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Paper Citation Record · LEDGER

Translating Natural Language to Planning Goals with Large-Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2302.05128.

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

pith.paper-citation-record.v1
2302.05128 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:06:00.175968Z

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

0 of 0 outbound references displayed

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External citation measurements

46
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 019aaa6b-da16-41fa-adee-4cd1bc55c8f8 · inbound

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

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Translating Natural Language to Planning Goals with Large-Language Models

Reference 54

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verified exact
arxiv_id, observed 2026-05-14T18:36:18.513710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T18:36:18.342052Z digest=sha256:edd31bac063b5988eedb3b0829b2ae86989a88865eee11920b0d111bb55e5c60

Observation 64b674f6-fcbe-4843-a231-0c03c44f36b4 · 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 Translating Natural Language to Planning Goals with Large-Language Models

Reference 70

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arxiv_id, observed 2026-05-13T08:57:22.547898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T08:57:22.299028Z digest=sha256:1e441ebe27234850132a8fe0a6b3ab39f5ea071b981615a6819edbd48b47e7de

Observation a2aef2ea-1d5c-473a-a101-ae36fc5699cf · inbound

SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models cites this paper.

SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models Translating Natural Language to Planning Goals with Large-Language Models

Reference 16

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no resolver link, observed 2026-08-12T18:42:53.047504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:42:53.047504Z digest=sha256:fddfc46fbccb66218b72d1c105879af26cb13613237a1363e41e19a37456ed2d

Observation 44ce1a1e-0506-4b49-a729-18f455b3244e · inbound

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks cites this paper.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Translating Natural Language to Planning Goals with Large-Language Models

Reference 51

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no resolver link, observed 2026-08-12T12:28:14.468784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:28:14.468784Z digest=sha256:9f1a71cfd3ced78bd99ad8b717eddcb868012b2ff034034c20e3534f19802eb7

Observation 886bbc1d-2393-4028-abff-ef7cf0781eaf · inbound

On the Limit of Language Models as Planning Formalizers cites this paper.

On the Limit of Language Models as Planning Formalizers Translating Natural Language to Planning Goals with Large-Language Models

Reference 31

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no resolver link, observed 2026-08-11T16:41:11.252443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:41:11.252443Z digest=sha256:35c50579dfc843dde8de7181cee3c65c0e020ca7393e79fe37ff3951bd57625c

Observation 9b6ba767-d91d-4184-8d7e-141ded97498e · inbound

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches Translating Natural Language to Planning Goals with Large-Language Models

Reference 291

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no resolver link, observed 2026-08-10T21:56:13.191961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:13.191961Z digest=sha256:87856a2892d279a9262fbb0e2afc222c964f9b8e4310e9e1b77f697ef35fb63b

Observation ba918924-7d35-4830-a8b8-26ae4cf10470 · inbound

I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution cites this paper.

I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution Translating Natural Language to Planning Goals with Large-Language Models

Reference 15

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no resolver link, observed 2026-08-10T20:34:17.140554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:34:17.140554Z digest=sha256:84c09bcbd92567ef3f322d77ade21689d9b078f041828f3803b3dfbe418b0903

Observation 7848c148-6f11-41fc-b5fd-1d2c1e10780e · 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 Translating Natural Language to Planning Goals with Large-Language Models

Reference 44

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no resolver link, observed 2026-08-10T20:11:48.642282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:11:48.642282Z digest=sha256:9735241b6a0141f4c1286c4abb667f4246f5a9580d81297292db1a43f0c7859d

Observation b4329a38-a98a-4794-bac9-b97886dcf609 · inbound

InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language Models cites this paper.

InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language Models Translating Natural Language to Planning Goals with Large-Language Models

Reference 76

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no resolver link, observed 2026-08-10T17:27:18.533727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:27:18.533727Z digest=sha256:ddf76df60519ad097039deed195954ceb7c79df673dec3db60f1851da83c7ba3

Observation 0225e0d7-4188-4302-aeb4-9c4c9446530c · inbound

Helping Blind People Grasp: Enhancing a Tactile Bracelet with an Automated Hand Navigation System cites this paper.

Helping Blind People Grasp: Enhancing a Tactile Bracelet with an Automated Hand Navigation System Translating Natural Language to Planning Goals with Large-Language Models

Reference 54

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no resolver link, observed 2026-08-16T11:06:00.175968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:06:00.175968Z digest=sha256:055ea18413936efcbf675a0ae429fe1f9b27c809ac03149d5180022c832cb4a8

Observation 9d270ccf-be40-499d-aad3-427be0fb6044 · inbound

MuTRAP: Multi-trigger Trojans Attacking Robot Task Planning Systems cites this paper.

MuTRAP: Multi-trigger Trojans Attacking Robot Task Planning Systems Translating Natural Language to Planning Goals with Large-Language Models

Reference 31

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no resolver link, observed 2026-08-16T10:55:33.377021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:55:33.377021Z digest=sha256:491074bcac90ae43124d98eeff42548bd6c030ddd17c4dedb17894549538b2e4

Observation 5cd36f06-0c27-468f-84f1-83d710559e0e · inbound

AndroidGen: Building an Android Language Agent under Data Scarcity cites this paper.

AndroidGen: Building an Android Language Agent under Data Scarcity Translating Natural Language to Planning Goals with Large-Language Models

Reference 41

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no resolver link, observed 2026-08-16T06:01:29.382893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T06:01:29.382893Z digest=sha256:8b7fdd9c9b3515e337ae96d23b22a9a8aef345916694bc542e56774103315602

Observation 3f469d24-df78-40d3-adbe-d0ede8c3bef1 · inbound

Cognitive maps are generative programs cites this paper.

Cognitive maps are generative programs Translating Natural Language to Planning Goals with Large-Language Models

Reference 46

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no resolver link, observed 2026-08-16T05:29:44.420241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:29:44.420241Z digest=sha256:6b816a501743fb9eddc47685365e531a953b44f2e86399458416667d6412e340

Observation 28bd783f-a39a-457a-9aab-6ecc84c6603d · inbound

Model-Based AI planning and Execution Systems for Robotics cites this paper.

Model-Based AI planning and Execution Systems for Robotics Translating Natural Language to Planning Goals with Large-Language Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T23:30:56.928602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:30:56.928602Z digest=sha256:83b4d7381e0a6624075bb017abd3aa73b8dbe91cfae0ee79c1997170cd2db8de

Observation 9f10c6c6-bf12-4df6-b692-6afbe08173e4 · inbound

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents cites this paper.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Translating Natural Language to Planning Goals with Large-Language Models

Reference 19

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no resolver link, observed 2026-08-15T20:28:15.541257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.541257Z digest=sha256:92cc02c113be2af9a367cb2c550493536406aaa17b7c0e149a6588a188ca0c94

Observation ab18767c-bb46-4e69-9b21-eedb56014055 · inbound

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

Large Language Models for Planning: A Comprehensive and Systematic Survey Translating Natural Language to Planning Goals with Large-Language Models

Reference 298

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no resolver link, observed 2026-08-07T14:12:11.079407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:11.079407Z digest=sha256:cc781611e644b37df705c2458a80fc7241dad09cef4096e66911203028ca0871

Observation 938f0050-07f9-4879-a65c-466d3dafff47 · inbound

Learning Compositional Behaviors from Demonstration and Language cites this paper.

Learning Compositional Behaviors from Demonstration and Language Translating Natural Language to Planning Goals with Large-Language Models

Reference 43

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no resolver link, observed 2026-08-07T13:23:44.130013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:44.130013Z digest=sha256:80c19a61617e07c76c7bd9448d2fe87336d5879d0211f33b2ed880e39fafbe3e

Observation ff373c79-1789-4d9b-a49d-ba28ee60cae4 · inbound

Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search cites this paper.

Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search Translating Natural Language to Planning Goals with Large-Language Models

Reference 16

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no resolver link, observed 2026-08-07T05:48:02.070869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:48:02.070869Z digest=sha256:11f5f6cde13687031d8230914f8cd06593f825c768069b98812336e6689d24d0

Observation 85488974-2793-4453-8ba4-748ced7ce7e7 · inbound

Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs cites this paper.

Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs Translating Natural Language to Planning Goals with Large-Language Models

Reference 29

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no resolver link, observed 2026-08-07T05:37:20.943860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:37:20.943860Z digest=sha256:705792d41d54248e23736e3517c2c264df7981360ce4ab5a64d15c8b495f15d0

Observation 68375b37-2d0e-4d38-8444-429b288b2c21 · inbound

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly cites this paper.

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly Translating Natural Language to Planning Goals with Large-Language Models

Reference 40

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unresolved
no resolver link, observed 2026-08-15T19:24:53.717834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:24:53.717834Z digest=sha256:d94120e8e8a27b488c6169e881a67faa6e0b0a4dcf981b527fdde79a093c7207

Observation 5951fa15-31fd-4c02-90f8-162ba0d19f3e · inbound

Hallucination Detection with Small Language Models cites this paper.

Hallucination Detection with Small Language Models Translating Natural Language to Planning Goals with Large-Language Models

Reference 9

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unresolved
no resolver link, observed 2026-08-06T23:11:41.552461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:41.552461Z digest=sha256:a6b1df10f517385a884bdc65f0a6245f74cffa2e854bdac10969896e67646d45

Observation b5c5bbdc-c91c-49eb-85c4-5107b06246cc · inbound

FlashDP: Private Training Large Language Models with Efficient DP-SGD cites this paper.

FlashDP: Private Training Large Language Models with Efficient DP-SGD Translating Natural Language to Planning Goals with Large-Language Models

Reference 50

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unresolved
no resolver link, observed 2026-08-06T21:06:03.498848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:06:03.498848Z digest=sha256:9020dadb08037997253defcd16b30e4cc56205dd7756f92209d1b8e93cf9ace4

Observation 933bc348-4626-4f66-a8a5-dc07dad75158 · inbound

Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming cites this paper.

Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming Translating Natural Language to Planning Goals with Large-Language Models

Reference 55

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verified exact
arxiv_id, observed 2026-05-18T06:41:00.591994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T06:38:24.695002Z digest=sha256:46364c1d36a9d87366300244fa090adbefb8b8ec84206c53ab50d1192af9e0ec

Observation 26fb97c7-8e95-42ab-8e21-7085752721e9 · inbound

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards cites this paper.

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards Translating Natural Language to Planning Goals with Large-Language Models

Reference 28

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verified exact
arxiv_id, observed 2026-05-10T04:45:21.126417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T04:40:52.854907Z digest=sha256:93c2935ca8af8ef0fb580c75d25d624b247fe5314b1076256093cdc932275b5d

Observation 5b064017-fbce-44f2-bf53-f222fb804705 · 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 Translating Natural Language to Planning Goals with Large-Language Models

Reference 48

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arxiv_id, observed 2026-05-12T10:06:29.516440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T07:46:25.550238Z digest=sha256:2dbf9202b821308a0381ef4747c5c6bdcf5d0eb710cbf0a54759d0a63cb57d49

Observation c2a8d357-96c4-44de-9012-e0515987b84a · inbound

LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning cites this paper.

LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning Translating Natural Language to Planning Goals with Large-Language Models

Reference 5

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arxiv_id, observed 2026-05-12T10:31:29.234597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T05:51:45.499422Z digest=sha256:0f38f8a9c93652aa6e4782d699f62aee711d5660c0d6da5084f99f890c0283a6

Observation 09c01ae3-a6e7-41b5-860e-70489946a336 · inbound

LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning cites this paper.

LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning Translating Natural Language to Planning Goals with Large-Language Models

Reference 5

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verified exact
arxiv_id, observed 2026-07-01T08:15:31.894764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T08:07:20.134045Z digest=sha256:9217034b318bcd391a0c2fe1fa899bdc5ceb1a86e8a234177cdd4891b376f8fa

Observation 820a0ff9-8e7b-42d1-8fe6-de0188f91d8b · 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 Translating Natural Language to Planning Goals with Large-Language Models

Reference 30

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verified exact
arxiv_id, observed 2026-05-11T19:56:08.613713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T10:41:59.816073Z digest=sha256:129c4827915573ebf9b6b2946222c6b4908c0967d64762c0f312e9d87dec4a68

Observation 187699cc-5020-4e1d-ba8f-e2c2e52b789b · inbound

MiCU: End-to-End Smart Home Command Understanding with Large Language Model cites this paper.

MiCU: End-to-End Smart Home Command Understanding with Large Language Model Translating Natural Language to Planning Goals with Large-Language Models

Reference 29

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verified exact
arxiv_id, observed 2026-07-01T21:16:14.831346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T17:13:33.691562Z digest=sha256:24b1fc11fc2e5b171dbfc7e07723be6c6d47288906a79d0d2dabe0f1232ffb38

Observation a6533ae3-05d8-4f94-bae6-8b9ab01e9506 · inbound

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning cites this paper.

Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning Translating Natural Language to Planning Goals with Large-Language Models

Reference 69

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local_arxiv, observed 2026-07-11T00:27:51.839331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:0a400ecea523ba1041622d5ec417d77562e4a6b2e4f38dab1d8be7ea5a1e3736

Observation a62fb0c3-7e22-42c6-87cc-2525a140da0f · inbound

Decompose and Reorganize: Planning with Primitives and Visuomotor Policies Learned from Demonstrations cites this paper.

Decompose and Reorganize: Planning with Primitives and Visuomotor Policies Learned from Demonstrations Translating Natural Language to Planning Goals with Large-Language Models

Reference 82

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no resolver link, observed 2026-08-01T02:37:40.517728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:37:40.517728Z digest=sha256:ecfbff48aeb133c1ea3332f0b655290460c3257f55ee945d2e0ad2965318c009