{"as_of":"2026-08-11T16:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:14754cadda89db33733d13710d565f429554a11c482e29116896f1b38512b44e","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:35:09.361904Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.07600/citation-record","integrity":"/paper/2608.07600/integrity","json":"/paper/2608.07600/citation-record.json","paper":"/paper/2608.07600"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.00491","last_updated":"2025-08-01T10:09:38Z","snapshot_observed_at":"2026-08-06T10:11:46.525145Z","submitted_at":"2025-08-01T10:09:38Z","title":"HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning","version":1},"cited_work":{"arxiv_id":"2508.00491","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.00491","snapshot_observed_at":"2026-08-11T00:35:10.244135Z","title":"HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning","venue":"cs.RO","work_id":"22609c4f-2895-44e8-aef7-b6ca1771db2e","year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.160059Z"},"links":{"cited_paper":"/paper/2508.00491","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:00d683e0a161b7e615006d206489dc37bcd371431ae0845f73d295f3d5b5db86","observation_id":"a6f08efe-c38b-4074-9615-61c922420c8f","resolution":{"observed_at":"2026-08-11T00:35:10.248780Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13532","last_updated":"2024-04-25T05:21:21Z","snapshot_observed_at":"2026-08-01T08:53:52.895953Z","submitted_at":"2024-04-21T05:07:51Z","title":"SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertainty","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13532","snapshot_observed_at":"2026-08-11T00:35:09.165050Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.165050Z"},"links":{"cited_paper":"/paper/2404.13532","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:20634beee33b7137a0470a913d9e1b8418fcc0c4a4ad4d20edc8a7009161c694","observation_id":"6a801a9f-f27f-481a-ae1f-565c98787614","resolution":{"observed_at":"2026-08-11T00:35:09.165050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.00121","last_updated":"2022-09-30T22:38:29Z","snapshot_observed_at":"2026-08-10T11:06:12.354675Z","submitted_at":"2022-09-30T22:38:29Z","title":"Visuo-Tactile Transformers for Manipulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.00121","snapshot_observed_at":"2026-08-11T00:35:09.169724Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.169724Z"},"links":{"cited_paper":"/paper/2210.00121","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:2baabc5dc40e8cf38945303da9eca9f3bf2633cfb5c657d05e48d09e17048850","observation_id":"e76bcb4a-4bce-4f1f-9ea0-c29fc63f54f8","resolution":{"observed_at":"2026-08-11T00:35:09.169724Z","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":"2026-08-11T00:35:10.427562Z","title":"In: 2014 IEEE International Conference on Robotics and Automation (ICRA)","venue":null,"work_id":"ec4ffd2f-8201-4e3f-883f-3850c3c34688","year":2014},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.173917Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:49e9c5137529a49b7b41b9f19cf5d47ea9715b322cb94c5a07e7bf8cc1bb99b4","observation_id":"6a8dd1d4-0d0b-4b1e-a514-0958a3f5ce82","resolution":{"observed_at":"2026-08-11T00:35:10.431127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12024","last_updated":"2024-01-22T15:11:57Z","snapshot_observed_at":"2026-08-10T20:47:28.184864Z","submitted_at":"2024-01-22T15:11:57Z","title":"Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12024","snapshot_observed_at":"2026-08-11T00:35:09.177915Z","title":"org/abs/2401.12024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.177915Z"},"links":{"cited_paper":"/paper/2401.12024","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:d14dfb85aaa092f9b29a519bcfb625bcfbc8fd69f258eaf09673902065ce79e1","observation_id":"e5deb763-caed-4b28-8541-e0435e50819e","resolution":{"observed_at":"2026-08-11T00:35:09.177915Z","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":"2026-08-11T00:35:10.417743Z","title":"In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","venue":null,"work_id":"e529383c-83d2-4cb0-8eef-c877a949733b","year":2010},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.182236Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:b47a8e66206e50c7258d19b964f059ea6e71a73645fdc6a8f143098bb455f42c","observation_id":"9a1693c3-9286-46bb-afd6-c29b85dc36fe","resolution":{"observed_at":"2026-08-11T00:35:10.421267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:10.407472Z","title":"Frontiers in Neu- rorobotics15, 658280 (2021)","venue":null,"work_id":"a98f8390-ff38-4df7-a028-4055233092d9","year":2021},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.186401Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:b50379975ad4f72e66e8d6a64462c9a2eb9fb8e608337f3c0835f821f775f20f","observation_id":"b703287d-db54-469b-af7f-f430c5141536","resolution":{"observed_at":"2026-08-11T00:35:10.411017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16420","last_updated":"2025-02-23T03:26:06Z","snapshot_observed_at":"2026-08-08T11:31:45.670763Z","submitted_at":"2025-02-23T03:26:06Z","title":"AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16420","snapshot_observed_at":"2026-08-11T00:35:09.190309Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.190309Z"},"links":{"cited_paper":"/paper/2502.16420","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:bb2682f8c9b9d57c2759e810367c5075b33181292516f24d6029789feb41c45d","observation_id":"a3202b8b-ec3c-4ea7-80b5-79da09f741ba","resolution":{"observed_at":"2026-08-11T00:35:09.190309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11898","last_updated":"2024-09-26T18:47:04Z","snapshot_observed_at":"2026-07-06T17:46:25.142387Z","submitted_at":"2024-03-18T15:56:44Z","title":"VITaL Pretraining: Visuo-Tactile Pretraining for Tactile and Non-Tactile Manipulation Policies","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11898","snapshot_observed_at":"2026-08-11T00:35:09.194974Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.194974Z"},"links":{"cited_paper":"/paper/2403.11898","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:a3b79dff57c4c7193e2061c80be7679c09940d5d92c09fb3d45708a15b23ddce","observation_id":"d7c342d3-6ead-48d9-95f2-410ed35c78a4","resolution":{"observed_at":"2026-08-11T00:35:09.194974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12076","last_updated":"2023-03-21T17:59:20Z","snapshot_observed_at":"2026-08-10T20:47:38.837592Z","submitted_at":"2023-03-21T17:59:20Z","title":"Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12076","snapshot_observed_at":"2026-08-11T00:35:09.199485Z","title":"org/abs/2303.12076","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.199485Z"},"links":{"cited_paper":"/paper/2303.12076","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:706a9e5dd65b899c1f768b21c01c09e07245c4447759a89f307b3154dba12213","observation_id":"ca099244-e753-413e-9f35-9b3dc3f2f43b","resolution":{"observed_at":"2026-08-11T00:35:09.199485Z","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":"2026-08-11T00:35:10.397940Z","title":null,"venue":null,"work_id":"8dcea05f-6e8a-445d-94e9-fcc621f34aab","year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.203400Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:f0b2d0aef5586933539a4729988b58f70479aa0de33da8e243e95732af67b4c0","observation_id":"c32f8c57-cde2-41b9-a8e8-56c9d1b767ac","resolution":{"observed_at":"2026-08-11T00:35:10.401340Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.13042","last_updated":"2023-07-31T17:47:27Z","snapshot_observed_at":"2026-07-06T13:56:34.336341Z","submitted_at":"2022-09-26T21:50:39Z","title":"Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.13042","snapshot_observed_at":"2026-08-11T00:35:09.207041Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.207041Z"},"links":{"cited_paper":"/paper/2209.13042","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:1b79678ad99912d461fe7fd3254c79dbaecf06de4cf127be66d8799eca213c3f","observation_id":"959e2d07-88a6-41cb-ad06-21ee8a3dc121","resolution":{"observed_at":"2026-08-11T00:35:09.207041Z","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":"2024.34785","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:35:10.152866Z","title":"IEEE Robotics and Automation Letters 9(12), 10772–10779 (Dec 2024).https://doi.org/10.1109/lra.2024.3478571, http://dx.doi.org/10.1109/LRA.2024.3478571","venue":null,"work_id":"1ddea6a4-9de7-423c-bb4e-d3c88317523a","year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.211043Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:e7ec2d71e768afd7fc17beaa7a6f87c2ff5c93ea98e78adee1fef511edd8a75f","observation_id":"e93116c3-87d9-4c35-9a98-797faf783bc8","resolution":{"observed_at":"2026-08-11T00:35:10.159043Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.10191","last_updated":"2019-03-08T03:52:36Z","snapshot_observed_at":"2026-07-06T07:10:12.570041Z","submitted_at":"2018-10-24T05:21:22Z","title":"Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.10191","snapshot_observed_at":"2026-08-11T00:35:09.214799Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.214799Z"},"links":{"cited_paper":"/paper/1810.10191","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:a40cba44fdf0538e03cda0f18b3e1cbca03e5c6dbe77a7524f693d52354ce525","observation_id":"a227b64c-f2e8-4502-971f-7f87021fe772","resolution":{"observed_at":"2026-08-11T00:35:09.214799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13982","last_updated":"2025-07-21T13:10:44Z","snapshot_observed_at":"2026-08-10T01:50:22.026630Z","submitted_at":"2025-05-20T06:29:20Z","title":"Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13982","snapshot_observed_at":"2026-08-11T00:35:09.218510Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.218510Z"},"links":{"cited_paper":"/paper/2505.13982","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:374bb8d3ad6d3be2e0068679aaa1fa83dae1b9209e96e61454d5f1d79f62f7ef","observation_id":"ca0deaa4-291b-4067-abdb-b82853828a9d","resolution":{"observed_at":"2026-08-11T00:35:09.218510Z","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":"2026-08-11T00:35:10.388074Z","title":"Robotics and Autonomous Systems75, 352–364 (2016) AdaDexGrasp 17","venue":null,"work_id":"5d038cbc-4f56-407d-8a85-bb3e5f16b2a2","year":2016},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.222381Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:3f145d5b10c724b81119ab5382ad28cfcd57ac3cb6e48a68085bb1436f92938c","observation_id":"fc529b87-e32c-4ec1-a0ac-745694704bbf","resolution":{"observed_at":"2026-08-11T00:35:10.392252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:10.378163Z","title":"Proceedings of the 32nd ACM International Conference on Multimedia (2024),https://api","venue":null,"work_id":"275cbdf0-89eb-49ef-8f95-d29eed188b0c","year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.226275Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:b15ab0fa7dd650ee899b40ebff879b3096342422a9640f0cf1271ba56cad3c11","observation_id":"e974df91-5e8b-4da4-b041-fdffd7400313","resolution":{"observed_at":"2026-08-11T00:35:10.381793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.06322","last_updated":"2019-06-14T17:55:54Z","snapshot_observed_at":"2026-07-06T08:00:25.359981Z","submitted_at":"2019-06-14T17:55:54Z","title":"Connecting Touch and Vision via Cross-Modal Prediction","version":1},"cited_work":{"arxiv_id":"1906.06322","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.06322","snapshot_observed_at":"2026-08-11T00:35:10.046164Z","title":"Connecting Touch and Vision via Cross-Modal Prediction","venue":"cs.CV","work_id":"a15e6851-e718-4aa3-8aac-10895b716b03","year":2019},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.230802Z"},"links":{"cited_paper":"/paper/1906.06322","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:525a9a88875088dbe6db929860bcb28a1045e1b644572c4ec0a8ea44a745e582","observation_id":"63d87404-7d69-4810-ac15-19687ffb43fc","resolution":{"observed_at":"2026-08-11T00:35:10.051319Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:09.234448Z","title":"In: 2024 IEEE International Conference on Robotics and Automation (ICRA)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.234448Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:2bc56c7e09ecaa799bc3fb9e7c5b6ea00d2b2f162f233b450ff5803b01d034c8","observation_id":"20741f78-b92e-4738-909b-76e54c8cd3e2","resolution":{"observed_at":"2026-08-11T00:35:09.234448Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19464","last_updated":"2024-11-04T02:21:30Z","snapshot_observed_at":"2026-07-06T18:38:09.490968Z","submitted_at":"2024-06-27T18:06:38Z","title":"ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19464","snapshot_observed_at":"2026-08-11T00:35:09.238246Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.238246Z"},"links":{"cited_paper":"/paper/2406.19464","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:451705cb3519d9d7d35bd7c44859cd86be66f198d8cc2d7d831c12f2479b54e4","observation_id":"84a36212-dd49-40e4-a3c5-2c67f3e8b0a2","resolution":{"observed_at":"2026-08-11T00:35:09.238246Z","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":"2026-08-11T00:35:10.368578Z","title":null,"venue":null,"work_id":"17778426-6b3f-4d6d-8682-f5956584cc0f","year":2023},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.242152Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:7a3d46d5a1bcdc48680ad473e1c2f7952b8ed027e2c6080c4df8201c911d892c","observation_id":"168be9d4-152c-447c-8187-b1d9ecf13e36","resolution":{"observed_at":"2026-08-11T00:35:10.371797Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:10.358527Z","title":"Mechatronics48, 54–67 (2017)","venue":null,"work_id":"6413125e-5c51-4ea7-a983-cb33557f8322","year":2017},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.246520Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:2cfe41d750cd9adab39de53e9674ef9777aa1cf17b7e90c0397804291213137b","observation_id":"1b1e1df0-a2c8-48e4-b805-3fa2c7a411c3","resolution":{"observed_at":"2026-08-11T00:35:10.362076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-11T00:35:09.250267Z","title":"org/abs/2108.10470","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.250267Z"},"links":{"cited_paper":"/paper/2108.10470","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:86cce143c09487110fec2e4e525b640d0ca0542137d7ac2f137d69512410dd12","observation_id":"b2135adb-2d76-4ce7-8f24-1891da2acdea","resolution":{"observed_at":"2026-08-11T00:35:09.250267Z","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":"2026-08-11T00:35:10.348587Z","title":"In: 2021 IEEE international conference on robotics and automation (ICRA)","venue":null,"work_id":"d0edd82d-ec2b-498e-97f7-5456122c6ba6","year":2021},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.253925Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:e7a4d75d62784c416917e8603a5981d8d6b333b6e92183542fa74338aa29eab8","observation_id":"70aa79ce-a68d-4792-971e-8893827a152e","resolution":{"observed_at":"2026-08-11T00:35:10.351997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:10.339456Z","title":"In: Conference on Robot Learning","venue":null,"work_id":"2b689097-745b-4241-a5cb-b496f199e805","year":2022},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.257029Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:c249638f4c5e68ae027c339e7dcb95e1732147627f3feb2c3b01351f23137306","observation_id":"6c066423-651b-4417-a499-359d35507378","resolution":{"observed_at":"2026-08-11T00:35:10.342848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:09.260820Z","title":"In: 2022 International Joint Conference on Neural Networks (IJCNN)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.260820Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:82197f01d3c8c22ec5e7d225939625aa13509d9a7d1eec2caad8ca254cf48955","observation_id":"66871371-4dd5-4c12-886d-52c67821bb9d","resolution":{"observed_at":"2026-08-11T00:35:09.260820Z","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":"2026-08-11T00:35:10.329666Z","title":"In: Conference on robot learning","venue":null,"work_id":"c542e9d6-40a7-44ce-bcd1-c3f695655a64","year":2020},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.264506Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:b8edf690ebbe977b99ea541a98c345ffd16b018ab51c14ff2a1dab313bdf83fa","observation_id":"1511b8a5-8597-4cc1-985c-dfc2d8786d79","resolution":{"observed_at":"2026-08-11T00:35:10.333081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:10.319606Z","title":"In: Proceedings 2000 ICRA","venue":null,"work_id":"c11c339f-cae1-40c8-bdf1-9cf17479a60b","year":2000},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.267665Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:fad11b864539e7bf1757fbf865620cdb19133e2589b2fd14a06019ebfcebde11","observation_id":"9c1d045a-1d64-47b0-ac56-2231d47038df","resolution":{"observed_at":"2026-08-11T00:35:10.322963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02137","last_updated":"2024-03-28T16:50:37Z","snapshot_observed_at":"2026-08-07T13:46:20.523957Z","submitted_at":"2023-12-04T18:56:22Z","title":"MANUS: Markerless Grasp Capture using Articulated 3D Gaussians","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02137","snapshot_observed_at":"2026-08-11T00:35:09.271120Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.271120Z"},"links":{"cited_paper":"/paper/2312.02137","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:97dad922bb86b9d4e7dfc1e7bbddf396681fd5c11393db4361494bd771349507","observation_id":"0628a1c6-217a-4ca6-99b4-37b8306266fa","resolution":{"observed_at":"2026-08-11T00:35:09.271120Z","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":"2026-07-06T06:01:51.192687Z","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":"2026-08-11T00:35:09.274895Z","title":"arXiv preprint arXiv:1709.10087 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.274895Z"},"links":{"cited_paper":"/paper/1709.10087","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:c86a28089f6fc404a1e80e9d36a93f22f212c108dde23946adbbebcd913bf214","observation_id":"9ce93418-54c4-4d3a-8618-c6dc5eea16e4","resolution":{"observed_at":"2026-08-11T00:35:09.274895Z","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":"2026-07-06T02:11:23.670680Z","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":"2026-08-11T00:35:09.278515Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.278515Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:1ed9ba31d38cdc443c4244c316dd644a58090197647fd210e418df84d5c97c03","observation_id":"256db417-829d-4791-9e0d-0e30f6817097","resolution":{"observed_at":"2026-08-11T00:35:09.278515Z","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":"2026-08-11T00:35:09.281968Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.281968Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:da2c669f9db61f74047204f7e9dbc65163f293e27f00dc4291bf58a0bf949ebf","observation_id":"94ef7962-8c05-4a31-b958-25a445d59a8a","resolution":{"observed_at":"2026-08-11T00:35:09.281968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.00464","last_updated":"2023-04-04T03:05:50Z","snapshot_observed_at":"2026-08-11T04:54:54.923844Z","submitted_at":"2023-04-02T06:32:19Z","title":"UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.00464","snapshot_observed_at":"2026-08-11T00:35:09.285279Z","title":"Liang et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.285279Z"},"links":{"cited_paper":"/paper/2304.00464","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:7c287b1656afe4d9c59a78e1c0586e5e9769f7286ba3d9ec346321267bb303e1","observation_id":"58ed52b5-5d53-4d06-8de8-c8056eac2870","resolution":{"observed_at":"2026-08-11T00:35:09.285279Z","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":"2026-08-11T00:35:10.309945Z","title":null,"venue":null,"work_id":"03d4b95e-ecc3-44d5-a03b-a7bb559f074f","year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.289201Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:53f952eb7887498e2588c189221e12d2dcd52e61c77e86a013527dada7a15ca8","observation_id":"92ec01ff-166b-44e9-b9af-dd3a5135e10d","resolution":{"observed_at":"2026-08-11T00:35:10.313579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:09.292661Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.292661Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:32fe2baa4b65e2076c457f6921c9f4e8ecc2d23ace1ed4ba3a7f6c2dddc28840","observation_id":"e63c2e3b-8fa0-408e-928f-22b9de511934","resolution":{"observed_at":"2026-08-11T00:35:09.292661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00929","last_updated":"2024-06-14T14:10:19Z","snapshot_observed_at":"2026-08-10T00:04:34.746993Z","submitted_at":"2024-01-01T18:20:43Z","title":"GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation","version":2},"cited_work":{"arxiv_id":"2401.00929","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.00929","snapshot_observed_at":"2026-08-11T00:35:09.671553Z","title":"GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation","venue":"cs.RO","work_id":"502951af-fc6b-4554-be1c-49d0e3887dca","year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.296222Z"},"links":{"cited_paper":"/paper/2401.00929","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:dc13ecb682a923db7b7f440ddd693b5250bef302ac2e6a65e389266a47b66e51","observation_id":"d25fb28c-f756-4f6d-904c-29a06e72e4e5","resolution":{"observed_at":"2026-08-11T00:35:09.675549Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.14860","last_updated":"2023-09-26T11:37:20Z","snapshot_observed_at":"2026-07-06T16:23:49.494509Z","submitted_at":"2023-09-26T11:37:20Z","title":"A Wearable Robotic Hand for Hand-over-Hand Imitation Learning","version":1},"cited_work":{"arxiv_id":"2309.14860","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.14860","snapshot_observed_at":"2026-08-11T00:35:09.657399Z","title":"A Wearable Robotic Hand for Hand-over-Hand Imitation Learning","venue":"cs.RO","work_id":"50d828e2-fad1-43bf-8fa5-e8624737ec7d","year":2023},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.300158Z"},"links":{"cited_paper":"/paper/2309.14860","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:f6518cc94de2a558e1badea989b2d07d756ee33d31453feb406f0ac1290440ad","observation_id":"bc9f7949-4613-4598-b20b-984707b7d1ac","resolution":{"observed_at":"2026-08-11T00:35:09.661412Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01702","last_updated":"2025-03-14T07:49:02Z","snapshot_observed_at":"2026-08-10T10:35:42.323936Z","submitted_at":"2024-10-02T16:12:18Z","title":"$\\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01702","snapshot_observed_at":"2026-08-11T00:35:09.303741Z","title":"arXiv preprint arXiv:2410.01702 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.303741Z"},"links":{"cited_paper":"/paper/2410.01702","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:57564881592d037cebe1c8091b59a003fab7208303c26ca6b5c5e7fa7293547f","observation_id":"ee509287-a5c3-4ceb-a97e-786d8d727ed8","resolution":{"observed_at":"2026-08-11T00:35:09.303741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02989","last_updated":"2024-11-06T16:33:29Z","snapshot_observed_at":"2026-08-11T00:03:40.184291Z","submitted_at":"2024-02-05T13:27:41Z","title":"DexDiffuser: Generating Dexterous Grasps with Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02989","snapshot_observed_at":"2026-08-11T00:35:09.307526Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.307526Z"},"links":{"cited_paper":"/paper/2402.02989","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:cc241c90a52f3ba98086309b014d11c36f1872242f66f34c335745468179887d","observation_id":"0e361441-a353-4b4e-a9e8-8d55e3399e5f","resolution":{"observed_at":"2026-08-11T00:35:09.307526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17549","last_updated":"2025-06-16T07:40:29Z","snapshot_observed_at":"2026-08-02T05:14:13.602730Z","submitted_at":"2024-09-26T05:37:52Z","title":"Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17549","snapshot_observed_at":"2026-08-11T00:35:09.311227Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.311227Z"},"links":{"cited_paper":"/paper/2409.17549","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:80564d286b9f998e24ba0958de662ab326b7fabe23bf3524650499cc3a0335c3","observation_id":"dfa1778a-0280-46a5-a49f-b937bd988d47","resolution":{"observed_at":"2026-08-11T00:35:09.311227Z","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":"2026-08-11T00:35:10.299602Z","title":"In: Conference on Robot Learning","venue":null,"work_id":"5dcd86d0-8725-4a0a-951b-74f43979d78c","year":2023},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.314809Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:c597d4b7150ced58677be552053b30c238837b517475a14efe07f1c092e73e80","observation_id":"69bce8fd-c107-4f34-9ebe-163ce9d594dc","resolution":{"observed_at":"2026-08-11T00:35:10.303233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06822","last_updated":"2025-07-09T13:11:12Z","snapshot_observed_at":"2026-08-06T18:51:18.721081Z","submitted_at":"2025-07-09T13:11:12Z","title":"Hierarchical Reinforcement Learning for Articulated Tool Manipulation with Multifingered Hand","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06822","snapshot_observed_at":"2026-08-11T00:35:09.318336Z","title":"org/abs/2507.06822","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.318336Z"},"links":{"cited_paper":"/paper/2507.06822","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:939f6ca35cc24a0623e04b8f3b55976d240a0c8a90b8d9c5b74ed94a753813d1","observation_id":"101232cd-47b5-45dd-a691-9dccf0e64b6f","resolution":{"observed_at":"2026-08-11T00:35:09.318336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.00938","last_updated":"2023-03-25T07:35:32Z","snapshot_observed_at":"2026-07-06T14:57:39.647497Z","submitted_at":"2023-03-02T03:23:18Z","title":"UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.00938","snapshot_observed_at":"2026-08-11T00:35:09.321972Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.321972Z"},"links":{"cited_paper":"/paper/2303.00938","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:859cbb5e858ba68b590ec818bce96a47d79bd40d9775bf81c759a37e4d6fd7c4","observation_id":"0a611b6a-3934-4b96-b0bb-c800144acb45","resolution":{"observed_at":"2026-08-11T00:35:09.321972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02881","last_updated":"2025-04-23T10:45:38Z","snapshot_observed_at":"2026-08-07T17:29:34.612354Z","submitted_at":"2025-03-04T18:58:21Z","title":"Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02881","snapshot_observed_at":"2026-08-11T00:35:09.325891Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.325891Z"},"links":{"cited_paper":"/paper/2503.02881","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:4c5df7b2ad4451f3bae1ab0bad4123886ecb171d59844f89d49c3bcba837baa8","observation_id":"0621186b-ec42-4f02-9d05-b704e311022d","resolution":{"observed_at":"2026-08-11T00:35:09.325891Z","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":"2026-08-11T00:35:10.289237Z","title":"In: Robotics: Science and Systems (RSS) (2025)","venue":null,"work_id":"9451a53f-cf00-4429-8015-2ae33366d348","year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.330008Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:a02c4ca5bec4ae4c4e73f13dfd4db35ee3e4ffd0c884fd10dd43e1f6dea5f804","observation_id":"f7d71eb3-47b7-4783-81df-51682c11443a","resolution":{"observed_at":"2026-08-11T00:35:10.292720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07885","last_updated":"2025-05-19T18:18:39Z","snapshot_observed_at":"2026-07-06T18:44:24.873040Z","submitted_at":"2024-07-10T17:52:30Z","title":"Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07885","snapshot_observed_at":"2026-08-11T00:35:09.333623Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.333623Z"},"links":{"cited_paper":"/paper/2407.07885","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:4322d4f6328239f3455ce3aa7a8b8fe4cb79ef25e7a9601e9acb6f4337ebb8ad","observation_id":"07a2a671-7879-4f90-8dcd-28c5975603a6","resolution":{"observed_at":"2026-08-11T00:35:09.333623Z","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":"2026-08-11T00:35:10.278761Z","title":null,"venue":null,"work_id":"4ed61eba-a7de-4354-b778-381eecc05835","year":2023},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.337383Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:63eac4d03a31bf1e22e4b1a64201a601d4e5a0e1c0d8b11d799c70a05b9fe5c1","observation_id":"1c19a806-a3b8-42e8-8617-74e7dcce3ed4","resolution":{"observed_at":"2026-08-11T00:35:10.282272Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.35189","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T00:35:09.579676Z","title":"IEEE Transactions on Cybernetics55(2), 840–853 (2025).https://doi.org/10.1109/ TCYB.2024.3518975","venue":null,"work_id":"8e838745-0cc4-43ad-87b5-1e28af9e1e5b","year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.340779Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:89324cc39fafa02b910803d436e2b0fcfdef39d50c2477c196e9a18b0056c66d","observation_id":"81eb5427-a1bd-40cb-bf47-20c05f487a56","resolution":{"observed_at":"2026-08-11T00:35:09.584971Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.05287","last_updated":"2025-08-14T15:38:51Z","snapshot_observed_at":"2026-08-11T13:56:52.510208Z","submitted_at":"2025-04-07T17:38:19Z","title":"RobustDexGrasp: Robust Dexterous Grasping of General Objects","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.05287","snapshot_observed_at":"2026-08-11T00:35:09.344118Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.344118Z"},"links":{"cited_paper":"/paper/2504.05287","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:ebe1ee683af37a8d5054723d61c21e948109c48ba11aa21a602e45e158ce9a88","observation_id":"111a8094-9097-4173-981e-946c2a268450","resolution":{"observed_at":"2026-08-11T00:35:09.344118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23004","last_updated":"2024-10-30T13:30:39Z","snapshot_observed_at":"2026-08-06T13:31:28.382428Z","submitted_at":"2024-10-30T13:30:39Z","title":"DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23004","snapshot_observed_at":"2026-08-11T00:35:09.347867Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.347867Z"},"links":{"cited_paper":"/paper/2410.23004","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:85d5f54a9870f0b4c39d7891c9779642a8ead22bf7e7cac9ea33d4d4b89856c3","observation_id":"70043f8f-3a15-4271-839b-e908b3a090f6","resolution":{"observed_at":"2026-08-11T00:35:09.347867Z","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":"2026-08-11T00:35:10.268058Z","title":null,"venue":null,"work_id":"02328ecc-9a07-4009-9e31-5d71507a6bd5","year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.351526Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:af988eeeaef09b54ed8fed109d3d9105466cb40f4548454198b1bb69b41aa1ac","observation_id":"6e8c0ed8-e276-4ace-9c28-41f79cc974bc","resolution":{"observed_at":"2026-08-11T00:35:10.271636Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09310","last_updated":"2024-05-16T02:41:12Z","snapshot_observed_at":"2026-08-06T05:40:14.720794Z","submitted_at":"2024-05-15T13:08:27Z","title":"GrainGrasp: Dexterous Grasp Generation with Fine-grained Contact Guidance","version":2},"cited_work":{"arxiv_id":"2405.09310","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.09310","snapshot_observed_at":"2026-08-11T00:35:09.485668Z","title":"GrainGrasp: Dexterous Grasp Generation with Fine-grained Contact Guidance","venue":"cs.RO","work_id":"cd7fe6ec-5e43-4fc2-8e88-c583e0a93b28","year":2024},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.354837Z"},"links":{"cited_paper":"/paper/2405.09310","citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:4bb4b886719839dc74a7ec1eea72566250b704ba4a770d477b4f587f7849cbf5","observation_id":"e7f56bfc-2faa-4680-b2f2-a3d3a97a7e3f","resolution":{"observed_at":"2026-08-11T00:35:09.491735Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-11T00:35:09.358405Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.358405Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:16be826c08add1ed4abce4d3b33acac9bc53740c6da16639c84a33f580d546b4","observation_id":"78c20eef-10f6-4348-8e34-7e6fe246a779","resolution":{"observed_at":"2026-08-11T00:35:09.358405Z","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":"2026-08-11T00:35:10.257383Z","title":"08257 20 X","venue":null,"work_id":"f75c43e2-2e57-4a18-8b13-03f882aa6a54","year":2025},"citing_paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T00:35:09.361904Z"},"links":{"citing_paper":"/paper/2608.07600"},"observation_digest":"sha256:9724d7bfb50583d63419dbaa4a66ddcfe123cae71d8387305981786638a08ecf","observation_id":"e98742db-da81-4c2b-9ad3-11d5311904da","resolution":{"observed_at":"2026-08-11T00:35:10.261255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.07600","last_updated":"2026-08-06T16:29:11Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-11T16:13:48.055342Z","submitted_at":"2026-08-06T16:29:11Z","title":"AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":2,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":33,"verified_exact":5,"verified_fuzzy":13},"total_outbound_references":54},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2608.07600."}