{"as_of":"2026-08-16T00:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b85098551242f52de5d2aacef5a6164cf5042e7844b5cda52309f1c26fd4084f","coverage":[{"denominator":146,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:38:25.052337Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:21:47.769148Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T23:31:22.005096Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20104","snapshot_observed_at":"2026-08-07T13:21:47.769148Z","title":"Syncdiff: Synchronized motion diffusion for multi-body human-object interaction synthesis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22141","last_updated":"2025-08-27T16:33:34Z","snapshot_observed_at":"2026-08-10T20:19:26.392892Z","submitted_at":"2025-05-28T09:04:00Z","title":"FaceEditTalker: Controllable Talking Head Generation with Facial Attribute Editing","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:21:47.769148Z"},"links":{"cited_paper":"/paper/2412.20104","citing_paper":"/paper/2505.22141"},"observation_digest":"sha256:a2778443f295e645c0bc6fb814bb1e84e74e2e8326b0a89128dc822f159edd5a","observation_id":"c39e99a0-9789-4cee-86c4-48b47dde5924","resolution":{"observed_at":"2026-08-07T13:21:47.769148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"cited_work":{"arxiv_id":"2412.20104","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.20104","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Syncdiff: Syn- chronized motion diffusion for multi-body human-object interaction synthesis","venue":null,"work_id":"aeb205f7-5986-444a-af8c-b07189f4324c","year":2024},"citing_paper":{"arxiv_id":"2512.09646","last_updated":"2026-04-08T15:03:02Z","snapshot_observed_at":"2026-08-11T07:14:41.090718Z","submitted_at":"2025-12-10T13:40:24Z","title":"VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-16T23:30:14.969895Z"},"links":{"cited_paper":"/paper/2412.20104","citing_paper":"/paper/2512.09646"},"observation_digest":"sha256:99d930a3b10af3715b3ff9ff0af2c1270cfcfd8bd1fed3053192ff870a11f48a","observation_id":"80aaf7f1-fd57-4d4a-8d89-c16644ae4ae0","resolution":{"observed_at":"2026-05-16T23:31:22.008103Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.20104/citation-record","integrity":"/paper/2412.20104/integrity","json":"/paper/2412.20104/citation-record.json","paper":"/paper/2412.20104"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:38:22.279548Z","title":"Spectral synchronization of multiple views in se(3)","venue":null,"work_id":null,"year":1963},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.279548Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:80d0f844c4b45d0e88c5b4670dac8f9b2fe488531997415788a4ec133fcfcc9c","observation_id":"9d13a925-3939-48b3-8ef4-7c1b5db5114e","resolution":{"observed_at":"2026-08-10T23:38:22.279548Z","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":"2026-08-10T23:38:22.287667Z","title":"Petrov, Cris- tian Sminchisescu, Christian Theobalt, and Gerard Pons- Moll","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.287667Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:d2f8c6b0f0db77e5815ed8a0c391dd93e4462d90c2968f4eb83355ea3a611795","observation_id":"4173db98-6a40-40ef-9b5e-496baee85e38","resolution":{"observed_at":"2026-08-10T23:38:22.287667Z","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":"2026-08-10T23:38:22.296142Z","title":"Contactdb: Analyzing and predicting grasp contact via thermal imaging","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.296142Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:d86ba8860bb598ae0b706291db492e138ed93462dedbde2500c0af8d00c780ba","observation_id":"d6a83340-bd80-4e03-a7de-4e633d936950","resolution":{"observed_at":"2026-08-10T23:38:22.296142Z","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":"2026-08-10T23:38:22.305064Z","title":"Contactpose: A dataset of grasps with object contact and hand pose","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.305064Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:e22c49006f284f42714118c128d69079ea7cea8f296e6262f71f1f128ab80cd4","observation_id":"0c58459d-a036-49b3-93cb-9889f013b16c","resolution":{"observed_at":"2026-08-10T23:38:22.305064Z","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":"2026-08-10T23:38:22.326953Z","title":"Text2hoi: Text-guided 3d motion generation for hand-object interaction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.326953Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:0f411c9d1088fd481e83c298a20049e5aae39ba795b3e69444e72374be74535d","observation_id":"09c79db2-1ddc-4a3d-ab70-ea6330d0c852","resolution":{"observed_at":"2026-08-10T23:38:22.326953Z","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":"2026-08-10T23:38:22.345980Z","title":"Dexycb: A benchmark for capturing hand grasping of objects","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.345980Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:2cf4548b95a8caf1658f73998f88ff0a485e10e0ac510fdec741051a0f77580a","observation_id":"fa6a80c5-db10-4d15-b414-33366771c8c9","resolution":{"observed_at":"2026-08-10T23:38:22.345980Z","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":"2026-08-10T23:38:22.387816Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.387816Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:8704b9c0d7e4247c6a7c7c1ead61be1cd5634a4dba2eb05a4630b0e54b80c564","observation_id":"80520b92-eb3f-4324-9875-753f963d23ce","resolution":{"observed_at":"2026-08-10T23:38:22.387816Z","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":"2026-08-10T23:38:22.413593Z","title":"Karen Liu","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.413593Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:1ec1cbb24a0c06e0022182dae75c9b82a9007455190d43bbe0de4d698e78334a","observation_id":"5fa8aaff-5ce5-44c8-91b0-ea58871f6ecb","resolution":{"observed_at":"2026-08-10T23:38:22.413593Z","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":"2026-08-10T23:38:22.439083Z","title":"Distributed adaptive attitude control for networked underactuated flexible space- craft","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.439083Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:a0dc3505a507a260a34bb2124b340007961b2e657c039ebf53a015c3f4355643","observation_id":"24abd065-3fce-4721-b7cb-93f0ea3ed996","resolution":{"observed_at":"2026-08-10T23:38:22.439083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.02938","last_updated":"2021-09-15T04:03:34Z","snapshot_observed_at":"2026-08-13T18:33:10.202093Z","submitted_at":"2021-08-06T04:43:13Z","title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.02938","snapshot_observed_at":"2026-08-10T23:38:22.488101Z","title":"Ilvr: Conditioning method for denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.488101Z"},"links":{"cited_paper":"/paper/2108.02938","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:cd562c4109ec82fdaeda85c3004587229df3f8902400a030c08fb7d4259d7d87","observation_id":"24f1078a-6c01-4798-90e0-68b4a452858f","resolution":{"observed_at":"2026-08-10T23:38:22.488101Z","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":"2026-08-10T23:38:22.522760Z","title":"D-grasp: Physically plausible dynamic grasp synthesis for hand- object interactions","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.522760Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:9045e18015878b015a397ec47a12f7cb987b5bdd636d11085c385d81f787bb07","observation_id":"01707a7c-0419-4506-a824-98afa291d461","resolution":{"observed_at":"2026-08-10T23:38:22.522760Z","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":"2026-08-10T23:38:22.559853Z","title":"Learning human-to-robot handovers from point clouds","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.559853Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:50218e9da7e7cbb3effbc7f9bfda607a2d01e273e4b916c257ba1fb7b2170c71","observation_id":"d4ea1a4e-d37c-439d-bbda-882b8cde5cac","resolution":{"observed_at":"2026-08-10T23:38:22.559853Z","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":"2026-08-10T23:38:22.583006Z","title":"Diffh2o: Diffusion-based synthesis of hand-object interactions from textual descriptions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.583006Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:ae279d21586b088cfb4c98a9ff9274e5a73646d6c522d169b549750ee22d2e50","observation_id":"9b1b95a0-70f1-4d7b-9009-ffe82409de71","resolution":{"observed_at":"2026-08-10T23:38:22.583006Z","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":"2026-08-10T23:38:22.599566Z","title":"Semgeomo: Dynamic contextual human motion generation with semantic and geometric guidance, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.599566Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:99ba7a0bb98098a38f43d40e73d78d0b36835f724b77ef487a2e57001428c003","observation_id":"cd334951-4be5-43f0-bb37-8882a82e61d7","resolution":{"observed_at":"2026-08-10T23:38:22.599566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.20502","last_updated":"2024-09-30T17:02:13Z","snapshot_observed_at":"2026-08-13T06:45:49.082684Z","submitted_at":"2024-09-30T17:02:13Z","title":"COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.20502","snapshot_observed_at":"2026-08-10T23:38:22.626801Z","title":"Col- lage: Collaborative human-agent interaction generation us- ing hierarchical latent diffusion and language models.arXiv preprint arXiv:2409.20502, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.626801Z"},"links":{"cited_paper":"/paper/2409.20502","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:b9a49c850fc897454a5ec605d1934b8d0500ce83131b490ca4194ce968d22664","observation_id":"810d49ab-1de4-45dc-9e6b-b4dae77a4678","resolution":{"observed_at":"2026-08-10T23:38:22.626801Z","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":"2026-08-10T23:38:22.652766Z","title":"Chen, and Fr´edo Durand","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.652766Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:0303b5b40bee330bf6db25d865fe8e1442ec66fca7043566fd8e2240c7602c2a","observation_id":"9aefaa25-f579-4ad1-93d5-c89910ed43e1","resolution":{"observed_at":"2026-08-10T23:38:22.652766Z","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":"2026-08-10T23:38:22.674432Z","title":"Visual vibration analysis","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.674432Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:bbad5e63b19d08684d90de6af742779dac9abff6fd8d72d44e579aa0412a44af","observation_id":"4e9270ff-b12d-441a-acc1-fb3bb0a3241f","resolution":{"observed_at":"2026-08-10T23:38:22.674432Z","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":"2026-08-10T23:38:22.705164Z","title":"Diffusion models beat gans on image synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.705164Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:999337a6cf43c1f1f845c697758cbdffeec8fe446001f873254a220a0360bc0f","observation_id":"8f4746f7-726c-45fc-b3f0-b17cc433a9d6","resolution":{"observed_at":"2026-08-10T23:38:22.705164Z","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":"2026-08-10T23:38:22.734195Z","title":"Wind projection basis for real-time animation of trees","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.734195Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:0b59b996a5dafbb95fcf8586b273c4eef6dff2be142824ed10858caa5b151b80","observation_id":"8d7f2913-db25-4bfe-9ace-a38355293835","resolution":{"observed_at":"2026-08-10T23:38:22.734195Z","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":"2026-08-10T23:38:22.752149Z","title":"Cg-hoi: Contact-guided 3d human-object interaction generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.752149Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:228c86da6b62a1c15684edbd5af2747b53aa896b8a1d25a05546a54577f5bb0b","observation_id":"5f5a0494-0f13-4582-9628-c9a9ac799da5","resolution":{"observed_at":"2026-08-10T23:38:22.752149Z","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":"2026-08-10T23:38:22.761879Z","title":"Arctic: A dataset for dexterous bimanual hand- object manipulation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.761879Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:61b228708d8f9a41442023d532fc1104260adb307dc3f30f8ae03cfcdde03437","observation_id":"27225c83-7601-4c10-97c1-786833b09fea","resolution":{"observed_at":"2026-08-10T23:38:22.761879Z","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":"2026-08-10T23:38:22.767345Z","title":"Eigenactor: Variant body-object interac- tion generation evolved from invariant action basis reason- ing, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.767345Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:4de43b900df16555a471345e22af85a4e9c9dfc2937ed651302a4bd2ba49952d","observation_id":"1ecce9e8-8869-4f82-a3ca-c51c1d5f09e6","resolution":{"observed_at":"2026-08-10T23:38:22.767345Z","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":"2026-08-10T23:38:22.778896Z","title":"Physics-based dexterous manipulations with esti- mated hand poses and residual reinforcement learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.778896Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:43c39252223cd72f04dfe96325d5f27675da3a7a245786477b44d965fd6d3655","observation_id":"f86d79b1-bc18-4b4d-b0c8-f58ad1ffd665","resolution":{"observed_at":"2026-08-10T23:38:22.778896Z","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":"2026-08-10T23:38:22.788993Z","title":"Imos: Intent- driven full-body motion synthesis for human-object inter- actions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.788993Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:40333692f1d2bf0afd6ad05c9938ff06ede0db76771931e6e4a42aabac093fdc","observation_id":"882b09d3-2bf9-482a-82f9-97858cf7ebca","resolution":{"observed_at":"2026-08-10T23:38:22.788993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.05905","last_updated":"2019-01-29T12:10:47Z","snapshot_observed_at":"2026-08-01T15:24:35.515954Z","submitted_at":"2018-12-13T04:44:29Z","title":"Soft Actor-Critic Algorithms and Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.05905","snapshot_observed_at":"2026-08-10T23:38:22.824753Z","title":"Soft actor-critic algorithms and applications","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.824753Z"},"links":{"cited_paper":"/paper/1812.05905","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:1dabff2330c62b3f65762fb2b730eea0385c00995a8e757422186fcfcefdad4e","observation_id":"2f026d73-5598-4f44-9fc8-4274bfd7a134","resolution":{"observed_at":"2026-08-10T23:38:22.824753Z","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":"2026-08-10T23:38:22.867657Z","title":"Honnotate: A method for 3d annotation of hand and object poses","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.867657Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:3ff94a62b513deb78505a780a07ff77b45dfb5e0e8ee8f1f9f462a6159a8d991","observation_id":"08121750-b913-4bc9-8b8d-36db8d3cecb6","resolution":{"observed_at":"2026-08-10T23:38:22.867657Z","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":"2026-08-10T23:38:22.905213Z","title":"Stochas- tic scene-aware motion prediction","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.905213Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:bd9de41dc016f2b619d6440393eefb9b2e7705ede86d5878d6193a43af0151b7","observation_id":"33beb095-e6c2-45b6-a860-52a8f168627b","resolution":{"observed_at":"2026-08-10T23:38:22.905213Z","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":"2026-08-10T23:38:22.975906Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:22.975906Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:46d4a5a7bc021e6a84e9af564a346fff66c328c5a3b565457e5b110a04616068","observation_id":"4309aeed-eb25-4a94-abf3-34ef9f6c1211","resolution":{"observed_at":"2026-08-10T23:38:22.975906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-10T23:38:23.011296Z","title":"Classifier-free diffusion guidance","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.011296Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:486d3b989328c0cbdf3c7e95e2ef6bcbd0d3c16995f317ae6cad4e25c10bd058","observation_id":"2586f2b6-2379-4b3d-ad20-138e9757b3b9","resolution":{"observed_at":"2026-08-10T23:38:23.011296Z","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":"2026-08-10T23:38:23.048396Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.048396Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:6f1e588c21d17c33f263a4a42b31372fb2c5c7f95cd063f05f56faec8b850bd1","observation_id":"e281f6fc-5c51-40bf-8d18-f439ec1afe10","resolution":{"observed_at":"2026-08-10T23:38:23.048396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02303","last_updated":"2022-10-05T14:41:38Z","snapshot_observed_at":"2026-07-06T13:59:57.800591Z","submitted_at":"2022-10-05T14:41:38Z","title":"Imagen Video: High Definition Video Generation with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02303","snapshot_observed_at":"2026-08-10T23:38:23.067112Z","title":"Ima- gen video: High definition video generation with diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.067112Z"},"links":{"cited_paper":"/paper/2210.02303","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:667f866f5619742695232af8ce06161ebe82dd48bf61147d723d1efbac085e02","observation_id":"1c3de548-82fc-4b31-894a-8509a428e60c","resolution":{"observed_at":"2026-08-10T23:38:23.067112Z","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":"2026-08-10T23:38:23.099999Z","title":"Video dif- fusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.099999Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:83bdac883c5adf0f6a41cf0693d5fb13633a8bce758cd97c372a9e948d8d89f4","observation_id":"b3347809-ed4d-417d-89c7-6cb79cae4b47","resolution":{"observed_at":"2026-08-10T23:38:23.099999Z","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":"2026-08-10T23:38:23.131933Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.131933Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:6b8a76ff5b5506b22f9b9092ba58f62cb9d09385eb0bcf96b8c277f9bee868ac","observation_id":"d3d133cc-0db4-4bcf-8cbf-f290f1fc5e9e","resolution":{"observed_at":"2026-08-10T23:38:23.131933Z","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":"2026-08-10T23:38:23.149311Z","title":"Controllable hand grasp generation for hoi and efficient evaluation meth- ods, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.149311Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:fc9281f99319cfb20cabc47ae311ad68fb5f09d269879ff468a6c222b15319b1","observation_id":"f2e2ff94-99d7-4b29-a45b-a404aae98246","resolution":{"observed_at":"2026-08-10T23:38:23.149311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.09991","last_updated":"2022-12-21T01:06:18Z","snapshot_observed_at":"2026-08-06T05:32:02.292779Z","submitted_at":"2022-05-20T07:02:03Z","title":"Planning with Diffusion for Flexible Behavior Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.09991","snapshot_observed_at":"2026-08-10T23:38:23.177068Z","title":"Planning with diffusion for flexible behav- ior synthesis","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.177068Z"},"links":{"cited_paper":"/paper/2205.09991","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:6b71aa1384e4d2f33129d444c88a15c52b1a641f7ce538f44ec65c1b5a388d60","observation_id":"233e23b4-2a1f-49da-9fa0-1bb65f7b7678","resolution":{"observed_at":"2026-08-10T23:38:23.177068Z","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":"2026-08-10T23:38:23.223197Z","title":"Event- triggered attitude consensus with absolute and relative atti- tude measurements","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.223197Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:9606eab5f18b05555df87f2e4d6445f415aa9f145ab6aa6a7ce1759e64d72b79","observation_id":"6b303997-5f5c-46b8-8bb1-62cf377cc88f","resolution":{"observed_at":"2026-08-10T23:38:23.223197Z","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":"2026-08-10T23:38:23.227868Z","title":"Guided motion diffusion for controllable human motion synthesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.227868Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:a957a2e7bc72dcadf79012e297df1d6ea61f1b943199b5279d62e0c5c364d347","observation_id":"05178ff1-34f5-4ffa-8699-06aebcc7ed8a","resolution":{"observed_at":"2026-08-10T23:38:23.227868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-10T23:38:23.232311Z","title":"Auto-encoding variational bayes","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.232311Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:778e266dfa27a5f8052bf89f2f535e889320db755497c679109a1652a18c555c","observation_id":"324c62e6-cd7c-4701-a6a8-54db246f77d3","resolution":{"observed_at":"2026-08-10T23:38:23.232311Z","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":"2026-08-10T23:38:23.239761Z","title":"The kit bimanual manipulation dataset","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.239761Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:3ea7afca6db991cd659268b178010bead238145a1050c6a561460a1d4e43db7b","observation_id":"358ae3ad-eccb-45ff-ac5c-313b3c3aaf1e","resolution":{"observed_at":"2026-08-10T23:38:23.239761Z","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":"2026-08-10T23:38:23.247256Z","title":"H2o: Two hands manipulating objects for first person interaction recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.247256Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:1ecafdc6d1fef9bb23736466ff9f90cc3d0bddc220d05c60f2aa5d605586d3f2","observation_id":"88d0a8a2-1092-476a-879c-6dc44678fa3e","resolution":{"observed_at":"2026-08-10T23:38:23.247256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03913","last_updated":"2024-07-14T23:00:54Z","snapshot_observed_at":"2026-08-13T06:45:16.804654Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-10T23:38:23.254832Z","title":"Controllable human-object interaction synthesis","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.254832Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:042d75973a6842b60f205b7f247d529f01c45a50d47fad2d3625d4fbcd2ad294","observation_id":"ea7667e7-043d-4695-ac36-579c94c7e4f5","resolution":{"observed_at":"2026-08-10T23:38:23.254832Z","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":"2026-08-10T23:38:23.280643Z","title":"Object motion guided human motion synthesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.280643Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:3fe3fb88025033dd5fb96cae56fb210d21a4967474fc2593d5e63c01195f3f56","observation_id":"a68a9db3-765f-4b59-8bab-ddc98f2bbb37","resolution":{"observed_at":"2026-08-10T23:38:23.280643Z","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":"2026-08-10T23:38:23.327220Z","title":"Generative image dynamics","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.327220Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:b3d49c6a42f6e309052254115522f8fcd5c3562ab29afc9352a2a777630096a4","observation_id":"96a27460-d5bf-4145-a8e3-5ee915b37755","resolution":{"observed_at":"2026-08-10T23:38:23.327220Z","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":"2026-08-10T23:38:23.367957Z","title":"Intergen: Diffusion-based multi-human motion generation under complex interactions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.367957Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:eb482fdf150fd0929e99920d21aaebf7c95c73f66df253fbb72a5934beb1e874","observation_id":"f1e22c77-16ea-4c6b-b82b-ca0e3a2a8e2d","resolution":{"observed_at":"2026-08-10T23:38:23.367957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09806","last_updated":"2023-10-17T06:15:49Z","snapshot_observed_at":"2026-08-14T14:26:29.056201Z","submitted_at":"2023-03-17T07:23:09Z","title":"DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09806","snapshot_observed_at":"2026-08-10T23:38:23.406704Z","title":"Dexrepnet: Learn- ing dexterous robotic grasping network with geometric and spatial hand-object representations","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.406704Z"},"links":{"cited_paper":"/paper/2303.09806","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:c37e44e7bc082e0cdb25a4fbb15605fd3efb13b210ff38feffa4de5f3d50e9e3","observation_id":"9c74b7cb-7496-45ca-8c94-1e853644c8c5","resolution":{"observed_at":"2026-08-10T23:38:23.406704Z","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":"2026-08-10T23:38:23.448753Z","title":"Contactgen: Generative contact modeling for grasp generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.448753Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:fb435c5e9cffe9b13b1c456c8375ca5bd364abbf1d00fbccfd2ca305d4349ed4","observation_id":"a773fab7-e2b7-4616-87c4-63e8a5d7f77d","resolution":{"observed_at":"2026-08-10T23:38:23.448753Z","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":"2026-08-10T23:38:23.497504Z","title":"Hoi4d: A 4d egocentric dataset for category-level human-object interaction","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.497504Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:90b9492dd55204792f4124121c93d82532f187664e7a62c156a3a57d5af3ff76","observation_id":"cbcdfa8c-93ce-4470-8c22-68f0562b44a9","resolution":{"observed_at":"2026-08-10T23:38:23.497504Z","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":"2026-08-10T23:38:23.526196Z","title":"Taco: Benchmarking general- izable bimanual tool-action-object understanding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.526196Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:7d1a8377a932b3fbc71b688d79e9f9180c8fb78ea8afd2960cdd2c1b44a80072","observation_id":"51a80fa9-70de-47d1-8414-165c64f576ae","resolution":{"observed_at":"2026-08-10T23:38:23.526196Z","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":"2026-08-10T23:38:23.585658Z","title":"Controlled synchro- nization of heterogeneous robotic manipulators in the task space","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.585658Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:0543277ccc2d8808c2f8ffbaaaa6f1ca0ba4a79ce99acc777efc91c714d63ad4","observation_id":"2ba6abf1-fb66-4622-996c-fca600a75eac","resolution":{"observed_at":"2026-08-10T23:38:23.585658Z","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":"2026-08-10T23:38:23.634836Z","title":"Repaint: In- painting using denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.634836Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:957f9eb1d129d8c89a6bea95222431c68b16e852509207875a27274b024f9a10","observation_id":"fd515e94-84cf-43d4-bde6-a3cdef7477d2","resolution":{"observed_at":"2026-08-10T23:38:23.634836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.10470","last_updated":"2021-08-25T23:42:59Z","snapshot_observed_at":"2026-07-06T11:40:56.544714Z","submitted_at":"2021-08-24T01:38:11Z","title":"Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.10470","snapshot_observed_at":"2026-08-10T23:38:23.662641Z","title":"Isaac gym: High performance gpu-based physics simulation for robot learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.662641Z"},"links":{"cited_paper":"/paper/2108.10470","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:0c53a29b14e8dba3105d4b5856ff7145d9a0489dd5989da6c64f7ba4e50e43d9","observation_id":"fd4da931-c74e-4892-9f52-d6a222ac4250","resolution":{"observed_at":"2026-08-10T23:38:23.662641Z","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":"2026-08-10T23:38:23.690154Z","title":"Learning dexter- ous grasping with object-centric visual affordances","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.690154Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:207bdf3197879da67aec8f710fc26e468235dbbbb1757707fa7890008118e9f6","observation_id":"7cd1b6c2-f5a8-4779-a40c-657f9bd79766","resolution":{"observed_at":"2026-08-10T23:38:23.690154Z","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":"2026-08-10T23:38:23.726928Z","title":"Synchronization on riemannian mani- folds: Multiply connected implies multistable","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.726928Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:b762b33a26218534fc2a0f2559c77e3408e29fc28453ca7a05f4148556deccbb","observation_id":"a126c795-b3c5-44e4-9336-2807687aa4c8","resolution":{"observed_at":"2026-08-10T23:38:23.726928Z","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":"2026-08-10T23:38:23.739582Z","title":"High-dimensional kuramoto models on stiefel manifolds synchronize complex networks almost globally","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.739582Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:e62c180dc29867e6c3eb3189c21aba02e55e09c28c81fd5ffd622f7ff48a44b0","observation_id":"5d7766d2-240a-4690-83d9-bb07482a9c01","resolution":{"observed_at":"2026-08-10T23:38:23.739582Z","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":"2026-08-10T23:38:23.745963Z","title":"Distributed finite- time attitude containment control for multiple rigid bodies","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.745963Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:bf4359f79df69848aa89ef20bb1fc39f16cb5480df047155d77eff685a2940af","observation_id":"711aa728-2ba6-4fb1-8a16-9010254fbe26","resolution":{"observed_at":"2026-08-10T23:38:23.745963Z","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":"2026-08-10T23:38:23.750536Z","title":"Generating continual human motion in diverse 3d scenes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.750536Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:6192f5c00b4bd8bfc9dc071da743030d6ea9e9bcc6ce2aea9a4f875f9837c12b","observation_id":"8ef7d17d-c2f5-4485-9a9a-8a20e9a091fc","resolution":{"observed_at":"2026-08-10T23:38:23.750536Z","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":"2026-08-10T23:38:23.757735Z","title":"Expressive body capture: 3d hands, face, and body from a single image","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.757735Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:70e75f7fb2637b9f24f670c6538d795e8f3de9d1f331fcb0734a497540c2a119","observation_id":"093bc5d5-2c6a-4342-9559-3add17465be0","resolution":{"observed_at":"2026-08-10T23:38:23.757735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.06553","last_updated":"2025-07-07T05:09:32Z","snapshot_observed_at":"2026-08-13T05:04:55.541639Z","submitted_at":"2023-12-11T17:41:17Z","title":"HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.06553","snapshot_observed_at":"2026-08-10T23:38:23.764585Z","title":"Hoi-diff: Text-driven syn- thesis of 3d human-object interactions using diffusion mod- els","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.764585Z"},"links":{"cited_paper":"/paper/2312.06553","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:29644bcae4262b846d7d3b7504bf2b9b011fe74eee8f94c2c1593b2c329d9c58","observation_id":"8eb43e31-caf9-442b-97fc-7a5d2aba0b10","resolution":{"observed_at":"2026-08-10T23:38:23.764585Z","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":"2026-08-10T23:38:23.826976Z","title":"Efficient learning on point clouds with basis point sets","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.826976Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:f6661358661f27b75b5dbc096e5766c8325f7f8342929c81bddde5dd4a4bb2ef","observation_id":"f3f2252f-03d9-4c3b-a996-a1b4b4a8f2f8","resolution":{"observed_at":"2026-08-10T23:38:23.826976Z","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":"2026-08-10T23:38:23.895764Z","title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.895764Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:40c3045a6a3b10e1c682a07ea148be435ab370d1a149fab8a7a8c586982dd0c7","observation_id":"8b4a672d-d1a8-49c6-8fcc-54339e592064","resolution":{"observed_at":"2026-08-10T23:38:23.895764Z","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":"2026-08-10T23:38:23.965616Z","title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:23.965616Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:e0c26e7afd86f06c6f0916c3ecc95fd2ad2d04c41ddc28c086d7d258b23a0f1c","observation_id":"7fa93484-9058-45c9-9d62-8c2d2f6c4cd1","resolution":{"observed_at":"2026-08-10T23:38:23.965616Z","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":"2026-08-10T23:38:24.001874Z","title":"Human grasp generation for rigid and deformable objects with decom- posed vq-vae, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.001874Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:f6887919c5f4f98e30712e35c13f3c885dbe9df7c8e38cdae44b28f668bf9f44","observation_id":"831e21ef-433c-4833-bc62-6f45fb72fce2","resolution":{"observed_at":"2026-08-10T23:38:24.001874Z","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":"2026-08-10T23:38:24.065189Z","title":"Dexmv: Im- itation learning for dexterous manipulation from human videos","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.065189Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:6928d86c9234fddf58546d211dd8dc09c95ee0dc5cc9c3e0e979843d16899907","observation_id":"f0491922-0419-4535-bcbe-53f610fae7da","resolution":{"observed_at":"2026-08-10T23:38:24.065189Z","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":"2026-08-10T23:38:24.108500Z","title":"Learn- ing transferable visual models from natural language super- vision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.108500Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:c3adbeeaff330b9b9efc3db36751e956cee7f5cea8e8f902525439936863287d","observation_id":"a6f29118-3a7b-4c1d-a9c4-48c256fb9548","resolution":{"observed_at":"2026-08-10T23:38:24.108500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1709.10087","last_updated":"2018-06-26T13:31:37Z","snapshot_observed_at":"2026-08-15T17:49:11.636243Z","submitted_at":"2017-09-28T17:51:13Z","title":"Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.10087","snapshot_observed_at":"2026-08-10T23:38:24.131146Z","title":"Learning complex dexterous manipulation with deep reinforcement learning and demonstrations","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.131146Z"},"links":{"cited_paper":"/paper/1709.10087","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:e0a3f5ecf1d999bbbbc3c3120cfb72a0b2c7b3d22dc7748f0bb6e2b5231ccae3","observation_id":"08231ae8-003a-4c11-8d97-99bde6523b71","resolution":{"observed_at":"2026-08-10T23:38:24.131146Z","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":"2026-08-10T23:38:24.151574Z","title":"Distributed leaderless consensus algorithms for networked euler–lagrange systems","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.151574Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:a35f78a4d75f52086147b27e9dc5eb27405469a6af96ec41948f09b805c41afc","observation_id":"3440be92-f9eb-407a-9328-722df3c13fc6","resolution":{"observed_at":"2026-08-10T23:38:24.151574Z","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":"2026-08-10T23:38:24.160655Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.160655Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:f45144c8a42deba98dd8753718e83a476eba8e2cc460db6b145e8ad8ddc07921","observation_id":"d62ca72a-3a01-4b97-8fda-4b0caba4cc2f","resolution":{"observed_at":"2026-08-10T23:38:24.160655Z","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":"2026-08-10T23:38:24.167517Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.167517Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:8dbcc69334466eebdc762c07cccab7594e9ef8f8e31941d0896ba86ddb9af3aa","observation_id":"c779b341-209e-4b0a-9dfe-468112daa391","resolution":{"observed_at":"2026-08-10T23:38:24.167517Z","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":"2026-08-10T23:38:24.187987Z","title":"Autonomous rigid body attitude synchronization","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.187987Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:1cc17da9eb0c68378acc27355109b3fb9fa2648b465e5a94946744aab427024c","observation_id":"5f81df11-41a6-4c84-a87e-baaf8b9b7bb0","resolution":{"observed_at":"2026-08-10T23:38:24.187987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-08-15T20:26:32.102285Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-10T23:38:24.269871Z","title":"Proximal policy optimization algo- rithms","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.269871Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:8279959848e2bc0007d329d19e11e50c2a327066704c2de9e4be1b593ea7f3ba","observation_id":"59804005-b5bc-4fd1-96cf-540961253194","resolution":{"observed_at":"2026-08-10T23:38:24.269871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.01418","last_updated":"2023-08-30T04:41:10Z","snapshot_observed_at":"2026-08-13T12:33:20.061197Z","submitted_at":"2023-03-02T17:09:27Z","title":"Human Motion Diffusion as a Generative Prior","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.01418","snapshot_observed_at":"2026-08-10T23:38:24.312719Z","title":"Human motion diffusion as a generative prior","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.312719Z"},"links":{"cited_paper":"/paper/2303.01418","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:40ce4502ca0c3d0abfd987dfa6d5aa1798ab638dbd7bdc75240894ee5fc4e74f","observation_id":"c7534082-1789-4a4c-a6cb-be5819684f18","resolution":{"observed_at":"2026-08-10T23:38:24.312719Z","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":"2026-08-10T23:38:24.361596Z","title":"Towards open domain text-driven synthesis ofmulti-person motions","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.361596Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:c6593b4c334aeb67bc041e9ae6239e81b084a6e8a1ac714326199f77a1734d99","observation_id":"16cfcc0a-f9cb-4918-90e8-d4d7a3d3427c","resolution":{"observed_at":"2026-08-10T23:38:24.361596Z","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":"2026-08-10T23:38:24.375240Z","title":"Macs: Mass conditioned 3d hand and object motion synthe- sis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.375240Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:be2cb9ff56dd68686051764e3347492092b67190251ae88319f1ae64e45cd115","observation_id":"2db7b798-5509-4fff-bbc7-c6636d4d0349","resolution":{"observed_at":"2026-08-10T23:38:24.375240Z","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":"2026-08-10T23:38:24.406074Z","title":"Stochastic motion— motion under the influence of wind","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.406074Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:e6b2b73a0a309a83d420c654f5ad1f3530d78c9f9f0380c51080f73810d0df8c","observation_id":"acddd08c-41a9-4e6c-a6a1-f65348210c05","resolution":{"observed_at":"2026-08-10T23:38:24.406074Z","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":"2026-08-10T23:38:24.424547Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.424547Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:94029d0ad144cfaf7d1c7d0232fed15f7b2ea4015c26a4c492a17fc3889c7bee","observation_id":"3b2b761c-79e3-4ceb-af7a-19d73c06fa21","resolution":{"observed_at":"2026-08-10T23:38:24.424547Z","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":"2026-08-10T23:38:24.446786Z","title":"Learn- ing structured output representation using deep conditional generative models","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.446786Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:b41d71c6b50dce0fbad8b0f494466d720934d2639920971b6bd9ec99d980b5c9","observation_id":"fad60412-9861-436e-af96-6afe0fcaae04","resolution":{"observed_at":"2026-08-10T23:38:24.446786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-10T23:38:24.474906Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.474906Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:761a0af806e556ba1911b0f4a83ee8fb97bafac073855844bed6136d7ddbb752","observation_id":"c0015c65-4a7b-43ec-a9b3-47fcc837dbb1","resolution":{"observed_at":"2026-08-10T23:38:24.474906Z","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":"2026-08-10T23:38:24.507852Z","title":"Generative modeling by estimating gradients of the data distribution","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.507852Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:5212ae550fe6f84a60a5ca4a8ac8cb1b921e3232ea371c5a918808b497a49846","observation_id":"398030ea-3334-491b-b856-6462f19ff121","resolution":{"observed_at":"2026-08-10T23:38:24.507852Z","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":"2026-08-10T23:38:24.515138Z","title":"Multi-scale stochastic modelling of complex nat- ural phenomena","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.515138Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:a5bc5592aee4264dae131377866dc17c86480f3823060288e18b004d1e4c1372","observation_id":"40ac1337-3f3a-45be-afea-acb1d9a32790","resolution":{"observed_at":"2026-08-10T23:38:24.515138Z","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":"2026-08-10T23:38:24.526498Z","title":"Stochastic dynamics: Simulating the effects of turbulence on flexible structures","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.526498Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:e786c99fd6f75beefc02872f237639dcea5ce0b5ca7345d855188dad25e33319","observation_id":"c76d6529-28b8-4ee0-9da2-32cfa529cb99","resolution":{"observed_at":"2026-08-10T23:38:24.526498Z","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":"2026-08-10T23:38:24.533925Z","title":"Grab: A dataset of whole-body human grasping of objects","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.533925Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:aa77b3fb1733331e74e50fa408c16a97277c18cddf899de13608ad547c593df2","observation_id":"f53fdf90-6748-45ae-b6a6-c01fd2bdf917","resolution":{"observed_at":"2026-08-10T23:38:24.533925Z","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":"2026-08-10T23:38:29.684183Z","title":"Goal: Generating 4d whole-body motion for hand-object grasping","venue":null,"work_id":"9da114e4-229b-47ec-9db9-420bf7ac0a48","year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.538856Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:889579bb00da514f212bc1231ca04729313f30662beccf29e8a8f5213a3f32a0","observation_id":"ae9831a0-603f-49fb-84dd-712665b4de84","resolution":{"observed_at":"2026-08-10T23:38:29.727271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.612331Z","title":"Role-aware interaction generation from textual description","venue":null,"work_id":"b9d35bd2-340a-41d5-945d-78e0893ff506","year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.543706Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:23a046ba64a3c58aa685253cf088705802a5ec3b0d94bb34eb3c6f33867fa870","observation_id":"8daf8eff-5782-4997-ab65-0873560f956a","resolution":{"observed_at":"2026-08-10T23:38:29.631702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14916","last_updated":"2022-10-03T09:17:41Z","snapshot_observed_at":"2026-08-12T18:48:37.916493Z","submitted_at":"2022-09-29T16:27:53Z","title":"Human Motion Diffusion Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.14916","snapshot_observed_at":"2026-08-10T23:38:24.549903Z","title":"Human motion diffusion model","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.549903Z"},"links":{"cited_paper":"/paper/2209.14916","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:b328d5f56209aa1313c353d01ff849217e6b5108cadd9a5bbf0fc9b7a90877d5","observation_id":"1a289ca5-6ada-4f92-8d59-0796279d8fce","resolution":{"observed_at":"2026-08-10T23:38:24.549903Z","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":"2026-08-10T23:38:29.596348Z","title":"Con- sensus and formation control on se (3) for switching topolo- gies","venue":null,"work_id":"5514b433-81c2-4887-9f03-9c4997a5e0d6","year":2016},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.558005Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:3b3bee215e7b8075481bda7f33f8bc64f5157f8b87e4489679292013a52e7905","observation_id":"86840caf-19ac-425f-ab1c-7b5d57d564f9","resolution":{"observed_at":"2026-08-10T23:38:29.601514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.579030Z","title":"A lifting method for analyzing distributed synchronization on the unit sphere","venue":null,"work_id":"aecd4e4d-1a39-4570-a27a-9151ac84768d","year":2018},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.579205Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:f609704ade2f370acda669a0e15f1a9731782e9ded232e69d85ac391aa9588d5","observation_id":"626395ed-fc8e-4731-817c-8af31e130fd0","resolution":{"observed_at":"2026-08-10T23:38:29.584078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.561175Z","title":"Dynamic controllers for column synchronization of rotation matrices: a qr-factorization approach","venue":null,"work_id":"40557644-99e0-4502-9b3b-2686c015a28a","year":2018},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.640649Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:dd5979d8eeca17e74e11170220b14f3d9956fd26f58bbc504e90eb59b8c8bfac","observation_id":"144406ff-85cb-42a6-b2cc-ed6166dfab06","resolution":{"observed_at":"2026-08-10T23:38:29.566796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.541913Z","title":"Towards semantic 3d hand-object interaction generation via functional text guidance, 2025","venue":null,"work_id":"306173ea-a9c8-4767-a374-fb334dcf8e35","year":2025},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.708319Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:e4372945ee96f201d899e1780913814e190fa05c60b795725be7997ee1171b44","observation_id":"36c9a0fc-b08f-4b11-9453-085bbbc9248d","resolution":{"observed_at":"2026-08-10T23:38:29.548579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.525633Z","title":"Mujoco: A physics engine for model-based control","venue":null,"work_id":"0161e02c-d965-4c4a-b278-b6564d32decb","year":2012},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.752086Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:c1d6a471a304a5871d58170fc9e8be84a4e3ea0be042037d58fdc3a034a9e6d1","observation_id":"8701f871-827f-459a-af81-9da6a3f49a5b","resolution":{"observed_at":"2026-08-10T23:38:29.530655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.507360Z","title":"Unidexgrasp++: Im- proving dexterous grasping policy learning via geometry- aware curriculum and iterative generalist-specialist learn- ing","venue":null,"work_id":"c4f9ace8-55d4-4922-9d6a-c8b12bb29fd7","year":2023},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.796285Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:6651b4088f3eaedf221358a1f4c0cc20da0a2f2378f2f976e08e57963190c80e","observation_id":"05d0ddfb-4858-48b3-8341-5423f46f3b9c","resolution":{"observed_at":"2026-08-10T23:38:29.512886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.490893Z","title":"Flocking of networked uncertain eu- ler–lagrange systems on directed graphs","venue":null,"work_id":"ccf5a94d-3977-47b4-acef-0d075e322539","year":2013},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.820848Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:04f8c3a19f5d38cc88f2ef67e52585f722d6ba34af99faf257c2be212279f64e","observation_id":"c78e17f5-5fa1-49fc-8771-0841837f774b","resolution":{"observed_at":"2026-08-10T23:38:29.496782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.475229Z","title":"Consensus of networked mechanical sys- tems with communication delays: A unified framework","venue":null,"work_id":"27c36142-1254-48cf-b324-fc1231b98331","year":2014},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.837579Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:8d42ed88a1a2931e74284a834509cb0f6bfadd14d113840529e5088d3c416756","observation_id":"b3a1dc48-1c17-4cb6-9614-ef18ecdfa234","resolution":{"observed_at":"2026-08-10T23:38:29.480497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.454743Z","title":"Synthesizing long-term 3d human mo- tion and interaction in 3d scenes","venue":null,"work_id":"8d3d2c53-79e6-4fb5-a1da-c0f9cc4bad48","year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.859704Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:c19d83f4c854691fd8fc361b0f5ff0dbbdd604e1ce3801cc15efe3730f2cdd9c","observation_id":"a14fe511-c63c-4651-9abb-af86994d3c7c","resolution":{"observed_at":"2026-08-10T23:38:29.460471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.438572Z","title":"Scene- aware generative network for human motion synthesis","venue":null,"work_id":"e12c0726-a759-4851-bc56-24b21c70a0b1","year":2021},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.877756Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:d4fa4a27f2becd3e4a7f0275d1f22f257e5585272a188c0c3799bb8025bdbc40","observation_id":"93f26751-cc3d-4a58-a783-5a16d027b65e","resolution":{"observed_at":"2026-08-10T23:38:29.443952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.311965Z","title":"Region- grasp: A novel task for contact region controllable hand grasp generation, 2024","venue":null,"work_id":"c1e3c789-c737-4985-80a9-5ef6b7b14afb","year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.883732Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:a32eff6ca8bdc121fa01f5463e60897916afe3dfb4ea6244c34868c4ae02e54d","observation_id":"860f270d-5e0d-46d2-992f-a615fbb7a9fb","resolution":{"observed_at":"2026-08-10T23:38:29.388288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:29.134581Z","title":"Genh2r: Learning generalizable human- to-robot handover via scalable simulation demonstration and imitation","venue":null,"work_id":"b7d50e73-eb24-4ceb-8e25-83c2b6fb743d","year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.892143Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:9ef86175bfb0cc7a8cc7c066f1782d901e257c188759dc6754d98975478b53a3","observation_id":"c659fbdc-af47-4f90-a0e9-77f4dc3b383b","resolution":{"observed_at":"2026-08-10T23:38:29.187833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11208","last_updated":"2024-03-17T13:17:25Z","snapshot_observed_at":"2026-08-13T00:52:31.962506Z","submitted_at":"2024-03-17T13:17:25Z","title":"THOR: Text to Human-Object Interaction Diffusion via Relation Intervention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11208","snapshot_observed_at":"2026-08-10T23:38:24.914756Z","title":"Thor: Text to human-object inter- action diffusion via relation intervention","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.914756Z"},"links":{"cited_paper":"/paper/2403.11208","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:9b0c4ee1821be972376d3f2c2228780c3e6888d8fb2d0f830fe09bff5cebad54","observation_id":"7b1094fc-e65f-4f44-b450-3669ddc0355f","resolution":{"observed_at":"2026-08-10T23:38:24.914756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17840","last_updated":"2025-08-21T08:23:55Z","snapshot_observed_at":"2026-08-14T04:55:34.836717Z","submitted_at":"2024-06-25T17:46:28Z","title":"Human-Object Interaction from Human-Level Instructions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17840","snapshot_observed_at":"2026-08-10T23:38:24.923540Z","title":"Human-object interaction from human-level instructions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.923540Z"},"links":{"cited_paper":"/paper/2406.17840","citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:2dce338a8d9c28e2df4c5d9ac598837c21545045e6c94b4d517c6496b06878cd","observation_id":"440ed9e6-dcf2-4246-abdb-df997e707011","resolution":{"observed_at":"2026-08-10T23:38:24.923540Z","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":"2026-08-10T23:38:28.970914Z","title":"Bayesian diffusion models for 3d shape reconstruction","venue":null,"work_id":"697e0d81-7102-41c1-b45d-2efaeb4d1877","year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:24.975366Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:e3727f0e7f8ff8447e909d40ad29e3d1af273316d942d177b1116a2ab45843d7","observation_id":"1a6339ce-6b8f-46e2-925d-810ea067471b","resolution":{"observed_at":"2026-08-10T23:38:29.044223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-10T23:38:28.952986Z","title":"Inter-x: Towards versatile human-human interac- tion analysis","venue":null,"work_id":"b6038133-37d0-46ae-a64a-eb1e4f3fe271","year":2024},"citing_paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis","version":5},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-10T23:38:25.052337Z"},"links":{"citing_paper":"/paper/2412.20104"},"observation_digest":"sha256:35fd686372c63d220045018e65eb6a7cee5b9f1d58eaf1262377933f4e87bea3","observation_id":"7362a58a-fd1f-4d1c-94d9-801351474ca1","resolution":{"observed_at":"2026-08-10T23:38:28.957841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.20104","last_updated":"2025-07-29T19:29:44Z","latest_version":5,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T09:25:52.937337Z","submitted_at":"2024-12-28T10:12:12Z","title":"SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":84,"verified_exact":0,"verified_fuzzy":16},"total_outbound_references":146},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 100 of 146 outbound references and 2 inbound Pith citation observations for arXiv:2412.20104."}