Paper Citation Record · LEDGER

A Survey on Large Language Models for Automated Planning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2502.12435.

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

pith.paper-citation-record.v1
2502.12435 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:50.431143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:27:17.786806Z

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 37d070f3-4ee4-4a64-808a-8fd19378bbc5 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey A Survey on Large Language Models for Automated Planning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:08:28.022704Z

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 15c7fa85-f5f5-40c1-99a3-1d41f33e2c99 · inbound

AutoSpatial: Visual-Language Reasoning for Social Robot Navigation through Efficient Spatial Reasoning Learning cites this paper.

AutoSpatial: Visual-Language Reasoning for Social Robot Navigation through Efficient Spatial Reasoning Learning A Survey on Large Language Models for Automated Planning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:27:17.789137Z

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 ce3b20fa-0908-4317-9e11-7544a4debcaf · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey A Survey on Large Language Models for Automated Planning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:50.431143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc62b8c-a7c8-4040-81e8-e96eebac7a30 · inbound

TextAtari: 100K Frames Game Playing with Language Agents cites this paper.

TextAtari: 100K Frames Game Playing with Language Agents A Survey on Large Language Models for Automated Planning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:57.852875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d74b9ce-e1ab-4af9-8b52-ac2f040d309c · inbound

Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data cites this paper.

Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data A Survey on Large Language Models for Automated Planning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:02.691246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61f19d30-9679-4a4c-af63-f6bf2ca2a0e5 · inbound

SHERPA: A Model-Driven Framework for Large Language Model Execution cites this paper.

SHERPA: A Model-Driven Framework for Large Language Model Execution A Survey on Large Language Models for Automated Planning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T13:51:32.914574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d0b7cd-e653-4be5-99a4-bd2927d015d1 · inbound

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles cites this paper.

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles A Survey on Large Language Models for Automated Planning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:36:30.324137Z

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 9f0e6d35-c50c-4e7f-822d-9cb4e6030d8d · inbound

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles cites this paper.

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles A Survey on Large Language Models for Automated Planning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:36:24.209392Z

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 99f3fa20-5457-4054-a13a-3bc8c71d2708 · inbound

RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models cites this paper.

RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models A Survey on Large Language Models for Automated Planning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T04:53:05.028904Z

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 72026a99-1a0f-46fd-aac0-5fdd7d99a437 · inbound

AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents cites this paper.

AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents A Survey on Large Language Models for Automated Planning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T14:28:54.418288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.