Paper Citation Record · LEDGER

Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.14909.

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

pith.paper-citation-record.v1
2305.14909 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:46:44.986471Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:49:01.033282Z

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 1c505bae-6d12-4ed9-b6e8-433d921c858c · inbound

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:36:18.485861Z

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 a81591ca-d1fb-4c88-a772-21fbf6585169 · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.345947Z

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 3c91e336-c045-4bdc-9148-47e34d00fe8f · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:12:57.676862Z

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 fb6f9b55-badf-4789-8334-9ce7ec8f17f8 · inbound

Robotouille: An Asynchronous Planning Benchmark for LLM Agents cites this paper.

Robotouille: An Asynchronous Planning Benchmark for LLM Agents Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T00:46:44.986471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4193a2af-f715-461e-90b6-acde12148f10 · inbound

Implicit Language Models are RNNs: Balancing Parallelization and Expressivity cites this paper.

Implicit Language Models are RNNs: Balancing Parallelization and Expressivity Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

Reference 2022

Resolution: malformed identifier; no resolver link, observed 2026-08-08T14:11:11.412796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b4eed8-c37a-430f-9529-b869a41d14fa · inbound

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation cites this paper.

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:31:24.738448Z

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 599e8cc0-c24b-4331-a2a6-6b81ffd765de · inbound

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents cites this paper.

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:23:54.370871Z

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 82b68e5a-86e8-4fea-bc85-f8375a87086a · inbound

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents cites this paper.

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:49:01.036430Z

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.