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Paper Citation Record · LEDGER

Dynamic Planning with a LLM

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2308.06391.

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

pith.paper-citation-record.v1
2308.06391 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:40:44.195906Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:59:38.194888Z

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 e28c6f58-8b11-41c3-a6ac-7fa9d98f866c · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Dynamic Planning with a LLM

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:00.849039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:288db49a5a35bffd40e5f7331c4ccc68796b217b44d13fa18d72204c415e16ad

Observation e105fe84-28c2-442f-96bb-81125e8eeb4f · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Dynamic Planning with a LLM

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:33:44.299965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T19:33:44.146134Z digest=sha256:93ddf99df3bf5968fe273b75dc09a9bf7b65fe886a490b46eef2b776b7b042fa

Observation c2275386-7165-4995-88b7-7f9449a098a7 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey Dynamic Planning with a LLM

Reference 260

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:51.161899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:56adf95b1acf6854c15d5f9507a4a5eaae6b735d510bf394904a038c8bb2c07d

Observation c6bc6dd5-02e3-4b5d-b43e-b416e85cc1a5 · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction Dynamic Planning with a LLM

Reference 128

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T14:25:59.375613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T14:25:58.876978Z digest=sha256:006c830bb01ae2da4035d05241e080c9de17aec04efd503a4d10c7e3ffbef3e5

Observation 040fde5b-90cf-463f-9425-c55890672ef4 · inbound

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

Understanding the planning of LLM agents: A survey Dynamic Planning with a LLM

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:12:57.668321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:8b2e69336b9f32e1dbd8a1561c92c66d732a58132698583dea76c13b4fe44331

Observation eef30407-c33b-4e50-b113-10ce5315187b · inbound

One STEP at a time: Language Agents are Stepwise Planners cites this paper.

One STEP at a time: Language Agents are Stepwise Planners Dynamic Planning with a LLM

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T21:40:44.195906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:40:44.195906Z digest=sha256:7550128923b6fee0c51000ce5dd54ad857c6db309b3678e227a73f15a5644ec4

Observation 64a6e52a-7cc7-46f9-828b-57169cd77538 · inbound

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents cites this paper.

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents Dynamic Planning with a LLM

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:01.526069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:01.526069Z digest=sha256:e2a297b7d1ca94b11fa0786064073ed0fcd3bc6ce9d07d3fc80abbef5a1d8e17

Observation 81542443-f02e-48b8-b3a8-1971ba7586b1 · inbound

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation cites this paper.

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation Dynamic Planning with a LLM

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T16:43:27.390785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:43:27.390785Z digest=sha256:0f251a6389b1a63d178e8aa788a573067565e0e2107becb51c2e4fb33f94e545

Observation 3cd775ea-7704-4d5d-9308-c991c77118a2 · inbound

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

Large Language Model-Brained GUI Agents: A Survey Dynamic Planning with a LLM

Reference 197

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:08:27.732177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:6aace7accff15c5b8ca121be0bc4b790b9db0d58edbbcc07d07be51a3a1517d2

Observation e12eb16a-bdad-4852-96d1-cbbd9ac4ce27 · inbound

Practical Considerations for Agentic LLM Systems cites this paper.

Practical Considerations for Agentic LLM Systems Dynamic Planning with a LLM

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:09.284573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:09.284573Z digest=sha256:215f8b97254b19cffc29c3b8a3a41a1f94cbdaadff02070c434134fb14dd9e6c

Observation c42af704-97c0-4984-8b82-528b18cd9458 · inbound

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs cites this paper.

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs Dynamic Planning with a LLM

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T20:11:48.516237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:11:48.516237Z digest=sha256:e608b99d9cfa267212529e85d3950ee4f09aad4683e1e65cdd50f35d2314efc8

Observation dc9dc6b2-79c5-4e34-afbf-ba3bb1a9cb79 · inbound

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

Large Language Models for Planning: A Comprehensive and Systematic Survey Dynamic Planning with a LLM

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:54.144893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:54.144893Z digest=sha256:0d638d1beea60d262dbecdee4cacfa82349a4f2f382b4fb601d79cee73036643

Observation f8693223-67f7-4ed2-a9f8-20c5bd0c4807 · inbound

Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning cites this paper.

Adaptive Domain Modeling with Language Models: A Multi-Agent Approach to Task Planning Dynamic Planning with a LLM

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:09:54.480410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:09:54.480410Z digest=sha256:c77c27138f7a6e148ed345d81e4cbf6a3abbad1f77f10017cfedd8d3089f447f

Observation cd3096f6-4d21-461d-a169-2194a52c2669 · inbound

Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning cites this paper.

Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning Dynamic Planning with a LLM

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T20:13:56.686872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:56.686872Z digest=sha256:4aaef284c2d2b8752d489ca66592d7479db13381f2fbccb12d58a0799791fa21

Observation 690831e7-d1e0-4357-a7b9-99f22b2b15e1 · inbound

How Far Are LLMs from Symbolic Planners? An NLP-Based Perspective cites this paper.

How Far Are LLMs from Symbolic Planners? An NLP-Based Perspective Dynamic Planning with a LLM

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:02.996380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:45:02.996380Z digest=sha256:ef2ac36dc43cd85c25fdfe8b7679c256b8843b0cab98dc2a63b1693a2fe64062

Observation 7bd05ce2-3b17-4f9b-9a3e-614efaae6f65 · inbound

Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks cites this paper.

Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks Dynamic Planning with a LLM

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T06:05:29.317854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:05:29.317854Z digest=sha256:3a7162796c1433dda40a7748d2033793d3f764d44091acbe14cb10eaa832a4f3

Observation 636eb9bd-1358-4a2c-bd6b-b377dacc7b41 · inbound

Re$^2$MoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware Refinement cites this paper.

Re$^2$MoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware Refinement Dynamic Planning with a LLM

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:11.595704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T05:42:58.700609Z digest=sha256:5ae6bcb08d56c5dcb3352cf0fdc5d85d384d2a2afe1b4d7067246a35156d12ff

Observation 49db95d3-13c6-45f0-aeae-f0815ee96e63 · inbound

Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents cites this paper.

Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents Dynamic Planning with a LLM

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:06:29.539404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T07:46:25.550238Z digest=sha256:3c6f79cb4d235b9ecd30dff2bb25069155263da27c6b608db484a477a3a2e2ef

Observation 86432e2f-8aa9-446e-ad08-9eede21e3d5f · inbound

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning cites this paper.

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning Dynamic Planning with a LLM

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:56:08.588894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T10:41:59.816073Z digest=sha256:3a0c8135ca8bc97e1ca3dc13d2be16cd459636c9484bdfd634bcb0fa96c45627

Observation fcbf250c-098d-4bc6-82b2-fe64fdffe08c · inbound

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents cites this paper.

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents Dynamic Planning with a LLM

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:59:38.196569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-26T13:56:51.914966Z digest=sha256:5eccbe584c27e1b06253a916dd8780e0c3da8da36145275442e31da4f593e3eb