Paper Citation Record · LEDGER

Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.03249.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.03249 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:46.594060Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T14:47:36.123420Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7a64bd95-3f08-498d-a2d6-430e667fa746 · inbound

Application of LLMs to Multi-Robot Path Planning and Task Allocation cites this paper.

Application of LLMs to Multi-Robot Path Planning and Task Allocation Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:17.818646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f6edbf4-224d-4902-ae90-0d0f32c2d5d7 · inbound

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning cites this paper.

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:09.535109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22597bd-79f8-4566-8333-8d41d4303dd3 · inbound

MazeEval: A Benchmark for Testing Sequential Decision-Making in Language Models cites this paper.

MazeEval: A Benchmark for Testing Sequential Decision-Making in Language Models Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T13:40:01.114830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be7e3e28-c82c-4e64-b41c-639f87b48d9f · inbound

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning cites this paper.

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:25.488270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22f21b16-b120-4ee8-8e3d-4cd72352ceaf · inbound

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning cites this paper.

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T03:52:12.581082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a234283a-aa14-4395-9373-5179562d13e7 · inbound

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning cites this paper.

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:47:36.125832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 04c334d9-537f-4d33-8cfc-e43e73c0d97b · inbound

OmniRouting: A Semantic-Coupled Multimodal Benchmark for Constraint-Aware Spatial Reasoning in PCB Routing cites this paper.

OmniRouting: A Semantic-Coupled Multimodal Benchmark for Constraint-Aware Spatial Reasoning in PCB Routing Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:46.594060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.