Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.03630.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:16.605756Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:40:06.794823Z
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 4c9c7493-92ca-46a7-a856-c018b9fed8ab · inbound
Large Language Models for Multi-Robot Systems: A Survey cites this paper.
Large Language Models for Multi-Robot Systems: A Survey Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:32.050371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8f72e3f5-ef28-4dca-985c-ba1c71128c81 · inbound
Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding cites this paper.
Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:20:16.605756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21501b60-e945-48d3-a904-8547ebe356a6 · inbound
HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning cites this paper.
HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T19:40:06.796323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.