{"as_of":"2026-08-09T07:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:45a329bb492a56545d96465249a0051019f0049cbedf8c42828c22c0c95c8bb5","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:06:33.551466Z","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":"2026-07-04T09:59:45.601212Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.01116","last_updated":"2023-04-03T16:29:00Z","snapshot_observed_at":"2026-07-06T15:11:32.429514Z","submitted_at":"2023-04-03T16:29:00Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01116","snapshot_observed_at":"2026-08-07T12:06:33.551466Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model,","venue":null,"work_id":null,"year":2023},"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":133,"source":"pdf_text","source_observed_at":"2026-08-07T12:06:33.551466Z"},"links":{"cited_paper":"/paper/2304.01116","citing_paper":"/paper/2506.03191"},"observation_digest":"sha256:ce80df5d3122f3f0ba2f012bf2f1a25fbcb846ba37f893097732608c443a87be","observation_id":"d3da651e-63d7-4737-acae-2d12d8b382ab","resolution":{"observed_at":"2026-08-07T12:06:33.551466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01116","last_updated":"2023-04-03T16:29:00Z","snapshot_observed_at":"2026-07-06T15:11:32.429514Z","submitted_at":"2023-04-03T16:29:00Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01116","snapshot_observed_at":"2026-08-06T19:05:15.554689Z","title":"Remodiffuse: Retrieval-augmented motion diffusion model,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06590","last_updated":"2025-07-09T06:51:36Z","snapshot_observed_at":"2026-08-06T18:57:13.941090Z","submitted_at":"2025-07-09T06:51:36Z","title":"MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf Interaction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T19:05:15.554689Z"},"links":{"cited_paper":"/paper/2304.01116","citing_paper":"/paper/2507.06590"},"observation_digest":"sha256:c258f7da23001d62f45cc8e9869e8c3f93d4862ec56532c90633570406f17794","observation_id":"8bc565f4-1bd0-4dd0-9820-45f703bfe01a","resolution":{"observed_at":"2026-08-06T19:05:15.554689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01116","last_updated":"2023-04-03T16:29:00Z","snapshot_observed_at":"2026-07-06T15:11:32.429514Z","submitted_at":"2023-04-03T16:29:00Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01116","snapshot_observed_at":"2026-08-03T16:24:11.054177Z","title":"Re- modiffuse: Retrieval-augmented motion diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.13840","last_updated":"2026-07-13T14:30:21Z","snapshot_observed_at":"2026-08-08T16:03:16.377859Z","submitted_at":"2025-12-15T19:22:40Z","title":"MoLingo: Motion-Language Alignment for Text-to-Human Motion Generation","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-03T16:24:11.054177Z"},"links":{"cited_paper":"/paper/2304.01116","citing_paper":"/paper/2512.13840"},"observation_digest":"sha256:9fea1d21daa46c679537c359c182161256376d53961c3b300d3df6f777857d3c","observation_id":"a97f50a1-a42e-4b24-b107-1085b065e2a1","resolution":{"observed_at":"2026-08-03T16:24:11.054177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01116","last_updated":"2023-04-03T16:29:00Z","snapshot_observed_at":"2026-07-06T15:11:32.429514Z","submitted_at":"2023-04-03T16:29:00Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model","version":1},"cited_work":{"arxiv_id":"2304.01116","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01116","snapshot_observed_at":"2026-07-04T09:59:45.601212Z","title":"48550/arXiv.2304.01116,http://arxiv.org/abs/2304.01116","venue":null,"work_id":"0d9d66a3-74b2-40c4-8b29-2d16039dcbc6","year":2023},"citing_paper":{"arxiv_id":"2605.11704","last_updated":"2026-07-21T14:48:41Z","snapshot_observed_at":"2026-08-02T14:18:57.872309Z","submitted_at":"2026-05-12T07:58:58Z","title":"ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-13T06:24:01.820975Z"},"links":{"cited_paper":"/paper/2304.01116","citing_paper":"/paper/2605.11704"},"observation_digest":"sha256:955efc225c508c73b37d4e6b322acbcde3b7e93dbf1a467e9b33bacd66be6cba","observation_id":"feb1d93e-b989-45ec-96c1-427ae6fc534e","resolution":{"observed_at":"2026-05-13T06:27:24.797426Z","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":"2304.01116","last_updated":"2023-04-03T16:29:00Z","snapshot_observed_at":"2026-07-06T15:11:32.429514Z","submitted_at":"2023-04-03T16:29:00Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01116","snapshot_observed_at":"2026-08-02T14:19:04.243394Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.11704","last_updated":"2026-07-21T14:48:41Z","snapshot_observed_at":"2026-08-02T14:18:57.872309Z","submitted_at":"2026-05-12T07:58:58Z","title":"ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T14:19:04.243394Z"},"links":{"cited_paper":"/paper/2304.01116","citing_paper":"/paper/2605.11704"},"observation_digest":"sha256:b19bf8541ef2719588dd4130f6b7276989efada5456eb21f0818ab2b75bca80e","observation_id":"dcc5cd31-969e-464a-a81f-a66ab245e52f","resolution":{"observed_at":"2026-08-02T14:19:04.243394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01116","last_updated":"2023-04-03T16:29:00Z","snapshot_observed_at":"2026-07-06T15:11:32.429514Z","submitted_at":"2023-04-03T16:29:00Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model","version":1},"cited_work":{"arxiv_id":"2304.01116","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.01116","snapshot_observed_at":"2026-07-04T09:59:45.601212Z","title":"48550/arXiv.2304.01116,http://arxiv.org/abs/2304.01116","venue":null,"work_id":"0d9d66a3-74b2-40c4-8b29-2d16039dcbc6","year":2023},"citing_paper":{"arxiv_id":"2606.22726","last_updated":"2026-07-03T01:47:59Z","snapshot_observed_at":"2026-08-01T06:55:05.207715Z","submitted_at":"2026-06-22T00:01:05Z","title":"Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-06-26T09:15:27.661551Z"},"links":{"cited_paper":"/paper/2304.01116","citing_paper":"/paper/2606.22726"},"observation_digest":"sha256:cd832610ab7f4bccc195a71bf4fe698010bbc3f3564652b7702d470c36468fb8","observation_id":"c3207fcc-4ee3-43a1-abaf-7602759d5fb1","resolution":{"observed_at":"2026-07-04T09:59:45.602579Z","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":"2304.01116","last_updated":"2023-04-03T16:29:00Z","snapshot_observed_at":"2026-07-06T15:11:32.429514Z","submitted_at":"2023-04-03T16:29:00Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01116","snapshot_observed_at":"2026-07-12T12:50:56.152971Z","title":"48550/arXiv.2304.01116,http://arxiv.org/abs/2304.01116","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.22726","last_updated":"2026-07-03T01:47:59Z","snapshot_observed_at":"2026-08-01T06:55:05.207715Z","submitted_at":"2026-06-22T00:01:05Z","title":"Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generation","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-07-12T12:50:56.152971Z"},"links":{"cited_paper":"/paper/2304.01116","citing_paper":"/paper/2606.22726"},"observation_digest":"sha256:fb3a1c5ead3e9fdf54242125e0ddbdaf97f4074cf579e3060e61595ae2726b3a","observation_id":"46bdeeaf-2f6c-4ebb-8228-a753f810fc74","resolution":{"observed_at":"2026-07-12T12:50:56.152971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2304.01116/citation-record","integrity":"/paper/2304.01116/integrity","json":"/paper/2304.01116/citation-record.json","paper":"/paper/2304.01116"},"outbound":[],"paper":{"arxiv_id":"2304.01116","last_updated":"2023-04-03T16:29:00Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T15:11:32.429514Z","submitted_at":"2023-04-03T16:29:00Z","title":"ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model"},"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 7 inbound Pith citation observations for arXiv:2304.01116."}