{"as_of":"2026-08-05T03:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:48afba17208aab4dc1790c4c1db26c46a14139aa54bcace96612a21322a8d904","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T06:18:55.227941Z","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":"2026-07-08T05:34:32.414139Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2507.12440","last_updated":"2025-07-18T07:18:39Z","snapshot_observed_at":"2026-07-06T21:58:13.740929Z","submitted_at":"2025-07-16T17:27:44Z","title":"EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-21T04:32:58.733165Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2507.12440"},"observation_digest":"sha256:38659a9e7e08a36d19fdf52575de4b30938d45a5e1a804f990a198c3af5fb67f","observation_id":"e0d8c426-7f7d-4c62-8b9b-a8c896f144c2","resolution":{"observed_at":"2026-05-21T04:32:58.812986Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2603.28045","last_updated":"2026-04-06T07:59:43Z","snapshot_observed_at":"2026-08-02T05:15:21.868616Z","submitted_at":"2026-03-30T05:11:57Z","title":"Event6D: Event-based Novel Object 6D Pose Tracking","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-14T22:07:47.744518Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2603.28045"},"observation_digest":"sha256:29d77bcf5ca6a04aaf24bdcd5244edb82303d058c9cd7bee5670deade573592f","observation_id":"740641ac-7551-4de4-a1f3-56d7f2a08af2","resolution":{"observed_at":"2026-05-14T22:08:03.025382Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2604.03305","last_updated":"2026-03-31T01:28:42Z","snapshot_observed_at":"2026-07-30T07:10:43.620755Z","submitted_at":"2026-03-31T01:28:42Z","title":"HVG-3D: Bridging Real and Simulation Domains for 3D-Conditional Hand-Object Interaction Video Synthesis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-14T00:14:36.537688Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2604.03305"},"observation_digest":"sha256:202245b52953abe63e8862ebeb2714e02810845ff4df17194521fad162c5cba4","observation_id":"ce70a7d7-fdff-4c62-b855-12dc61b7a2e6","resolution":{"observed_at":"2026-05-14T00:18:30.075107Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2604.07607","last_updated":"2026-07-07T17:04:24Z","snapshot_observed_at":"2026-07-13T08:25:19.322550Z","submitted_at":"2026-04-08T21:27:06Z","title":"EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T17:07:41.489995Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2604.07607"},"observation_digest":"sha256:883dffba99cc503f221cb48cebb5fd2e58d698cd9570600b4bafca6d6aa8ce36","observation_id":"a52deddf-edd6-49fd-9ded-4bbf4c260c0f","resolution":{"observed_at":"2026-05-11T07:35:56.907278Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-13T08:25:22.011013Z","title":"Introducing hot3d: An egocentric dataset for 3d hand and object tracking.arXiv preprint arXiv:2406.09598, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.07607","last_updated":"2026-07-07T17:04:24Z","snapshot_observed_at":"2026-07-13T08:25:19.322550Z","submitted_at":"2026-04-08T21:27:06Z","title":"EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T08:25:22.011013Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2604.07607"},"observation_digest":"sha256:7d6f677c0ad6b5143871e487bc8067801dc921ed0bd0b5488e2621003968db66","observation_id":"31def617-b469-4ee1-9002-ddd02c526795","resolution":{"observed_at":"2026-07-13T08:25:22.011013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2605.05925","last_updated":"2026-06-17T05:38:56Z","snapshot_observed_at":"2026-08-01T19:54:34.417008Z","submitted_at":"2026-05-07T09:31:43Z","title":"DexSynRefine: Synthesizing and Refining Human-Object Interaction Motion for Physically Feasible Dexterous Robot Actions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T09:19:28.469433Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.05925"},"observation_digest":"sha256:78232af8f086e35842dd9614dada5d7f83bed2f2e426f248aea7c78637de7a31","observation_id":"8f6a2e16-f79a-46f0-933a-5802ca762ca0","resolution":{"observed_at":"2026-05-11T20:21:12.449922Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2605.05925","last_updated":"2026-06-17T05:38:56Z","snapshot_observed_at":"2026-08-01T19:54:34.417008Z","submitted_at":"2026-05-07T09:31:43Z","title":"DexSynRefine: Synthesizing and Refining Human-Object Interaction Motion for Physically Feasible Dexterous Robot Actions","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T23:39:20.822063Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.05925"},"observation_digest":"sha256:23187484d17dac826444cdd15f9b995c3b8b1a07e377a90c09f5e47a9a06cae1","observation_id":"ba0a85ab-4ac2-41b6-bc39-d56cef70972c","resolution":{"observed_at":"2026-06-30T23:45:08.313696Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2605.12498","last_updated":"2026-05-12T17:59:56Z","snapshot_observed_at":"2026-08-02T07:31:09.903909Z","submitted_at":"2026-05-12T17:59:56Z","title":"EgoForce: Forearm-Guided Camera-Space 3D Hand Pose from a Monocular Egocentric Camera","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-13T05:25:34.841484Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.12498"},"observation_digest":"sha256:efbc2230668418d2f9f55ffbc42eaf33da7ca80f97268d145145f59f808a4430","observation_id":"f411d7ce-2bf1-47bd-80ad-7da44d163b0d","resolution":{"observed_at":"2026-05-13T05:27:18.457935Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2605.15195","last_updated":"2026-05-14T17:59:51Z","snapshot_observed_at":"2026-07-06T23:26:32.979566Z","submitted_at":"2026-05-14T17:59:51Z","title":"VGGT-$\\Omega$","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T20:31:32.625856Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.15195"},"observation_digest":"sha256:1626ff83e2aa001b9cfcea49c0c6a7d1a9955b02e8338d72a1e655807de445f6","observation_id":"b1c1b62f-2909-417b-a2e7-f6ca40e93420","resolution":{"observed_at":"2026-06-30T20:35:02.585771Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2605.15753","last_updated":"2026-07-13T07:50:03Z","snapshot_observed_at":"2026-08-04T03:04:58.270891Z","submitted_at":"2026-05-15T09:14:50Z","title":"Hierarchical and Holistic Open-Vocabulary Functional 3D Scene Graphs for Indoor Spaces","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T18:58:03.292462Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.15753"},"observation_digest":"sha256:153f9247a4f28a67742a5231edf6d875573d139359200bb314259589b46757cb","observation_id":"7a5d8639-1194-47f6-8e62-1b5525af144d","resolution":{"observed_at":"2026-05-20T18:58:53.871846Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-14T18:57:01.411782Z","title":"arXiv preprint arXiv:2406.09598 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.15753","last_updated":"2026-07-13T07:50:03Z","snapshot_observed_at":"2026-08-04T03:04:58.270891Z","submitted_at":"2026-05-15T09:14:50Z","title":"Hierarchical and Holistic Open-Vocabulary Functional 3D Scene Graphs for Indoor Spaces","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T18:57:01.411782Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.15753"},"observation_digest":"sha256:39c9f8af7c4a9b80f92a0b95d1554b35186c867c9e9ffdfb812a98bf4fdfc94c","observation_id":"7375437d-810c-4102-8055-c3bdba186f2b","resolution":{"observed_at":"2026-07-14T18:57:01.411782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2605.16797","last_updated":"2026-05-16T03:59:17Z","snapshot_observed_at":"2026-07-06T23:27:52.850836Z","submitted_at":"2026-05-16T03:59:17Z","title":"EgoKit: Towards Unified Low-Cost Egocentric Data Collection with Heterogeneous Devices","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-19T21:20:56.830588Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.16797"},"observation_digest":"sha256:2c195a7f63586aa84d64d2e948d977799fe6c582a280f776c5a51f628ce4f7d2","observation_id":"9599988e-8354-4170-b1f3-cf2dbdb5ec7b","resolution":{"observed_at":"2026-05-19T21:22:47.707950Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2605.18553","last_updated":"2026-05-18T15:33:15Z","snapshot_observed_at":"2026-07-31T10:37:05.848827Z","submitted_at":"2026-05-18T15:33:15Z","title":"StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T11:11:21.610700Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.18553"},"observation_digest":"sha256:0b9def105b15c38aa6358e67c64446850ad29a774e3b3e8a15ee565e2e0a2a41","observation_id":"579725d5-026c-4468-87e6-c9ef46ae59ef","resolution":{"observed_at":"2026-05-20T11:13:13.395476Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2605.24934","last_updated":"2026-05-28T10:10:45Z","snapshot_observed_at":"2026-07-06T23:34:57.148983Z","submitted_at":"2026-05-24T08:26:41Z","title":"HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-30T01:02:58.035784Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2605.24934"},"observation_digest":"sha256:e0941fedc3e7225710c87ca25d0a5be089c5738563106307d4dcf80b41ddefed","observation_id":"96d8bbf1-3d7b-42ef-a42b-f30d1e089ac8","resolution":{"observed_at":"2026-07-01T15:45:48.720146Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":"2406.09598","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-08T05:34:32.414139Z","title":"Banerjee, S","venue":"cs.CV","work_id":"4f3adc8d-0053-4df7-985f-42142d1ccd99","year":2024},"citing_paper":{"arxiv_id":"2607.06468","last_updated":"2026-07-07T16:28:10Z","snapshot_observed_at":"2026-08-01T13:43:06.814907Z","submitted_at":"2026-07-07T16:28:10Z","title":"EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T05:25:07.553526Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2607.06468"},"observation_digest":"sha256:56e6cf0671164defa327ad1a1db8beff52d6dae479bb30acc87a6ffc042b5a7c","observation_id":"a8bcdee8-e012-4e9c-8a2c-ef2701083d5f","resolution":{"observed_at":"2026-07-08T05:34:32.415505Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09598","snapshot_observed_at":"2026-07-31T06:18:55.227941Z","title":"Introducing hot3d: an egocentric dataset for 3D hand and object tracking.arXiv preprint arXiv:2406.09598, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24744","last_updated":"2026-07-27T17:59:58Z","snapshot_observed_at":"2026-07-31T06:18:51.908689Z","submitted_at":"2026-07-27T17:59:58Z","title":"Data Pyramid for Embodied Manipulation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-31T06:18:55.227941Z"},"links":{"cited_paper":"/paper/2406.09598","citing_paper":"/paper/2607.24744"},"observation_digest":"sha256:212300d44731e0efd999dc4631fc10d9d69df88f24b8776473f44274cb3c8a60","observation_id":"5b3869e3-d220-4999-a32c-3422957ec70c","resolution":{"observed_at":"2026-07-31T06:18:55.227941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.09598/citation-record","integrity":"/paper/2406.09598/integrity","json":"/paper/2406.09598/citation-record.json","paper":"/paper/2406.09598"},"outbound":[],"paper":{"arxiv_id":"2406.09598","last_updated":"2024-06-13T21:38:17Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:30:41.802045Z","submitted_at":"2024-06-13T21:38:17Z","title":"Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2406.09598."}