Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.13184.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:50.329277Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:01:00.187242Z
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 2fbcaf7e-6f1a-47e4-9e5f-93592771e97a · inbound
From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark cites this paper.
From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:50:50.329277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64794f33-26bd-4c18-b185-fe3757aa6a0d · inbound
Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.
Large Language Models for Planning: A Comprehensive and Systematic Survey Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:11:54.769397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2fa4a73-9e0f-49f1-be7e-6682356e9cd5 · inbound
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:18:51.833443Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b4facb9-f839-4609-8606-98b80153accf · inbound
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:45:59.753762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cc571f74-fbc8-47aa-a68c-58bf21fa47b3 · inbound
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:01:00.191542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.