{"as_of":"2026-08-12T09:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cbaa61bc2919e6836c4b7f525c048149268f407a30fc0fda3b84205870e02e92","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:21:18.591388Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T16:38:33.336334Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T16:38:34.014682Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"cited_work":{"arxiv_id":"2412.20657","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.20657","snapshot_observed_at":"2026-08-06T16:38:34.014682Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","venue":"cs.CV","work_id":"ff444e1f-ec95-457e-a0b0-87138128eaf5","year":2024},"citing_paper":{"arxiv_id":"2507.13097","last_updated":"2025-07-17T13:09:28Z","snapshot_observed_at":"2026-08-07T03:31:49.741300Z","submitted_at":"2025-07-17T13:09:28Z","title":"GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-06T16:38:33.336334Z"},"links":{"cited_paper":"/paper/2412.20657","citing_paper":"/paper/2507.13097"},"observation_digest":"sha256:538b57f99c07db6fd5b1d3428e0416b8f24ab6b12ee4935182702e35aab28fc3","observation_id":"60bff626-6946-426a-9d08-bd9a6fad90b1","resolution":{"observed_at":"2026-08-06T16:38:34.154021Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.20657/citation-record","integrity":"/paper/2412.20657/integrity","json":"/paper/2412.20657/citation-record.json","paper":"/paper/2412.20657"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.14613","last_updated":"2023-10-16T05:37:06Z","snapshot_observed_at":"2026-08-12T07:46:26.331247Z","submitted_at":"2023-03-26T03:35:46Z","title":"GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents","version":4},"cited_work":{"arxiv_id":"2303.14613","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.14613","snapshot_observed_at":"2026-08-10T23:21:18.970107Z","title":"GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents","venue":"cs.CV","work_id":"b0644048-f937-44d3-a328-ee7bddd07348","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.169341Z"},"links":{"cited_paper":"/paper/2303.14613","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:e5249b1db4ba43b32888cd5b8e82d346bd1b75abd42e5db4493bf7c72d640f92","observation_id":"651d7590-f56a-446d-8853-3b0af90012dc","resolution":{"observed_at":"2026-08-10T23:21:18.975939Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.744852Z","title":null,"venue":null,"work_id":"5b5a15bb-853c-4967-b856-b5c54bb08790","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.177797Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:1ef50efc38fe4d156ccd00a4dd7c95c29cf156e967d8874d25cfdd3a8d985093","observation_id":"20f0e667-d8fc-46c6-bef6-006d3f35438c","resolution":{"observed_at":"2026-08-10T23:21:19.750902Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.726861Z","title":null,"venue":null,"work_id":"44d4ebb3-8245-4b5c-90d1-4eccc11652e4","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.194724Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:e0b5e8ef91a24e7b19b1fffe590e16162c70c41ab83b64e1b6d2b201c6c4a184","observation_id":"d056e8cf-bcd7-4796-81e2-94671ebb5c3b","resolution":{"observed_at":"2026-08-10T23:21:19.732118Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.705906Z","title":"S.; and Baek, S","venue":null,"work_id":"9fe91ff4-c75e-4f1f-9bd4-27903d7ad5ea","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.202036Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:465fc50e054b52291367f40cb6429137f9f67598d204c7a717eca558019e61a0","observation_id":"c92850c5-0c7e-4b9b-9051-1027c8b9b54b","resolution":{"observed_at":"2026-08-10T23:21:19.713063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:21:18.210691Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.210691Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:9551fc755ceacf725ba0fcb32a1935f4dcbb66e044ff56fdb43e6d3a9db059d5","observation_id":"d2c22c6f-2513-44f1-810a-2c136c4f9d75","resolution":{"observed_at":"2026-08-10T23:21:18.210691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.03028","last_updated":"2022-03-30T17:43:20Z","snapshot_observed_at":"2026-07-06T12:15:44.291396Z","submitted_at":"2021-12-01T17:04:39Z","title":"D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions","version":2},"cited_work":{"arxiv_id":"2112.03028","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.03028","snapshot_observed_at":"2026-08-10T23:21:18.943878Z","title":"D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions","venue":"cs.CV","work_id":"e9e0c429-c7c8-4acf-ba38-cd82a687c512","year":2021},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.218646Z"},"links":{"cited_paper":"/paper/2112.03028","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:92e6dda599644f753a953f0e18264af0565a36ce28bb35af42bb053f10adf5e2","observation_id":"b7426933-2f80-4e88-b237-2801216f382a","resolution":{"observed_at":"2026-08-10T23:21:18.950338Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.670451Z","title":null,"venue":null,"work_id":"82ec4746-274e-4e61-bc2a-764644df5af2","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.226139Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:5d1bd7fabbba3e155221fee64dc9d8e72a4cf69cebdbe98aec64c84ee0968373","observation_id":"04bd639b-724f-4ce5-84ec-474cc42a9bcd","resolution":{"observed_at":"2026-08-10T23:21:19.676907Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.651695Z","title":"J.; and Hilliges, O","venue":null,"work_id":"fc8c3729-570c-4151-8f5d-48f58150bf8d","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.232526Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:49b682bff2e6668f6510b80439f78fb1d2feed68bad9745f21e7c95a7f740bdf","observation_id":"99e20064-9f67-4cd0-b03c-792857ab9128","resolution":{"observed_at":"2026-08-10T23:21:19.657017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.632239Z","title":null,"venue":null,"work_id":"3d5c3525-cfa0-4a4f-9594-e2da01ae9971","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.240537Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:0d9e4277fc1f9f9ca55ed60bd61d62072d22b62c0b557b9a919b8ecc71710233","observation_id":"59bbe7c6-0ecb-4cea-9efe-fa05f31b3696","resolution":{"observed_at":"2026-08-10T23:21:19.638686Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17057","last_updated":"2024-07-29T05:18:08Z","snapshot_observed_at":"2026-07-06T16:53:58.875152Z","submitted_at":"2023-11-28T18:59:52Z","title":"ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17057","snapshot_observed_at":"2026-08-10T23:21:18.246884Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.246884Z"},"links":{"cited_paper":"/paper/2311.17057","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:89fc1f8e505ce733b918f64aaaaf4a36d80b23e2157bcfd427231489e608ede7","observation_id":"92c26103-2bfa-4448-a3fc-25f32b24b4b0","resolution":{"observed_at":"2026-08-10T23:21:18.246884Z","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":"2026-08-10T23:21:19.614161Z","title":null,"venue":null,"work_id":"faac5631-a7ce-471a-8a86-5a19f0744498","year":2022},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.254159Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:c4915f4539b913461b3e7b9e09e4f2e8f6d006472c49a054988dc95131976812","observation_id":"b0488639-c2fb-4e32-9970-a7f99e04994a","resolution":{"observed_at":"2026-08-10T23:21:19.619866Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.05767","last_updated":"2019-04-11T15:21:33Z","snapshot_observed_at":"2026-08-01T15:20:32.008164Z","submitted_at":"2019-04-11T15:21:33Z","title":"Learning joint reconstruction of hands and manipulated objects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.05767","snapshot_observed_at":"2026-08-10T23:21:18.262191Z","title":"J.; Laptev, I.; and Schmid, C","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.262191Z"},"links":{"cited_paper":"/paper/1904.05767","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:3f4c749f281af35401c3fa45ebda2927d20083bb43a576cde2af42cfa4cc13b4","observation_id":"0cb12730-83ec-4632-bb30-0202f9ba4504","resolution":{"observed_at":"2026-08-10T23:21:18.262191Z","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":"2026-08-10T23:21:19.591347Z","title":null,"venue":null,"work_id":"99f4e59d-78a6-4341-9147-18c934b5b43d","year":2022},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.268963Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:d9379e4d5970dc5625085e390b91c57bf3b3ad77b34a3a868597eab2d3a2ed25","observation_id":"20bfa969-8ad6-4f90-9b29-5ca452be53f3","resolution":{"observed_at":"2026-08-10T23:21:19.599426Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-08-10T05:21:27.485481Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-10T23:21:18.277424Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.277424Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:0df3b23d418ee330ce5fd01a6cab248d0fedb0f46c1a3752176dbc3e40afc380","observation_id":"0cee8b16-5e9e-4863-b585-bd75e834b562","resolution":{"observed_at":"2026-08-10T23:21:18.277424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.03458","last_updated":"2022-06-22T20:22:29Z","snapshot_observed_at":"2026-07-06T12:57:51.108636Z","submitted_at":"2022-04-07T14:08:02Z","title":"Video Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.03458","snapshot_observed_at":"2026-08-10T23:21:18.286803Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.286803Z"},"links":{"cited_paper":"/paper/2204.03458","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:56d5b3ec0d00f4f7d6998f60f0fea5b3359cac4ef00988ab7974334319a680e3","observation_id":"fcf40760-cddf-4d4b-ab0a-1e838495d6bb","resolution":{"observed_at":"2026-08-10T23:21:18.286803Z","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":"2026-08-10T23:21:19.571948Z","title":null,"venue":null,"work_id":"d763e078-af01-4caf-8ddf-13e4dd7b1a4b","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.294126Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:4b762496875ab5ef06823b669e41c12ac6c1351848cc8eb1ef97966d1487663a","observation_id":"05c94a1e-995c-4cc3-80d2-5718d04ff6b7","resolution":{"observed_at":"2026-08-10T23:21:19.577507Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.03304","last_updated":"2021-04-07T17:57:14Z","snapshot_observed_at":"2026-07-06T10:57:21.385661Z","submitted_at":"2021-04-07T17:57:14Z","title":"Hand-Object Contact Consistency Reasoning for Human Grasps Generation","version":1},"cited_work":{"arxiv_id":"2104.03304","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.03304","snapshot_observed_at":"2026-08-10T23:21:18.847021Z","title":"Hand-Object Contact Consistency Reasoning for Human Grasps Generation","venue":"cs.CV","work_id":"e939d342-8e35-4aa1-ac8f-7c1f4bce68b6","year":2021},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.299610Z"},"links":{"cited_paper":"/paper/2104.03304","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:d7d248c96a0feb74c3a04aef02545ce3ce1f786150c88d9a06b343de8d77c7c4","observation_id":"2fa053e0-79d6-49fd-a398-2a9a3513cebf","resolution":{"observed_at":"2026-08-10T23:21:18.852984Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07511","last_updated":"2023-07-14T17:59:38Z","snapshot_observed_at":"2026-07-06T15:54:09.109682Z","submitted_at":"2023-07-14T17:59:38Z","title":"NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis","version":1},"cited_work":{"arxiv_id":"2307.07511","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.07511","snapshot_observed_at":"2026-08-10T23:21:18.820940Z","title":"NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis","venue":"cs.CV","work_id":"9caa5e54-cf57-4308-8370-416c22c461ad","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.305780Z"},"links":{"cited_paper":"/paper/2307.07511","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:d2b3be5117c91cfac5b6b432bb62944b1aa61a96bc075fbff1976015f995fee3","observation_id":"97df06e9-e9e5-44f2-ba6c-9e292d524bc1","resolution":{"observed_at":"2026-08-10T23:21:18.827389Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.554280Z","title":null,"venue":null,"work_id":"4e091d8c-e9db-440e-b657-77fcd6e4a66a","year":2021},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.311750Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:55e9135295a1973bdcb03a7e9467966c6ea32fb35975a1053ae4e6dd2b6c54aa","observation_id":"af8030e2-2db0-4334-b6e3-077cf71d487d","resolution":{"observed_at":"2026-08-10T23:21:19.559707Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.534886Z","title":null,"venue":null,"work_id":"28066f08-a5bd-4bd5-ae57-1f5573cd4230","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.317745Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:d4a615b6ab49e765f7ffa441d6819290c53b265c02a29ad0ee1cf5d08168cf2f","observation_id":"46c5fa91-39f6-4594-8818-b396afd30e67","resolution":{"observed_at":"2026-08-10T23:21:19.540576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.09245","last_updated":"2023-05-06T07:53:13Z","snapshot_observed_at":"2026-07-06T14:06:48.707061Z","submitted_at":"2022-10-17T16:39:25Z","title":"Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.09245","snapshot_observed_at":"2026-08-10T23:21:18.323456Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.323456Z"},"links":{"cited_paper":"/paper/2210.09245","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:544f91fac94c88285b6aaba8cc3a8798259b54bedff876e111a751acd746d01e","observation_id":"ff39cbc5-5a8b-4e09-908d-4287b6c43a88","resolution":{"observed_at":"2026-08-10T23:21:18.323456Z","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":"2026-07-06T16:58:03.812619Z","submitted_at":"2023-12-06T21:14:20Z","title":"Controllable Human-Object Interaction Synthesis","version":2},"cited_work":{"arxiv_id":"2312.03913","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.03913","snapshot_observed_at":"2026-08-10T23:21:18.768971Z","title":"Controllable Human-Object Interaction Synthesis","venue":"cs.CV","work_id":"10ba257e-6270-486d-bcdb-f96ea36c6ee0","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.328924Z"},"links":{"cited_paper":"/paper/2312.03913","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:65ff7f8e78f798b65713e6318c2224c2385b7c8766a423bf9f30a9b5a500bdfc","observation_id":"428a6076-9a80-4ad4-b818-8d2269ed2f8e","resolution":{"observed_at":"2026-08-10T23:21:18.777208Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.512548Z","title":null,"venue":null,"work_id":"d8963aff-e705-4e2d-884a-4e50a6dc4876","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.334879Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:24b3241baadb2d58bc191354e9a6ec0b44f7206e9c09c48c8173e31727d8df40","observation_id":"0bb9e70b-ef43-4c32-9ae0-cb3ffd82b045","resolution":{"observed_at":"2026-08-10T23:21:19.520661Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.491744Z","title":"C.; and Dai, B","venue":null,"work_id":"bba5198c-fa53-4005-bcd2-87c26711f9c0","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.340258Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:b6ad1b72dca07ef9e447661ecf887280f2792c1999e6aa35e4c80710f2263efa","observation_id":"89e53953-0dde-4287-b9f7-e1629f293b4b","resolution":{"observed_at":"2026-08-10T23:21:19.497094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.473728Z","title":null,"venue":null,"work_id":"34031e3a-56c0-43e6-a340-a00e5bf69f32","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.345858Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:3b1af562adaba118f9b4dd5ffd1d8d724fd14b2178886811339b4952e67fbc41","observation_id":"bd1dd7ee-efea-41c9-a72f-a0ff73b559ea","resolution":{"observed_at":"2026-08-10T23:21:19.479375Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.455582Z","title":null,"venue":null,"work_id":"c93d8799-331d-4bd9-a3e1-b41ce1d2334e","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.351364Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:c651fa6876c7d7763056bdde03f727922acac009383015531955e50ee63fb42c","observation_id":"c4972928-43d5-437c-b46f-55d573015830","resolution":{"observed_at":"2026-08-10T23:21:19.462128Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14810","last_updated":"2024-02-22T18:59:21Z","snapshot_observed_at":"2026-08-05T16:39:25.382498Z","submitted_at":"2024-02-22T18:59:21Z","title":"GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14810","snapshot_observed_at":"2026-08-10T23:21:18.356848Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.356848Z"},"links":{"cited_paper":"/paper/2402.14810","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:f4113912a1d049229a7e5cf1fa7a0e792461c0e33ce8981c96fe4142546cb0b9","observation_id":"5167c6b2-bad1-4080-9790-b2b1da11c325","resolution":{"observed_at":"2026-08-10T23:21:18.356848Z","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":"2026-08-10T23:21:19.436190Z","title":null,"venue":null,"work_id":"a8fa99df-f577-4881-a981-13f3201bb7c5","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.370818Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:3a0942be0c81d1faadd78344137515f61c61b26da87fbfb8137d8e92935f3f0a","observation_id":"ad752197-6595-4a06-a669-0d470c30fc87","resolution":{"observed_at":"2026-08-10T23:21:19.443040Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12978","last_updated":"2023-10-19T17:59:46Z","snapshot_observed_at":"2026-08-03T23:57:00.735076Z","submitted_at":"2023-10-19T17:59:46Z","title":"HumanTOMATO: Text-aligned Whole-body Motion Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.12978","snapshot_observed_at":"2026-08-10T23:21:18.378371Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.378371Z"},"links":{"cited_paper":"/paper/2310.12978","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:49d13b5a59e0416f98b0424fc42441aa4d866a17dcdda16fb2a8fd993ce48979","observation_id":"0206bf23-f51b-43db-b721-1faf06f5e03a","resolution":{"observed_at":"2026-08-10T23:21:18.378371Z","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":"2026-08-10T23:21:19.415148Z","title":null,"venue":null,"work_id":"cf68c374-9faf-4cc8-848e-51cef9762559","year":2022},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.386334Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:affa5c4da5a4d3921a6fa7b625f0e8287f6d4b62feebb29e7a8e4367684870fb","observation_id":"025e8b59-3fc0-4141-9398-93feea97a73a","resolution":{"observed_at":"2026-08-10T23:21:19.421231Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.394209Z","title":null,"venue":null,"work_id":"98d2abc6-208b-417f-8497-07075e82100e","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.394310Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:497a6700d195704d1369cea4162ac924e3167ca65c6b90f5ead45865fdf4795c","observation_id":"acd083fe-534a-4be1-9086-f3b5c7393b3f","resolution":{"observed_at":"2026-08-10T23:21:19.400025Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.373532Z","title":null,"venue":null,"work_id":"7ab8620e-af2a-4342-b54e-bcd2ad288524","year":2019},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.400456Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:99c2602999fa171169e421d736f0e4198659f0e36318b794845fea4ddb076fc3","observation_id":"3a4d5949-3ccc-410a-9f48-8fc793dc5436","resolution":{"observed_at":"2026-08-10T23:21:19.378816Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.06553","last_updated":"2025-07-07T05:09:32Z","snapshot_observed_at":"2026-08-06T14:47:15.286683Z","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":"2026-08-10T23:21:18.406269Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.406269Z"},"links":{"cited_paper":"/paper/2312.06553","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:fb3c47b7666fd0259ca19e482ee510ef5a09b4545956286475bb1e05307d0bd1","observation_id":"027ea1e1-5a3f-47c8-a997-c7b9f29e10a4","resolution":{"observed_at":"2026-08-10T23:21:18.406269Z","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":"2026-08-10T23:21:19.355953Z","title":"J.; and Varol, G","venue":null,"work_id":"7d427a92-471d-4620-8fd8-f1b1b746b15a","year":2022},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.415283Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:bd0f70b3a1cbcd6b662e14b3bb7333a62fffe4d221de162a8e9287ce61cd5c61","observation_id":"4d1de59b-d846-4a46-b0d9-fa0b87658176","resolution":{"observed_at":"2026-08-10T23:21:19.361166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.337856Z","title":null,"venue":null,"work_id":"76ce6964-381a-4e54-830b-5ee33b337070","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.420370Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:d0dfef21f33cf647832b7ec0ee7c7831db42d1edd6959c3afadadf371378d544","observation_id":"dc467b59-d283-457d-a428-ce44ba52ad11","resolution":{"observed_at":"2026-08-10T23:21:19.343047Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.317752Z","title":null,"venue":null,"work_id":"007fa5b1-d092-4436-99a2-898f1a419fa7","year":2019},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.426097Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:22c3072dd008f8ac21782816e14b65664ef408bbcc0d52d7c35008097a25232d","observation_id":"43474d54-cc29-474e-910e-5f6a1c7668df","resolution":{"observed_at":"2026-08-10T23:21:19.324669Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.294728Z","title":null,"venue":null,"work_id":"f7933514-e5af-4f4b-8b8b-ee4b6d78bedd","year":2012},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.435000Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:3166f4eb2bc32c9f45d50c570318cdb7af8032cb83461b0d3d00ada4a36ed397","observation_id":"9ce11879-b02e-47ac-9828-e3b778fc0756","resolution":{"observed_at":"2026-08-10T23:21:19.301400Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.01418","last_updated":"2023-08-30T04:41:10Z","snapshot_observed_at":"2026-08-04T22:38:03.106382Z","submitted_at":"2023-03-02T17:09:27Z","title":"Human Motion Diffusion as a Generative Prior","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.01418","snapshot_observed_at":"2026-08-10T23:21:18.441365Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.441365Z"},"links":{"cited_paper":"/paper/2303.01418","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:479dd9523a983a0560b1f33007e9190beadef144c9e53b116d146cab883e87c0","observation_id":"366346b6-4e81-4232-9fc7-3f33acbffe02","resolution":{"observed_at":"2026-08-10T23:21:18.441365Z","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":"2026-08-10T23:21:19.275112Z","title":null,"venue":null,"work_id":"84db0025-9d6c-49fc-8bd0-20ab5acd7fd3","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.448171Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:dbc0add3556f676b2f44071eef2d8f441ca96d40d0eb29e4c6128e9c77a1a0fd","observation_id":"754c2d65-9107-48e9-9fa4-8ca65f4c3919","resolution":{"observed_at":"2026-08-10T23:21:19.280704Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.255276Z","title":"J.; and Tzionas, D","venue":null,"work_id":"d6dab51e-d098-43d5-8f7c-94f7efde9d14","year":2022},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.455694Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:4cfdee515164ae1e506b381ed465d0b05bfce6889faaac9066594d89dca69db4","observation_id":"f05fbf8f-0f3c-41bb-9261-c91679744e7f","resolution":{"observed_at":"2026-08-10T23:21:19.261201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.237321Z","title":"J.; and Tzionas, D","venue":null,"work_id":"7a2ee127-2922-4bd9-8bb5-0cc194a44745","year":2020},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.463365Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:0a732e7413de8d5c6dc47d9064387ade10fbbf2d55d7a053bc48094863b3ef0d","observation_id":"1c235699-0565-4378-a609-2deefa627ee0","resolution":{"observed_at":"2026-08-10T23:21:19.242861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11617","last_updated":"2024-07-15T12:42:07Z","snapshot_observed_at":"2026-08-06T04:38:13.177119Z","submitted_at":"2023-08-22T17:59:51Z","title":"GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.11617","snapshot_observed_at":"2026-08-10T23:21:18.474410Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.474410Z"},"links":{"cited_paper":"/paper/2308.11617","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:c2554be75f79fc0e42a0df5867672718e03ce0821adac515fc0b1d8685d18e63","observation_id":"2b89f49f-695a-4741-9768-62e7ac6418b7","resolution":{"observed_at":"2026-08-10T23:21:18.474410Z","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":"2026-08-10T23:21:19.219431Z","title":null,"venue":null,"work_id":"2d6bb3f3-40fb-4287-b22f-4a7056fee17e","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.482395Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:3f99b8912ee740f19e0947a115070a3e17bb577c80d4506e2daf1651dfc126a2","observation_id":"642957bb-486c-405a-8945-f87106e9bae5","resolution":{"observed_at":"2026-08-10T23:21:19.225337Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:21:18.488117Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.488117Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:a4f6636964119aa0e9c0ee67097f624bf26a2a86743444f26a7f0d0dc3ef0175","observation_id":"6a06988d-f02e-4d62-a1df-b4faf4480296","resolution":{"observed_at":"2026-08-10T23:21:18.488117Z","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":"2026-08-10T23:21:19.188866Z","title":null,"venue":null,"work_id":"c75298d5-9204-4d64-a5d1-b52bccb25916","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.496520Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:b66f830d2d4212969381d1699dbf140fedd0058731fe59d8a589589d36366275","observation_id":"8c1e1c6e-6278-4043-8d0b-ce2c182138d3","resolution":{"observed_at":"2026-08-10T23:21:19.194651Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:21:18.503568Z","title":"N.; Kaiser, .; and Polosukhin, I","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.503568Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:b7d06ec8695b62cdc92b2741df4ffc8ccf8425d137dd84b5f5976227f62877af","observation_id":"76c3af80-314b-4438-b3a3-99d209aead87","resolution":{"observed_at":"2026-08-10T23:21:18.503568Z","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":"2026-08-10T23:21:19.157896Z","title":null,"venue":null,"work_id":"e551aac5-4042-4105-9805-cfc063081c59","year":2022},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.510461Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:ffbe667cb49eb92d32c49fa599a65118906ad327d5c53e43221ed1cf31eee416","observation_id":"1ac6365b-5602-44a7-a389-afda70be3253","resolution":{"observed_at":"2026-08-10T23:21:19.163106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.140269Z","title":null,"venue":null,"work_id":"79fa5239-0986-42ac-935e-02ef284e7329","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.518379Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:975d11612f8ad21ff607ec67542eb1093a8657683e2944de4c3be5c8261b7227","observation_id":"39092b4e-7879-4f9a-9112-105edd16208e","resolution":{"observed_at":"2026-08-10T23:21:19.145640Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.122944Z","title":null,"venue":null,"work_id":"4e9bfdd7-f59d-4554-ad82-955843ee3aa3","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.524346Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:4c6497814d7c5185fd42322b331077ac7da9fd963318c471ba99b8a5ed62aa69","observation_id":"c84802d8-6ca5-422c-8f42-cf52101099e4","resolution":{"observed_at":"2026-08-10T23:21:19.128245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.104779Z","title":null,"venue":null,"work_id":"9487ba5c-9d47-45ca-a2af-ace03893c3a5","year":2021},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.530930Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:f2783d1f42c81c425b66651777768a0b92cc926ad701d5d7634ccb4b309d12f3","observation_id":"3fa4a082-1f13-464c-96d2-7d4af3f60421","resolution":{"observed_at":"2026-08-10T23:21:19.110520Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.083808Z","title":null,"venue":null,"work_id":"1c5b8c3f-1201-4333-9397-bb57a4781f72","year":2024},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.541336Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:f08305808a4462d071b39b275f3e7f2d0a40387724dd0a4127b932eb8990b0dd","observation_id":"e08df093-6b68-4ae8-bd63-e066ae5f835f","resolution":{"observed_at":"2026-08-10T23:21:19.090176Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.065886Z","title":null,"venue":null,"work_id":"15a8adeb-1ce1-495e-ae9f-c0913ead7169","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.548184Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:4f827643aff302543ef842e5921666f1d6af1bf94d65b94f43080c988ccd56d8","observation_id":"1d114310-e1ac-475d-b3bb-1c53790fe928","resolution":{"observed_at":"2026-08-10T23:21:19.071265Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.048875Z","title":null,"venue":null,"work_id":"6e71a404-8461-44fb-b1e1-8f0f7d8708cc","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.554827Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:64d7b2850a843d96527cd3073b2f6299019a36d5288156731dc437c8ec56d2c0","observation_id":"2fc26fc0-c71d-4170-a92c-7b7ef3b911d2","resolution":{"observed_at":"2026-08-10T23:21:19.054222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.031053Z","title":null,"venue":null,"work_id":"f4005768-b3d8-494c-9a84-7bce28ecf757","year":2023},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.562347Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:29f186bcf69a4b50416d0d9a39b5f91691ca6de653c744e20bc388e9fc3a3932","observation_id":"af22012e-5490-4279-85bb-b6b305942e88","resolution":{"observed_at":"2026-08-10T23:21:19.036745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:21:19.012250Z","title":"L.; Lenssen, J","venue":null,"work_id":"c2338b20-9bfb-4515-b842-c9bc9a984c84","year":2022},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.569100Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:8a89f2b6bb9bbebbb2b141a96ccce8a07d82d88d609d5dd541987b5ca1a29404","observation_id":"f4d2273a-242e-45b5-9c61-149d5a3a5f55","resolution":{"observed_at":"2026-08-10T23:21:19.018059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.07035","last_updated":"2020-06-08T21:29:08Z","snapshot_observed_at":"2026-08-10T06:52:46.878866Z","submitted_at":"2018-12-17T20:13:17Z","title":"On the Continuity of Rotation Representations in Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.07035","snapshot_observed_at":"2026-08-10T23:21:18.575418Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.575418Z"},"links":{"cited_paper":"/paper/1812.07035","citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:51acc25335db25e71af210784b511621dabb0d0f17bc73db5cd7efcf124a85be","observation_id":"8d1d836f-b500-4eec-918c-cff222189d49","resolution":{"observed_at":"2026-08-10T23:21:18.575418Z","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":"2026-08-10T23:21:18.584514Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.584514Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:4c08bd37333f18319b25821e5ba6ff400b4911e08ce55ed3715ed236a01b0d91","observation_id":"22b27f73-16b1-4638-bbe1-0bef216df653","resolution":{"observed_at":"2026-08-10T23:21:18.584514Z","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":"2026-08-10T23:21:18.591388Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:18.591388Z"},"links":{"citing_paper":"/paper/2412.20657"},"observation_digest":"sha256:cfd63178b72e02cd74dad7be75cc7266ebab36a3b9a3052654c134ddce269117","observation_id":"3fcd7eb5-5f9c-4d82-b875-5cd682029f39","resolution":{"observed_at":"2026-08-10T23:21:18.591388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.20657","last_updated":"2024-12-30T02:21:43Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T23:12:04.710688Z","submitted_at":"2024-12-30T02:21:43Z","title":"Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":46,"verified_exact":5,"verified_fuzzy":7},"total_outbound_references":58},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2412.20657."}