{"as_of":"2026-08-23T22:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd1a180bb8546fae9a4746149a8c27522aec9d809fcf25ab6fc3e6e7c79f491b","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T15:43:52.887974Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2601.20334/citation-record","integrity":"/paper/2601.20334/integrity","json":"/paper/2601.20334/citation-record.json","paper":"/paper/2601.20334"},"outbound":[{"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":"2026-08-15T15:43:52.585263Z","title":"V oxposer: Composable 3d value maps for robotic manipulation with language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.585263Z"},"links":{"cited_paper":"/paper/2307.05973","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:d5fd53167bb32807857b8abddd6a1bd8baf6150deba6a8dab4230a23153610c6","observation_id":"92d26f8b-e033-4208-b5ce-98cd9cb5f84d","resolution":{"observed_at":"2026-08-15T15:43:52.585263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.993551Z","title":"Code as policies: Language model programs for embodied control,","venue":null,"work_id":"541901b9-47ac-4128-afb6-06e4f25d7293","year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.594237Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:d1ef335497434a06819d975e95f86f2a93f8a7a404d261c03e9d7652b202676a","observation_id":"866dd4f1-e3d5-4227-a681-b1b5b245e066","resolution":{"observed_at":"2026-08-15T15:43:54.003749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.01691","last_updated":"2022-08-16T16:06:33Z","snapshot_observed_at":"2026-08-18T11:44:22.813405Z","submitted_at":"2022-04-04T17:57:11Z","title":"Do As I Can, Not As I Say: Grounding Language in Robotic Affordances","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.01691","snapshot_observed_at":"2026-08-15T15:43:52.599986Z","title":"Do as i can, not as i say: Grounding language in robotic affordances,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.599986Z"},"links":{"cited_paper":"/paper/2204.01691","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:31028d3f8946ab3aec7cfcc02500001e38b316a7b482442172a8dc952baaffe8","observation_id":"efc6c90e-8d2b-493b-85f3-68274529abab","resolution":{"observed_at":"2026-08-15T15:43:52.599986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.05608","last_updated":"2022-07-12T15:20:48Z","snapshot_observed_at":"2026-08-17T09:42:08.942018Z","submitted_at":"2022-07-12T15:20:48Z","title":"Inner Monologue: Embodied Reasoning through Planning with Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.05608","snapshot_observed_at":"2026-08-15T15:43:52.607892Z","title":"Inner monologue: Embodied reasoning through planning with language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.607892Z"},"links":{"cited_paper":"/paper/2207.05608","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:b4236c5f54eaa95b173fe061079fdaa2b44c733a147e9cf21e46964720e514f4","observation_id":"d2edf0b4-199a-4e6e-af4c-a4df151fcddd","resolution":{"observed_at":"2026-08-15T15:43:52.607892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.11302","last_updated":"2022-09-22T20:29:49Z","snapshot_observed_at":"2026-08-19T15:20:27.748857Z","submitted_at":"2022-09-22T20:29:49Z","title":"ProgPrompt: Generating Situated Robot Task Plans using Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.11302","snapshot_observed_at":"2026-08-15T15:43:52.618517Z","title":"Progprompt: Generating situated robot task plans using large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.618517Z"},"links":{"cited_paper":"/paper/2209.11302","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:b646febbcbcd8a0cda76000b66fd22ac20dcb691914a11799f0c93c82160f5ad","observation_id":"fb60cee1-563f-4d67-b4b9-366664093c82","resolution":{"observed_at":"2026-08-15T15:43:52.618517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17636","last_updated":"2025-08-25T06:11:33Z","snapshot_observed_at":"2026-08-14T03:03:12.847317Z","submitted_at":"2024-11-26T17:53:44Z","title":"MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17636","snapshot_observed_at":"2026-08-15T15:43:52.624772Z","title":"Malmm: Multi-agent large language models for zero-shot robotic manipulation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.624772Z"},"links":{"cited_paper":"/paper/2411.17636","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:7637971fa510017d66946b2a8e72774d518d77ea3d4fa540a86a56df48a60ae6","observation_id":"ad266f2d-41d8-4849-bf6b-48faac739841","resolution":{"observed_at":"2026-08-15T15:43:52.624772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.971078Z","title":"Gemini robotics: Bringing AI into the physical world,","venue":null,"work_id":"9fa30581-2a37-4376-871d-045717287b01","year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.633175Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:1cba70e73591babae1b249aa10f6019dbf2cba61ddff8a96603d06330c8b5e58","observation_id":"17552f73-2c6a-4d42-8f2b-d2db5a1b5d1e","resolution":{"observed_at":"2026-08-15T15:43:53.977530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-08-17T13:26:10.378579Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-08-15T15:43:52.638702Z","title":"Qwen2.5-vl to qwen3-vl: Seeing the world more clearly,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.638702Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:b0e5f280566cbfc8205ee91318734f786a8b4d38fe1fb1a820cdce1543917abb","observation_id":"9fa4715d-78c1-4f28-a303-774c598dd4d4","resolution":{"observed_at":"2026-08-15T15:43:52.638702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17146","last_updated":"2024-12-05T14:28:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-25T17:59:51Z","title":"Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17146","snapshot_observed_at":"2026-08-15T15:43:52.645249Z","title":"Molmo and pixmo: Open weights and open data for state-of-the-art multimodal models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.645249Z"},"links":{"cited_paper":"/paper/2409.17146","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:ea4b179c19215001bb2dc762c4e65f91ccbd8dc3e7f9d9aac39176f6a55c9da9","observation_id":"1ef7942f-540d-4e95-bd23-a9eb47490b82","resolution":{"observed_at":"2026-08-15T15:43:52.645249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-15T15:43:52.659532Z","title":"Rt-1: Robotics transformer for real-world control at scale,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.659532Z"},"links":{"cited_paper":"/paper/2212.06817","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:c14a1d81f614772b6101584b3ec4d979b2ad516524ea8b27cb5aeea550178ae9","observation_id":"83843f76-28ab-4110-9292-6dd6acd53b3a","resolution":{"observed_at":"2026-08-15T15:43:52.659532Z","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":"2026-08-15T15:43:52.666401Z","title":"Rt-2: Vision-language-action models transfer web knowledge to robotic control,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.666401Z"},"links":{"cited_paper":"/paper/2307.15818","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:7b537d1c236d2894eef368c7bb9240857b365b465394e79b67c2d77a0994d4f1","observation_id":"b7eda1b0-de2c-4acb-84b3-770c92432491","resolution":{"observed_at":"2026-08-15T15:43:52.666401Z","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":"2026-08-16T17:53:54.636855Z","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":"2026-08-15T15:43:52.672536Z","title":"π0: A vision-language-action flow model for general robot control,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.672536Z"},"links":{"cited_paper":"/paper/2410.24164","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:24a64d08a5050e62d062e75dc525eb215430eb119fb4f94036d437df84322f51","observation_id":"5c1262de-5433-4791-b767-107b8084c836","resolution":{"observed_at":"2026-08-15T15:43:52.672536Z","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":"2026-08-15T15:43:52.682453Z","title":"π0.5: a vision- language-action model with open-world generalization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.682453Z"},"links":{"cited_paper":"/paper/2504.16054","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:6d1fa8bc14329d511cfd1b7840ae7f632c88357a73a319b905a000ef2ed276dc","observation_id":"e0e70b23-3f56-4291-b96d-28a4e0aa46a9","resolution":{"observed_at":"2026-08-15T15:43:52.682453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.14759","last_updated":"2025-11-19T04:34:49Z","snapshot_observed_at":"2026-08-20T22:25:56.255434Z","submitted_at":"2025-11-18T18:58:55Z","title":"$\\pi^{*}_{0.6}$: a VLA That Learns From Experience","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.14759","snapshot_observed_at":"2026-08-15T15:43:52.693204Z","title":"π∗ 0.6: a VLA that learns from experience,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.693204Z"},"links":{"cited_paper":"/paper/2511.14759","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:9615d1c4fc03d87435ac2969729c6fe004268b0fe24a00e6953d6af41d8efe37","observation_id":"a3fe5f80-e547-44a5-bc4a-30bdf471146b","resolution":{"observed_at":"2026-08-15T15:43:52.693204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.948433Z","title":"GR00T N1: An open foundation model for generalist humanoid robots,","venue":null,"work_id":"c8c50909-6b5d-4553-ae58-25cb0e9f2c91","year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.702667Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:2adf20c9f71c3a5359dd0947caf883d231531672a0857ce35d88d64de11e8846","observation_id":"14702b19-9596-4af3-a6c6-e966112b609a","resolution":{"observed_at":"2026-08-15T15:43:53.957454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.927405Z","title":"Openvla: An open-source vision-language-action model,","venue":null,"work_id":"c9bcfc0b-3c49-4d31-b902-9b09ebcd4da9","year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.711020Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:1b4cc3a5fd89503ed4891a85064d663a164cb626dc5fa08387c57d19c50af856","observation_id":"36804093-be1d-443e-8553-238096f0ba0a","resolution":{"observed_at":"2026-08-15T15:43:53.934018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.01844","last_updated":"2025-06-02T16:30:19Z","snapshot_observed_at":"2026-08-18T04:25:30.115862Z","submitted_at":"2025-06-02T16:30:19Z","title":"SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.01844","snapshot_observed_at":"2026-08-15T15:43:52.720880Z","title":"Smolvla: A small vision-language-action model for efficient robot learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.720880Z"},"links":{"cited_paper":"/paper/2506.01844","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:bc0fda370739f5a23aa7894cce80faf6974282738b6c72cfc482bc09c61a654f","observation_id":"171ba812-bc0a-448d-a379-11e0cf256684","resolution":{"observed_at":"2026-08-15T15:43:52.720880Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2510.13626","last_updated":"2025-12-26T12:19:56Z","snapshot_observed_at":"2026-08-21T10:57:34.843204Z","submitted_at":"2025-10-15T14:51:36Z","title":"LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.13626","snapshot_observed_at":"2026-08-15T15:43:52.727828Z","title":"Libero-plus: In-depth robustness analysis of vision-language-action models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.727828Z"},"links":{"cited_paper":"/paper/2510.13626","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:9a2d506a6b1c70b9491f6a7a365f8f98e02ae4331b27f17a100ad54ac59dfe07","observation_id":"e000f1ed-6d51-4d0b-b747-b3e40e7a3c89","resolution":{"observed_at":"2026-08-15T15:43:52.727828Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08864","last_updated":"2025-05-14T15:22:36Z","snapshot_observed_at":"2026-08-13T13:59:48.091257Z","submitted_at":"2023-10-13T05:20:40Z","title":"Open X-Embodiment: Robotic Learning Datasets and RT-X Models","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08864","snapshot_observed_at":"2026-08-15T15:43:52.735890Z","title":"Open X-Embodiment: Robotic learning datasets and RT-X models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.735890Z"},"links":{"cited_paper":"/paper/2310.08864","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:9e1ec40185df521e723aff90d20b787b16cae0134083bf6691e3c3dba2b24312","observation_id":"38af911f-a994-48f3-93d2-7d8700e234cf","resolution":{"observed_at":"2026-08-15T15:43:52.735890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-15T15:43:52.750086Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.750086Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:59195f9d2aa51235b3633acf3cf78266d612e3183641f1342aca78a88ef47951","observation_id":"ab131a4a-e03e-475f-b634-4e38da53dc97","resolution":{"observed_at":"2026-08-15T15:43:52.750086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.903857Z","title":"Claude agent sdk,","venue":null,"work_id":"331a0b30-67a9-4afc-9a9c-6829762fe96d","year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.758181Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:c1d32a1eb43da9f18301464bc63e4577e85911a262def9d25a2ac72d97ac6c3e","observation_id":"f7594241-955c-457a-b44c-1c8c3488689b","resolution":{"observed_at":"2026-08-15T15:43:53.911085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.884287Z","title":"Assistants api,","venue":null,"work_id":"0ea1a9af-0fb7-448c-a9d2-86f216d25897","year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.765068Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:3e118d7a8d00c4c59d469aaac7fa6ca0c4ea7da7a0b918497563c2622fccfb52","observation_id":"27194adc-eb65-45ee-addd-63e6a6b0e694","resolution":{"observed_at":"2026-08-15T15:43:53.889603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.862995Z","title":"Gemini agent development kit (adk),","venue":null,"work_id":"335a4e36-0766-4584-988a-0f3ff72b5d37","year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.774760Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:dd73afd12f8159dee0c56152e6d7beb5bf5392d8228a5dd3f317b672d7125259","observation_id":"9c52face-97e7-4d14-8e95-f67fe3af8b25","resolution":{"observed_at":"2026-08-15T15:43:53.869894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.841243Z","title":"Langchain: Building applications with llms,","venue":null,"work_id":"4f87d116-525c-4fc9-87bf-d684d8589e30","year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.779922Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:a8170db1627e9e71121f6c65e6f343bed368a734bdadc2075da8b5bd4edd9b17","observation_id":"c485fcf6-761c-4ee6-bd46-3af625a1bbfc","resolution":{"observed_at":"2026-08-15T15:43:53.847744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09560","last_updated":"2025-06-05T07:22:50Z","snapshot_observed_at":"2026-08-17T21:22:10.233179Z","submitted_at":"2025-02-13T18:11:34Z","title":"EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09560","snapshot_observed_at":"2026-08-15T15:43:52.790465Z","title":"Embodiedbench: Comprehensive benchmarking multi-modal large language models for vision-driven embodied agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.790465Z"},"links":{"cited_paper":"/paper/2502.09560","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:2a2c0954d866a8f6775be846414e0b23713b850275fac35d7edfe33f16d8bfd3","observation_id":"3f6885aa-d304-426e-9b2a-228f52788da6","resolution":{"observed_at":"2026-08-15T15:43:52.790465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.820825Z","title":"Project fetch: Can claude train a robot dog?","venue":null,"work_id":"f6a6bdd9-bb30-48c0-b568-fab4c46189c6","year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.800075Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:e504e9c12c4078b160e5080f31d459ce6fb396010a2fec664880411439c65929","observation_id":"4a3d17ad-22d5-44fd-ad49-a4ecceaf5c05","resolution":{"observed_at":"2026-08-15T15:43:53.826887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17032","last_updated":"2025-11-02T13:42:19Z","snapshot_observed_at":"2026-08-13T22:24:37.672685Z","submitted_at":"2024-07-24T06:35:05Z","title":"Gymnasium: A Standard Interface for Reinforcement Learning Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17032","snapshot_observed_at":"2026-08-15T15:43:52.806386Z","title":"Gymnasium: A standard interface for reinforcement learning environments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.806386Z"},"links":{"cited_paper":"/paper/2407.17032","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:535ca23d3056a6bd987a924c81886a3e7cebb410b95944acbc4d985765e8b96b","observation_id":"8870b2ba-1ad3-4dd6-93fa-889729a58151","resolution":{"observed_at":"2026-08-15T15:43:52.806386Z","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":"2509.25747","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.275699Z","title":"Best of sim and real: Decoupled visuomotor manipulation via learning control in simulation and perception in real,","venue":null,"work_id":"c45c4f41-1c26-4c37-8f0e-ea00475f5770","year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.815357Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:27982610623363eaa5d0483ebb2f76a9bed4b60db9f48d2f2c3f8d822d342bcb","observation_id":"8a76b6c4-e012-4b26-be01-11e844756f8c","resolution":{"observed_at":"2026-08-15T15:43:53.287062Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.795542Z","title":"Nvidia kicks off the next generation of ai with rubin,","venue":null,"work_id":"6b9dc8f5-5247-45a2-9a6b-a46611e40090","year":2026},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.822093Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:3e0d862aed5e735abdcaa025bf237bd9e5ba9d1693400082fb6e24ecd18c9464","observation_id":"96f7fd2c-efe0-431e-bb1b-201916c8b6eb","resolution":{"observed_at":"2026-08-15T15:43:53.801433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.775092Z","title":"Libero: Benchmarking knowledge transfer for lifelong robot learning,","venue":null,"work_id":"c2225043-f07a-42e3-906f-4db18a9de6c5","year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.828448Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:afe05d87ffa84ed9c872e2dd86649194472e0fe2b4230c86fba94a8bf37946d5","observation_id":"e97bf34e-38e9-4297-8795-b0fce6bdbf99","resolution":{"observed_at":"2026-08-15T15:43:53.783366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00425","last_updated":"2025-05-30T05:49:14Z","snapshot_observed_at":"2026-08-16T13:13:51.765058Z","submitted_at":"2024-10-01T06:10:39Z","title":"ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00425","snapshot_observed_at":"2026-08-15T15:43:52.835428Z","title":"ManiSkill3: GPU parallelized robotics simulation and rendering for generalizable embodied AI,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.835428Z"},"links":{"cited_paper":"/paper/2410.00425","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:1b9a024d34c19bde2bec8d5d39ada8aee04fe8507f9771c3a8f6fbd072a8b0a8","observation_id":"a6bfa5ee-bfc5-44c1-a374-3f37762f4618","resolution":{"observed_at":"2026-08-15T15:43:52.835428Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.745716Z","title":"Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning,","venue":null,"work_id":"e990ca9c-8b23-4e00-bb6a-62792b409f73","year":2020},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.841151Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:42311d393daaa240d6b48bf95455d75d4a2aeda17350381c53fbe3dbc6161880","observation_id":"416e7541-3876-425d-b080-74a557a9ada4","resolution":{"observed_at":"2026-08-15T15:43:53.753812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.04137","last_updated":"2024-03-14T04:36:31Z","snapshot_observed_at":"2026-08-08T17:26:38.829859Z","submitted_at":"2023-03-07T18:50:03Z","title":"Diffusion Policy: Visuomotor Policy Learning via Action Diffusion","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.04137","snapshot_observed_at":"2026-08-15T15:43:52.849008Z","title":"Diffusion policy: Visuomotor policy learning via action diffusion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.849008Z"},"links":{"cited_paper":"/paper/2303.04137","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:37a9cb5fe861e5be4f41084f227fdab4e5eed3a81426baf8f11768cbc7b10cf4","observation_id":"f5821bf1-9d12-4b7a-a558-966270b3e0c6","resolution":{"observed_at":"2026-08-15T15:43:52.849008Z","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":"2026-08-15T15:43:52.855966Z","title":"Efficient training of artificial neural networks for autonomous navigation,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.855966Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:be4f5c59b473de08ebf185e5d5731b74ba0fc6bce10eb910590d0e0f1e1d4317","observation_id":"cc30e65d-a41b-4e45-9e05-ec5e6533cb3e","resolution":{"observed_at":"2026-08-15T15:43:52.855966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.20328","last_updated":"2025-09-29T20:44:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-24T17:17:27Z","title":"Video models are zero-shot learners and reasoners","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.20328","snapshot_observed_at":"2026-08-15T15:43:52.863595Z","title":"Video models are zero-shot learners and reasoners,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.863595Z"},"links":{"cited_paper":"/paper/2509.20328","citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:7a18d9be8570455ef917cab56e3114211e4a595a4d26f347895c6d816d033cc6","observation_id":"e2c052fb-ceb4-420f-9995-88755c24e188","resolution":{"observed_at":"2026-08-15T15:43:52.863595Z","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":"2026-08-15T15:43:52.869983Z","title":"Evaluating gemini robotics policies in a veo world simulator,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.869983Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:3e804a228323cbd9a2666a6e7747ee56ef264f876fbbac932d315834daf6bae1","observation_id":"2b61c6da-54f0-4dd4-94d1-50b20c11b517","resolution":{"observed_at":"2026-08-15T15:43:52.869983Z","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":"2026-08-15T15:43:52.875584Z","title":"Embodied ai: From llms to world models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.875584Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:9eaba0ef8089f3320006effb1640ab3b1cbb1e6a8ce4a3300430bd15ed616bb1","observation_id":"ba933e7b-153a-4e84-8a9f-c04fcd3081ea","resolution":{"observed_at":"2026-08-15T15:43:52.875584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:43:53.693432Z","title":"Autonomous chemical research with large language models,","venue":null,"work_id":"dd9f5b4e-714a-4646-bdce-8466d5bf77ff","year":2023},"citing_paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T15:43:52.887974Z"},"links":{"citing_paper":"/paper/2601.20334"},"observation_digest":"sha256:02a94c9a07fd7806317cf721daf09809affbad4bf0c31a3e246c7f2efa567b7e","observation_id":"3ddeee84-12a4-4834-a1cd-e3211a733c22","resolution":{"observed_at":"2026-08-15T15:43:53.700503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2601.20334","last_updated":"2026-06-28T07:42:25Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-22T10:46:08.394037Z","submitted_at":"2026-01-28T07:49:35Z","title":"Demonstration-Free Robotic Control via LLM Agents"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":1,"verified_fuzzy":13},"total_outbound_references":38},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2601.20334."}