{"as_of":"2026-08-07T01:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6d48226d339e7804878aa61a00af9a50e7054afd9aae05a915201186b6fac15","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-09T19:37:17.532483Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2605.00517/citation-record","integrity":"/paper/2605.00517/integrity","json":"/paper/2605.00517/citation-record.json","paper":"/paper/2605.00517"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lan- guage2pose: Natural language grounded pose forecasting","venue":null,"work_id":"fed99063-3a93-440d-a84e-7f52f05413ae","year":2019},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:8620e7329697adb06152bd3238db223b57d61ff4f87f7c496c00d2f147dd291e","observation_id":"86e424b8-6fe4-40d9-b440-0b7728de7ce3","resolution":{"observed_at":"2026-05-24T22:26:27.205447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"To react or not to react: End-to-end visual pose forecasting for personalized avatar during dyadic con- versations","venue":null,"work_id":"b5e36a01-be74-45f1-a670-91aab3541892","year":2019},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:38222b05e2b135a3265333125f395ba9773e55ffbcebf7ebe7496eb671febabf","observation_id":"6fbce6fc-ea36-4ab5-ac70-e9b38613e601","resolution":{"observed_at":"2026-05-24T22:26:27.209151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Socialinteractiongan: Multi-person interaction se- quence generation.IEEE Transactions on Affective Comput- ing, 14(3):2182–2192","venue":null,"work_id":"ac2b926b-01aa-417b-972d-677a2640e598","year":2022},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:4a78a23de860ac7584c3cf48959626a4bfaf50f453c4581b001ff9087a4a0dd3","observation_id":"8a5226f7-1893-479e-b637-2bf66b3cae80","resolution":{"observed_at":"2026-05-24T22:26:27.222768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Wordware Publishing, Inc","venue":null,"work_id":"920adade-831a-4c93-8333-8598d0af2b0b","year":2003},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:997a815ae4691bdb1c797035dc5c2025d8e0110b63a1f4f051f7529cc667818e","observation_id":"aa02e4d7-20fd-4fec-888b-8ca985dbdaf9","resolution":{"observed_at":"2026-05-24T22:26:27.246370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Lan- guage models are few-shot learners.Advances in neural in- formation processing systems, 33:1877–1901","venue":null,"work_id":"31578d5d-302d-4e01-8b85-c09377b8d28f","year":1901},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:da10d1d817e9dfb63565365606f128183b33a1e780e207b043e83f08ad01bd52","observation_id":"436908dc-16ff-4eef-ad54-9f997e5d0305","resolution":{"observed_at":"2026-05-24T22:26:27.259077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Digital life project: Autonomous 3d characters with social intelligence","venue":null,"work_id":"e9b2cf3b-f38d-4b51-9456-9eea50c07f74","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:fee041ab87a07345d418b5c2df8eea29c4370e5985aec55534a4b6d1704258e1","observation_id":"8bcb9786-79d3-48e2-a3fd-34c6aad451fb","resolution":{"observed_at":"2026-05-24T22:26:27.129815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Executing your commands via motion diffusion in latent space","venue":null,"work_id":"67382fdf-9476-4de3-8fbd-e2e3bdbb18e9","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:cc8cf75fd8a90ea2dae09a9c79e27f987aa42279f2323f6b4843c0db1265120d","observation_id":"67684982-7ca3-4a66-b057-740c5cb3da77","resolution":{"observed_at":"2026-05-24T22:26:27.216201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Occlusion-aware networks for 3d human pose estimation in video","venue":null,"work_id":"25e82ac5-370f-41da-a8a5-7218a4715096","year":2019},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:7b0e4b7b2e8cbea97716e25891f40a89a54b180307d7b8999a247bc3c4af8afe","observation_id":"2b719f2e-c806-4c02-ac9e-76e91e1572a3","resolution":{"observed_at":"2026-05-24T22:26:27.213089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Cg-hoi: Contact-guided 3d human-object interaction generation","venue":null,"work_id":"6b09facc-2b56-4c70-a841-719190b01819","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:00294ef5302144e40f646970a7dcddb15376752b277ef9194922373cfd2a45b3","observation_id":"fc3327a1-5c3d-4449-9c59-f0a6489064a4","resolution":{"observed_at":"2026-05-24T22:26:27.219355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Generating diverse and natural 3d human motions from text","venue":null,"work_id":"348d8ca6-d90c-4841-ae24-94189cd0ccf3","year":2022},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:1033346c448f1aeb01d0d064f61f0f2f67d9500aaefd33ef7793e8dde582740b","observation_id":"c8ac6c29-75f8-40ca-bf53-729905e23ec8","resolution":{"observed_at":"2026-05-24T22:30:02.975839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts","venue":null,"work_id":"04006a91-099b-49c2-ae69-2cd5eca1ba75","year":2022},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:727e4673c1c72cdaf7bb9b8dbd7672ac3ac002c533da0a675dbb753523a580f7","observation_id":"1083a588-824f-46ab-ad7a-958d8e79a9e1","resolution":{"observed_at":"2026-05-24T22:30:02.960266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Resolving 3d human pose ambigui- ties with 3d scene constraints","venue":null,"work_id":"9ac22064-b88f-4380-9c74-1ba2dbbf46da","year":2019},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:2ac4e467040986cf0b3d6b827040964c2daae5a45207a7b70768124c72721ae4","observation_id":"c29c96c4-6c58-4cb2-a377-ad44b9a9fd96","resolution":{"observed_at":"2026-05-24T22:30:02.964329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":"2207.12598","doi":"10.1109/cvpr52733.2024.02494","metadata_source":"pith","pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Classifier-Free Diffusion Guidance","venue":"cs.LG","work_id":"acf2c588-c088-4a6c-938e-150ad7c666d7","year":2022},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:321968f4a5a866bc68e83f1be5ab85e8cd72c3bea5d99a33eb9150134a9fb316","observation_id":"f9e9b572-2a22-4cf2-9bce-39d3219c77d4","resolution":{"observed_at":"2026-05-11T15:36:07.275619Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Modeling multiple normal action representations for error detection in procedural tasks","venue":null,"work_id":"570f4660-5362-4d3a-8629-0409746b79dd","year":2025},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:4ea5dfccbadd2355346c59961c31d1fa4d0e85481eec8f2b75a31f9214af4f2d","observation_id":"e7090afd-b53e-41a1-8251-672ecde7a1fe","resolution":{"observed_at":"2026-05-24T22:30:02.971784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.09518","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T04:49:34.782398Z","title":"Learning whole-body human-humanoid interac- tion from human-human demonstrations","venue":null,"work_id":"bc92c21f-41e9-4372-9782-54e7f145d1c0","year":2026},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:dc55dfa0bc5e29728f896fad74406247505191f4b52c19ea48ccfe1fd365df5b","observation_id":"e68c682f-d2ff-4f9b-800f-d55da368a513","resolution":{"observed_at":"2026-05-11T15:36:07.234085Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10010","last_updated":"2025-03-02T07:42:20Z","snapshot_observed_at":"2026-07-06T19:32:42.378146Z","submitted_at":"2024-10-13T21:11:04Z","title":"InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling","version":3},"cited_work":{"arxiv_id":"2410.10010","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.10010","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Intermask: 3d human interaction genera- tion via collaborative masked modeling","venue":null,"work_id":"25285cb4-a17e-4ca9-b9e4-571c9163c643","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"cited_paper":"/paper/2410.10010","citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:c7953c7294427a9ff3232350b7edc0c69df3fd18a3a182dbafc775ac7aba535a","observation_id":"8f1b976b-5ed3-4e42-9bde-6c49b158ecac","resolution":{"observed_at":"2026-05-11T15:36:07.210623Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Hand-object contact consistency reasoning for human grasps generation","venue":null,"work_id":"d65c6a96-e381-4842-a586-5f636fc5720a","year":2021},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:7aef0516d42d720b7b0cf6600af16047967374f28f375193653be3e9a55c6bf6","observation_id":"db39ee84-1766-4754-9b4d-ba2b50b25521","resolution":{"observed_at":"2026-05-24T22:30:02.984196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Coherent reconstruction of multiple humans from a single image","venue":null,"work_id":"324c8c79-1b17-4c72-9736-b10393ab2293","year":2020},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:d4be0c085b6f094ac642b14404dd44f2514f2c714dc30df5c38f0392a87abca3","observation_id":"59dbd031-7895-404d-9ab8-245ab6b7333d","resolution":{"observed_at":"2026-05-24T22:30:02.943051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Flame: Free- form language-based motion synthesis & editing","venue":null,"work_id":"4e2b120a-b507-4d11-95d5-2c2b7a894afd","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:9640b69adc7711df724e8379e03c7be1d08d6dfa5fa06bb525156d8d12adf4d2","observation_id":"d2b33a5c-b73a-4151-95eb-ec64ac51d5bd","resolution":{"observed_at":"2026-05-24T22:30:02.947239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Auto-encoding vari- ational bayes","venue":null,"work_id":"bd7571ea-077c-4500-abe6-86e819399d4a","year":2013},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:7d617acc282cf5bb2ddb64733d839ac8f7fb5704dcecce4b32cf33338d782900","observation_id":"75364bfe-10a3-4690-a19c-56eeacefab0b","resolution":{"observed_at":"2026-05-24T22:30:03.014759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.10730","last_updated":"2026-07-04T09:34:06Z","snapshot_observed_at":"2026-08-06T22:04:38.705956Z","submitted_at":"2025-12-11T15:16:06Z","title":"IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation","version":2},"cited_work":{"arxiv_id":"2512.10730","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.10730","snapshot_observed_at":"2026-07-07T03:17:15.484473Z","title":"Irg-motionllm: Interleaving motion generation, assessment and refinement for text-to-motion generation","venue":null,"work_id":"bd4c8182-092c-408c-bb1e-2dd2a942e872","year":2025},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"cited_paper":"/paper/2512.10730","citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:70de892f8539f308914676706b8428a04ef3463994e190664d0d06f15dbd8fbd","observation_id":"02ef9edf-2da4-4b9e-ae42-f3ac17fb813e","resolution":{"observed_at":"2026-07-07T03:17:15.484473Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Intergen: Diffusion-based multi-human motion genera- tion under complex interactions.International Journal of Computer Vision, 132(9):3463–3483","venue":null,"work_id":"437051f0-eebd-4d86-b0e4-281e94a421ff","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:7f4c2edf61b122cba0a5b8c7443f1c1e6fdba875ea756c50355ca55573947916","observation_id":"1bfc4ce5-d719-4954-8105-ec647115dcee","resolution":{"observed_at":"2026-05-24T22:30:02.935095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":"1711.05101","doi":"10.1137/1.9781611972825.47","metadata_source":"pith","pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decoupled Weight Decay Regularization","venue":"cs.LG","work_id":"07ef7360-d385-4033-83f7-8384a6325204","year":2017},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:a97b7c48c481d454af3f60ff4467022227d3bfe4b60a515ba7a5e208c49c7d71","observation_id":"6a319e2e-40b4-43ea-9b4e-479c41ab8f9f","resolution":{"observed_at":"2026-05-11T15:36:07.256202Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"John Wiley & Sons","venue":null,"work_id":"ed78b84f-21ea-411d-be9f-6f2536d27fee","year":2005},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:12e3d698b397645d5f70f6a9620b29af1e6dca9b9f5ae9b548d5205175f3ebcf","observation_id":"1eda5086-7c61-493d-93b5-189004810786","resolution":{"observed_at":"2026-05-24T22:30:02.931247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Amass: Archive of motion capture as surface shapes","venue":null,"work_id":"1f7950d7-2ace-4043-94fe-dac4c17eb4bf","year":2019},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:061b0d84d797c8f0769b93b28f685dc55bdbf94e4c22593da575e47827dcafff","observation_id":"3af2ace7-b203-477a-aba4-121151cda8c6","resolution":{"observed_at":"2026-05-24T22:30:02.939253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"librosa: Audio and music signal analysis in python","venue":null,"work_id":"76f1ca2f-0a69-4458-9974-2f6a88ba8ad5","year":2015},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:034b286b985a14934c35e8107371c7ec224a0866d05e8dfd6c6e0f92334ffd97","observation_id":"49d19c8d-7448-4355-8a51-8111314dd2e1","resolution":{"observed_at":"2026-05-24T22:30:02.951228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-10T03:36:44.476283Z","title":"Improved denoising diffusion probabilistic models","venue":null,"work_id":"32db0798-4e73-487b-9a8b-499b596bfd8c","year":null},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:20b81c9b685cdcfec5c45981746e3d7442afc26ccdbab18e9222d097672696f1","observation_id":"c6b12765-36e5-444b-8247-55ed09a098b8","resolution":{"observed_at":"2026-05-24T22:30:02.955097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Newnes","venue":null,"work_id":"f9120fac-931a-4db2-a812-83845dc279a1","year":2012},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:9e3bc8500a3ce27a4488dac5835aa244c661b7b0d55168b25dd4a86aa3838efe","observation_id":"0f2023a8-4165-44fa-ad00-583c190ba5d2","resolution":{"observed_at":"2026-05-24T22:30:02.968006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Expressive body capture: 3d hands, face, and body from a single image","venue":null,"work_id":"146302e3-04b2-4da9-8ccc-5eeabc9705d2","year":2019},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:f757afe4815703bc281311110c3f2eb72e2257c87841eddd48be26191c746fc8","observation_id":"e48c7803-8f05-4369-87c8-5fcd0a4f7d67","resolution":{"observed_at":"2026-05-24T22:30:02.980170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Hoi-diff: Text-driven synthe- sis of 3d human-object interactions using diffusion models","venue":null,"work_id":"6bf2ac9e-04d7-444f-99ae-987c0e987889","year":null},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:fe9888e965c9988bd6590ed46bf911008397e2483ba91d201e330d5b9f966272","observation_id":"25258a28-0f94-4a09-9ef7-ce1f31e61bfe","resolution":{"observed_at":"2026-05-24T22:30:02.996206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Temos: Generating diverse human motions from textual descriptions","venue":null,"work_id":"adcd5244-2acd-4c0d-b494-5978180f3530","year":null},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:b069c07d5626de8835b52d22ff86b54c6e5e5b030287cdc43b38e911de823bbf","observation_id":"517cbd5c-eed2-4a51-878e-a4190b7f9136","resolution":{"observed_at":"2026-05-24T22:30:02.999917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Introduction to game development.(No Title)","venue":null,"work_id":"5c411949-dfe7-4bbd-8cf7-5df83763687c","year":null},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:4f00042ca8f648a7c629a1a61c62e5d78b8f77b69286473be7d0014a346d44cd","observation_id":"5bc249d0-48dc-48e2-a0fd-49790ed294f8","resolution":{"observed_at":"2026-05-24T22:30:03.003640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"in2in: Leveraging individual information to generate human interactions","venue":null,"work_id":"b482336b-2728-4cef-9473-fe7decf1b1ca","year":1941},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:c3aacd1d96dc7ab2b3ae0170e51ce8db820b4e3f8e227ad5aeb6975431dd5273","observation_id":"5189c260-f133-407d-8f96-3d8d36f00205","resolution":{"observed_at":"2026-05-24T22:30:03.007279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Intelligent robotic control.IEEE Transac- tions on Automatic Control, 28(5):547–557","venue":null,"work_id":"aaac7e08-075e-4666-aadd-a01a3dbb391c","year":2003},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:d49b2034e8e653ddaf0a43ce4b07e3dd36d9f92bba8194c74b5463dbb1fc3338","observation_id":"9dc755e6-a382-4157-affa-a5d06059392c","resolution":{"observed_at":"2026-05-24T22:30:03.011164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.01418","last_updated":"2023-08-30T04:41:10Z","snapshot_observed_at":"2026-08-04T22:38:03.106382Z","submitted_at":"2023-03-02T17:09:27Z","title":"Human Motion Diffusion as a Generative Prior","version":3},"cited_work":{"arxiv_id":"2303.01418","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.01418","snapshot_observed_at":"2026-07-10T16:17:21.705577Z","title":"Human motion diffusion as a generative prior","venue":"cs.CV","work_id":"ea88c49f-ba30-451c-8ec7-5be980885989","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"cited_paper":"/paper/2303.01418","citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:f9715f8217398c767f56d660f7941527437b563241327d949ae770afeb3c7100","observation_id":"b434c351-818e-4603-a437-4baed969739e","resolution":{"observed_at":"2026-05-11T15:36:07.201259Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Towards open domain text-driven synthesis of multi-person motions","venue":null,"work_id":"f25f4921-b06f-48ff-a3e1-a2bcb1707eaa","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:3c42e0d3bddd180a587c10db0ab959ab460d06d7a52d5620e503e994ed55cad6","observation_id":"19bb98a9-bbc6-424e-be82-380cb7093a53","resolution":{"observed_at":"2026-05-24T22:30:02.988033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-07-06T10:01:50.133383Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":"2010.02502","doi":"10.48550/arxiv.2010.02502","metadata_source":"pith","pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Denoising Diffusion Implicit Models","venue":"cs.LG","work_id":"8fa2128b-d18c-405c-ac92-0e669cf89ac0","year":2020},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:0c0f1bc89534f82fa5dbf67d50aa719eb5e2fa6cd7d1478d3594db80920229ce","observation_id":"b1435d58-42b4-409f-80b5-c9dcd76f6627","resolution":{"observed_at":"2026-05-11T15:36:07.219350Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-12T13:49:41.147667+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T13:49:41.147667+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Motionclip: Exposing human motion generation to clip space","venue":null,"work_id":"48d606e0-46f0-4265-bb80-6fa077a044cd","year":2022},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:a9a6f1e120c613d7fc33d457b7dec05ea15331212c2587a807ced0135b78275d","observation_id":"8a97d159-500b-4379-aa80-67a4f93280b1","resolution":{"observed_at":"2026-05-24T22:26:27.207489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14916","last_updated":"2022-10-03T09:17:41Z","snapshot_observed_at":"2026-07-06T13:57:50.746457Z","submitted_at":"2022-09-29T16:27:53Z","title":"Human Motion Diffusion Model","version":2},"cited_work":{"arxiv_id":"2209.14916","doi":"10.48550/arxiv.2209.14916","metadata_source":"pith","pith_arxiv_id":"2209.14916","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Human Motion Diffusion Model","venue":"cs.CV","work_id":"3da17802-4f2d-42ac-842b-a8bc085ae626","year":2022},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"cited_paper":"/paper/2209.14916","citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:baceeb13114623c125c5d63016f19657a26292de5b7d2369f6b72072f8125f89","observation_id":"1f3b56d9-ede2-4537-987e-0172d09739fb","resolution":{"observed_at":"2026-05-15T03:23:30.489308Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Gaze-guided hand- object interaction synthesis: Dataset and method","venue":null,"work_id":"87a12be4-798c-4c90-a9a6-253a0109796d","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:0abb94fd4f7569c57bad8c02ec3685d0f65636350cbf9c92c76143de9e2f94c1","observation_id":"7e443311-12a4-4c7d-bbf1-517e409aacaa","resolution":{"observed_at":"2026-05-24T22:26:27.195671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Attention is all you need.Advances in neural information processing systems, 30","venue":null,"work_id":"ce442eb1-064e-4c76-baf7-bc56ed9c0db9","year":2017},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:c71cb9a18d81418669789a52184d4a20c5f60d5fd53cc4f95181feca5a95d0a7","observation_id":"92941c95-1beb-48e5-a14f-1bbc69383bce","resolution":{"observed_at":"2026-05-24T22:30:02.992097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"To- wards domain generalization for multi-view 3d object detec- tion in bird-eye-view","venue":null,"work_id":"a9c0e705-a4fb-4552-b577-4366d9e0bd74","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:1791d4b4a06a7c6981b541ad87070c98e5b6193acbafbbf8b75fcb68e451f0ab","observation_id":"4fcb8efa-ca19-4c84-a289-d6198839274b","resolution":{"observed_at":"2026-05-24T22:26:27.270321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Timotion: Temporal and in- teractive framework for efficient human-human motion gen- eration","venue":null,"work_id":"b690803a-ea9c-4d54-a8fb-635f6bd295de","year":2025},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:3a465dc03c284a021c8bcb35440f59f4043ed9f315daaa861290118d4e22d933","observation_id":"99bc4812-a1ee-4516-a98e-8c015a5e4f0e","resolution":{"observed_at":"2026-05-24T22:26:27.266709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Actformer: A gan-based transformer towards general action-conditioned 3d human motion gener- ation","venue":null,"work_id":"65d9a81c-976f-4aa7-be01-e4f2b30c88d0","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:7cdd413964f1fb6b18bd8b8fae875ad3597f31ed47573047ce03e5b0208f2213","observation_id":"d88afa1b-c152-408e-9935-67b81e85c27a","resolution":{"observed_at":"2026-05-24T22:26:27.273947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Inter-x: Towards versatile human- human interaction analysis","venue":null,"work_id":"edbdf03b-7d36-4a58-acc3-b7f8dbdbd35f","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:ec74f212fdf1839f2a95717442d4b2e91da7f622cde14cf15f2e0c2447269244","observation_id":"9dbfcfac-9fcc-42f9-8e7d-daed0eefdd38","resolution":{"observed_at":"2026-05-24T22:26:27.178261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Regennet: Towards human action-reaction synthesis","venue":null,"work_id":"5fd5ee92-d555-435b-801c-9b4a3e8230ef","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:95048b59b9c3e32b1a16367139ea5c46d0708d36f030df3ed99d5f80af68b557","observation_id":"4498bf4d-5659-4f1f-9be0-7d0c8cdee85c","resolution":{"observed_at":"2026-05-24T22:26:27.174137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Light-t2m: A lightweight and fast model for text- to-motion generation","venue":null,"work_id":"ac6044a6-b41b-4ef7-8c73-6ca9e4b145fa","year":2025},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:2426df0d19199afcb75e62d8b636b4b6bc8c7f6a2c277bacd2762e5eb8b49e92","observation_id":"410b01b3-708a-40b9-815e-24353c6bdfb1","resolution":{"observed_at":"2026-05-24T22:26:27.182563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Progressive human motion generation based on text and few motion frames.TCSVT","venue":null,"work_id":"0ad6f642-ae79-4d68-a6be-f0f184f1cbd3","year":2025},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:8d1ba85fbfc7f22c5ff0530071bfc2b3b6e9f1a83bf009301a6ab82320f70bfe","observation_id":"9615ba72-f311-484a-a177-2fce9c2be60e","resolution":{"observed_at":"2026-05-24T22:26:27.249772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Re- modiffuse: Retrieval-augmented motion diffusion model","venue":null,"work_id":"dff355fc-c252-4898-9752-a1385c2380dd","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:f2fa9ab3b925fae5b48c0095a6963f2968b3f3b0bf3e00bb6a99f5e8aebea6d7","observation_id":"1b6c2fbf-6336-4995-a763-54b5573e7dc2","resolution":{"observed_at":"2026-05-24T22:26:27.253031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Motiondif- fuse: Text-driven human motion generation with diffusion model.IEEE transactions on pattern analysis and machine intelligence, 46(6):4115–4128","venue":null,"work_id":"bd50e783-d4ab-4d19-9623-88ea9920cf4b","year":2024},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:7ddc939c1232acfb53ffd15e9f42b6f2cb9861fc3b92140bcaffa8a47d157c71","observation_id":"3a6444a8-1b6a-45c9-aeb0-62d30791143a","resolution":{"observed_at":"2026-05-24T22:26:27.263100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Diffgrasp: Whole-body grasping synthesis guided by object motion us- ing a diffusion model","venue":null,"work_id":"83b0fa80-e069-447f-950c-56c73120afc6","year":2025},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:00e5464580ca7121280c3d42902934842888ac67bfb9e02e494aee749a221d82","observation_id":"f9768158-fdf3-4629-983f-064e670b9aca","resolution":{"observed_at":"2026-05-24T22:26:27.232558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Compositional human-scene interaction synthe- sis with semantic control","venue":null,"work_id":"ba2ea33d-b6fd-4b27-a325-b26271ca1a22","year":2022},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:3d1bdeee27f6e059adbbef23e091c6d4bbecdbc605a304d12b74902195c30451","observation_id":"417d1a69-a6ca-4a72-8176-2cd6748ac666","resolution":{"observed_at":"2026-05-24T22:26:27.236025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Synthesizing diverse human motions in 3d in- door scenes","venue":null,"work_id":"0012c323-1e76-4ca0-bec4-447cac5c44ee","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:8f7cf7587e5282ef7e8470f632c371d12c154f5cc8ab4cfe067098e98e8c4b74","observation_id":"f72e6501-cac3-49fe-bb7a-8d43fad2b1bd","resolution":{"observed_at":"2026-05-24T22:26:27.226002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":"2303.18223","doi":"10.18653/v1/d16-1080","metadata_source":"pith","pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Survey of Large Language Models","venue":"cs.CL","work_id":"de1b42b5-4a0a-4b1f-8c78-1f7fe21be6c9","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:6677a2055076a461cdd288a0d07b32a2c9c72b053684f5b90fc9556285ee5ace","observation_id":"c3a20e37-6097-4e71-9583-b160f8c75a54","resolution":{"observed_at":"2026-05-11T15:36:07.191909Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Attt2m: Text-driven human motion generation with multi-perspective attention mechanism","venue":null,"work_id":"cd009a97-d7a9-4431-b76c-20e84c40a12d","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:b14e7eaab66e2ac089fcddcf930d006e8ba0aa4dce4a6b3c577bef90ded05036","observation_id":"6a374309-7fad-4cb4-9d26-1f8b4b2a7ff0","resolution":{"observed_at":"2026-05-24T22:26:27.229282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Attt2m: Text-driven human motion generation with multi-perspective attention mechanism","venue":null,"work_id":"0dd5eb06-a3ba-44d9-910a-9adafe642994","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:1ce3d1977c8993ab9d6d7009cddd50d498e2adb2912521a1ecc3110c56d5805a","observation_id":"027ad272-a8a3-44d9-b1f3-4c101ac47dcd","resolution":{"observed_at":"2026-05-24T22:26:27.239162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"One bends down and then the other notices and helps them up. Both of them communicate with each other and finally leave together","venue":null,"work_id":"f10e5686-1b33-4588-8edf-54ced1f42fa7","year":2023},"citing_paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-09T19:37:17.532483Z"},"links":{"citing_paper":"/paper/2605.00517"},"observation_digest":"sha256:7ea77c250bf43177780074c4281a36fd65c3413ea2b7b5bd56e125b3997871b8","observation_id":"c0412492-9ba6-42d2-a162-843b8ea490d1","resolution":{"observed_at":"2026-05-24T22:26:27.242793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.00517","last_updated":"2026-05-01T08:43:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T21:36:47.489814Z","submitted_at":"2026-05-01T08:43:16Z","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":9,"verified_fuzzy":48},"total_outbound_references":57},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2605.00517."}