{"as_of":"2026-08-14T11:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cce48a6ba06926a12e5152b09f3d851fffaa8e9d5863b4b44d55e89e6f8cf9dd","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":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":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":54,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T21:10:46.132815Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2403.09631","last_updated":"2024-03-14T17:58:41Z","snapshot_observed_at":"2026-08-13T15:09:51.205767Z","submitted_at":"2024-03-14T17:58:41Z","title":"3D-VLA: A 3D Vision-Language-Action Generative World Model","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-13T18:18:27.211034Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2403.09631"},"observation_digest":"sha256:887e7cf3de0299d64cfd70e8c0ae1ddc8ba19ce41fedb5b5c53d942e570fb26e","observation_id":"2ebb3c51-960b-47df-8712-0be93cd09567","resolution":{"observed_at":"2026-05-13T18:18:27.269979Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-12T21:10:46.132815Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.09052","last_updated":"2024-11-13T22:15:31Z","snapshot_observed_at":"2026-08-14T02:05:00.919929Z","submitted_at":"2024-11-13T22:15:31Z","title":"ClevrSkills: Compositional Language and Visual Reasoning in Robotics","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T21:10:46.132815Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2411.09052"},"observation_digest":"sha256:01767d1e2667b87e088465e964abf5904cc03c1f573fbb34b33b7a4558ceb693","observation_id":"c7bbe259-a24f-433e-846a-055869b5165f","resolution":{"observed_at":"2026-08-12T21:10:46.132815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-07T15:03:58.569221Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.16640","last_updated":"2025-05-22T13:12:46Z","snapshot_observed_at":"2026-08-13T00:46:07.296703Z","submitted_at":"2025-05-22T13:12:46Z","title":"BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:03:58.569221Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2505.16640"},"observation_digest":"sha256:cdcfa9cefb413724c472c4f9b7a397ddb5cc002d2f8c1bddae2532874860b7cd","observation_id":"fa4830ef-b66a-4cd3-8da9-0cd4010c3092","resolution":{"observed_at":"2026-08-07T15:03:58.569221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-07T14:52:56.155091Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17295","last_updated":"2026-06-19T05:34:00Z","snapshot_observed_at":"2026-08-10T21:05:39.314224Z","submitted_at":"2025-05-22T21:22:50Z","title":"ScanBot: A Benchmark for Precision Robotic Surface Scanning with Industrial Laser Profilers","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:52:56.155091Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2505.17295"},"observation_digest":"sha256:9557c00a43e3c9153a62aa1f188c20493ac0c8f9b791acb226b0fe7a9826bf5a","observation_id":"b4a986f9-9ddd-434e-acbf-8e3da48c5276","resolution":{"observed_at":"2026-08-07T14:52:56.155091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-07T13:43:00.431971Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21200","last_updated":"2025-05-27T13:47:18Z","snapshot_observed_at":"2026-08-08T00:46:30.376951Z","submitted_at":"2025-05-27T13:47:18Z","title":"Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:43:00.431971Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2505.21200"},"observation_digest":"sha256:946380bd6f6b7a538696cfa086c5566b618bcb31f3d2041815669da526696921","observation_id":"e6e1485c-b068-44a3-b2bd-e5fe14d36143","resolution":{"observed_at":"2026-08-07T13:43:00.431971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-07T12:16:11.643782Z","title":"RH20T: Learning Diverse Robot Skills in One-Shot from Human Videos and Language,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00220","last_updated":"2025-05-30T20:48:32Z","snapshot_observed_at":"2026-08-10T06:17:21.248819Z","submitted_at":"2025-05-30T20:48:32Z","title":"Curate, Connect, Inquire: A System for Findable Accessible Interoperable and Reusable (FAIR) Human-Robot Centered Datasets","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:16:11.643782Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2506.00220"},"observation_digest":"sha256:485ba7f544d4f9ae23fb96b12460e99b17b69b130e6cee31b1af68d60067d2d7","observation_id":"929ea839-0fe2-49f9-959c-23016c27871b","resolution":{"observed_at":"2026-08-07T12:16:11.643782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-07T06:03:30.403892Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06199","last_updated":"2025-06-06T16:00:31Z","snapshot_observed_at":"2026-08-07T16:39:23.915537Z","submitted_at":"2025-06-06T16:00:31Z","title":"3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T06:03:30.403892Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2506.06199"},"observation_digest":"sha256:f853d75312ebc02827b510937d6b57d2d9d2627a850cb7032f61e92908e4ee16","observation_id":"59357bba-8ca5-40b9-a2e9-954fbea325b1","resolution":{"observed_at":"2026-08-07T06:03:30.403892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-06T21:07:23.240619Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.01016","last_updated":"2025-07-01T17:59:44Z","snapshot_observed_at":"2026-08-13T09:50:12.385424Z","submitted_at":"2025-07-01T17:59:44Z","title":"VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:07:23.240619Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2507.01016"},"observation_digest":"sha256:f420518edcd0854f0ba05a310431ab9450f60d6b603d8304cc4ae9968a74daa1","observation_id":"c5c4ba28-880a-40a5-b658-21c9594fb4d5","resolution":{"observed_at":"2026-08-06T21:07:23.240619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-06T10:48:18.922650Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23523","last_updated":"2025-08-01T06:30:43Z","snapshot_observed_at":"2026-08-14T01:02:55.742291Z","submitted_at":"2025-07-31T13:06:59Z","title":"H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T10:48:18.922650Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2507.23523"},"observation_digest":"sha256:a26caeeb9ba22cfa2331e99b286aca9e9baea5a80e814b666c1869e09dff4beb","observation_id":"53d7631c-ced8-4844-ab21-464e61491e6f","resolution":{"observed_at":"2026-08-06T10:48:18.922650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T22:50:43.729725Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06426","last_updated":"2025-08-08T16:14:01Z","snapshot_observed_at":"2026-08-13T16:51:25.695974Z","submitted_at":"2025-08-08T16:14:01Z","title":"Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T22:50:43.729725Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2508.06426"},"observation_digest":"sha256:8a49424b34b30fa7877cc32f1cdd81eda3c0d6362f9d5eb31fe1a50d9e5dd769","observation_id":"bc57f425-7c03-4d5d-8ed3-94af877b7218","resolution":{"observed_at":"2026-08-05T22:50:43.729725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T22:46:42.429414Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06429","last_updated":"2025-08-08T16:16:43Z","snapshot_observed_at":"2026-08-09T06:56:02.033235Z","submitted_at":"2025-08-08T16:16:43Z","title":"SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T22:46:42.429414Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2508.06429"},"observation_digest":"sha256:3929a596e962f36a635a2c079f59394e2b6cf0ab36d1701205baf793ac8d9d56","observation_id":"69f9e508-ef6f-4c94-a9b8-0c79ba3738fc","resolution":{"observed_at":"2026-08-05T22:46:42.429414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-04T10:44:30.376454Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.08807","last_updated":"2026-07-04T03:31:36Z","snapshot_observed_at":"2026-08-04T10:44:29.379805Z","submitted_at":"2025-10-09T20:43:27Z","title":"Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T10:44:30.376454Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2510.08807"},"observation_digest":"sha256:22cb47db67ed34d59a92b759bfbd0088930b10c7a8cb169605ae1b6709985bd1","observation_id":"a79c1597-afcb-4803-b75d-075d590443d4","resolution":{"observed_at":"2026-08-04T10:44:30.376454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2511.17441","last_updated":"2026-04-13T12:31:35Z","snapshot_observed_at":"2026-08-14T08:08:04.254754Z","submitted_at":"2025-11-21T17:39:22Z","title":"RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-17T20:16:16.133013Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2511.17441"},"observation_digest":"sha256:a846b1045a17bb536efc608d847ac642e7f0f8fa2841e048e388ac3f322ea647","observation_id":"e6c2e02e-32a2-4757-a406-a86c19b335ec","resolution":{"observed_at":"2026-05-17T20:20:12.111911Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-03T19:49:23.437485Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.22445","last_updated":"2026-05-31T13:04:20Z","snapshot_observed_at":"2026-08-13T18:49:38.080950Z","submitted_at":"2025-11-27T13:31:38Z","title":"DIPOLE: Fusing Vision and Geometry for Robust Visuomotor Generalization","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T19:49:23.437485Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2511.22445"},"observation_digest":"sha256:da37b866b30c75f05b6361092051613112f37ad37dc51bffdade8e1f24f3d448","observation_id":"92b977f0-6ffc-4947-b489-521ba42217a6","resolution":{"observed_at":"2026-08-03T19:49:23.437485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2512.01773","last_updated":"2026-04-15T17:13:09Z","snapshot_observed_at":"2026-08-03T04:29:49.820139Z","submitted_at":"2025-12-01T15:15:04Z","title":"IGen: Scalable Data Generation for Robot Learning from Open-World Images","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-17T02:58:36.214948Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2512.01773"},"observation_digest":"sha256:e0bd07acc5a5187dc535f580fc1d9a9d1a0a60e9008605dec094c92bb828713c","observation_id":"0a72d899-f5fb-44b4-b9b3-2635e60f5477","resolution":{"observed_at":"2026-05-17T02:58:55.000553Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-03T14:00:20.791509Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.21970","last_updated":"2026-06-26T10:58:23Z","snapshot_observed_at":"2026-08-12T16:53:11.338794Z","submitted_at":"2025-12-26T10:34:20Z","title":"StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T14:00:20.791509Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2512.21970"},"observation_digest":"sha256:6cefad5ee969a6ac80046e9715fbde1e8549deeb487f0e6893095b6b0e7bfd4d","observation_id":"44ed9fe0-4171-4711-b7d2-4fd74768c3e7","resolution":{"observed_at":"2026-08-03T14:00:20.791509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-02T23:57:44.592345Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.12215","last_updated":"2026-06-03T04:04:20Z","snapshot_observed_at":"2026-08-02T23:57:43.860710Z","submitted_at":"2026-02-12T17:53:51Z","title":"LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T23:57:44.592345Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2602.12215"},"observation_digest":"sha256:321c10697413e7f5b51e127df1d3ae6841c0fc2c199e51a8e404d921de7625b2","observation_id":"eac25dd5-1470-43cc-9906-838122c0e96d","resolution":{"observed_at":"2026-08-02T23:57:44.592345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2603.02115","last_updated":"2026-05-13T21:07:49Z","snapshot_observed_at":"2026-08-12T16:18:51.295325Z","submitted_at":"2026-03-02T17:38:58Z","title":"Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-15T17:59:52.365630Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2603.02115"},"observation_digest":"sha256:c7232fb829c4d98ebb3f76df612d261b08f7c20ada72186de5699c73dc23a62c","observation_id":"6596a164-8dad-4854-9416-f390a3de383b","resolution":{"observed_at":"2026-05-15T18:00:12.615051Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2604.04974","last_updated":"2026-06-03T17:05:28Z","snapshot_observed_at":"2026-08-05T03:49:14.637609Z","submitted_at":"2026-04-04T15:37:11Z","title":"From Video to Control: A Survey of Learning Manipulation Interfaces from Temporal Visual Data","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-13T17:02:18.358675Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2604.04974"},"observation_digest":"sha256:b81324c04633808e22e005c8bb09748dde82f2ea98f8eb6c9e7645fc3a42b800","observation_id":"1b1a2b59-db16-417f-9d3c-12986d66bcb3","resolution":{"observed_at":"2026-05-13T17:03:01.146744Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2604.07607","last_updated":"2026-07-07T17:04:24Z","snapshot_observed_at":"2026-08-10T10:03:25.795206Z","submitted_at":"2026-04-08T21:27:06Z","title":"EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T17:07:41.489995Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2604.07607"},"observation_digest":"sha256:f639686e6895917270aaeb6a872aea6f6629a8c7b108cf2fd07ad46d7f0e476b","observation_id":"16288f00-50ce-4be6-940a-f3099753c3c9","resolution":{"observed_at":"2026-05-11T07:35:56.912257Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-07-13T08:25:22.011013Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot.arXiv preprint arXiv:2307.00595, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2604.07607","last_updated":"2026-07-07T17:04:24Z","snapshot_observed_at":"2026-08-10T10:03:25.795206Z","submitted_at":"2026-04-08T21:27:06Z","title":"EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-13T08:25:22.011013Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2604.07607"},"observation_digest":"sha256:5d09ecffac1214a729964e5e7f7e0f2f95ccbded44d3610b3a4362e6a822fa4d","observation_id":"cc4534a1-e559-4312-bab8-7fcdd7b846e8","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":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2604.21914","last_updated":"2026-04-23T17:57:13Z","snapshot_observed_at":"2026-08-13T08:34:04.703373Z","submitted_at":"2026-04-23T17:57:13Z","title":"VistaBot: View-Robust Robot Manipulation via Spatiotemporal-Aware View Synthesis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-09T21:18:12.192842Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2604.21914"},"observation_digest":"sha256:edf3fff0c8440f534285d27f5870188145edc88e957a42d5668a58a33add3770","observation_id":"4541fb96-7a14-454c-bdb6-cb2f30999643","resolution":{"observed_at":"2026-05-11T14:41:15.608176Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2604.28197","last_updated":"2026-04-30T17:59:58Z","snapshot_observed_at":"2026-08-13T07:28:55.018873Z","submitted_at":"2026-04-30T17:59:58Z","title":"OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-07T05:25:34.174220Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2604.28197"},"observation_digest":"sha256:905fbe9d2c423b8805cef273e8ed013cfa47743f44e4fa783197a018c765048c","observation_id":"71769552-06ab-4316-bf70-601e05d284b7","resolution":{"observed_at":"2026-05-09T05:10:16.319383Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.00078","last_updated":"2026-04-30T14:16:15Z","snapshot_observed_at":"2026-07-06T23:13:33.799847Z","submitted_at":"2026-04-30T14:16:15Z","title":"Being-H0.7: A Latent World-Action Model from Egocentric Videos","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-09T20:48:01.461993Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.00078"},"observation_digest":"sha256:bc0900da8e34bb7d27f9aa3f97bafdc88b582e1c1fdb47b4eabbca9f774e98c7","observation_id":"94fd1d73-4cf5-473f-bf3b-b5decd92d564","resolution":{"observed_at":"2026-05-11T14:56:08.868204Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.01799","last_updated":"2026-06-06T07:05:08Z","snapshot_observed_at":"2026-08-11T11:56:52.514626Z","submitted_at":"2026-05-03T09:39:44Z","title":"Embody4D: A Generalist Data Engine for Embodied 4D World Modeling","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T19:16:50.004359Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.01799"},"observation_digest":"sha256:6b8ee1f22bb1904a6a529f1116db5bb58827ee6e4c17f3c0723551f9fc761170","observation_id":"4e2789ff-c75f-4530-9b1d-7b86c8039084","resolution":{"observed_at":"2026-05-09T05:55:32.096845Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.01799","last_updated":"2026-06-06T07:05:08Z","snapshot_observed_at":"2026-08-11T11:56:52.514626Z","submitted_at":"2026-05-03T09:39:44Z","title":"Embody4D: A Generalist Data Engine for Embodied 4D World Modeling","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-01T00:17:39.409452Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.01799"},"observation_digest":"sha256:c14a2172676a261249a1bc1f34dd0aa2eaf47ce79d3bad5d80c8128aeaed1940","observation_id":"c7b847c4-8183-4cf0-8fd6-4d2f0127dc02","resolution":{"observed_at":"2026-07-01T00:25:09.827811Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.02881","last_updated":"2026-05-08T04:21:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-04T17:51:21Z","title":"MolmoAct2: Action Reasoning Models for Real-world Deployment","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-08T17:53:44.901684Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.02881"},"observation_digest":"sha256:acd1d9cc0cc45d559a83c434e58bc58169da3a4e9af9a0fdaad45a24eb8e847e","observation_id":"e35e421a-77aa-461d-9223-4d0a44a288df","resolution":{"observed_at":"2026-05-11T17:06:05.240678Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.02881","last_updated":"2026-05-08T04:21:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-04T17:51:21Z","title":"MolmoAct2: Action Reasoning Models for Real-world Deployment","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T00:59:54.787472Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.02881"},"observation_digest":"sha256:ea19b7fff0de3c94f654d950051c17f5b78d39f0595331c8600addd7db8f9277","observation_id":"c0097d0f-158d-4a9b-ba98-9559a4982cde","resolution":{"observed_at":"2026-05-11T04:55:56.986582Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.06747","last_updated":"2026-05-07T15:21:58Z","snapshot_observed_at":"2026-08-09T19:59:54.117138Z","submitted_at":"2026-05-07T15:21:58Z","title":"HumanNet: Scaling Human-centric Video Learning to One Million Hours","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-11T00:51:08.414394Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.06747"},"observation_digest":"sha256:a0a46fc9dbeb95e9b70f39392fd6b88d4acc6f4be47e2947c24b8656984e7077","observation_id":"ead65277-7637-427e-9b1a-ec0c5659f8f6","resolution":{"observed_at":"2026-05-11T05:10:54.161802Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.08774","last_updated":"2026-05-09T08:00:59Z","snapshot_observed_at":"2026-08-13T07:28:16.782679Z","submitted_at":"2026-05-09T08:00:59Z","title":"ProcVLM: Learning Procedure-Grounded Progress Rewards for Robotic Manipulation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-12T01:40:22.192349Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.08774"},"observation_digest":"sha256:d18975fa308400b3697e3bc4449d38794f02acce09ef60e7c660662f9c945f46","observation_id":"83114955-e60b-475f-8346-c41a55028f83","resolution":{"observed_at":"2026-05-12T01:41:20.066053Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.09441","last_updated":"2026-05-10T09:34:05Z","snapshot_observed_at":"2026-08-11T07:41:04.520067Z","submitted_at":"2026-05-10T09:34:05Z","title":"Beyond Isolation: A Unified Benchmark for General-Purpose Navigation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-12T04:33:53.557357Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.09441"},"observation_digest":"sha256:990885d46f1132e1fb1a37bdb9627f9ef731e1be9c4304d93c18d5211f46e17d","observation_id":"9a1e451b-52ff-4107-ad9f-7556bed8b806","resolution":{"observed_at":"2026-05-12T06:06:27.593719Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.12090","last_updated":"2026-05-12T13:10:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-12T13:10:52Z","title":"World Action Models: The Next Frontier in Embodied AI","version":1},"reference_index":131,"source":"pdf_text","source_observed_at":"2026-05-13T05:01:16.802019Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.12090"},"observation_digest":"sha256:aafb1fdef1e228e71d844b916c0f06cad7685c3d2da62aa540395fe01bfd9b7b","observation_id":"2dbfd71a-9cbf-4196-a3fb-100671edfa74","resolution":{"observed_at":"2026-05-13T05:02:17.774232Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.19328","last_updated":"2026-05-19T04:07:24Z","snapshot_observed_at":"2026-08-03T19:21:56.538777Z","submitted_at":"2026-05-19T04:07:24Z","title":"RoboJailBench: Benchmarking Adversarial Attacks and Defenses in Embodied Robotic Agents","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-20T05:05:42.451746Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.19328"},"observation_digest":"sha256:39186d6ac43078550f26b0cb78adc2f182f6b2050ced1d7f05b72bcd3053db56","observation_id":"37d52d19-6516-471c-ab2d-cf9ee83037dc","resolution":{"observed_at":"2026-05-20T05:08:05.171783Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.20433","last_updated":"2026-05-19T19:29:21Z","snapshot_observed_at":"2026-08-14T09:59:30.982066Z","submitted_at":"2026-05-19T19:29:21Z","title":"Spacetime Optimal-Transport Attention for Visuo-Haptic Imitation Learning of Contact-Rich Manipulation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-21T06:59:24.699969Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.20433"},"observation_digest":"sha256:5ebad880e3f8645bcb363e7161e668226c0fb6a7854fcc92d7219e8ca394d308","observation_id":"31366efe-ccd9-4cdb-8a4f-692816cb276b","resolution":{"observed_at":"2026-05-21T06:59:45.448514Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.27284","last_updated":"2026-05-26T17:01:10Z","snapshot_observed_at":"2026-08-14T04:24:43.465175Z","submitted_at":"2026-05-26T17:01:10Z","title":"FineVLA: Fine-Grained Instruction Alignment for Steerable Vision-Language-Action Policies","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-29T17:19:04.477325Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.27284"},"observation_digest":"sha256:ddd812765f52be18190c8fbd50f4412cfa68c4f956f93ad42f4d0a6cadf96814","observation_id":"5b6b1bf4-fe99-4fe9-8c7b-01841233f225","resolution":{"observed_at":"2026-06-29T17:23:44.916841Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2605.31234","last_updated":"2026-05-29T12:36:30Z","snapshot_observed_at":"2026-08-08T12:01:24.894800Z","submitted_at":"2026-05-29T12:36:30Z","title":"HARP-VLA: Human-Robot Aligned Representation Learning for Vision-Language-Action Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T22:04:09.296855Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2605.31234"},"observation_digest":"sha256:726233a5b8e7eb4a431c683609882d758807d4c2c85a2a0e2562cdf5eeba4ac5","observation_id":"dc173fc5-0de5-45e0-b9d2-7a24665d9ae0","resolution":{"observed_at":"2026-07-01T19:46:10.866879Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.00054","last_updated":"2026-05-18T06:19:16Z","snapshot_observed_at":"2026-08-01T07:41:38.093783Z","submitted_at":"2026-05-18T06:19:16Z","title":"From Human Videos to Robot Manipulation: A Survey on Scalable Vision-Language-Action Learning with Human-Centric Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T18:53:07.734871Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.00054"},"observation_digest":"sha256:41b518b56fbf31bf5d3fcb42c13347cbef39a9297d9c98433f5e4f76513d4599","observation_id":"8ea4912a-e097-43de-a47d-94ac4085f9f4","resolution":{"observed_at":"2026-06-30T18:55:00.172475Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.02551","last_updated":"2026-06-01T17:50:16Z","snapshot_observed_at":"2026-08-06T05:27:27.264406Z","submitted_at":"2026-06-01T17:50:16Z","title":"AFUN: Towards an Affordance Foundation Model for Functionality Understanding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T14:13:13.043886Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.02551"},"observation_digest":"sha256:cdc1b8951c4466b393788321da932d8ff29f3f6c877200b70d96818b4fec2f83","observation_id":"6c6f44e9-1c22-4b52-a550-3168892f722c","resolution":{"observed_at":"2026-07-01T23:36:22.837870Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.06194","last_updated":"2026-06-04T14:01:01Z","snapshot_observed_at":"2026-08-04T07:55:49.422544Z","submitted_at":"2026-06-04T14:01:01Z","title":"ActiveMimic: Egocentric Video Pretraining with Active Perception","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-28T01:19:47.785250Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.06194"},"observation_digest":"sha256:3e2d6b42434233267881ced3430dfd37b7064f99609c62585bff234202e62001","observation_id":"fe1c6eb0-936a-4511-ae14-97c19cdb50d6","resolution":{"observed_at":"2026-07-02T13:26:58.966103Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.06556","last_updated":"2026-06-04T10:43:14Z","snapshot_observed_at":"2026-08-09T06:57:25.072034Z","submitted_at":"2026-06-04T10:43:14Z","title":"Robots Need More than VLA and World Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-28T01:01:33.530167Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.06556"},"observation_digest":"sha256:ce1d32e4e753bd6e9a8ca008fae5615678bfd4bf66760e6c27c352c6ad3ceac0","observation_id":"a0b00ccc-45b7-4b94-a35d-dbfbbef90b63","resolution":{"observed_at":"2026-07-02T13:46:59.327227Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.07100","last_updated":"2026-06-30T09:11:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-05T09:51:25Z","title":"LARA: Latent Action Representation Alignment for Vision-Language-Action Models","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-06-27T22:25:17.522240Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.07100"},"observation_digest":"sha256:2ebbb6e404faab2885a9ca04d880a5214c2e16ef2120b59cf51b40c86e24368a","observation_id":"fd4a1762-b14e-4ac4-bb58-c3f43ab95c3b","resolution":{"observed_at":"2026-07-02T16:47:09.466402Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.07100","last_updated":"2026-06-30T09:11:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-05T09:51:25Z","title":"LARA: Latent Action Representation Alignment for Vision-Language-Action Models","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-07-01T07:17:42.045939Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.07100"},"observation_digest":"sha256:b0caf3b64f1bf0a779d717eeead36e7054ca0de34d193dccaea1b75ebdaac7db","observation_id":"413516fd-d217-4441-8880-12d6e56565d8","resolution":{"observed_at":"2026-07-01T08:35:34.468069Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.13102","last_updated":"2026-06-19T08:31:37Z","snapshot_observed_at":"2026-08-12T16:18:31.836886Z","submitted_at":"2026-06-11T09:30:09Z","title":"FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-06-27T07:02:17.427032Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.13102"},"observation_digest":"sha256:bd69a08332d5375c390f459b737909f7631cb622da3ea9e2d3b8d147a26240d5","observation_id":"27f1947e-7ee5-45f4-bb6e-41b1619a2a88","resolution":{"observed_at":"2026-07-03T14:28:31.733643Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.19914","last_updated":"2026-06-18T08:08:16Z","snapshot_observed_at":"2026-08-02T09:36:41.062823Z","submitted_at":"2026-06-18T08:08:16Z","title":"Co-policy: Responsive Human-Robot Co-Creation for Musical Performances","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-26T17:09:35.375171Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.19914"},"observation_digest":"sha256:313a664bd2e19cd01536efc08c7cfa04ec065a0c657dd1022a12ef38012417d3","observation_id":"c9c6e63f-4cd9-4790-ab8a-262aeac942e9","resolution":{"observed_at":"2026-07-04T04:19:33.855973Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":"2307.00595","doi":"10.48550/arxiv.2307.00595","metadata_source":"arxiv_reference","pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":"arXiv (Cornell University)","work_id":"d0404087-2d28-482f-8b50-8400d35d315e","year":2023},"citing_paper":{"arxiv_id":"2606.26801","last_updated":"2026-06-25T09:38:11Z","snapshot_observed_at":"2026-08-02T16:01:47.627768Z","submitted_at":"2026-06-25T09:38:11Z","title":"Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T04:57:13.894126Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2606.26801"},"observation_digest":"sha256:a8de9e0aced3f8fd2aab1ead2b69d89c88000347c33dfcd9bba8d523ae8517a1","observation_id":"91e5bfc1-7ccd-446f-afe7-b67750f28f1c","resolution":{"observed_at":"2026-07-04T13:49:51.136086Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-02T05:01:23.907631Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot.arXiv preprint arXiv:2307.00595,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.13522","last_updated":"2026-07-15T07:21:00Z","snapshot_observed_at":"2026-08-09T08:21:58.226231Z","submitted_at":"2026-07-15T07:21:00Z","title":"Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T05:01:23.907631Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2607.13522"},"observation_digest":"sha256:4903b18bb64bd99a50bbcd80e51d96cbd7725ec0258cbc6264e312a731020317","observation_id":"a0fbf12f-1cc2-4d43-b257-98c6fd1febd1","resolution":{"observed_at":"2026-08-02T05:01:23.907631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-01T14:39:52.281267Z","title":"arXiv preprint arXiv:2307.00595 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18709","last_updated":"2026-07-22T05:33:17Z","snapshot_observed_at":"2026-08-08T18:57:26.098275Z","submitted_at":"2026-07-21T05:05:01Z","title":"RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation","version":2},"reference_index":190,"source":"arxiv_source","source_observed_at":"2026-08-01T14:39:52.281267Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2607.18709"},"observation_digest":"sha256:09549f7e6f9f3892ca6428e2c2fa7a4d4a0a218a851dd9a1e5ced2dd72b62616","observation_id":"13c47e8b-e7fd-4795-8b4c-16299de0d231","resolution":{"observed_at":"2026-08-01T14:39:52.281267Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-07-31T06:18:55.461551Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24744","last_updated":"2026-08-08T15:15:40Z","snapshot_observed_at":"2026-08-13T23:17:19.547551Z","submitted_at":"2026-07-27T17:59:58Z","title":"Data Pyramid for Embodied Manipulation: A Survey","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-07-31T06:18:55.461551Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2607.24744"},"observation_digest":"sha256:12d22a6b993fd7d7a6a7aeda2998008dc69e00c400ba59da5fd99e42c82105b6","observation_id":"61dfb7af-e64a-4908-bb6b-9eec5716b201","resolution":{"observed_at":"2026-07-31T06:18:55.461551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-01T01:15:07.883647Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot.arXiv preprint arXiv:2307.00595, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.25895","last_updated":"2026-07-28T15:52:02Z","snapshot_observed_at":"2026-08-12T22:43:18.757224Z","submitted_at":"2026-07-28T15:52:02Z","title":"HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T01:15:07.883647Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2607.25895"},"observation_digest":"sha256:c296014d6a96d0f8accdefc6c818d90c41b45635fcbcc980a305be63fabf094c","observation_id":"a424e8c8-f4dd-450d-b2af-3278cbff3aa0","resolution":{"observed_at":"2026-08-01T01:15:07.883647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-07-30T13:44:14.869728Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27017","last_updated":"2026-07-31T14:52:09Z","snapshot_observed_at":"2026-08-09T21:29:11.737688Z","submitted_at":"2026-07-29T15:15:30Z","title":"What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-30T13:44:14.869728Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2607.27017"},"observation_digest":"sha256:34827f7da96468c6d92e9ba241d09f7329ec4eac917f9e324eb0806cc5152f9d","observation_id":"be98effa-d123-40a9-8c3f-4bc8efdfd339","resolution":{"observed_at":"2026-07-30T13:44:14.869728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-01T10:17:35.641219Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27017","last_updated":"2026-07-31T14:52:09Z","snapshot_observed_at":"2026-08-09T21:29:11.737688Z","submitted_at":"2026-07-29T15:15:30Z","title":"What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T10:17:35.641219Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2607.27017"},"observation_digest":"sha256:7290246cf365f13428a44b5be82d6c96aea4464ca78746c19360de375eb4e679","observation_id":"1f878688-349c-4882-b7a2-c9b752436729","resolution":{"observed_at":"2026-08-01T10:17:35.641219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-03T01:44:57.480480Z","title":"RH20T: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27017","last_updated":"2026-07-31T14:52:09Z","snapshot_observed_at":"2026-08-09T21:29:11.737688Z","submitted_at":"2026-07-29T15:15:30Z","title":"What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T01:44:57.480480Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2607.27017"},"observation_digest":"sha256:3ef89d0d40eac5b0dcf16cbc647616ee76f318e7f8ad313eb59ef5c846b67b5d","observation_id":"e41d22ab-80ba-482f-b9f5-2fe3434a5ddf","resolution":{"observed_at":"2026-08-03T01:44:57.480480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-06T00:14:28.765019Z","title":"Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.01452","last_updated":"2026-08-02T19:23:54Z","snapshot_observed_at":"2026-08-12T09:51:57.566381Z","submitted_at":"2026-08-02T19:23:54Z","title":"DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T00:14:28.765019Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2608.01452"},"observation_digest":"sha256:59c8862be056f2114b2b938880a8c8292e81f2aeb9fdb9f83c41c669a53f4839","observation_id":"ca4e2330-24ab-4c08-8d3b-1f3bb205752d","resolution":{"observed_at":"2026-08-06T00:14:28.765019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00595","snapshot_observed_at":"2026-08-04T19:45:29.419458Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.01851","last_updated":"2026-08-03T07:58:35Z","snapshot_observed_at":"2026-08-07T23:22:57.641630Z","submitted_at":"2026-08-03T07:58:35Z","title":"Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T19:45:29.419458Z"},"links":{"cited_paper":"/paper/2307.00595","citing_paper":"/paper/2608.01851"},"observation_digest":"sha256:edf99bc5b6da1a3099c310c1151e195c57d4390462d4617d5de6d0bb2f80a021","observation_id":"7e963e41-3b3d-4423-a3c3-81ba150d5b42","resolution":{"observed_at":"2026-08-04T19:45:29.419458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.00595/citation-record","integrity":"/paper/2307.00595/integrity","json":"/paper/2307.00595/citation-record.json","paper":"/paper/2307.00595"},"outbound":[],"paper":{"arxiv_id":"2307.00595","last_updated":"2023-09-26T10:47:35Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-13T11:04:17.407514Z","submitted_at":"2023-07-02T15:33:31Z","title":"RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 54 inbound Pith citation observations for arXiv:2307.00595."}