{"as_of":"2026-08-15T05:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:810dfbdf27c576323b8c0821debbd16d1d5b133916e21f43e39572ef43a32778","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T12:43:36.088867Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.21518/citation-record","integrity":"/paper/2507.21518/integrity","json":"/paper/2507.21518/citation-record.json","paper":"/paper/2507.21518"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:43:43.354873Z","title":"A spatio-temporal transformer for 3d human motion prediction","venue":null,"work_id":"c006e7dd-cfa6-45e0-b603-b43ffd1f750e","year":2021},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.212951Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:c393aaa6608b0c38691ab4d97fe9b72976ad4d9296f85de549a63a7ce690da6e","observation_id":"93af0070-8d54-4c4f-9427-1f3a64a603ee","resolution":{"observed_at":"2026-08-06T12:43:43.400707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:43.216034Z","title":"Groovenet: Real-time music- driven dance movement generation using artificial neural networks","venue":null,"work_id":"d8a4cff8-6c66-4639-9f2e-2aaf6551c223","year":2017},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.261123Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:dad9d2051c35e0d63d190ed15480e85590cb20e47a43c3490ca487bd960e1e56","observation_id":"1433cafd-e866-43f6-83be-3f4a77fa9091","resolution":{"observed_at":"2026-08-06T12:43:43.286569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:43.078509Z","title":"A stochastic conditioning scheme for diverse human motion predic- tion","venue":null,"work_id":"6ce72fbc-3d18-4374-aaef-a1876b94baa8","year":2020},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.349332Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:f67b112cd555db27ac2f28fc8b468b3291098f467da70b4eb315b764629b6463","observation_id":"efe3a23a-600d-43b2-a78b-8d1754ac1b97","resolution":{"observed_at":"2026-08-06T12:43:43.136267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:42.960394Z","title":"Interactive motion generation from examples.ACM Transactions on Graphics (TOG), 21(3):483–490, 2002","venue":null,"work_id":"08cd6ff9-29b1-4df5-8c0f-017ffab3a28f","year":2002},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.433333Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:17dae3f3293f19cc05c8c821fb26f76e7eaf2d3349a0896d5f11f2e3dc09fa52","observation_id":"dcc85870-7f1a-4833-9445-c8ae2b629e94","resolution":{"observed_at":"2026-08-06T12:43:43.012846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:42.769294Z","title":"Beyond atten- tion: breaking the limits of transformer context length with recurrent memory","venue":null,"work_id":"1a103281-cdf8-4738-aa2f-f4dd3acc4989","year":2024},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.523280Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:1d5f2deec498349176d04b36334e031d6b5230f9b04659bf1414075964b7cd35","observation_id":"ae9b6906-f8d3-4bf8-876a-9b737c2802ee","resolution":{"observed_at":"2026-08-06T12:43:42.857316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:42.529553Z","title":"Harmonious group choreography with trajectory-controllable diffusion","venue":null,"work_id":"42e1c10f-a23b-4ac8-a7f7-ce228a7d17c2","year":2025},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.636504Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:9eccb1f4ace45b7be9163b8c83232857cd83c5f483798321d6c98da3f7ecbc26","observation_id":"3a55253b-aac3-450b-a4da-19d9022d316e","resolution":{"observed_at":"2026-08-06T12:43:42.654504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:42.334152Z","title":"Learning to dance: A graph convolu- tional adversarial network to generate realistic dance motions from audio","venue":null,"work_id":"c77cb6a0-887f-4184-9844-8c013e579003","year":2021},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.721434Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:e6d50972bab47d889c0914cdcddbd936484602dc79ba1c8d8eee2e0f9ce82737","observation_id":"7f3633a0-794b-4d47-b20a-ef32766c6207","resolution":{"observed_at":"2026-08-06T12:43:42.422825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:42.183991Z","title":"Audio generation with multiple conditional diffusion model","venue":null,"work_id":"210eafb9-0d36-4a89-81a5-7deb4701b2f1","year":2024},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.847259Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:9339b1825b0ac08977660891481e87ff74c14ce43d9a417e31a326775a75c0f5","observation_id":"189fc241-f58d-424d-82d9-aef623f24134","resolution":{"observed_at":"2026-08-06T12:43:42.271041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:43:32.950505Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:32.950505Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:f5356433ce169ff5721a67c1529548e46a82f9e04a7bf8dae413dd99b7b692fe","observation_id":"eb0537b8-aa8d-4951-a413-9807af43c729","resolution":{"observed_at":"2026-08-06T12:43:32.950505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:43:33.038159Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.038159Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:8e225b3432c3bb42df3a0a388875cfd4b7938ba71d699bbf3b83f0deb6624c89","observation_id":"f32558e2-9cb7-4c12-a294-7d2000e09caf","resolution":{"observed_at":"2026-08-06T12:43:33.038159Z","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":"2026-08-06T12:43:41.848576Z","title":"Avatarclip: Zero-shot text-driven generation and animation of 3d avatars","venue":null,"work_id":"8238806b-c082-4611-89e5-2028dc7fe0b7","year":2022},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.174952Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:c8f7f97404e1fe758823c07a414054052799bb53d7841745dd5e7bec685c906c","observation_id":"fecc3098-2a5b-43b1-aa19-7dc52aeb2573","resolution":{"observed_at":"2026-08-06T12:43:41.937586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:41.651331Z","title":"An extensive review of computational dance automation techniques and applications","venue":null,"work_id":"8291a1b0-b679-4d12-b220-e15d59984114","year":2021},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.244352Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:09ae343777a7a29d0cdef3dfc3ee942825313b1852dca2941529d85ee1f40318","observation_id":"986bdc8e-2381-49c1-8795-48be6212a6b1","resolution":{"observed_at":"2026-08-06T12:43:41.714994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:41.353444Z","title":"Rhythmic-motion synthesis based on motion-beat analysis","venue":null,"work_id":"beadeb0a-5834-404b-a239-d4100db41e58","year":2003},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.300858Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:362e26cf9a5136c4bbd5829b1c343d8badc755618245bb0b426e687d011a777c","observation_id":"4eb689c5-3e82-4cd8-83fc-606f8e83e4fd","resolution":{"observed_at":"2026-08-06T12:43:41.504227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-13T11:38:10.906031Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-06T12:43:33.404344Z","title":"Semi-supervised classification with graph convolu- tional networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.404344Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:7eb026dd096d691ea0167c626c76f8dba5c4b21dba3b0a6f5b87103adee2d053","observation_id":"d22ed065-7530-45c7-83f7-71f31f96dd3d","resolution":{"observed_at":"2026-08-06T12:43:33.404344Z","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":"2026-08-06T12:43:41.110776Z","title":"Motion graphs","venue":null,"work_id":"30e5d340-37b4-4154-90d8-977e0f132e02","year":2002},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.487578Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:4af55bedb1bfa2dc50afe7aa3ad6f958105388a639be0cb7ce09f94c52cabcea","observation_id":"ee84dc8b-7004-4b8a-b973-cb6d8e6669f2","resolution":{"observed_at":"2026-08-06T12:43:41.255469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:40.866337Z","title":"Controllable group choreography using contrastive diffusion","venue":null,"work_id":"f9ac3b8d-5ded-46e0-a702-d08dc0e3809a","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.566208Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:12ac96b77d8da4a3ec70270fa7e321b4c87c260e8021e36c19009be434e0dfb7","observation_id":"65446687-6327-4771-95b4-7ec698ff2aea","resolution":{"observed_at":"2026-08-06T12:43:40.984325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:40.667558Z","title":"Tran, and Anh Nguyen","venue":null,"work_id":"d3f212d4-6ce2-4f13-ab08-9ef0048f3a33","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.649187Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:86e1d05dd6e3da7aa424fc3616a4e1db28a7599111b1bcb1dcfa9cc74dea2a4e","observation_id":"88f2a540-e013-4968-9d94-f5c382e08d7d","resolution":{"observed_at":"2026-08-06T12:43:40.784745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:40.360024Z","title":"Music-driven group choreography","venue":null,"work_id":"246fd7e8-ad21-491e-86b6-8fb2fab28aca","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.727521Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:9093406370b92c85e9c2ec1a1e22988eabc1fafed104116da62151cdb48ce091","observation_id":"d7840ca4-b0c0-4257-97d8-ad47cb279f94","resolution":{"observed_at":"2026-08-06T12:43:40.498758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:40.157223Z","title":"Dancing to music","venue":null,"work_id":"144a24de-2525-4e3f-922f-f4701b127ee4","year":2019},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.804491Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:87ae00e44d3e95bf61b02404df97541db7b4a475e8adceb6290ba5c21e33ef7a","observation_id":"ccc504e0-d2f6-4eb9-8efd-104ef89ab2e9","resolution":{"observed_at":"2026-08-06T12:43:40.227407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.13486","last_updated":"2021-11-26T13:24:37Z","snapshot_observed_at":"2026-08-13T17:27:22.609525Z","submitted_at":"2021-11-26T13:24:37Z","title":"When Creators Meet the Metaverse: A Survey on Computational Arts","version":1},"cited_work":{"arxiv_id":"2111.13486","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.13486","snapshot_observed_at":"2026-08-06T12:43:36.206355Z","title":"When Creators Meet the Metaverse: A Survey on Computational Arts","venue":"cs.CY","work_id":"1d8d3d96-bb11-42f7-855e-8d18cf28afc0","year":2021},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.906739Z"},"links":{"cited_paper":"/paper/2111.13486","citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:816af176e9d7c0ef94e269589456f2e653dce4894d53beac34f990f90a0b1bb8","observation_id":"98e2b5f3-744d-4ce6-a0b0-880bcedf4daf","resolution":{"observed_at":"2026-08-06T12:43:36.273888Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:39.904619Z","title":"Finedance: A fine-grained choreography dataset for 3d full body dance generation","venue":null,"work_id":"96ba4df2-f6d1-4509-babd-29074cfbf0e0","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:33.986615Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:786295f881a88ceaa619baede150f61c244b47d7497931f84d281d54ac521598","observation_id":"75eb0bd4-7dfd-46c7-b14a-f4598a6e310b","resolution":{"observed_at":"2026-08-06T12:43:39.986205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:39.729016Z","title":"Lodge: A coarse to fine diffusion network for long dance gen- eration guided by the characteristic dance primitives","venue":null,"work_id":"d96b92dc-c381-4e7d-8166-8a8cd77d0efe","year":2024},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.137786Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:1361f70db054bc06d86290fc5389cf16f671b36490e974ec36c81938d7a059bf","observation_id":"9ade0fa0-09b3-45af-8018-324d5fd885d6","resolution":{"observed_at":"2026-08-06T12:43:39.821092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:39.564093Z","title":"Ai choreographer: Music conditioned 3d dance generation with aist++","venue":null,"work_id":"64bc586b-f122-4752-99cb-a73b5ff85a48","year":2021},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.242788Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:d2dc31c8d551e460ecd11cab0e43b04aed3afad8bead1bf8012c9eaeee88a2e9","observation_id":"16dff41c-206b-4010-904c-4ba92ad5efe5","resolution":{"observed_at":"2026-08-06T12:43:39.636952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:43:34.306975Z","title":"Film: Visual reasoning with a general conditioning layer","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.306975Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:b66da74138c7e5a8ac205ccd2cb9cce63d0e097389ce5b6330d02c15a10aa4c3","observation_id":"d8adffc1-35a7-4b50-8c89-79be85e1614e","resolution":{"observed_at":"2026-08-06T12:43:34.306975Z","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":"2026-08-06T12:43:39.311430Z","title":"Diffdance: Cascaded human motion diffusion model for dance generation","venue":null,"work_id":"1d7a1629-69b0-4ae3-bd43-01566acb95a8","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.398090Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:ae63a1f2697b9636b042a30a508355039d65b98c8a9e6d538267a9323027352b","observation_id":"404deec4-9418-4e3a-b653-2ec0f5809aeb","resolution":{"observed_at":"2026-08-06T12:43:39.450646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:39.133678Z","title":"Construction and optimal search of interpolated motion graphs","venue":null,"work_id":"a2d755fd-537d-4622-b665-07d6aee5505b","year":2007},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.476929Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:821a86f56fdaa313ab8e4fb23151837381496daa60c7245449551633049aaa98","observation_id":"1614ee9c-8175-450d-8055-9f95e0d29cc0","resolution":{"observed_at":"2026-08-06T12:43:39.226382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:38.921709Z","title":"Photorealistic text-to-image diffusion models with deep language under- standing","venue":null,"work_id":"6282f5ae-5314-4db1-a259-13287382051a","year":2022},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.567328Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:3d822e2de8671ead026004b3eb8390f59f36c3c385ea5e299f99195f7b6f281f","observation_id":"ec5c9c81-c503-47d9-a8b9-0c7456427d1e","resolution":{"observed_at":"2026-08-06T12:43:39.010869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:38.747466Z","title":"Deepdance: music-to-dance motion choreography with adversarial learning","venue":null,"work_id":"b3d01c35-275c-4f19-98d3-cd76fcf44ac3","year":2020},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.701651Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:b31b8e7bbfa15461c7a2b06b8978421b738caab0d33f252f8ae463a59df84dca","observation_id":"1727b1fe-d0cc-4491-a770-e0ff3c0437a9","resolution":{"observed_at":"2026-08-06T12:43:38.826248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:38.524336Z","title":"Edge: Editable dance generation from music","venue":null,"work_id":"147f329b-6328-41ca-87c9-e9aaf307729b","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.767257Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:901b5441bb7a53c09e7c8d67275c201cd7151b1b0a1d0ac1260182834afd9209","observation_id":"454e8262-f97e-445c-aea4-43fe62d15545","resolution":{"observed_at":"2026-08-06T12:43:38.635006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:38.326333Z","title":"Aist dance video database: Multi-genre, multi-dancer, and multi-camera database for dance information processing","venue":null,"work_id":"c6ce07ef-7010-4d23-9e1c-f98a5de55e15","year":2019},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.857854Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:9023d23d18725d602e60fcbfb4273ddb8a9a94a9fc245ebfe436d3b6a2f35229","observation_id":"02a39c2b-9dc6-4c4a-bda1-04c116bcf211","resolution":{"observed_at":"2026-08-06T12:43:38.415788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:38.191469Z","title":"Transflower: probabilistic autoregressive dance generation with multimodal attention","venue":null,"work_id":"0e9d4f1b-75a2-480e-9f4c-f4bca6acceba","year":2021},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:34.952675Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:8f67f99c0ec8ba6e12670bfea56ac9de33c617a5fd51f2ec838712a4c82d6861","observation_id":"f34fae1e-4bc5-438d-87b0-cd86a501e46b","resolution":{"observed_at":"2026-08-06T12:43:38.259227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10629","last_updated":"2024-10-20T14:35:31Z","snapshot_observed_at":"2026-07-06T19:33:08.264958Z","submitted_at":"2024-10-14T15:36:42Z","title":"SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10629","snapshot_observed_at":"2026-08-06T12:43:35.101620Z","title":"SANA: Efficient high- resolution image synthesis with linear diffusion transformer","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.101620Z"},"links":{"cited_paper":"/paper/2410.10629","citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:880b0cb24f833966f3d944609e25dc7fcaf54afe3c7acdc01a413566b80a085f","observation_id":"8c1b364a-a2df-403f-91a4-29316f901dd6","resolution":{"observed_at":"2026-08-06T12:43:35.101620Z","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":"2026-08-06T12:43:37.922499Z","title":"Weakly-supervised deep recurrent neural networks for basic dance step generation","venue":null,"work_id":"c2387f8c-51f3-4f1d-b497-c1cbfc168805","year":2019},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.199731Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:b5ffa4740615093ec963c5454696b418a61a81e6c1d4c33572afd4d48ea4ff91","observation_id":"eed8eeaa-83bf-45aa-a2be-f1f5616fcb8a","resolution":{"observed_at":"2026-08-06T12:43:38.051880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:37.750948Z","title":"Codancers: Music-driven coherent group dance generation with choreographic unit","venue":null,"work_id":"d90a2528-b216-4d9c-b9ee-93f2b8a6035a","year":2024},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.296236Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:4e8e78d7557047f72f5a4760aad2a0133514ad3ad987a50b9f466b8ce19873cc","observation_id":"3d3fa757-16df-4730-bcc4-3f906fe298db","resolution":{"observed_at":"2026-08-06T12:43:37.818270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:37.578879Z","title":"Dance with you: The diversity controllable dancer generation via diffusion models","venue":null,"work_id":"44b706ac-a670-481a-af5d-55d900e8964a","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.372148Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:241d188f6ca7edf7f0e261055b02f74591a6015bc74616ba81052e9a1a20d359","observation_id":"0b71bca7-4320-42e6-aec7-683a06d5619d","resolution":{"observed_at":"2026-08-06T12:43:37.638409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:37.380873Z","title":"Differential transformer","venue":null,"work_id":"28d827fa-f671-43d4-b90a-460e12838bf8","year":null},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.470878Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:304da90f1092814f9d2829210d7427cc7f5aa74f01cd862ae38b357369c13fbb","observation_id":"edf54deb-97c9-4b11-a386-066529a653b1","resolution":{"observed_at":"2026-08-06T12:43:37.450860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:37.041309Z","title":"Graph-based normalizing flow for human motion generation and reconstruction","venue":null,"work_id":"a35563ba-095f-43e9-94c3-77be25fd1fed","year":2021},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.645098Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:365407dda27d5ca0eddea830eaac771a1d8dcf4080d3a28b32f941480b893bf7","observation_id":"9ad93f12-8685-4052-9d0a-4b9b8a9a2d41","resolution":{"observed_at":"2026-08-06T12:43:37.130573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:36.792336Z","title":"Dance style transfer with cross-modal transformer","venue":null,"work_id":"925e5e93-1752-4a72-b6bd-ed07c9c42d70","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.759972Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:35e103b2a7ee7588c1547bbafd93cd6c196f055d174d960044cc7fe9c56a3af4","observation_id":"134611b7-4b4b-474e-ab68-c78bb26d3c44","resolution":{"observed_at":"2026-08-06T12:43:36.931008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.06955","last_updated":"2025-03-12T01:45:04Z","snapshot_observed_at":"2026-08-15T01:07:09.439418Z","submitted_at":"2025-03-10T06:04:31Z","title":"Motion Anything: Any to Motion Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.06955","snapshot_observed_at":"2026-08-06T12:43:35.845724Z","title":"Motion anything: Any to motion generation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.845724Z"},"links":{"cited_paper":"/paper/2503.06955","citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:05ed27cc68e797a526b3009c3c48b90096369e72d6beb720a6682788c0673dc7","observation_id":"a66bbf5f-7788-465f-8a6b-b42ff4170360","resolution":{"observed_at":"2026-08-06T12:43:35.845724Z","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":"2026-08-06T12:43:36.593693Z","title":"Informer: Beyond efficient transformer for long sequence time-series forecasting","venue":null,"work_id":"f8f599f1-6ced-46be-b551-1ea0e793c4e0","year":2021},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.961071Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:7e4fd40ed06995da88d641233aac95ebbbe03fd4da2ca0c2dac01ba873f5f6e7","observation_id":"9ec2446f-e915-4303-98d8-a492ffd1752d","resolution":{"observed_at":"2026-08-06T12:43:36.695712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:36.387571Z","title":"Human motion generation: A survey","venue":null,"work_id":"610801ca-e4ce-49ad-b89a-0a26112dd987","year":2023},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:36.088867Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:af545dc1e546c9699978c94f37dd1d414ff00536e373901cff90e851c31b68c7","observation_id":"72b0fdac-4b10-4099-a942-ab57bf9e66c5","resolution":{"observed_at":"2026-08-06T12:43:36.503435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T12:43:37.199489Z","title":null,"venue":null,"work_id":"94c02eab-9a86-48ba-8e08-61b0e712a7f9","year":null},"citing_paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:35.586301Z"},"links":{"citing_paper":"/paper/2507.21518"},"observation_digest":"sha256:c5d80122a0894a1aa20f8e71691576b5ce89598ef5f1136a411576e7b187e203","observation_id":"efd59775-34c4-4560-bb19-96bfbbf4b2cb","resolution":{"observed_at":"2026-08-06T12:43:37.314739Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.21518","last_updated":"2025-07-30T03:57:47Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-10T11:31:11.631491Z","submitted_at":"2025-07-29T05:54:48Z","title":"ST-GDance: Long-Term and Collision-Free Group Choreography from Music"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":1,"verified_fuzzy":34},"total_outbound_references":42},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.21518."}