2022-12-08T03:07:00Z","title":"Executing your Commands via Motion Diffusion in Latent Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04048","snapshot_observed_at":"2026-08-07T11:27:47.077473Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02452","last_updated":"2025-08-24T13:14:45Z","snapshot_observed_at":"2026-08-09T07:32:39.576106Z","submitted_at":"2025-06-03T05:17:37Z","title":"ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:27:47.077473Z"},"links":{"cited_paper":"/paper/2212.04048","citing_paper":"/paper/2506.02452"},"observation_digest":"sha256:a573ae85ed8dbd51c6ec2476d36d24d72f78fd860072f3cd73cc7541225fc171","observation_id":"7dca696f-7563-4cbe-9de6-91d9c265b21c","resolution":{"observed_at":"2026-08-07T11:27:47.077473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04048","last_updated":"2023-05-19T08:14:04Z","snapshot_observed_at":"2026-08-04T09:21:48.823841Z","submitted_at":"2022-12-08T03:07:00Z","title":"Executing your Commands via Motion Diffusion in Latent Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.04048","snapshot_observed_at":"2026-08-07T12:06:21.802050Z","title":"Executing your Commands via Motion Diffusion in Latent Space,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.03191","last_updated":"2025-05-31T11:02:24Z","snapshot_observed_at":"2026-08-08T02:50:50.296059Z","submitted_at":"2025-05-31T11:02:24Z","title":"Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:21.802050Z"},"links":{"cited_paper":"/paper/2212.04048","citing_paper":"/paper/2506.03191"},"observation_digest":"sha256:6a0fc86cca7ae545ca4163b8000fbdb137501a43a13d7d99af8ed8d234b301db","observation_id":"95d5a0a4-7dd9-451c-9ed2-579695238d8b","resolution":{"observed_at":"2026-08-07T12:06:21.802050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.04048","last_updated":"2023-05-19T08:14:04Z","snapshot_observed_at":"2026-08-04T09:21:48.823841Z","submitted_at":"2022-12-08T03:07:00Z","title":"Executing your Commands via Motion Diffusion in Latent Space","version":3},"cited_work":{"arxiv_id":"2212.04048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.04048","snapshot_observed_at":"2026-07-01T17:05:51.245873Z","title":"Executing your Commands via Motion Diffusion in Latent Space","venue":null,"work_id":"2c49afda-fe60-4009-82ab-94a18ca206ef","year":2023},"citing_paper":{"arxiv_id":"2606.28237","last_updated":"2026-06-26T16:23:40Z","snapshot_observed_at":"2026-07-07T00:02:18.989389Z","submitted_at":"2026-06-26T16:23:40Z","title":"Unleashing Infinite Motion: Scaling Expressive Quadrupedal Motion via Generative Video Priors","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-29T04:10:56.435946Z"},"links":{"cited_paper":"/paper/2212.04048","citing_paper":"/paper/2606.28237"},"observation_digest":"sha256:62954c9d23516c91c1786b8c5b614ee7cf219e5a934edb62d0d6ca6c71ce69f0","observation_id":"ef2ddc92-f7bf-4d4c-9632-bb5225d7e739","resolution":{"observed_at":"2026-07-01T17:05:51.247225Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.04048/citation-record","integrity":"/paper/2212.04048/integrity","json":"/paper/2212.04048/citation-record.json","paper":"/paper/2212.04048"},"outbound":[],"paper":{"arxiv_id":"2212.04048","last_updated":"2023-05-19T08:14:04Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T09:21:48.823841Z","submitted_at":"2022-12-08T03:07:00Z","title":"Executing your Commands via Motion Diffusion in Latent Space"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.04048."}