{"as_of":"2026-08-08T19:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a5cd18fa011ad0e6d37f97d90475aa6fca8d4abc8abd0ef8301d9bc7150bc225","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:13:46.594060Z","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":"2026-05-19T14:47:36.123420Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.03249","last_updated":"2025-02-24T00:58:13Z","snapshot_observed_at":"2026-08-05T14:15:00.395755Z","submitted_at":"2023-10-05T01:42:16Z","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03249","snapshot_observed_at":"2026-08-06T18:48:17.818646Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07302","last_updated":"2025-07-09T22:01:32Z","snapshot_observed_at":"2026-08-07T05:56:16.811721Z","submitted_at":"2025-07-09T22:01:32Z","title":"Application of LLMs to Multi-Robot Path Planning and Task Allocation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T18:48:17.818646Z"},"links":{"cited_paper":"/paper/2310.03249","citing_paper":"/paper/2507.07302"},"observation_digest":"sha256:96aaf36ce2ef3ca4e679bf11180ac808a3e1aff285ae05fb1c6e4d5039b3e2f4","observation_id":"7a64bd95-3f08-498d-a2d6-430e667fa746","resolution":{"observed_at":"2026-08-06T18:48:17.818646Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03249","last_updated":"2025-02-24T00:58:13Z","snapshot_observed_at":"2026-08-05T14:15:00.395755Z","submitted_at":"2023-10-05T01:42:16Z","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03249","snapshot_observed_at":"2026-08-06T16:50:09.535109Z","title":"Can Large Lan- guage Models be Good Path Planners? A Bench- mark and Investigation on Spatial-temporal Reason- ing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.12391","last_updated":"2025-07-16T16:37:13Z","snapshot_observed_at":"2026-08-08T07:47:53.775753Z","submitted_at":"2025-07-16T16:37:13Z","title":"Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T16:50:09.535109Z"},"links":{"cited_paper":"/paper/2310.03249","citing_paper":"/paper/2507.12391"},"observation_digest":"sha256:b82bcea6491ffb39cafad52dc987fde8fb7ff8b745a7f1f16453635390d816d4","observation_id":"7f6edbf4-224d-4902-ae90-0d0f32c2d5d7","resolution":{"observed_at":"2026-08-06T16:50:09.535109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03249","last_updated":"2025-02-24T00:58:13Z","snapshot_observed_at":"2026-08-05T14:15:00.395755Z","submitted_at":"2023-10-05T01:42:16Z","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03249","snapshot_observed_at":"2026-08-06T13:40:01.114830Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.20395","last_updated":"2025-07-27T19:33:45Z","snapshot_observed_at":"2026-08-06T13:39:58.565174Z","submitted_at":"2025-07-27T19:33:45Z","title":"MazeEval: A Benchmark for Testing Sequential Decision-Making in Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T13:40:01.114830Z"},"links":{"cited_paper":"/paper/2310.03249","citing_paper":"/paper/2507.20395"},"observation_digest":"sha256:69741f0bc20baf25530bb2adc7cdd8fe21a642c4272cf0dbd0fa8372dfee2d43","observation_id":"c22597bd-79f8-4566-8333-8d41d4303dd3","resolution":{"observed_at":"2026-08-06T13:40:01.114830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03249","last_updated":"2025-02-24T00:58:13Z","snapshot_observed_at":"2026-08-05T14:15:00.395755Z","submitted_at":"2023-10-05T01:42:16Z","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning","version":3},"cited_work":{"arxiv_id":"2310.03249","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.03249","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Can large language models be good path planners? a benchmark and investigation on spatial-temporal reasoning","venue":null,"work_id":"5b11b35a-08cc-4d40-985d-5524d83ff692","year":2023},"citing_paper":{"arxiv_id":"2605.10057","last_updated":"2026-05-15T00:13:12Z","snapshot_observed_at":"2026-08-02T14:27:17.809436Z","submitted_at":"2026-05-11T06:34:49Z","title":"STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T02:42:42.419975Z"},"links":{"cited_paper":"/paper/2310.03249","citing_paper":"/paper/2605.10057"},"observation_digest":"sha256:204d39fd155f0d9bcab3c010b04dd715a538d1db2ae3c46a54ddc8294e6d70ca","observation_id":"be7e3e28-c82c-4e64-b41c-639f87b48d9f","resolution":{"observed_at":"2026-05-12T07:31:25.488270Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03249","last_updated":"2025-02-24T00:58:13Z","snapshot_observed_at":"2026-08-05T14:15:00.395755Z","submitted_at":"2023-10-05T01:42:16Z","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning","version":3},"cited_work":{"arxiv_id":"2310.03249","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.03249","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Can large language models be good path planners? a benchmark and investigation on spatial-temporal reasoning","venue":null,"work_id":"5b11b35a-08cc-4d40-985d-5524d83ff692","year":2023},"citing_paper":{"arxiv_id":"2605.10057","last_updated":"2026-05-15T00:13:12Z","snapshot_observed_at":"2026-08-02T14:27:17.809436Z","submitted_at":"2026-05-11T06:34:49Z","title":"STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-13T03:50:25.089976Z"},"links":{"cited_paper":"/paper/2310.03249","citing_paper":"/paper/2605.10057"},"observation_digest":"sha256:a55ee0d6b282750443b3d31cbfb38afc1b7a6149cc5ff3b49e803932a03d4fa9","observation_id":"22f21b16-b120-4ee8-8e3d-4cd72352ceaf","resolution":{"observed_at":"2026-05-13T03:52:12.581082Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03249","last_updated":"2025-02-24T00:58:13Z","snapshot_observed_at":"2026-08-05T14:15:00.395755Z","submitted_at":"2023-10-05T01:42:16Z","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning","version":3},"cited_work":{"arxiv_id":"2310.03249","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.03249","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Can large language models be good path planners? a benchmark and investigation on spatial-temporal reasoning","venue":null,"work_id":"5b11b35a-08cc-4d40-985d-5524d83ff692","year":2023},"citing_paper":{"arxiv_id":"2605.10057","last_updated":"2026-05-15T00:13:12Z","snapshot_observed_at":"2026-08-02T14:27:17.809436Z","submitted_at":"2026-05-11T06:34:49Z","title":"STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-19T14:46:40.165981Z"},"links":{"cited_paper":"/paper/2310.03249","citing_paper":"/paper/2605.10057"},"observation_digest":"sha256:71e6b8bbe45bce99fe9b299137d9a1ee41e1086c205475fe5c17907f015d238e","observation_id":"a234283a-aa14-4395-9373-5179562d13e7","resolution":{"observed_at":"2026-05-19T14:47:36.125832Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03249","last_updated":"2025-02-24T00:58:13Z","snapshot_observed_at":"2026-08-05T14:15:00.395755Z","submitted_at":"2023-10-05T01:42:16Z","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03249","snapshot_observed_at":"2026-08-07T00:13:46.594060Z","title":"Alpert, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04434","last_updated":"2026-08-05T04:24:51Z","snapshot_observed_at":"2026-08-08T19:11:52.501482Z","submitted_at":"2026-08-05T04:24:51Z","title":"OmniRouting: A Semantic-Coupled Multimodal Benchmark for Constraint-Aware Spatial Reasoning in PCB Routing","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:46.594060Z"},"links":{"cited_paper":"/paper/2310.03249","citing_paper":"/paper/2608.04434"},"observation_digest":"sha256:109bf8dd300e2cfff51e23fb9a87ac6f31671c1243304e67122f49ef571259d3","observation_id":"04c334d9-537f-4d33-8cfc-e43e73c0d97b","resolution":{"observed_at":"2026-08-07T00:13:46.594060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.03249/citation-record","integrity":"/paper/2310.03249/integrity","json":"/paper/2310.03249/citation-record.json","paper":"/paper/2310.03249"},"outbound":[],"paper":{"arxiv_id":"2310.03249","last_updated":"2025-02-24T00:58:13Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T14:15:00.395755Z","submitted_at":"2023-10-05T01:42:16Z","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.03249."}