Paper Citation Record · LEDGER

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2201.07207.

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

pith.paper-citation-record.v1
2201.07207 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:57:03.926771Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

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External citation measurements

161
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c2e5c8e6-988c-4233-b290-75adf4fae7a6 · inbound

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language cites this paper.

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:50:00.671693Z

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Observation 07fc98fa-3916-4da5-9392-3ba9f901d9e5 · inbound

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances cites this paper.

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:24:06.452790Z

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Observation 787648c3-5f41-4ee3-a0e9-b562a528184d · inbound

GPT-NeoX-20B: An Open-Source Autoregressive Language Model cites this paper.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:34:28.422331Z

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Observation 5781fad3-af56-4a80-803c-b2b0cd3cd49b · inbound

A Generalist Agent cites this paper.

A Generalist Agent Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:24:50.020498Z

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Observation aa49a1b3-ff9f-4203-b6fa-4d4740cdfb90 · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:38:38.351775Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eff558bb-0950-44d7-a97c-177ada500e1b · inbound

Code as Policies: Language Model Programs for Embodied Control cites this paper.

Code as Policies: Language Model Programs for Embodied Control Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:38:02.824648Z

Source-reported events for the cited work

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Observation 9b54040f-a3f3-422d-a3ed-a12de1376853 · inbound

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models cites this paper.

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:22:17.700357Z

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Observation 465eea57-a1cd-4133-bb2a-cc522c265d5d · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:40:53.854407Z

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Observation 2456a633-a6c3-48da-bac3-9207b1616379 · inbound

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models cites this paper.

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:54:59.118768Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ab6ae8f-db1a-4e24-b73b-2ebe41667118 · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-12T13:36:57.127277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5005c620-baf4-4186-93ae-a9745b3ad765 · inbound

MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation cites this paper.

MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 22

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Observation a5a96fb4-0278-490f-8549-e0be1f6f2542 · inbound

Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents cites this paper.

Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 7

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Observation 53869bab-d8ed-4ad7-b386-f87106dd9ba3 · inbound

Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things cites this paper.

Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 20

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Observation d956f7c5-b893-4ce8-937c-eb2d2cc05513 · inbound

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains cites this paper.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T05:48:45.914244Z

Source-reported events for the cited work

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Observation 81ccc663-293d-438d-afd6-f3be76756b96 · inbound

Pheromone-based Learning of Optimal Reasoning Paths cites this paper.

Pheromone-based Learning of Optimal Reasoning Paths Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 15

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Observation ec60c64d-4633-403f-a37e-fee3868b291b · inbound

MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems cites this paper.

MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 14

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Source-reported events for the cited work

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Observation 5bf45d6d-a55d-48c3-9818-6f660380f5ad · inbound

Learning Model Successors cites this paper.

Learning Model Successors Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T19:58:58.752493Z

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Observation 7dbb6ab1-e44d-4c9b-ad9d-f69ac5259261 · inbound

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning cites this paper.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 16

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Observation 7dd0974d-6b6b-4007-81c8-900fcb108520 · inbound

Autonomous Task Completion Based on Goal-directed Answer Set Programming cites this paper.

Autonomous Task Completion Based on Goal-directed Answer Set Programming Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 10

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Observation 265e7efe-4f92-47f2-adf9-19c6c8b0c445 · inbound

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

Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:35:32.419495Z

Source-reported events for the cited work

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Observation 34251197-bd0b-4a06-b84f-34d70b086294 · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 32

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Observation e5012d17-4c79-439e-902d-1f3c5defdb41 · inbound

Self-Challenging Language Model Agents cites this paper.

Self-Challenging Language Model Agents Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 12

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Observation e4684d1b-ae3d-4eea-adfa-6af9104d73fb · inbound

Kinetics: Rethinking Test-Time Scaling Laws cites this paper.

Kinetics: Rethinking Test-Time Scaling Laws Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 25

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Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization cites this paper.

Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 2022

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Observation bb520c69-07b1-4a46-8c53-7fd929434c31 · inbound

Leveraging LLMs for Mission Planning in Precision Agriculture cites this paper.

Leveraging LLMs for Mission Planning in Precision Agriculture Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 12

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Observation e965f1e2-a608-4b0f-a104-fcd1056f9942 · inbound

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture cites this paper.

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 9

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Observation 7a7ad816-a8a1-4b66-bb6a-03383c61bc35 · inbound

GenPlanX. Generation of Plans and Execution cites this paper.

GenPlanX. Generation of Plans and Execution Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 19

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Observation 4069f783-00a8-4afc-9d66-311805bafc16 · inbound

FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing cites this paper.

FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:17:10.784682Z

Source-reported events for the cited work

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Observation 33cbeec3-0acd-465e-9987-6b19a751d575 · inbound

Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution cites this paper.

Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T18:58:12.692269Z

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Observation c78f2ab9-cb8a-4099-ac36-ced176821473 · inbound

Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control cites this paper.

Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:06:43.013300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42b456f4-60e6-4b69-be07-99cb2b2ef2f7 · inbound

SG-CoT: An Ambiguity-Aware Robotic Planning Framework using Scene Graph Representations cites this paper.

SG-CoT: An Ambiguity-Aware Robotic Planning Framework using Scene Graph Representations Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T17:57:56.561758Z

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Observation 789db59b-2829-40de-90b5-d7fed8b4e5e8 · inbound

LoopTrap: Termination Poisoning Attacks on LLM Agents cites this paper.

LoopTrap: Termination Poisoning Attacks on LLM Agents Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:21:10.526248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 098aab09-7abe-496e-8c44-8293ce64767d · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:15:05.898928Z

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Observation bb0bd0ca-4bba-4e6d-b425-da98c606ca84 · inbound

MORN: Metacognitive Object-Goal Regulation for Resource-Rational Long-Horizon Navigation cites this paper.

MORN: Metacognitive Object-Goal Regulation for Resource-Rational Long-Horizon Navigation Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:27:49.275613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 091c5c4d-59ad-47ea-9742-d6d5d397461b · inbound

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning cites this paper.

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:23:25.293476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef4142bf-d1ea-40c6-aa22-87b65a038213 · inbound

Tree of Thoughts as a Classical Heuristic Search Problem: Formal Foundations and Design Patterns cites this paper.

Tree of Thoughts as a Classical Heuristic Search Problem: Formal Foundations and Design Patterns Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 2

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Source-reported events for the cited work

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Observation 9b39604e-50c5-41e6-a0b1-70a060e42626 · inbound

Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning cites this paper.

Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:56:55.218592Z

Source-reported events for the cited work

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Observation 7c6f6517-8bd4-41a5-865a-59f471cf9026 · inbound

As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture cites this paper.

As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:49:00.107666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 596194d8-4ec0-432d-bfe9-223bc3b02b6e · inbound

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement cites this paper.

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:59:43.508391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6a89ac7-83fc-4718-83c9-7ceae29b0704 · 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 Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:23:54.328434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aae544c3-1c2d-48f0-a410-fe4ef8581162 · 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 Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:49:01.064410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1992fa43-40ec-486b-99ea-430185700405 · inbound

Path Planning in Physically Viable World Models cites this paper.

Path Planning in Physically Viable World Models Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:36:54.772025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation abc2a541-cee5-4a4d-a71c-2fbac03474be · inbound

APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts cites this paper.

APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-10T13:37:06.820502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9aeecd9a-5d5e-4b04-8a13-b25d1f4ce5f8 · 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 Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:34.070396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.