Paper Citation Record · LEDGER

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2212.04088.

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

pith.paper-citation-record.v1
2212.04088 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:57.785247Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5095c38e-0350-4cca-9b04-ef83f9fd95a0 · inbound

Mind2Web: Towards a Generalist Agent for the Web cites this paper.

Mind2Web: Towards a Generalist Agent for the Web LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:05:16.162458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc469397-ebed-4a85-925f-f800ae5c1de9 · inbound

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models cites this paper.

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-13T08:57:22.524669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ffa4d2a7-64f3-44f7-a776-18cf0b577632 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 243

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.094465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd619400-f4b2-42e6-8d9d-aced569e4b1d · 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 LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:47:51.070888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 28fd0481-a0eb-401b-9fd8-ab758bc5dda7 · inbound

GPT-Driver: Learning to Drive with GPT cites this paper.

GPT-Driver: Learning to Drive with GPT LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:05:31.990057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1aa1f574-a83d-464d-a69e-bb76b7f42c34 · inbound

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success cites this paper.

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:35:32.824770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d1614318-7ab2-4fb8-ac13-24ec2269700c · inbound

CoDec: Prefix-Shared Decoding Kernel for LLMs cites this paper.

CoDec: Prefix-Shared Decoding Kernel for LLMs LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:57.785247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b11bbddd-215b-449a-951e-b61d403315af · inbound

Enhance Multimodal Consistency and Coherence for Text-Image Plan Generation cites this paper.

Enhance Multimodal Consistency and Coherence for Text-Image Plan Generation LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T04:14:28.908967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e829214c-6955-4ef7-a539-c8a444a7be2b · inbound

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning cites this paper.

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T09:33:40.714342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0636d6ee-ee7c-4d80-a8de-88e48fcbd883 · inbound

EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems cites this paper.

EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent Systems LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:06.954941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c826faf-dd44-4f17-9951-296b6d8a8a42 · inbound

PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution cites this paper.

PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-01T20:28:23.965044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707b379c-65e8-4a20-a3c1-9ebda676227e · inbound

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control cites this paper.

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T16:35:13.351713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8271b6b-11d7-4a2c-a6be-02c97256f18e · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:05.229358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392717c3-9d6d-4984-b7b1-7939cc74d2ac · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 237

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.242872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.