{"as_of":"2026-08-18T00:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ecff8d8bc7bf0888568d2e9f2af7b3a7ada96266df05dd83d24614d17fd3ac30","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:58:46.520249Z","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":"2026-07-02T03:56:34.755305Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-11T12:59:14.290655Z","title":"Delta: Decomposed efficient long-term robot task planning using large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.13652","last_updated":"2025-03-25T09:06:08Z","snapshot_observed_at":"2026-08-12T21:38:59.632066Z","submitted_at":"2024-12-18T09:31:06Z","title":"RelationField: Relate Anything in Radiance Fields","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T12:59:14.290655Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2412.13652"},"observation_digest":"sha256:e95f8cbd2c8911e17c711aef4fe9c41f975bd323d00259d093f61820c792ca2e","observation_id":"414c4e87-6d40-4146-a38b-d405fe38d6e4","resolution":{"observed_at":"2026-08-11T12:59:14.290655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-09T13:31:47.226790Z","title":"Delta: Decomposed efficient long-term robot task planning using large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02067","last_updated":"2025-03-06T18:09:38Z","snapshot_observed_at":"2026-08-16T05:55:05.856004Z","submitted_at":"2025-02-04T07:32:39Z","title":"AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T13:31:47.226790Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2502.02067"},"observation_digest":"sha256:8e8ff82bdce4cbcbc4a0072efd92ad5b948fa2f1672a42a6ca2195fb0a1121d4","observation_id":"60ef6f98-c50c-42b4-9ffa-1724c3821edc","resolution":{"observed_at":"2026-08-09T13:31:47.226790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-16T04:58:46.520249Z","title":"Delta: Decomposed efficient long-term robot task planning using large lan- guage models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.21716","last_updated":"2025-04-30T15:00:20Z","snapshot_observed_at":"2026-08-17T13:29:14.879865Z","submitted_at":"2025-04-30T15:00:20Z","title":"LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T04:58:46.520249Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2504.21716"},"observation_digest":"sha256:703601886d8545312f4df6d3612ac1fd543268d911b15130bf0b64a860ce5649","observation_id":"b8186b05-d6ed-492f-b059-e35c6ec4c081","resolution":{"observed_at":"2026-08-16T04:58:46.520249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-16T00:05:08.550657Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03035","last_updated":"2025-05-05T21:26:03Z","snapshot_observed_at":"2026-08-17T23:22:31.994864Z","submitted_at":"2025-05-05T21:26:03Z","title":"MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-16T00:05:08.550657Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2505.03035"},"observation_digest":"sha256:78a587d6384e2476d2daf5585482ada6fe9cb6e0b40a1d92645e26c0e3fab90f","observation_id":"f573613b-ad9c-40b8-a130-5fcdccd2293b","resolution":{"observed_at":"2026-08-16T00:05:08.550657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-07T10:59:53.278078Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03760","last_updated":"2025-06-04T09:25:12Z","snapshot_observed_at":"2026-08-16T01:37:39.675349Z","submitted_at":"2025-06-04T09:25:12Z","title":"Understanding Physical Properties of Unseen Deformable Objects by Leveraging Large Language Models and Robot Actions","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:59:53.278078Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2506.03760"},"observation_digest":"sha256:facd765bcc90b39f7944cd7cfb8bbd2810e7bb5c6a0b0f7cf673d728be062279","observation_id":"627a0f83-217e-4709-9aa5-62357e84588f","resolution":{"observed_at":"2026-08-07T10:59:53.278078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":"2404.03275","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-07-02T03:56:34.755305Z","title":"Delta: Decomposed efficient long-term robot task planning using large lan- guage models,","venue":null,"work_id":"7cb9ec23-ad7d-480d-b8e7-b33aaba25ba0","year":2024},"citing_paper":{"arxiv_id":"2506.04500","last_updated":"2026-04-09T04:05:58Z","snapshot_observed_at":"2026-08-15T02:17:21.488285Z","submitted_at":"2025-06-04T22:47:53Z","title":"\"Don't Do That!\": Guiding Embodied Systems through Large Language Model-based Constraint Generation","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-19T10:30:27.456912Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2506.04500"},"observation_digest":"sha256:7d7a716f00b6ac19c5218276bcb1759bf8916a4418fd10f8f7c578a17367cc63","observation_id":"bcfb3b4d-a64b-4d6f-b82d-d3f2b71a4d4e","resolution":{"observed_at":"2026-05-19T10:32:14.618051Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-15T19:28:36.341645Z","title":"Delta: Decomposed effi- cient long-term robot task planning using large language models, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16493","last_updated":"2025-06-19T17:38:00Z","snapshot_observed_at":"2026-08-18T00:06:27.220657Z","submitted_at":"2025-06-19T17:38:00Z","title":"Grounding Language Models with Semantic Digital Twins for Robotic Planning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T19:28:36.341645Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2506.16493"},"observation_digest":"sha256:347b50a95a5f1950fea2969734c7d5058b5731d2486d5fced18c7973f3342c4f","observation_id":"bf45b35c-09c7-4c5f-988f-d177bf94910d","resolution":{"observed_at":"2026-08-15T19:28:36.341645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-06T23:09:55.479290Z","title":"Delta: Decomposed efficient long-term robot task plan- ning using large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19592","last_updated":"2025-06-30T14:40:24Z","snapshot_observed_at":"2026-08-17T15:59:12.670990Z","submitted_at":"2025-06-24T13:02:06Z","title":"Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:09:55.479290Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2506.19592"},"observation_digest":"sha256:7e410b2d3c930bae95ed2efdb214515032813a2a4ee19cad77417734d4a15616","observation_id":"553003d2-2e53-4986-b46e-255e20913891","resolution":{"observed_at":"2026-08-06T23:09:55.479290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-05T22:11:49.473178Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07421","last_updated":"2025-08-10T16:33:32Z","snapshot_observed_at":"2026-08-12T08:51:19.367221Z","submitted_at":"2025-08-10T16:33:32Z","title":"Triple-S: A Collaborative Multi-LLM Framework for Solving Long-Horizon Implicative Tasks in Robotics","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T22:11:49.473178Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2508.07421"},"observation_digest":"sha256:4aab642eb44713467a7f1f5b2d0da4efcc059c68f534a667845708ffd9163af0","observation_id":"430d9641-1dda-4447-af94-f3be50631085","resolution":{"observed_at":"2026-08-05T22:11:49.473178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-07-15T14:22:08.027014Z","title":"Delta: Decomposed efficient long-term robot task planning using large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.05642","last_updated":"2026-05-27T15:29:52Z","snapshot_observed_at":"2026-08-14T21:31:49.692285Z","submitted_at":"2026-03-05T19:52:26Z","title":"Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-15T14:22:08.027014Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2603.05642"},"observation_digest":"sha256:27d6cae9a9a679e54527acef9f7ddf5228d15b9603a35f156b98f9b3c0c23686","observation_id":"7a0f477f-644d-4f46-969c-be426e5b9699","resolution":{"observed_at":"2026-07-15T14:22:08.027014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":"2404.03275","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-07-02T03:56:34.755305Z","title":"Delta: Decomposed efficient long-term robot task planning using large lan- guage models,","venue":null,"work_id":"7cb9ec23-ad7d-480d-b8e7-b33aaba25ba0","year":2024},"citing_paper":{"arxiv_id":"2606.04226","last_updated":"2026-06-02T21:25:49Z","snapshot_observed_at":"2026-08-09T03:56:31.844306Z","submitted_at":"2026-06-02T21:25:49Z","title":"PerceptTwin: Semantic Scene Reconstruction for Iterative LLM Planning and Verification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T09:34:34.220944Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2606.04226"},"observation_digest":"sha256:cf781dc8dacc821e3b4b426cf2fbbffddebb017197471ff6e3faeaf2e17714a6","observation_id":"ee605c99-f41d-45f8-a1de-698821531870","resolution":{"observed_at":"2026-07-02T03:56:34.756852Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03275","snapshot_observed_at":"2026-08-04T19:45:34.972630Z","title":null,"venue":null,"work_id":null,"year":2024},"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":158,"source":"pdf_text","source_observed_at":"2026-08-04T19:45:34.972630Z"},"links":{"cited_paper":"/paper/2404.03275","citing_paper":"/paper/2608.01851"},"observation_digest":"sha256:04b344da8fe71a5097d640314f8e22ab430e361b8266c05957b116b68b8b755b","observation_id":"7b0ebd77-cea3-4a8e-a5ef-56c73c901e8e","resolution":{"observed_at":"2026-08-04T19:45:34.972630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.03275/citation-record","integrity":"/paper/2404.03275/integrity","json":"/paper/2404.03275/citation-record.json","paper":"/paper/2404.03275"},"outbound":[],"paper":{"arxiv_id":"2404.03275","last_updated":"2025-04-01T14:33:53Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T14:03:43.107334Z","submitted_at":"2024-04-04T07:59:24Z","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2404.03275."}