{"as_of":"2026-08-04T12:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8446a90b85ba2a7bce049b309543232f8a5ea2caf33667918d2b63b5b137538a","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":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":24,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T23:48:58.328749Z","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":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2310.08864","last_updated":"2025-05-14T15:22:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-13T05:20:40Z","title":"Open X-Embodiment: Robotic Learning Datasets and RT-X Models","version":9},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-11T17:23:24.255829Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2310.08864"},"observation_digest":"sha256:7744551ab3289a37e4f031c4e4e15eebf624a4c4c2a0a3b9f03cd031b312ca74","observation_id":"840759de-2a17-442a-beb3-3abaa9eb7c1b","resolution":{"observed_at":"2026-05-11T17:23:24.391566Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2310.17245","last_updated":"2026-04-13T15:52:28Z","snapshot_observed_at":"2026-07-06T16:38:48.736281Z","submitted_at":"2023-10-26T08:45:23Z","title":"CROP: Conservative Reward for Model-based Offline Policy Optimization","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-24T06:37:57.104233Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2310.17245"},"observation_digest":"sha256:b65adc83a278dbcd105d3ca3601caf22802cae40018464306268f70a6ad3c214","observation_id":"4de130fc-355b-45c0-9e22-a33edfbbccb8","resolution":{"observed_at":"2026-05-24T06:39:01.267629Z","resolver_source":"local_arxiv","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2310.17596","last_updated":"2023-10-26T17:17:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-26T17:17:31Z","title":"MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-17T09:47:54.977716Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2310.17596"},"observation_digest":"sha256:4e2073dab988c4fec56bfee5ae3d2592220ace3d8239791ba43e4c90ad253d77","observation_id":"f13e0c82-ae6c-44f8-8061-c76ef624d109","resolution":{"observed_at":"2026-05-17T09:47:55.088607Z","resolver_source":"local_arxiv","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2403.12945","last_updated":"2025-04-22T17:57:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-19T17:48:38Z","title":"DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-11T05:51:18.508352Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2403.12945"},"observation_digest":"sha256:4521ea602ec42998307914c14b6392853ad82a250535f7b85b178c6840194830","observation_id":"82047816-2996-47ac-8b03-cfbf02993db5","resolution":{"observed_at":"2026-05-11T05:51:18.929401Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2405.12213","last_updated":"2024-05-26T19:55:26Z","snapshot_observed_at":"2026-07-06T18:16:51.116432Z","submitted_at":"2024-05-20T17:57:01Z","title":"Octo: An Open-Source Generalist Robot Policy","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-11T00:26:15.163358Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2405.12213"},"observation_digest":"sha256:69c2ea737648d87b3a27afb64861b9a5ef9c218b90c649d7ff7281f1f40703ad","observation_id":"4f95175f-f48e-492f-8da6-e2311f598eea","resolution":{"observed_at":"2026-05-11T00:26:15.513470Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2406.02523","last_updated":"2024-06-04T17:41:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-04T17:41:31Z","title":"RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T23:46:30.198761Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2406.02523"},"observation_digest":"sha256:eed4b01258e0e6472272ddea97624001fdca7b54d6cceff60aeba576be53cdaa","observation_id":"b98b57a8-6ea6-44e0-9ab1-3df0bf808f0d","resolution":{"observed_at":"2026-05-12T23:46:30.265942Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2406.09246","last_updated":"2024-09-05T19:46:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-13T15:46:55Z","title":"OpenVLA: An Open-Source Vision-Language-Action Model","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T14:46:35.942338Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2406.09246"},"observation_digest":"sha256:bbc9f01d96b9dd4b6f5d3a7a10a8258ff87fbf1b5723b2439b44cef0bc0601b5","observation_id":"55ba4592-6f4b-411b-bd2c-22ac4e4d1f65","resolution":{"observed_at":"2026-05-10T14:46:36.382354Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2411.19650","last_updated":"2024-11-29T12:06:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-11-29T12:06:03Z","title":"CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-12T07:33:25.188358Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2411.19650"},"observation_digest":"sha256:af42b40f25955c2d3d7e226d9341212094569f1375a48b5ba869782c240a492b","observation_id":"7efdcb50-c867-4e03-94a2-6a2acbba6ce9","resolution":{"observed_at":"2026-05-12T07:33:25.574455Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2502.19275","last_updated":"2026-03-14T20:31:17Z","snapshot_observed_at":"2026-07-06T20:43:08.913991Z","submitted_at":"2025-02-26T16:30:30Z","title":"Deep Computerized Adaptive Testing","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-23T02:11:42.178712Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2502.19275"},"observation_digest":"sha256:a388d846db43c3fabd009bf3ddc81eaa9fd422a0c2f8103379da631d9a6fc5e8","observation_id":"d783e6fb-cf91-49ec-8ef1-fc865b6e8db4","resolution":{"observed_at":"2026-05-23T02:12:24.027626Z","resolver_source":"local_arxiv","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2503.10631","last_updated":"2025-06-23T07:37:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-13T17:59:52Z","title":"HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-15T22:00:48.667428Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2503.10631"},"observation_digest":"sha256:81b9371f778a8e1774e792fc69c9e4180fa865ef7c9baa78cfc090a69649fc4a","observation_id":"b8235e85-3797-4d73-8757-7677093a5f32","resolution":{"observed_at":"2026-05-15T22:00:48.865695Z","resolver_source":"local_arxiv","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2505.03233","last_updated":"2025-08-27T03:43:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-06T06:59:28Z","title":"GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-17T20:55:52.109166Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2505.03233"},"observation_digest":"sha256:6615fc5a7ba2d67c32f1563e064864afab0dd91ebd8f023e447cd150791ba81a","observation_id":"462a9486-5aaa-48b7-a90e-4a6af5fd45e5","resolution":{"observed_at":"2026-05-17T20:55:52.240827Z","resolver_source":"local_arxiv","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2505.18719","last_updated":"2025-05-24T14:42:51Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-24T14:42:51Z","title":"VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-16T12:55:40.245908Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2505.18719"},"observation_digest":"sha256:5056c9c85727dfceb07f6f9bfc7b8f2aa9d3647b44f08e93b35944b076420b07","observation_id":"897fa41e-adc0-437e-9c31-68dfd8d45e93","resolution":{"observed_at":"2026-05-16T12:55:40.423602Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2511.14759","last_updated":"2025-11-19T04:34:49Z","snapshot_observed_at":"2026-07-06T22:36:13.287872Z","submitted_at":"2025-11-18T18:58:55Z","title":"$\\pi^{*}_{0.6}$: a VLA That Learns From Experience","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-12T10:34:59.134604Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2511.14759"},"observation_digest":"sha256:a4740c5c9c45eab0e62877fe8110a16c1d13973105e7ffe8e66861f3c31274d0","observation_id":"0a795517-5ea7-4ca0-922b-cf519cd4f3a5","resolution":{"observed_at":"2026-05-12T10:34:59.265492Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-08-02T23:48:58.328749Z","title":"Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.12628","last_updated":"2026-06-04T11:43:40Z","snapshot_observed_at":"2026-08-02T23:48:53.948791Z","submitted_at":"2026-02-13T05:15:50Z","title":"Beyond Imitation: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T23:48:58.328749Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2602.12628"},"observation_digest":"sha256:e06feb53df49af7a8fba2d345f4bc8dc2f07c83e8e4eff1d9e9636f0afb0ca49","observation_id":"0bf2d53a-8726-4b2a-a61d-2a2d6bd29683","resolution":{"observed_at":"2026-08-02T23:48:58.328749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-08-02T23:47:55.298132Z","title":"QT-Opt: Scalable deep reinforcement learning for vision-based robotic manipulation.arXiv preprint arXiv:1806.10293, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.12691","last_updated":"2026-06-20T06:22:27Z","snapshot_observed_at":"2026-08-03T14:49:54.047706Z","submitted_at":"2026-02-13T07:46:37Z","title":"ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T23:47:55.298132Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2602.12691"},"observation_digest":"sha256:862f1ded4f44311be4f67943f3b8bef769554824ac20f2b48a8a8ab58e3ac7e8","observation_id":"08e23531-bf65-4e6d-9080-7a517cb3414b","resolution":{"observed_at":"2026-08-02T23:47:55.298132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2604.18000","last_updated":"2026-04-20T09:25:30Z","snapshot_observed_at":"2026-08-03T00:50:48.601549Z","submitted_at":"2026-04-20T09:25:30Z","title":"Unmasking the Illusion of Embodied Reasoning in Vision-Language-Action Models","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-10T04:27:18.284698Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2604.18000"},"observation_digest":"sha256:dd5c4f8de9f1a4eb8d33a374978628549163adcd987bc20eb400c3a12be8671e","observation_id":"6b700035-24c1-42c0-8a75-0d1ccd1ef06a","resolution":{"observed_at":"2026-05-11T11:56:29.320668Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2604.28192","last_updated":"2026-05-07T14:00:44Z","snapshot_observed_at":"2026-08-02T05:19:22.679378Z","submitted_at":"2026-04-30T17:59:52Z","title":"LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-07T05:47:17.494531Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2604.28192"},"observation_digest":"sha256:0423e3f58efacc23d64ba9233be033d38498cec653eca26b11c6dc78a1a480e6","observation_id":"7d4d2e6f-2e01-4ba4-957f-353f646f32d7","resolution":{"observed_at":"2026-05-12T10:31:30.076897Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2604.28192","last_updated":"2026-05-07T14:00:44Z","snapshot_observed_at":"2026-08-02T05:19:22.679378Z","submitted_at":"2026-04-30T17:59:52Z","title":"LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-08T03:00:26.352130Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2604.28192"},"observation_digest":"sha256:afaf982f6e0fb49ba4218f6b3806f062053613d8b70fd8eb291bdd1b3dcd8132","observation_id":"a2e8c942-994e-4981-ba89-82ad0bf793e5","resolution":{"observed_at":"2026-05-11T22:17:03.486360Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"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":118,"source":"pdf_text","source_observed_at":"2026-05-13T05:01:16.802019Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2605.12090"},"observation_digest":"sha256:fb71afd5264c6436884f3872c341685d7d9de99feee6bc58093a257e74f83507","observation_id":"1ceee35e-da16-454e-9b98-ac75447cb6a1","resolution":{"observed_at":"2026-05-13T05:07:18.197943Z","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2606.07107","last_updated":"2026-06-05T10:01:37Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-05T10:01:37Z","title":"Coarse-to-Control: Action-Token Planning for Vision-Language-Action Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T21:57:19.195413Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2606.07107"},"observation_digest":"sha256:59d7e54c014c7ca9156d5f41e7f791e960f8a377c232b454a7574a9135b80a44","observation_id":"bb9e507e-cf42-4f5c-b0f5-634804e9c5ab","resolution":{"observed_at":"2026-06-27T22:01:20.745662Z","resolver_source":"local_arxiv","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2606.23685","last_updated":"2026-06-22T17:59:52Z","snapshot_observed_at":"2026-08-02T17:54:27.887583Z","submitted_at":"2026-06-22T17:59:52Z","title":"LaST-HD: Learning Latent Physical Reasoning from Scalable Human Data for Robot Manipulation","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-06-26T07:58:17.225491Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2606.23685"},"observation_digest":"sha256:c1d70156ab8713628ef1320c9cd65b71a30e549d8d7b974c2309a88a698a4730","observation_id":"ba3c2609-49e7-4c3c-a6e0-b31cef026d2b","resolution":{"observed_at":"2026-07-04T11:29:50.820061Z","resolver_source":"local_arxiv","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":"1806.10293","doi":"10.48550/arxiv.1806.10293","metadata_source":"pith","pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","venue":"cs.LG","work_id":"9a64fd9b-aa3d-48af-ac99-b368b857a6e0","year":2018},"citing_paper":{"arxiv_id":"2606.24884","last_updated":"2026-06-23T17:59:01Z","snapshot_observed_at":"2026-08-02T14:15:11.008887Z","submitted_at":"2026-06-23T17:59:01Z","title":"InSight: Self-Guided Skill Acquisition via Steerable VLAs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T00:10:51.721485Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2606.24884"},"observation_digest":"sha256:b86fb6e3392965426d0a3c3fada96fda33db579e8e7cadef13fc26947eb887d3","observation_id":"a84e08f0-7034-40b6-a6fb-ba8efa6d0740","resolution":{"observed_at":"2026-07-04T16:49:58.292475Z","resolver_source":"local_arxiv","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":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-08-01T17:46:31.844616Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipula- tion,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.17541","last_updated":"2026-07-20T04:35:01Z","snapshot_observed_at":"2026-08-02T03:10:08.107435Z","submitted_at":"2026-07-20T04:35:01Z","title":"Predicting Grasping Compliance in Robotic Hands through Analytical-Model-Informed Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T17:46:31.844616Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2607.17541"},"observation_digest":"sha256:a5d36458a2945ea427b0cf674a76e96689b68786eedc0104d7e3332b7a13db96","observation_id":"362013dd-6d24-45fc-84a3-32dbffafc886","resolution":{"observed_at":"2026-08-01T17:46:31.844616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.10293","last_updated":"2018-11-28T02:40:54Z","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.10293","snapshot_observed_at":"2026-07-31T06:18:55.667721Z","title":"QT-Opt: Scalable deep reinforcement learning for vision-based robotic manipulation","venue":null,"work_id":null,"year":2018},"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":186,"source":"pdf_text","source_observed_at":"2026-07-31T06:18:55.667721Z"},"links":{"cited_paper":"/paper/1806.10293","citing_paper":"/paper/2607.24744"},"observation_digest":"sha256:d06099f52d1c94ab2584f18397b4d111385a16aa861ed8d74c8b3b3c47c1166d","observation_id":"a2c7b3eb-8ab6-4d06-b6fd-a41bd7f2c470","resolution":{"observed_at":"2026-07-31T06:18:55.667721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1806.10293/citation-record","integrity":"/paper/1806.10293/integrity","json":"/paper/1806.10293/citation-record.json","paper":"/paper/1806.10293"},"outbound":[],"paper":{"arxiv_id":"1806.10293","last_updated":"2018-11-28T02:40:54Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T20:30:39.614115Z","submitted_at":"2018-06-27T04:34:30Z","title":"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation"},"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 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:1806.10293."}