{"as_of":"2026-08-21T18:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9f75c481acb9c5d8479d18585061a14d2a740bf5beb73f0b871a791db0b77afd","coverage":[{"denominator":81,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":81,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:03:40.026908Z","state":"measured"},{"denominator":86,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":86,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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":"2026-08-12T13:02:32.115858Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14706","snapshot_observed_at":"2026-08-12T13:02:32.115858Z","title":"Energymo- gen: Compositional human motion generation with energy- based diffusion model in latent space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16575","last_updated":"2025-07-08T20:15:01Z","snapshot_observed_at":"2026-08-19T11:18:14.567823Z","submitted_at":"2024-11-25T16:59:42Z","title":"Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression","version":2},"reference_index":112,"source":"pdf_text","source_observed_at":"2026-08-12T13:02:32.115858Z"},"links":{"cited_paper":"/paper/2412.14706","citing_paper":"/paper/2411.16575"},"observation_digest":"sha256:7723e6809f1483596b442b1dc6eb0082263603bdf3f18026a2902c52e1d771bb","observation_id":"8d6b4f03-b7ad-4768-a476-8a926ab3985f","resolution":{"observed_at":"2026-08-12T13:02:32.115858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14706","snapshot_observed_at":"2026-08-07T14:19:24.539997Z","title":"Energymogen: Compositional human motion generation with energy-based diffusion model in latent space.arXiv preprint arXiv:2412.14706, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19377","last_updated":"2025-05-30T19:54:43Z","snapshot_observed_at":"2026-08-19T20:31:46.930634Z","submitted_at":"2025-05-26T00:36:00Z","title":"Absolute Coordinates Make Motion Generation Easy","version":2},"reference_index":117,"source":"pdf_text","source_observed_at":"2026-08-07T14:19:24.539997Z"},"links":{"cited_paper":"/paper/2412.14706","citing_paper":"/paper/2505.19377"},"observation_digest":"sha256:d1591ef57a1a4a2d26e272d30cf9e7fc80fadcb9efc5defec8c89871fd62b583","observation_id":"96c3931a-b095-4121-85f5-e20b7914dbce","resolution":{"observed_at":"2026-08-07T14:19:24.539997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"cited_work":{"arxiv_id":"2412.14706","doi":"10.48550/arxiv.2412.14706","metadata_source":"arxiv_reference","pith_arxiv_id":"2412.14706","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"7ed94e80-be98-424e-97df-b74592ce97c9","year":2024},"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":70,"source":"pdf_text","source_observed_at":"2026-06-26T09:15:27.661551Z"},"links":{"cited_paper":"/paper/2412.14706","citing_paper":"/paper/2606.22726"},"observation_digest":"sha256:8448f8c49155e6a04dd0cdc550bfc5e3510c3a159d214fa0dc8de60706fafdf2","observation_id":"ba5c1e1f-a0ce-4052-997b-5f30401a9c13","resolution":{"observed_at":"2026-06-26T09:19:16.023606Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14706","snapshot_observed_at":"2026-07-12T12:50:56.152971Z","title":null,"venue":null,"work_id":null,"year":2024},"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":70,"source":"pdf_text","source_observed_at":"2026-07-12T12:50:56.152971Z"},"links":{"cited_paper":"/paper/2412.14706","citing_paper":"/paper/2606.22726"},"observation_digest":"sha256:b07ec1250592210741ec131a1676337039a850ecf75311ecd8ca70932b0b8f58","observation_id":"b6af3e8c-ee33-4ef0-b6f5-91fb31ab3ef2","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"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14706","snapshot_observed_at":"2026-08-03T12:14:46.051810Z","title":"arXiv preprint arXiv:2412.14706 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.29180","last_updated":"2026-07-31T09:01:25Z","snapshot_observed_at":"2026-08-20T17:04:22.882985Z","submitted_at":"2026-07-31T09:01:25Z","title":"MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-03T12:14:46.051810Z"},"links":{"cited_paper":"/paper/2412.14706","citing_paper":"/paper/2607.29180"},"observation_digest":"sha256:d8fc2f0b354424d069f7156544397acfadf6359a65751e2bcd1d9c58f45dbceb","observation_id":"b37c3ff4-30c0-46f5-9b61-60680675e571","resolution":{"observed_at":"2026-08-03T12:14:46.051810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.14706/citation-record","integrity":"/paper/2412.14706/integrity","json":"/paper/2412.14706/citation-record.json","paper":"/paper/2412.14706"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:03:39.575301Z","title":"Lan- guage2pose: Natural language grounded pose forecasting","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.575301Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:b92c1970299135a034cb2e9a447e5ec85d5fd7c1f53d24ef50bd6a53191e076d","observation_id":"eb988a05-cf56-4394-8c70-b96a842bb8e7","resolution":{"observed_at":"2026-08-11T12:03:39.575301Z","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":"2026-08-11T12:03:41.507963Z","title":"Black, and G¨ul Varol","venue":null,"work_id":"aef78d8f-3f8e-4f70-aa31-766b3d87bde0","year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.581714Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:49998b631daa0b8cbdd1036181c21ae836073d04a8a5d6ea8f794d5fa77050f4","observation_id":"b883f46d-07bf-4876-97ba-71a498ac51e9","resolution":{"observed_at":"2026-08-11T12:03:41.533611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.461044Z","title":"Black, and G¨ul Varol","venue":null,"work_id":"80427e63-12d2-49d3-a018-d611464871f0","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.589939Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:120634bd0bf3db77f24177d0c4eeccc86aa26627680bba31f41b422da0e9b8b2","observation_id":"cfe01e85-b6dd-446e-8b37-15fc3d0b9fb1","resolution":{"observed_at":"2026-08-11T12:03:41.478691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.434908Z","title":"Locke: Epistemology and ontology","venue":null,"work_id":"8b81d586-3d12-4fa3-b352-73811e91a84a","year":1991},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.596360Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:0c69d2ab252e3e4ffd1390c1028f5059ca92905b75a944bcf86f94bbf2b783e1","observation_id":"4c43133b-ecbd-4961-b3fd-02c8fb0d23aa","resolution":{"observed_at":"2026-08-11T12:03:41.442673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.01413","last_updated":"2023-01-04T03:03:08Z","snapshot_observed_at":"2026-08-19T16:59:44.031166Z","submitted_at":"2023-01-04T03:03:08Z","title":"Attribute-Centric Compositional Text-to-Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.01413","snapshot_observed_at":"2026-08-11T12:03:39.602779Z","title":"Attribute-centric compositional text-to-image generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.602779Z"},"links":{"cited_paper":"/paper/2301.01413","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:87588f28ae5c9ef69e866a852c51b623f56599e416a5faa912eeb19645db22d1","observation_id":"22cc80a5-f5c9-42be-90c1-86f2734ccdb2","resolution":{"observed_at":"2026-08-11T12:03:39.602779Z","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":"2026-08-11T12:03:41.417096Z","title":"Mofusion: A frame- work for denoising-diffusion-based motion synthesis","venue":null,"work_id":"6519bbdb-0799-4e2b-a8ae-e0107e3b17ce","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.608101Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:8eb09a2fae60f0aa70863ebe9ce4ac994bf05bbf59a6ae72df02cf0a7ba5041e","observation_id":"b0f0036c-ca42-47f2-8e60-4074c899527a","resolution":{"observed_at":"2026-08-11T12:03:41.422540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.400620Z","title":"Implicit generation and mod- eling with energy based models","venue":null,"work_id":"06c13d88-56f0-4d1e-a7fc-7a5bae7d236d","year":2019},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.613083Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:07ac02932e003720ff8a7cb55c3be0d3f3f8fc81007238b8a87c611bff094d3d","observation_id":"39c45852-0017-4535-97d8-91668e95ca92","resolution":{"observed_at":"2026-08-11T12:03:41.405887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.382600Z","title":"Compositional visual generation with energy based models","venue":null,"work_id":"c640422e-6f8c-4527-b51b-ae552052462c","year":2020},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.618275Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:18764f77e53e9f7c52f36f146fc7b6f701532057778ca70bdd696f5ec3d82c41","observation_id":"87371055-22a9-450f-b84f-4d02682632dd","resolution":{"observed_at":"2026-08-11T12:03:41.388742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.01316","last_updated":"2021-06-11T00:41:30Z","snapshot_observed_at":"2026-08-20T02:29:54.846144Z","submitted_at":"2020-12-02T16:39:49Z","title":"Improved Contrastive Divergence Training of Energy Based Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.01316","snapshot_observed_at":"2026-08-11T12:03:39.622708Z","title":"Improved contrastive divergence training of energy based models","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.622708Z"},"links":{"cited_paper":"/paper/2012.01316","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:8c5fbbfcde917b3dcd5a2fcfd3222c8850c9007480f31d4abb72d46005ba48a3","observation_id":"10fa5e7c-574a-46be-a3d5-cd3757c0e6f9","resolution":{"observed_at":"2026-08-11T12:03:39.622708Z","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":"2026-08-11T12:03:41.364244Z","title":"Unsupervised learning of compositional en- ergy concepts","venue":null,"work_id":"86eb1c3d-3196-413c-9c12-6db03338193e","year":2021},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.627849Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:5605964799b6c4ada0619c9984699596f081a38c941c35835466cfcdb34814df","observation_id":"1844504b-762b-4776-8f6a-b1c337f6602d","resolution":{"observed_at":"2026-08-11T12:03:41.369656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.345611Z","title":"Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc","venue":null,"work_id":"3599b07a-faea-4859-8e79-e0715354daa1","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.633254Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:88de5861fa387d775d634ff40f17b5486aa0fc9ce653ed826f7c011910165ed4","observation_id":"7ca359e8-a509-4f22-a5c9-6852eff0d7fc","resolution":{"observed_at":"2026-08-11T12:03:41.351748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.328242Z","title":"Training- free structured diffusion guidance for compositional text-to- image synthesis","venue":null,"work_id":"05352848-389e-4ea6-a6b2-b360b7722ded","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.639000Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:e7ae08b217d2c83fa1528e437b05f52539ff27b9d847f1c9a75ecd8652fa1e9f","observation_id":"e038eb87-e6df-4663-ad6e-20a280cac855","resolution":{"observed_at":"2026-08-11T12:03:41.333807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.309873Z","title":"Guess gradually enrich- ing synthesis for text-driven human motion generation","venue":null,"work_id":"3c2f87be-dd2e-40cd-a76e-4e7a6a47a437","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.645179Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:e0b505a9ea3633b3f715f3b5a53c76d917f996535749c2d1f8a1f7c9704cb243","observation_id":"2ecaf3fb-0c01-4640-9b6a-2516296cd19a","resolution":{"observed_at":"2026-08-11T12:03:41.316051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.289418Z","title":"Guess: Gradually en- riching synthesis for text-driven human motion generation","venue":null,"work_id":"691da232-bb43-4519-bdfe-a530a8fc98b5","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.651689Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:b1f02df5d1e0a1714e278d698e01449b5332e495ce17666b20aa828234734ba4","observation_id":"f12a5b22-5dfc-451c-a926-20419284a60b","resolution":{"observed_at":"2026-08-11T12:03:41.297606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.272981Z","title":"Compositional sculpt- ing of iterative generative processes","venue":null,"work_id":"317dc09d-37bb-4592-9238-3e6f8ac2a8f3","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.657656Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:7b9eeae42c8a3429452f057d14a8afd0020e7d600ab0799f4366a6130283e89c","observation_id":"1cad033c-1434-4174-9fc8-4d0918aef1f0","resolution":{"observed_at":"2026-08-11T12:03:41.278359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.256201Z","title":"Synthesis of compositional animations from textual descriptions","venue":null,"work_id":"39f544ea-74e2-4b34-a965-c9c901bf5fc5","year":2021},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.663907Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:4da8d8f6d36ca4b5fbd2e7dfe04ed5c7d3b549abcc53cb8763099c0880b99c2d","observation_id":"ca847f59-97d9-4d2d-a6b5-9a4e56258cae","resolution":{"observed_at":"2026-08-11T12:03:41.261904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.239180Z","title":"Iterative motion editing with natural language","venue":null,"work_id":"1909d443-d1bd-4a6f-b716-a417b302125e","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.669458Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:046f3a747fbe89eee0d20901604ecae35868407d95e43490d8ff1b33b36dcf53","observation_id":"3fd26d14-d2e4-4854-94eb-3f9b11147050","resolution":{"observed_at":"2026-08-11T12:03:41.244157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-08-17T20:47:46.242385Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-11T12:03:39.675807Z","title":"Mamba: Linear-time sequence modeling with selective state spaces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.675807Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:9d0e0148d7c8965c8c7f5eabd0ed10c6f26cbf70c17c6f4a46c387a8561c0b9a","observation_id":"76a2bf14-3538-4b6b-b851-ac3d1d1a48bf","resolution":{"observed_at":"2026-08-11T12:03:39.675807Z","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":"2026-08-11T12:03:41.224111Z","title":"Generating diverse and natural 3d human motions from text","venue":null,"work_id":"855450b3-5beb-4337-8c94-0a549caac29f","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.682894Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:1bcfc9a03fdef9503305764306db3b39c649c3924c109ef2731bc4832716dcaf","observation_id":"2cbc2fe9-7270-416d-9a54-3c63f253c925","resolution":{"observed_at":"2026-08-11T12:03:41.229119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.207234Z","title":"Tm2t: Stochastic and tokenized modeling for the reciprocal gener- ation of 3d human motions and texts","venue":null,"work_id":"b4c42b6d-b443-479c-9da0-958f12f0f439","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.688431Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:8c1537db4f8bcba8ecd0541fe641e3589786b8fe567b63188a94fd8a9ec31d59","observation_id":"c735a9bb-5109-45b5-9b84-1d2b9b52ee21","resolution":{"observed_at":"2026-08-11T12:03:41.212615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.189766Z","title":"Momask: Generative masked model- ing of 3d human motions","venue":null,"work_id":"390aa56e-eb10-462b-96c3-2fd829ecb852","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.694140Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:ee357c531ba5aa61dfbeacdf2a1e67b8aee9b8cceb3c20c525e560fc691cdee0","observation_id":"ab7f45be-718f-4dff-a1a5-3344c107e1b6","resolution":{"observed_at":"2026-08-11T12:03:41.195831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.172650Z","title":"Amd: Autoregressive motion diffusion","venue":null,"work_id":"6237cca6-fe1f-49aa-81b9-aafa17620e06","year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.699684Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:966da064ca1bd5d75d76c550c50aebefd3db00107a82a25d8462df9d1e645731","observation_id":"2b1ce712-b273-4c2e-93db-13bfe466e998","resolution":{"observed_at":"2026-08-11T12:03:41.177962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-11T12:03:39.706085Z","title":"Classifier-free diffusion guidance","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.706085Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:e2b14cfecd5da3e23adf41b591f17dcfcf083edd7f7735089465fee11c01416d","observation_id":"9a96bd73-a1ec-4fd0-97f9-5d199e205766","resolution":{"observed_at":"2026-08-11T12:03:39.706085Z","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":"2026-08-11T12:03:41.154078Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":"6105ce25-c698-44eb-b326-3c1f456b83eb","year":2020},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.715957Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:656af3b8133959911e0f79a1ee120421a4078393456eab486bc15bc46184a57e","observation_id":"724a32ad-79e4-4c9f-a6cd-0a6d037f9b02","resolution":{"observed_at":"2026-08-11T12:03:41.159629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.136728Z","title":"Energy transformer","venue":null,"work_id":"9d8fbdbc-1487-4b66-88d0-ca2c6d360eab","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.721733Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:3f2c24148abe79eb16329a1054abfef663653909fb1292fa7d879bc62f571d8f","observation_id":"e015d2bd-7251-433a-822a-d119ff42e349","resolution":{"observed_at":"2026-08-11T12:03:41.142333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23126","last_updated":"2024-10-31T16:02:34Z","snapshot_observed_at":"2026-08-18T17:21:51.037998Z","submitted_at":"2024-10-30T15:35:51Z","title":"Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23126","snapshot_observed_at":"2026-08-11T12:03:39.726995Z","title":"Prov- ably optimal memory capacity for modern hopfield mod- 9 els: Transformer-compatible dense associative memories as spherical codes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.726995Z"},"links":{"cited_paper":"/paper/2410.23126","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:e7c704f04e293678669165bb814dec93f1e4ea91913a3537f25e80a78b82867c","observation_id":"c46f160d-7bff-4a3a-b034-ae90daf5e412","resolution":{"observed_at":"2026-08-11T12:03:39.726995Z","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":"2026-08-11T12:03:41.119097Z","title":"On statistical rates and provably efficient criteria of latent diffusion transformers (dits)","venue":null,"work_id":"a934982c-f0ae-4b0d-8cd7-97a3f25b10cd","year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.733583Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:d199fa42c66e975f29448f9b3e2e8c1fda7ef637a72f9809b31c9d4605bcde57","observation_id":"baa5d664-bc3e-4edb-a932-e18dd497ea23","resolution":{"observed_at":"2026-08-11T12:03:41.125311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09778","last_updated":"2023-02-22T02:14:55Z","snapshot_observed_at":"2026-08-16T15:54:13.649659Z","submitted_at":"2023-02-20T05:48:41Z","title":"Composer: Creative and Controllable Image Synthesis with Composable Conditions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.09778","snapshot_observed_at":"2026-08-11T12:03:39.740059Z","title":"Composer: Creative and controllable im- age synthesis with composable conditions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.740059Z"},"links":{"cited_paper":"/paper/2302.09778","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:bc861ae48624355307d06ae158b026c8e07b28a27d3497508184608634baf73f","observation_id":"40b54622-fc64-4391-a05b-97b00c2f8367","resolution":{"observed_at":"2026-08-11T12:03:39.740059Z","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":"2026-08-11T12:03:41.103417Z","title":"Estimation of non- normalized statistical models by score matching","venue":null,"work_id":"ae20dc49-0a8c-4b02-9212-d5fc0bcde385","year":2005},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.746169Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:d6ab423b323f0613df5a8c42afbc34a3856dcfe2f72b05ea7f560c2f5868e39d","observation_id":"0fc48ee9-b163-48d4-9754-c58e4c32610f","resolution":{"observed_at":"2026-08-11T12:03:41.108739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.086694Z","title":"Motiongpt: Human motion as a foreign language","venue":null,"work_id":"0373bb08-0503-480b-92ac-b31bd51ed22b","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.751749Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:0276b0a9d6f40a8500da3c6b15aa3b6e0f714aed2ab13c55770bc1ad3bb9f2e7","observation_id":"4e845196-0601-4062-8955-0f6a6eac30ed","resolution":{"observed_at":"2026-08-11T12:03:41.092446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.069042Z","title":"Act as you wish: Fine-grained control of mo- tion diffusion model with hierarchical semantic graphs","venue":null,"work_id":"48000804-eb9a-4959-9109-2fb3f3b52076","year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.757304Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:ac71363f842046cbd3f2a534e5e391c6b36ba616be6ecdbc185c638098a757b2","observation_id":"d5fa13b4-57eb-4056-9716-21271e9d2bf8","resolution":{"observed_at":"2026-08-11T12:03:41.074310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.050278Z","title":"Guided motion diffusion for controllable human motion synthesis","venue":null,"work_id":"49a6fb90-5dd3-4b44-99e6-e3e858f72179","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.763108Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:36cb56460c7593cd6077d4f69740560215df04b99003364b791d6bb760200024","observation_id":"6a8322ca-5b21-4b89-b3e2-cc4d40ff46a5","resolution":{"observed_at":"2026-08-11T12:03:41.056384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.031770Z","title":"Guided motion diffusion for controllable human motion synthesis","venue":null,"work_id":"adbe5c51-7134-43aa-b694-fc8e26cfcab4","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.769273Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:d49f37c97623019d92f5c422f368b9142f898a701a6269d82120a1558c0fea2a","observation_id":"5b3c1a55-3f82-483b-b948-5a9b28ee4898","resolution":{"observed_at":"2026-08-11T12:03:41.038053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:41.014456Z","title":"Auto-encoding varia- tional bayes","venue":null,"work_id":"98e83799-9eb3-4604-a4cf-17728b896e71","year":2014},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.774449Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:af1526eba915a67024062f5f0825a34512319ef641867fb797185ea279c667bf","observation_id":"6d369a68-db92-493f-b41d-4262f42df057","resolution":{"observed_at":"2026-08-11T12:03:41.019877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.995156Z","title":"Priority-centric human motion genera- tion in discrete latent space","venue":null,"work_id":"067b8463-2e48-4eec-ae4e-451947b4d9a8","year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.780342Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:673f96b809470929d495b8598325e34a10cbc92d4bbc10fea850d9e6d7c84737","observation_id":"8427370e-744f-45bb-9787-3c1210a51413","resolution":{"observed_at":"2026-08-11T12:03:41.001774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.976995Z","title":"A tutorial on energy-based learning.Predicting structured data, 2006","venue":null,"work_id":"247bfbb4-fc80-4b2a-9e78-1be21a48b23e","year":2006},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.786609Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:fc79ff922dadab6bd4451d7b04d22196a02f7a9af89c062eb64a20de7c8be4c7","observation_id":"cad9132d-093b-4f69-83e6-6f6abb9bf6dc","resolution":{"observed_at":"2026-08-11T12:03:40.983114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.959395Z","title":"Stylet2i: Toward compositional and high-fidelity text- to-image synthesis","venue":null,"work_id":"badada48-e36a-4646-8098-10b32b057e6f","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.792801Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:9550ee04a8f20bebb0d546b510d352b4cd8401b007421c0d75c9c743bf6fb8bf","observation_id":"58a8daea-37c4-4b10-a0bf-96addc529762","resolution":{"observed_at":"2026-08-11T12:03:40.965166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.942299Z","title":"Spatio-temporal graph diffusion for text-driven human motion generation","venue":null,"work_id":"413c8b19-b387-4fe9-a781-a344066c2b87","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.798047Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:1455eed409b5cacb51e33c178d28a7ee068e687b993fa4bea8ebe2674f8dc025","observation_id":"fafc0162-c7ae-4de9-9c08-87212844d387","resolution":{"observed_at":"2026-08-11T12:03:40.948027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.923900Z","title":"Learning to compose visual relations","venue":null,"work_id":"fbc6fbe5-f209-4be1-9beb-c7f733dcb4c7","year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.802836Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:fe0dbee83c7309ba88cb2a9cb4f3f39698f81e157937673113110d828bb0e0dd","observation_id":"b997bc18-1e0a-465d-a97a-190d68aee6dc","resolution":{"observed_at":"2026-08-11T12:03:40.929603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.905473Z","title":"Compositional visual generation with composable diffusion models","venue":null,"work_id":"97720b5b-c0a4-44ed-bdfa-2b98c1a736eb","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.808149Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:b0ebc276fe1df5132df2d4625600adff5f641d06e74a3157ef440fae7b87aeb6","observation_id":"792c0105-f3ff-43e7-b73a-5b3007293d9a","resolution":{"observed_at":"2026-08-11T12:03:40.911829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.888986Z","title":"Vision-language nav- igation with energy-based policy","venue":null,"work_id":"e01956da-aa73-43dd-9b33-471eac9beb9c","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.812973Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:a1e2814a41fa85e91698a1ff2c9f2d55085c948372d04db62322ff4521936454","observation_id":"12c91651-5813-4d4e-bb87-d515b2499f1b","resolution":{"observed_at":"2026-08-11T12:03:40.893956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01372","last_updated":"2023-09-04T05:43:48Z","snapshot_observed_at":"2026-08-18T20:13:16.086242Z","submitted_at":"2023-09-04T05:43:48Z","title":"DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01372","snapshot_observed_at":"2026-08-11T12:03:39.817934Z","title":"Diversemotion: Towards diverse human motion generation via discrete diffusion","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.817934Z"},"links":{"cited_paper":"/paper/2309.01372","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:9a8399852e6ccfdbcfc37f36c1630a0a06833f89e073d5f5f34cf153045022ec","observation_id":"c6de2789-7cac-4254-bca4-6ad0feb092b9","resolution":{"observed_at":"2026-08-11T12:03:39.817934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12978","last_updated":"2023-10-19T17:59:46Z","snapshot_observed_at":"2026-08-18T12:29:37.071756Z","submitted_at":"2023-10-19T17:59:46Z","title":"HumanTOMATO: Text-aligned Whole-body Motion Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12978","snapshot_observed_at":"2026-08-11T12:03:39.823633Z","title":"Hu- mantomato: Text-aligned whole-body motion generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.823633Z"},"links":{"cited_paper":"/paper/2310.12978","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:ede3d2d7e866e7b45febe68131131da7c038f240e19ed216c2c12dea512bebca","observation_id":"d85237b7-8fcd-4233-a4cf-2fedf91a4283","resolution":{"observed_at":"2026-08-11T12:03:39.823633Z","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":"2026-08-11T12:03:40.872062Z","title":"Amass: Archive of motion capture as surface shapes","venue":null,"work_id":"80ced678-8ed4-4345-b018-334d904628e5","year":2019},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.829170Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:adf0ad7c1c02f07d397472890a5ea2ec1f44760b98d6e148029b9eb2dbfdda12","observation_id":"777ac5a6-3684-477f-92ca-60e9f0884128","resolution":{"observed_at":"2026-08-11T12:03:40.877353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.856342Z","title":"Control- lable and compositional generation with latent-space energy- based models","venue":null,"work_id":"5e6161eb-94f1-4165-b9ba-7679dd61f191","year":2021},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.834461Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:cc2d8879e19b6631aa6b06c0a3b1f89fa2d07db05e52e82b7a687ec1222ff856","observation_id":"7552afaa-510b-4549-aea9-0161bb666ecd","resolution":{"observed_at":"2026-08-11T12:03:40.861210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.837966Z","title":"Energy-based cross attention for bayesian context update in text-to-image diffusion mod- els","venue":null,"work_id":"94ca18e5-cdce-43ca-a0cd-73f7a08703ba","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.839771Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:c992e3505a294754d18744f7771c4c5c1860877ebda57763fa522551d1da53df","observation_id":"ed96e79f-a1c2-4ad7-a14f-7656d3685fe9","resolution":{"observed_at":"2026-08-11T12:03:40.843596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.820415Z","title":"Black, and G ¨ul Varol","venue":null,"work_id":"7d4724ae-604f-4acc-b2ea-918e0a82f7a2","year":2021},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.845465Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:a932bac56ac939233ca628c2d959f4eaa476a34f0f2f17d17fde0c5cd0574fea","observation_id":"107d8c63-dad6-4a31-ae1b-6d3042b26fb6","resolution":{"observed_at":"2026-08-11T12:03:40.825522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.803298Z","title":"Black, and Gul Varol","venue":null,"work_id":"778992f1-e8ae-4dc4-b4c4-60051cff5306","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.851465Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:bbca54a36c7994c88e1f8c77248c39aca29572d4cbc479e813badad0d17ad7ed","observation_id":"af0b2084-dfb1-421b-9303-e8e56cb777ef","resolution":{"observed_at":"2026-08-11T12:03:40.808414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.784248Z","title":"Tmr: Text-to-motion retrieval using contrastive 3d human motion synthesis","venue":null,"work_id":"aed5b15d-a925-4c94-b402-844ed86ca10d","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.857642Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:b396e997a65ada8fbaf4f690c84c7fd4c2321979ec10bce7eadf177a419655ca","observation_id":"bec95887-407e-4439-8b14-a4353ea54bd2","resolution":{"observed_at":"2026-08-11T12:03:40.790179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.765053Z","title":"Black, G¨ul Varol, Xue Bin Peng, and Davis Rempe","venue":null,"work_id":"b760e2ae-e0d2-4d0f-8cbf-b8d64511dbcc","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.863096Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:8ad24f489510ef48b9018f30aa285dada1646a9ed8385fc378f28fa98da1b649","observation_id":"789bf78d-d7aa-41ba-a42a-c050da0fb6d9","resolution":{"observed_at":"2026-08-11T12:03:40.770907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.747673Z","title":"Mmm: Generative masked motion model","venue":null,"work_id":"abd37c6e-38bc-4ba7-a790-c4505faac468","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.868353Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:0ad3d48f0ead3e194e4761303a253b7c7b73cdd0e79559bf6234b3a5e2497119","observation_id":"9b92996e-c1e5-4a05-8025-89c82caba30b","resolution":{"observed_at":"2026-08-11T12:03:40.752945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.730507Z","title":"The kit motion-language dataset","venue":null,"work_id":"7f234186-0a78-4fb8-9bd0-3687e1b97803","year":2016},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.873754Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:7a853f52d51dfbf5c515f4a0b415f809591bc096799eac836e10062c8e95e0e3","observation_id":"e326ffee-7615-45f7-b960-6b563aed7cc5","resolution":{"observed_at":"2026-08-11T12:03:40.735895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.02217","last_updated":"2021-04-28T07:24:49Z","snapshot_observed_at":"2026-08-13T03:08:20.485293Z","submitted_at":"2020-07-16T17:52:37Z","title":"Hopfield Networks is All You Need","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.02217","snapshot_observed_at":"2026-08-11T12:03:39.879308Z","title":"Hopfield networks is all you need","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.879308Z"},"links":{"cited_paper":"/paper/2008.02217","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:dbb94996a6b8c3b354b624c4b5b3c8cce9d9328c89a64576d4e20d68bfff6af0","observation_id":"4b5be95c-94a6-467a-978e-7a36d9d46d8d","resolution":{"observed_at":"2026-08-11T12:03:39.879308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10993","last_updated":"2024-08-05T01:58:58Z","snapshot_observed_at":"2026-08-16T14:33:53.064609Z","submitted_at":"2023-12-18T07:44:40Z","title":"Realistic Human Motion Generation with Cross-Diffusion Models","version":3},"cited_work":{"arxiv_id":"2312.10993","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.10993","snapshot_observed_at":"2026-08-11T12:03:40.129344Z","title":"Realistic Human Motion Generation with Cross-Diffusion Models","venue":"cs.CV","work_id":"edccdd99-3e05-4060-8a04-a18aeabda18a","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.885608Z"},"links":{"cited_paper":"/paper/2312.10993","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:08df9c14adfccf80420309f71936fdb7ac2aea13ab0a2d17adf5c46f0580be60","observation_id":"11b423d2-62d3-4060-9b57-c1caccd7b8b5","resolution":{"observed_at":"2026-08-11T12:03:40.137768Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.712868Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"255b5241-0b15-4339-89a2-a8f336a8ccda","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.891287Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:870a0cebe26e86491cd3f11fa38765d61c5443da2837eaf56e2c2d7ad1f2b480","observation_id":"2ced559b-30ed-4e46-874f-4f24dc44e98b","resolution":{"observed_at":"2026-08-11T12:03:40.718146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.696638Z","title":"Human motion diffusion as a generative prior","venue":null,"work_id":"50f92bc6-fca9-4592-8ce7-269ee9b31ffd","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.897148Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:3b8c535f7d140771dede615af4d99e9bc6b713d6c1da200abddbf24c4c390e46","observation_id":"ef6b318d-0265-484b-92a5-8d06540b1ed9","resolution":{"observed_at":"2026-08-11T12:03:40.702097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.679302Z","title":"Exploring compositional visual generation with latent classifier guidance","venue":null,"work_id":"5c26fa91-0d1d-46ff-886e-e18ed1d19d2c","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.902271Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:bf9dde7932b7c10e6f9b24f81f361dd252563a2572b3d7b43fb464207ccb2e7e","observation_id":"174cbbb8-b7eb-4f0a-b195-8c78acc37cb7","resolution":{"observed_at":"2026-08-11T12:03:40.685417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.661855Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":"007a3728-4fdb-4ffb-8954-7ff97299d75b","year":2015},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.908272Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:30cbb4fa73b916d9926d9d71959914cc31cf3f24e46bf31093232868a2c3403e","observation_id":"55f96e4f-ac13-4d88-a9ca-7bd9e7dfa599","resolution":{"observed_at":"2026-08-11T12:03:40.667169Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-11T12:03:39.913736Z","title":"Score-based generative modeling through stochastic differential equa- tions","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.913736Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:71da03d190688f441e31df9a9cd897ebd803aa50b98e94c1f05a415b24291a18","observation_id":"009b8a0c-ddba-4944-8c5e-a39969f9f095","resolution":{"observed_at":"2026-08-11T12:03:39.913736Z","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":"2026-08-11T12:03:40.644073Z","title":"Motionclip: Exposing human motion generation to clip space","venue":null,"work_id":"4b780e17-9945-4401-ba24-44438232962c","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.919145Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:d366833858812058c245fbe4d42d058579075136dd25c882cc1fe6a0ee508764","observation_id":"eef54809-01ea-4816-8d9b-4d164d5b7cbd","resolution":{"observed_at":"2026-08-11T12:03:40.649668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.626053Z","title":"Human motion dif- fusion model","venue":null,"work_id":"916f084c-ceaa-4452-9c60-6dd5a7619ac1","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.924219Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:d16ba074bf1bade2984b9de91df5258033c4f0f0d8452c058d120721c6c03653","observation_id":"304b108c-de11-40de-b462-d97c6fd0be0e","resolution":{"observed_at":"2026-08-11T12:03:40.631444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.10658","last_updated":"2022-11-27T06:27:17Z","snapshot_observed_at":"2026-08-16T16:14:55.230498Z","submitted_at":"2022-11-19T10:41:38Z","title":"EDGE: Editable Dance Generation From Music","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.10658","snapshot_observed_at":"2026-08-11T12:03:39.929114Z","title":"Edge: Editable dance generation from music","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.929114Z"},"links":{"cited_paper":"/paper/2211.10658","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:795af0cd6f7661cc41a06a0f03ccc80b56456570cd7b7f3de61251f32e24d2a9","observation_id":"9e749738-864b-451f-a486-dca34bc451d1","resolution":{"observed_at":"2026-08-11T12:03:39.929114Z","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":"2026-08-11T12:03:40.608678Z","title":"Attention is all you need","venue":null,"work_id":"4cbda058-72d3-448b-8dbd-2cc21af0574b","year":2017},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.934194Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:51ecec1cf70984767db5dc8947b5e9cfd510b81259dfd879cd8a9c0903b0b970","observation_id":"1a82f6fd-9e21-4069-85b5-0462cc34643d","resolution":{"observed_at":"2026-08-11T12:03:40.613957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.591145Z","title":"Fg-t2m: Fine-grained text-driven human motion generation via diffusion model","venue":null,"work_id":"c378a25d-5c28-4994-a700-151ac901b239","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.938972Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:2b8f891761fa09e8dd3ff2157f7b6fbe73948b486bd94a645bf508bb9794635f","observation_id":"f2fa0dd1-11cc-45cb-91e0-3917391e8234","resolution":{"observed_at":"2026-08-11T12:03:40.596590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.574107Z","title":"Bayesian learning via stochas- tic gradient langevin dynamics","venue":null,"work_id":"0a7e90c4-7159-423a-b48b-22de6339050e","year":2011},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.943765Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:6633dec46e6c82339929896575fc7bc0846b5b41224a58cab757e8424a402c3b","observation_id":"513ddd89-f985-4638-9195-3c4478aa54f8","resolution":{"observed_at":"2026-08-11T12:03:40.579999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08580","last_updated":"2024-04-14T22:23:18Z","snapshot_observed_at":"2026-08-20T18:30:12.022409Z","submitted_at":"2023-10-12T17:59:38Z","title":"OmniControl: Control Any Joint at Any Time for Human Motion Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08580","snapshot_observed_at":"2026-08-11T12:03:39.948754Z","title":"Omnicontrol: Control any joint at any time for human motion generation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.948754Z"},"links":{"cited_paper":"/paper/2310.08580","citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:1d4d709b457fd74b9252dcd426cb211379f56b05c974839adc92cae8b1327952","observation_id":"50a49298-60f4-4889-8a57-31ebe20beacb","resolution":{"observed_at":"2026-08-11T12:03:39.948754Z","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":"2026-08-11T12:03:40.555618Z","title":"Towards detailed text-to- motion synthesis via basic-to-advanced hierarchical diffu- sion model","venue":null,"work_id":"c11669f9-bdeb-44cc-879d-be1ffef3896f","year":2024},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.954018Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:698d0df503daafe535f0a138e7c0dbeda2efeb3696e60a4dd861c36a5829e38e","observation_id":"df4243b2-d542-422d-bd62-2b155df03196","resolution":{"observed_at":"2026-08-11T12:03:40.561807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.538328Z","title":"Executing your commands via motion diffusion in latent space","venue":null,"work_id":"1f9df360-2377-41ce-a810-a074a9a26d03","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.958970Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:025b35dc1f4750d0a5f467c247457dc2eaeba45a69dcb5cd69ad9be1e651ecbe","observation_id":"5ce96436-79a9-4ece-88b0-bbbd3d5c48f3","resolution":{"observed_at":"2026-08-11T12:03:40.543888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.521885Z","title":"Synthesizing long- term human motions with diffusion models via coherent sampling","venue":null,"work_id":"504a1abc-a949-4722-8494-63656c661332","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.963977Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:f5ad302982ed4ead52703e9690538338850dbd12274012e56dba6ffa5d653c45","observation_id":"d94a2492-d132-42ff-88f6-141dbc324998","resolution":{"observed_at":"2026-08-11T12:03:40.527018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.505371Z","title":"Physdiff: Physics-guided human motion diffusion model","venue":null,"work_id":"e6878823-b136-44d8-ab07-3088fac1f687","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.969057Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:8d3ff187e53ee13941bb6cd9b8fd8e2700e43f043d426340ba6dc3aa3bbda6c3","observation_id":"135cbeae-a1ef-4d6d-9abb-93b3b5954854","resolution":{"observed_at":"2026-08-11T12:03:40.510552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.488553Z","title":"Language-guided human motion synthesis with atomic actions","venue":null,"work_id":"a9a072c7-e559-44eb-a6f2-7032af6815d1","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.973821Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:d8b08656dcd799a6a0b4bd3f1e556cce23dc6490ca987434a357892ab8be644d","observation_id":"7f0b5478-5e9f-466d-a276-7aedb8725cd8","resolution":{"observed_at":"2026-08-11T12:03:40.493763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.472310Z","title":"Generating human motion from textual descriptions with discrete representations","venue":null,"work_id":"d4a4429f-8aae-4976-aa17-ce0f19ab38fb","year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.978765Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:e8fbfd6c39be2e67e5c5b5747e7e6f5ad760bac0ed565e7953de66e45857eb51","observation_id":"25f62238-da4c-40c3-85e1-cb86fef0557c","resolution":{"observed_at":"2026-08-11T12:03:40.477547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.456195Z","title":"Motiondif- fuse: Text-driven human motion generation with diffusion model","venue":null,"work_id":"c5b32840-5bdf-4880-bcee-1141c3842191","year":2022},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.983717Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:d5ee00b3dc7abdf4ad2a0f1dace67d7d0b73d21579e1b02cfe00404d1f651989","observation_id":"4523077f-e42c-474d-913b-7c24aa296717","resolution":{"observed_at":"2026-08-11T12:03:40.461170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.438474Z","title":"Remodiffuse: Retrieval-augmented motion diffusion model","venue":null,"work_id":"8199d67c-f226-4bd0-8f31-d3507a4d52f1","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.988921Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:40bacd56baf2c4e82615d2b185cbb06602898670cc23562fc2fecd3544888dd9","observation_id":"414435cc-992b-47bf-acee-7a7f13ba17ea","resolution":{"observed_at":"2026-08-11T12:03:40.443039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.420996Z","title":"Finemogen: Fine-grained spatio- temporal motion generation and editing","venue":null,"work_id":"ae6f5999-c334-4f0e-9382-3d234d155b17","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.994240Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:ceccf3ee1caf3fcb25ed4e6928a2c9b3dcbb76b3ebc6994b924e1aad0c958940","observation_id":"24c4e6d2-bc19-43c8-9cbb-6cd9bb7e8511","resolution":{"observed_at":"2026-08-11T12:03:40.427339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.403366Z","title":"Mo- tiongpt: Finetuned llms are general-purpose motion genera- tors","venue":null,"work_id":"4980b9d2-9685-4283-811a-8c918256b371","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:39.999574Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:a88abcf2785a68210f71d8dd055aa5f76f5eb113809819b5fefaf986f2b2afa5","observation_id":"5a334608-345f-4b5c-ab4d-b09700a38d34","resolution":{"observed_at":"2026-08-11T12:03:40.409322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.384946Z","title":"Motion mamba: Efficient and long sequence motion generation","venue":null,"work_id":"15465486-7505-45f3-8140-f064cdfdb986","year":2025},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:40.005062Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:42a8d4dd12e2f1c324adbdf04742eb11063087f54816dcbd5a178572d47fd67c","observation_id":"6eb74f9e-c811-4ce9-b9a6-6bad6e4870b2","resolution":{"observed_at":"2026-08-11T12:03:40.390606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.367324Z","title":"Energy- based generative adversarial networks","venue":null,"work_id":"1aeec82a-9d7d-4a1c-8716-e49b6ef48f73","year":2017},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:40.009845Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:39cb05deb4e23878d46d284ad515573bae617cd6b09e670900d6af27c93ce181","observation_id":"db8c1b6b-0020-4c03-a105-f1de2faa9723","resolution":{"observed_at":"2026-08-11T12:03:40.372666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.348200Z","title":"Attt2m: Text-driven human motion generation with multi- perspective attention mechanism","venue":null,"work_id":"37d3e59d-f1db-4cd0-922f-cba4a8c400f9","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:40.016053Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:84160d775a4062ce66ad787631a0e20213a87a80ae76dd75bafdbd49bf69efc1","observation_id":"1a05cac7-e51d-4df3-8dac-2ea18a3b185f","resolution":{"observed_at":"2026-08-11T12:03:40.354426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.329169Z","title":"Ude: A unified driv- ing engine for human motion generation","venue":null,"work_id":"1dd7e7bb-4eb2-48d1-b0db-c8e195700f74","year":2023},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:40.021459Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:c08fb493bebe8e7da26cf839211b3f3e8ba54e85e1fce1ed6fe601ceb1fb89f6","observation_id":"52db30f9-4631-40bc-bc87-d3f6baba2af7","resolution":{"observed_at":"2026-08-11T12:03:40.335592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T12:03:40.311049Z","title":"first take","venue":null,"work_id":"26604668-2ef8-46ad-b02a-ef037d21a0a6","year":null},"citing_paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-11T12:03:40.026908Z"},"links":{"citing_paper":"/paper/2412.14706"},"observation_digest":"sha256:ce8f991433593e2ded8036a12600b88ae91aed157eb8028dddd11441a33f36c4","observation_id":"4d84fa70-1b4b-451e-a151-d8a9892aeb0b","resolution":{"observed_at":"2026-08-11T12:03:40.316465Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.14706","last_updated":"2025-06-04T16:54:19Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-21T08:26:49.509826Z","submitted_at":"2024-12-19T10:19:43Z","title":"EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space"},"reference_resolution":{"displayed":81,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":66},"total_outbound_references":81},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 5 inbound Pith citation observations for arXiv:2412.14706."}