{"as_of":"2026-08-20T01:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c7cdf445a4529046c6c089471b0a54d6f98d609cb478e01281edb2c35c0dd6ae","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:44:52.878921Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T15:21:32.879469Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.06531","last_updated":"2024-03-22T00:21:04Z","snapshot_observed_at":"2026-08-19T16:27:20.216296Z","submitted_at":"2023-06-10T21:58:29Z","title":"AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers","version":3},"cited_work":{"arxiv_id":"2306.06531","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.06531","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Autotamp: Autoregressive task and motion planning with llms as translators and checkers","venue":null,"work_id":"2d569756-f8fd-45c5-a1d5-e8e1da5d1556","year":2023},"citing_paper":{"arxiv_id":"2304.11477","last_updated":"2023-09-27T07:29:44Z","snapshot_observed_at":"2026-08-12T21:21:48.006892Z","submitted_at":"2023-04-22T20:34:03Z","title":"LLM+P: Empowering Large Language Models with Optimal Planning Proficiency","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-14T18:36:18.342052Z"},"links":{"cited_paper":"/paper/2306.06531","citing_paper":"/paper/2304.11477"},"observation_digest":"sha256:31003f1f6245a322eabba0fbb986596b3405c0f56061f462e7ffb5f814d5425c","observation_id":"8f8c5c69-59ac-4c06-be20-53bdac50a7fb","resolution":{"observed_at":"2026-05-14T18:36:18.459532Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06531","last_updated":"2024-03-22T00:21:04Z","snapshot_observed_at":"2026-08-19T16:27:20.216296Z","submitted_at":"2023-06-10T21:58:29Z","title":"AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06531","snapshot_observed_at":"2026-08-15T21:44:52.878921Z","title":"Autotamp: Autoregressive task and motion planning with llms as trans- lators and checkers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.09108","last_updated":"2025-05-14T03:33:46Z","snapshot_observed_at":"2026-08-18T19:24:55.044084Z","submitted_at":"2025-05-14T03:33:46Z","title":"Air-Ground Collaboration for Language-Specified Missions in Unknown Environments","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T21:44:52.878921Z"},"links":{"cited_paper":"/paper/2306.06531","citing_paper":"/paper/2505.09108"},"observation_digest":"sha256:a430c5e440d3a2972d70045e30e51d33ddb2188732a5b77e21ee4c48c5826d73","observation_id":"f1beb563-3e3b-4ebf-a915-715a6244b0ca","resolution":{"observed_at":"2026-08-15T21:44:52.878921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06531","last_updated":"2024-03-22T00:21:04Z","snapshot_observed_at":"2026-08-19T16:27:20.216296Z","submitted_at":"2023-06-10T21:58:29Z","title":"AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06531","snapshot_observed_at":"2026-08-07T00:15:21.512417Z","title":"Autotamp: Autoregressive task and motion planning with llms as translators and checkers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.14968","last_updated":"2025-06-27T16:48:18Z","snapshot_observed_at":"2026-08-14T16:37:00.594267Z","submitted_at":"2025-06-17T20:30:11Z","title":"FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T00:15:21.512417Z"},"links":{"cited_paper":"/paper/2306.06531","citing_paper":"/paper/2506.14968"},"observation_digest":"sha256:7525a3773fcf3e28614a70c7b87432195e8321894172a6cfd30e07b4d5909352","observation_id":"fcc46145-a242-4f44-b886-2a478faeb2af","resolution":{"observed_at":"2026-08-07T00:15:21.512417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06531","last_updated":"2024-03-22T00:21:04Z","snapshot_observed_at":"2026-08-19T16:27:20.216296Z","submitted_at":"2023-06-10T21:58:29Z","title":"AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers","version":3},"cited_work":{"arxiv_id":"2306.06531","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.06531","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Autotamp: Autoregressive task and motion planning with llms as translators and checkers","venue":null,"work_id":"2d569756-f8fd-45c5-a1d5-e8e1da5d1556","year":2023},"citing_paper":{"arxiv_id":"2509.16615","last_updated":"2026-04-14T09:38:30Z","snapshot_observed_at":"2026-08-15T00:04:12.858839Z","submitted_at":"2025-09-20T10:37:47Z","title":"LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-18T15:19:30.609974Z"},"links":{"cited_paper":"/paper/2306.06531","citing_paper":"/paper/2509.16615"},"observation_digest":"sha256:ad73743a70bb2f9edf98a23ccbb3796f8faef7dbf72066183b1fd7d2f94c3a28","observation_id":"0f88e231-57f4-4a0c-9ad3-ef4b4902ee5d","resolution":{"observed_at":"2026-05-18T15:21:32.882464Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06531","last_updated":"2024-03-22T00:21:04Z","snapshot_observed_at":"2026-08-19T16:27:20.216296Z","submitted_at":"2023-06-10T21:58:29Z","title":"AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06531","snapshot_observed_at":"2026-08-04T19:45:28.120987Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.01851","last_updated":"2026-08-03T07:58:35Z","snapshot_observed_at":"2026-08-17T12:44:12.584111Z","submitted_at":"2026-08-03T07:58:35Z","title":"Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T19:45:28.120987Z"},"links":{"cited_paper":"/paper/2306.06531","citing_paper":"/paper/2608.01851"},"observation_digest":"sha256:8cfd001cae0842c74aede5a1667c1e9131569e4717c56ff2e4e96fa5bc46d9ed","observation_id":"c3fc5405-0213-4b2e-a46c-909b6a5520ef","resolution":{"observed_at":"2026-08-04T19:45:28.120987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.06531/citation-record","integrity":"/paper/2306.06531/integrity","json":"/paper/2306.06531/citation-record.json","paper":"/paper/2306.06531"},"outbound":[],"paper":{"arxiv_id":"2306.06531","last_updated":"2024-03-22T00:21:04Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-19T16:27:20.216296Z","submitted_at":"2023-06-10T21:58:29Z","title":"AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.06531."}