{"as_of":"2026-08-09T22:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:31446d5acd5d5c3f18738e369560438bc9ef32899fdd696058bd600c99818ae9","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T21:12:14.884297Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T15:44:13.140820Z","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":"2026-07-03T08:17:45.690696Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"cited_work":{"arxiv_id":"2602.21013","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.21013","snapshot_observed_at":"2026-07-03T08:17:45.690696Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","venue":"cs.RO","work_id":"27855d95-80b5-42ea-a84b-42b98440d4c3","year":2026},"citing_paper":{"arxiv_id":"2606.12497","last_updated":"2026-06-10T13:26:40Z","snapshot_observed_at":"2026-08-05T05:15:21.338433Z","submitted_at":"2026-06-10T13:26:40Z","title":"$\\mu$VLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T10:50:55.866910Z"},"links":{"cited_paper":"/paper/2602.21013","citing_paper":"/paper/2606.12497"},"observation_digest":"sha256:f7632d790047920e03c8b29c787f79cd791baa09c5f2d7b051b35c207f2dd5dd","observation_id":"8c230c5f-2bda-453a-a05b-ace7aeb4d678","resolution":{"observed_at":"2026-07-03T08:17:45.691901Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.21013","snapshot_observed_at":"2026-08-01T15:44:13.140820Z","title":"Haresh, D","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18231","last_updated":"2026-07-20T17:58:31Z","snapshot_observed_at":"2026-08-09T01:32:12.598177Z","submitted_at":"2026-07-20T17:58:31Z","title":"FM-VLA: Force-based Memory for Vision-Language-Action Models in Contact-Rich Manipulation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T15:44:13.140820Z"},"links":{"cited_paper":"/paper/2602.21013","citing_paper":"/paper/2607.18231"},"observation_digest":"sha256:1e69c0e7e8fe87a7a5febe81e50684212bf5e3a52dbd816e2db5d26180a95f98","observation_id":"1dcf2d66-6526-485d-8270-80bd725c1ba1","resolution":{"observed_at":"2026-08-01T15:44:13.140820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2602.21013/citation-record","integrity":"/paper/2602.21013/integrity","json":"/paper/2602.21013/citation-record.json","paper":"/paper/2602.21013"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.06817","last_updated":"2023-08-11T17:45:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-12-13T18:55:15Z","title":"RT-1: Robotics Transformer for Real-World Control at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.06817","snapshot_observed_at":"2026-08-02T21:12:10.069479Z","title":"Rt-1: Robotics transformer for real-world control at scale,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.069479Z"},"links":{"cited_paper":"/paper/2212.06817","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:12eb752f631a1bc010d5f1e476d7b82d7c8e15591132ffd723b97aae07ff1745","observation_id":"d2ac0427-84a4-44ae-b0c0-57ac28f42a86","resolution":{"observed_at":"2026-08-02T21:12:10.069479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15818","last_updated":"2023-07-28T21:18:02Z","snapshot_observed_at":"2026-08-02T16:17:50.621617Z","submitted_at":"2023-07-28T21:18:02Z","title":"RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15818","snapshot_observed_at":"2026-08-02T21:12:10.123936Z","title":"Rt- 2: Vision-language-action models transfer web knowledge to robotic control. arxiv,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.123936Z"},"links":{"cited_paper":"/paper/2307.15818","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:cd89fb14373b7f135d8bd66346c532db1aca50c4f2ab9ae98e6da8018ec65d89","observation_id":"7079dd26-423c-4ad6-bf1a-73085c33c2cf","resolution":{"observed_at":"2026-08-02T21:12:10.123936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.09246","snapshot_observed_at":"2026-08-02T21:12:10.229751Z","title":"Openvla: An open-source vision-language-action model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.229751Z"},"links":{"cited_paper":"/paper/2406.09246","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:8ac233d20e1729392881fa90428ddaad5e8ad3eb9cc971261104bdd759a3e054","observation_id":"9d1c3558-9ba2-41e7-a48e-500697f92e44","resolution":{"observed_at":"2026-08-02T21:12:10.229751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24164","last_updated":"2026-01-08T17:01:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-31T17:22:30Z","title":"$\\pi_0$: A Vision-Language-Action Flow Model for General Robot Control","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24164","snapshot_observed_at":"2026-08-02T21:12:10.316815Z","title":"π 0: A vision-language-action flow model for general robot control,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.316815Z"},"links":{"cited_paper":"/paper/2410.24164","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:d89ea77b4e1a00d8eea16b4553619901985abf098de73c2b634e1d12b85b4f25","observation_id":"fd7c07e2-21a1-4452-b806-0eaeb81b7a2b","resolution":{"observed_at":"2026-08-02T21:12:10.316815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:10.404676Z","title":"Open x-embodiment: Robotic learning datasets and rt-x models: Open x- embodiment collaboration 0,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.404676Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:e16cdc91bfb2299fedf95b3897c25912e36c8d7d4ee9dece4efa3e4309c67f21","observation_id":"ce9e0c99-b4bf-431e-a882-d223d05b9900","resolution":{"observed_at":"2026-08-02T21:12:10.404676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:10.507577Z","title":"Clevrskills: Compositional language and visual reasoning in robotics,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.507577Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:10c8ea0177b52123dbd8d73e320b8f7a4276a415cc09d8af033c9f3b91f7fb90","observation_id":"05ab935d-841c-43d1-a5dd-933c37288d31","resolution":{"observed_at":"2026-08-02T21:12:10.507577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18564","last_updated":"2025-07-13T17:41:57Z","snapshot_observed_at":"2026-08-06T11:39:08.144916Z","submitted_at":"2025-01-30T18:37:16Z","title":"SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18564","snapshot_observed_at":"2026-08-02T21:12:10.628008Z","title":"Sam2act: Integrating visual foundation model with a memory architecture for robotic manipulation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.628008Z"},"links":{"cited_paper":"/paper/2501.18564","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:56c968f696363ea5d8fed3b07e85cff0f546095544612e8cbc3917ed4fc12e65","observation_id":"002d0870-0f83-49ee-9804-663a08d57c3b","resolution":{"observed_at":"2026-08-02T21:12:10.628008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.06175","last_updated":"2022-11-11T10:04:29Z","snapshot_observed_at":"2026-08-08T03:18:33.595658Z","submitted_at":"2022-05-12T16:03:26Z","title":"A Generalist Agent","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.06175","snapshot_observed_at":"2026-08-02T21:12:10.751128Z","title":"A generalist agent,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.751128Z"},"links":{"cited_paper":"/paper/2205.06175","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:f2813f829aa36cabc481dbf335490089524d3d8913d09aea1654a782da31e60e","observation_id":"311398da-f99e-49a4-803f-13e132ff4ab4","resolution":{"observed_at":"2026-08-02T21:12:10.751128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:10.838220Z","title":"Octo: An open-source generalist robot policy,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.838220Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:7b06a7b613b38001a532e034766e1b7b04295c035bfecb5683f00dd6087c5e54","observation_id":"aaa7f9cb-935f-4996-bd7a-1a75c0dc346b","resolution":{"observed_at":"2026-08-02T21:12:10.838220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09844","last_updated":"2024-07-10T15:56:14Z","snapshot_observed_at":"2026-07-06T17:30:34.153488Z","submitted_at":"2024-02-15T10:01:55Z","title":"Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09844","snapshot_observed_at":"2026-08-02T21:12:10.929582Z","title":"Jack of all trades, master of some, a multi-purpose transformer agent,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:10.929582Z"},"links":{"cited_paper":"/paper/2402.09844","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:37b9b21f7e8aea63a99f3863995434af32f6f02400882f14915bda9645dd065a","observation_id":"b8d2a916-7025-4562-9f4c-d070c972f810","resolution":{"observed_at":"2026-08-02T21:12:10.929582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.16054","last_updated":"2025-04-22T17:31:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-22T17:31:29Z","title":"$\\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.16054","snapshot_observed_at":"2026-08-02T21:12:11.016607Z","title":"π0.5: a vision- language-action model with open-world generalization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.016607Z"},"links":{"cited_paper":"/paper/2504.16054","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:19fce2c3f60b58ae4749e0e33eb22701026c392d6f67ed14695aaba7268c1904","observation_id":"9733372d-3292-4d28-92cd-2715eac8a56c","resolution":{"observed_at":"2026-08-02T21:12:11.016607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15830","last_updated":"2025-05-19T02:40:18Z","snapshot_observed_at":"2026-07-06T20:26:31.558337Z","submitted_at":"2025-01-27T07:34:33Z","title":"SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15830","snapshot_observed_at":"2026-08-02T21:12:11.092475Z","title":"Spatialvla: Exploring spatial representations for visual- language-action model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.092475Z"},"links":{"cited_paper":"/paper/2501.15830","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:eb543d01ed19fe9478e16cb291e0cc6d1a06582edbe320f0c01ffbf55a93ca09","observation_id":"53ffc5c0-1414-4db1-a305-48e05f96d9e7","resolution":{"observed_at":"2026-08-02T21:12:11.092475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09631","last_updated":"2024-03-14T17:58:41Z","snapshot_observed_at":"2026-08-05T20:54:58.855446Z","submitted_at":"2024-03-14T17:58:41Z","title":"3D-VLA: A 3D Vision-Language-Action Generative World Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09631","snapshot_observed_at":"2026-08-02T21:12:11.164921Z","title":"3d-vla: A 3d vision-language-action generative world model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.164921Z"},"links":{"cited_paper":"/paper/2403.09631","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:09e23e162425560d27dee71ea191ae3cb57120d45cd877f2a3ed09acda43ab05","observation_id":"d1a4d5aa-079b-4c3b-bb8a-141773ed4568","resolution":{"observed_at":"2026-08-02T21:12:11.164921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01378","last_updated":"2024-02-05T03:46:00Z","snapshot_observed_at":"2026-07-31T21:45:51.138808Z","submitted_at":"2023-11-02T16:34:33Z","title":"Vision-Language Foundation Models as Effective Robot Imitators","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.01378","snapshot_observed_at":"2026-08-02T21:12:11.244767Z","title":"Vision-language foundation models as effective robot imitators,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.244767Z"},"links":{"cited_paper":"/paper/2311.01378","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:21ca316a26bf71c631a34b57dfede58898cc203a1d43b2807bcaf59164231871","observation_id":"acf4a9f8-ca4f-4cc7-a719-92cd552dba1c","resolution":{"observed_at":"2026-08-02T21:12:11.244767Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:11.311803Z","title":"Robomamba: Efficient vision-language-action model for robotic reasoning and manipulation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.311803Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:b16d7adc8812c20c0f1ea7a36d7d10846d5655e93565cb589726aa4cc7f9453b","observation_id":"23422cdd-2af3-4248-a2e3-7c31552c2e9a","resolution":{"observed_at":"2026-08-02T21:12:11.311803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.22391","last_updated":"2025-06-04T17:58:20Z","snapshot_observed_at":"2026-07-06T19:41:46.397542Z","submitted_at":"2024-10-29T17:55:47Z","title":"A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.22391","snapshot_observed_at":"2026-08-02T21:12:11.386677Z","title":"A large recurrent action model: xlstm enables fast inference for robotics tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.386677Z"},"links":{"cited_paper":"/paper/2410.22391","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:8cac5623f33d62ecbbce1efd1b04ded42d665122229217ba976407c2bc41a980","observation_id":"f87506b5-cb08-46bb-b5d2-3b13e600df97","resolution":{"observed_at":"2026-08-02T21:12:11.386677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08693","last_updated":"2025-03-06T19:29:03Z","snapshot_observed_at":"2026-08-07T02:44:43.738657Z","submitted_at":"2024-07-11T17:31:01Z","title":"Robotic Control via Embodied Chain-of-Thought Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08693","snapshot_observed_at":"2026-08-02T21:12:11.459016Z","title":"Robotic control via embodied chain-of-thought reasoning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.459016Z"},"links":{"cited_paper":"/paper/2407.08693","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:a5717d24d2e424e0821b49da454177fea5e760e6b49061dfdabf15b49bb9be77","observation_id":"2f95dd9b-33bf-46a8-9720-3c41118e16ef","resolution":{"observed_at":"2026-08-02T21:12:11.459016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20095","last_updated":"2025-01-30T17:34:37Z","snapshot_observed_at":"2026-07-06T18:38:38.104034Z","submitted_at":"2024-06-28T17:59:12Z","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20095","snapshot_observed_at":"2026-08-02T21:12:11.543924Z","title":"Llara: Su- percharging robot learning data for vision-language policy,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.543924Z"},"links":{"cited_paper":"/paper/2406.20095","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:5a46227d713587b108d59c718ea21eea00493a8178380fd66febf0d2cc319aee","observation_id":"ebb8ebe2-0691-4b39-87ec-73ad9f9ad08c","resolution":{"observed_at":"2026-08-02T21:12:11.543924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:11.610097Z","title":"Towards an episodic memory for cognitive robots,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.610097Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:abd5172c34302f30b6fc60055b95fd5040d0ab9996f931bada479c0a2512f3d7","observation_id":"1dc64a71-304e-46e4-8bf8-a85ce3e8645d","resolution":{"observed_at":"2026-08-02T21:12:11.610097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:11.684681Z","title":"Simultaneous localization and mapping (slam): Part ii,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.684681Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:2ab2b4ae4741226953a1da9445789efd5cd6b9456979a41c2ca700626cfbf38c","observation_id":"5a3c130f-c285-4996-8078-1f1cb1bd0161","resolution":{"observed_at":"2026-08-02T21:12:11.684681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:11.767408Z","title":"Object goal navigation using goal-oriented semantic exploration,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.767408Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:c2111ffb6704df59cff798752eb93af9095d04733e5453d42951fdd26693194a","observation_id":"49cf28a9-51d7-4b2a-9c22-a67cb53d417d","resolution":{"observed_at":"2026-08-02T21:12:11.767408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:11.839914Z","title":"Visual simultaneous localization and mapping: a survey,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.839914Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:2b4f222808d28fc5d7058f92e10b1b52b0ddc954ee99003c69a16348f29902f9","observation_id":"a362799d-b9ef-4d43-8922-2691900812a4","resolution":{"observed_at":"2026-08-02T21:12:11.839914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:11.915636Z","title":"Memory-augmented reinforcement learning for image-goal navigation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.915636Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:cae5406cf1198b7c0b5f0432c806fe9de6d80830b6a448b5d1fdc7931504a94e","observation_id":"2ef7c771-6e4b-45c3-a304-95e9c1accbd1","resolution":{"observed_at":"2026-08-02T21:12:11.915636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:11.991471Z","title":"Scene memory trans- former for embodied agents in long-horizon tasks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:11.991471Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:f7137b2b610cd6c930878b41f11e55e9d1df1225688c3e6667cc75c3f5c3cd44","observation_id":"125bd1fc-c8d7-480e-a4fb-3cd3baa85daa","resolution":{"observed_at":"2026-08-02T21:12:11.991471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:12.079015Z","title":"Emergence of maps in the memories of blind navigation agents,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:12.079015Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:41c2f9daa9592b5a291ddd3ba05d4588ea83013c909ed455e6298f4caadee152","observation_id":"905fdec3-b34a-4120-a53d-f31a5b75687f","resolution":{"observed_at":"2026-08-02T21:12:12.079015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:12.145061Z","title":"Copa: General robotic manipulation through spatial constraints of parts with foundation models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:12.145061Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:6518686c3ec6180bc8ad05ec53ba9a750f817f59c0a4c22636e3a33c9bed569a","observation_id":"1571266e-60ca-4c6b-9d39-5b92927c4820","resolution":{"observed_at":"2026-08-02T21:12:12.145061Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.05973","last_updated":"2023-11-02T06:53:37Z","snapshot_observed_at":"2026-08-05T01:03:23.456778Z","submitted_at":"2023-07-12T07:40:48Z","title":"VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.05973","snapshot_observed_at":"2026-08-02T21:12:12.232822Z","title":"V oxposer: Composable 3d value maps for robotic manipulation with language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:12.232822Z"},"links":{"cited_paper":"/paper/2307.05973","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:d7989196df0ce593a092c725e307f9bcbdfd514f8126c4bf547d45bb3d7083ff","observation_id":"e648e06b-04c3-4a2d-9d64-40dbe2b7b8c2","resolution":{"observed_at":"2026-08-02T21:12:12.232822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:12.394656Z","title":"Out of sight, still in mind: Reasoning and planning about unobserved objects with video tracking enabled memory models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:12.394656Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:9ae971d5ed315de0a005e403764d4a3d4ff2618f825a978905622f5cd8584073","observation_id":"8c42b8f4-4226-4ea2-a022-2d68b3ec9c20","resolution":{"observed_at":"2026-08-02T21:12:12.394656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:12.561109Z","title":"Robot-r1: Reinforcement learning for enhanced embodied reasoning in robotics,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:12.561109Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:46da02e70c56b89d5dd982e38c70127903d91ed2c37772f8d34a490102af59b1","observation_id":"42a26123-975c-41f9-909c-cbcb7649cb85","resolution":{"observed_at":"2026-08-02T21:12:12.561109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.00114","last_updated":"2021-11-30T21:32:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-11-30T21:32:46Z","title":"Show Your Work: Scratchpads for Intermediate Computation with Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00114","snapshot_observed_at":"2026-08-02T21:12:12.686442Z","title":"Show your work: Scratchpads for intermediate computation with language models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:12.686442Z"},"links":{"cited_paper":"/paper/2112.00114","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:b6dad7774293055c3f538f1f31824bb949cf33d4a376b8728271430d5c907518","observation_id":"3379142e-be4d-4721-aaf3-9d768ac768a0","resolution":{"observed_at":"2026-08-02T21:12:12.686442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14058","last_updated":"2026-02-13T02:05:15Z","snapshot_observed_at":"2026-08-05T18:48:10.679925Z","submitted_at":"2024-12-18T17:07:20Z","title":"What Matters in Building Vision-Language-Action Models for Generalist Robots","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14058","snapshot_observed_at":"2026-08-02T21:12:12.842554Z","title":"Towards generalist robot policies: What matters in building vision-language-action models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:12.842554Z"},"links":{"cited_paper":"/paper/2412.14058","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:e90973e07b582af8d44e7fe98e5b1c612a013d4b84f4fb22a5f7c309bd7b15f1","observation_id":"3ada60f4-cda7-444f-9bde-9c004195bb68","resolution":{"observed_at":"2026-08-02T21:12:12.842554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:13.006907Z","title":"Interleave-vla: Enhancing robot manipulation with interleaved image-text instructions,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:13.006907Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:e7d24df1c4c044a701d407838a042b6c12d67481c05bb89243bc0cf537f3b228","observation_id":"5fa08f25-bc81-49a2-8ba9-4175cd5f09a4","resolution":{"observed_at":"2026-08-02T21:12:13.006907Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:13.124512Z","title":"Neural networks and the chomsky hierarchy,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:13.124512Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:52fb3d48a2df0a097e8d41f152e6390bc1d6ba266ecde9279a6402aea4a379a0","observation_id":"8fc5faa3-8783-4c32-a5a2-1b75ba542ef4","resolution":{"observed_at":"2026-08-02T21:12:13.124512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:13.232862Z","title":"Maniskill2: A unified benchmark for generalizable manipulation skills,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:13.232862Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:7c2fe9863d41c52d4efd41e2ebf4eee4fdfb3737f195eb9a7d4876ab4832269a","observation_id":"2cdc5594-2ccc-425d-91b8-10ade3969881","resolution":{"observed_at":"2026-08-02T21:12:13.232862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.03555","last_updated":"2024-12-04T18:50:42Z","snapshot_observed_at":"2026-07-06T20:01:45.826971Z","submitted_at":"2024-12-04T18:50:42Z","title":"PaliGemma 2: A Family of Versatile VLMs for Transfer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.03555","snapshot_observed_at":"2026-08-02T21:12:13.358740Z","title":"Paligemma 2: A family of versatile vlms for transfer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:13.358740Z"},"links":{"cited_paper":"/paper/2412.03555","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:eac9e43e16b3f156cb2dee1116b197282024223a8d782ae06389835d311212e1","observation_id":"12848788-904a-4987-b2ac-a5ea73aba1e7","resolution":{"observed_at":"2026-08-02T21:12:13.358740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00118","last_updated":"2024-10-02T15:22:49Z","snapshot_observed_at":"2026-08-02T16:20:09.773989Z","submitted_at":"2024-07-31T19:13:07Z","title":"Gemma 2: Improving Open Language Models at a Practical Size","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00118","snapshot_observed_at":"2026-08-02T21:12:13.448510Z","title":"Gemma 2: Improving open language models at a practical size,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:13.448510Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:412802bddd6833527f4e29249d5c356a20684284baa0ee3eb05553a1eeb4591a","observation_id":"1a67be30-ec65-4772-a77e-7cf37899df3e","resolution":{"observed_at":"2026-08-02T21:12:13.448510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:13.558086Z","title":"Sigmoid loss for language image pre-training,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:13.558086Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:de68f61028138676743586ec97a6105d21de90aa1e083e05bad029a52b9bc524","observation_id":"fed4337d-68cc-4a4c-ad45-25d25f97af63","resolution":{"observed_at":"2026-08-02T21:12:13.558086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-02T21:12:13.709854Z","title":"Adam: A method for stochastic optimiza- tion,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:13.709854Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:ddd1dfdf88578c8b6a7bfb8d6fc087c5f518bf1fbbb375412d2271adeb38bd26","observation_id":"57bf0d44-eac0-4d8c-86a3-5948fac56682","resolution":{"observed_at":"2026-08-02T21:12:13.709854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-02T21:12:13.914422Z","title":"Mamba: Linear-time sequence modeling with selective state spaces,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:13.914422Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:3c92d767a34b1144f13de115029cfd0532df2ca3381a969050f67588f695a807","observation_id":"a23fd929-832c-4168-84be-ea1b0681bf5b","resolution":{"observed_at":"2026-08-02T21:12:13.914422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-02T21:12:14.168478Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:14.168478Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:8ad62e635158ba9f2f1f0ca4992a1b89a4fd0718050c53019aaccac7f06d4e8d","observation_id":"bf925b02-b644-41f5-9ce7-8430eddcf2f7","resolution":{"observed_at":"2026-08-02T21:12:14.168478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:14.341790Z","title":"Py- torch: An imperative style, high-performance deep learning library,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:14.341790Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:2d5e58df47353ebf44db1fc06f38c67cf937a31b37d9dedb6d3e79f29fe6dcc3","observation_id":"e3b58103-2181-4b9c-a735-77ff86922e2f","resolution":{"observed_at":"2026-08-02T21:12:14.341790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:14.547502Z","title":"Rlbench: The robot learning benchmark & learning environment,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:14.547502Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:29cf4c4754f4f0a39b8e4919c9a7bdbed24f7984b0975e71e95977e8f0232457","observation_id":"03b39e23-06bf-4e79-9369-61f486d719f7","resolution":{"observed_at":"2026-08-02T21:12:14.547502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:14.723034Z","title":"Rvt2: Learning precise manipulation from few demonstrations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:14.723034Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:7438c9437c2a536e820c58d9463d5d3d42cc3fe253018e5b07850a34c970596c","observation_id":"bf967bcb-532b-47d8-9564-23ffb3cbb561","resolution":{"observed_at":"2026-08-02T21:12:14.723034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:12:14.884297Z","title":"LoRA: Low-rank adaptation of large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T21:12:14.884297Z"},"links":{"citing_paper":"/paper/2602.21013"},"observation_digest":"sha256:6ff74c26eba6eb210c9d1a01208bb7cf9c874ee469c1b254aa823889539b271f","observation_id":"339775f4-1713-4cd6-aae0-f74452f89397","resolution":{"observed_at":"2026-08-02T21:12:14.884297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.21013","last_updated":"2026-05-29T17:02:38Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T08:52:59.799145Z","submitted_at":"2026-02-24T15:30:55Z","title":"Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":44},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2602.21013."}