{"as_of":"2026-08-10T07:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b82f5552dd85b3755a585c134206302331d9c19b436d2bdf6566e4d901993004","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:12:10.228538Z","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":"2026-05-18T19:11:47.452105Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.19471","last_updated":"2025-02-14T02:40:55Z","snapshot_observed_at":"2026-08-09T04:25:25.894108Z","submitted_at":"2024-09-28T22:33:44Z","title":"SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19471","snapshot_observed_at":"2026-08-07T14:12:10.228538Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19683","last_updated":"2025-05-26T08:44:53Z","snapshot_observed_at":"2026-08-08T09:25:43.689145Z","submitted_at":"2025-05-26T08:44:53Z","title":"Large Language Models for Planning: A Comprehensive and Systematic Survey","version":1},"reference_index":285,"source":"pdf_text","source_observed_at":"2026-08-07T14:12:10.228538Z"},"links":{"cited_paper":"/paper/2409.19471","citing_paper":"/paper/2505.19683"},"observation_digest":"sha256:99601d92fa018c96a3961c73267e9b10ca88ae7017dd51bc30abc32073af824c","observation_id":"53546894-2b4c-4d8e-b389-59bc75be36b0","resolution":{"observed_at":"2026-08-07T14:12:10.228538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19471","last_updated":"2025-02-14T02:40:55Z","snapshot_observed_at":"2026-08-09T04:25:25.894108Z","submitted_at":"2024-09-28T22:33:44Z","title":"SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19471","snapshot_observed_at":"2026-08-06T04:32:11.304513Z","title":"S.; Jiang, N.; Bera, A.; Tan, L.; and Jagannathan, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03526","last_updated":"2026-05-24T16:41:59Z","snapshot_observed_at":"2026-08-10T02:40:30.988967Z","submitted_at":"2025-08-05T14:57:37Z","title":"CollaBot: Vision-Language Guided Simultaneous Collaborative Manipulation","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T04:32:11.304513Z"},"links":{"cited_paper":"/paper/2409.19471","citing_paper":"/paper/2508.03526"},"observation_digest":"sha256:3f916022f02b67db930cb63de2d657246f15d7879563bcde014b12c14525862b","observation_id":"c0a99d20-8724-49e5-8f18-a6012059ece4","resolution":{"observed_at":"2026-08-06T04:32:11.304513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19471","last_updated":"2025-02-14T02:40:55Z","snapshot_observed_at":"2026-08-09T04:25:25.894108Z","submitted_at":"2024-09-28T22:33:44Z","title":"SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models","version":2},"cited_work":{"arxiv_id":"2409.19471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.19471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Selp: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models","venue":null,"work_id":"2dfef588-c57f-4a29-97c3-acbfca1e2992","year":2025},"citing_paper":{"arxiv_id":"2509.01728","last_updated":"2026-04-16T14:35:52Z","snapshot_observed_at":"2026-07-06T22:21:53.366107Z","submitted_at":"2025-09-01T19:17:40Z","title":"Constrained Decoding for Safe Robot Navigation Foundation Models","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-18T19:07:18.832187Z"},"links":{"cited_paper":"/paper/2409.19471","citing_paper":"/paper/2509.01728"},"observation_digest":"sha256:69dea3ac2e2ca2505f1f48425193dea4dce6b8ebe74d26f0d75d7c1966d4ec27","observation_id":"f3c5224f-74fc-4c64-bc64-34fe76cf59ff","resolution":{"observed_at":"2026-05-18T19:11:47.454375Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19471","last_updated":"2025-02-14T02:40:55Z","snapshot_observed_at":"2026-08-09T04:25:25.894108Z","submitted_at":"2024-09-28T22:33:44Z","title":"SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19471","snapshot_observed_at":"2026-08-03T08:15:35.003776Z","title":"Iyengar, Nan Jiang, Aniket Bera, Lin Tan, and Suresh Jagannathan","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.17717","last_updated":"2026-06-09T20:25:14Z","snapshot_observed_at":"2026-08-08T23:34:38.789355Z","submitted_at":"2026-01-25T06:40:25Z","title":"A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data","version":3},"reference_index":237,"source":"arxiv_source","source_observed_at":"2026-08-03T08:15:35.003776Z"},"links":{"cited_paper":"/paper/2409.19471","citing_paper":"/paper/2601.17717"},"observation_digest":"sha256:0263006e0ebf0ba71cbdbc5e3bf1276fa9060c9717a0e09115bf6b6b58533665","observation_id":"80e69545-a4cb-49b8-8520-6b663f96b61d","resolution":{"observed_at":"2026-08-03T08:15:35.003776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19471","last_updated":"2025-02-14T02:40:55Z","snapshot_observed_at":"2026-08-09T04:25:25.894108Z","submitted_at":"2024-09-28T22:33:44Z","title":"SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19471","snapshot_observed_at":"2026-07-13T19:22:24.103426Z","title":"SELP: Generating safe and efficient task plans for robot agents with large language models.arXiv preprint arXiv:2409.19471,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.23800","last_updated":"2026-07-07T21:17:20Z","snapshot_observed_at":"2026-08-07T03:03:26.076781Z","submitted_at":"2026-03-25T00:24:12Z","title":"Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-13T19:22:24.103426Z"},"links":{"cited_paper":"/paper/2409.19471","citing_paper":"/paper/2603.23800"},"observation_digest":"sha256:329422a5b4b029c4c48734990edbb830540304a9c6be497804b62ff19769e10e","observation_id":"62567796-1849-494c-a10f-c081627de1d1","resolution":{"observed_at":"2026-07-13T19:22:24.103426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19471","last_updated":"2025-02-14T02:40:55Z","snapshot_observed_at":"2026-08-09T04:25:25.894108Z","submitted_at":"2024-09-28T22:33:44Z","title":"SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models","version":2},"cited_work":{"arxiv_id":"2409.19471","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.19471","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Selp: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models","venue":null,"work_id":"2dfef588-c57f-4a29-97c3-acbfca1e2992","year":2025},"citing_paper":{"arxiv_id":"2604.05427","last_updated":"2026-04-07T04:46:06Z","snapshot_observed_at":"2026-08-08T11:20:51.590364Z","submitted_at":"2026-04-07T04:46:06Z","title":"Pre-Execution Safety Gate & Task Safety Contracts for LLM-Controlled Robot Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T19:38:32.567165Z"},"links":{"cited_paper":"/paper/2409.19471","citing_paper":"/paper/2604.05427"},"observation_digest":"sha256:092ae97932cffd31b7e91d8e82191868e4f24592781f2fe4957b3295e644ab3c","observation_id":"bc0a3b0b-fff8-4f04-a2a8-4343335e2186","resolution":{"observed_at":"2026-05-10T22:40:51.626926Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.19471/citation-record","integrity":"/paper/2409.19471/integrity","json":"/paper/2409.19471/citation-record.json","paper":"/paper/2409.19471"},"outbound":[],"paper":{"arxiv_id":"2409.19471","last_updated":"2025-02-14T02:40:55Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T04:25:25.894108Z","submitted_at":"2024-09-28T22:33:44Z","title":"SELP: Generating Safe and Efficient Task Plans for Robot Agents with 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.19471."}