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Paper Citation Record · LEDGER

Translating Natural Language to Planning Goals with Large-Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:11.079407Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T18:36:18.342052Z digest=sha256:c397fd608be5281fbdd40b116d4c12875bec2c3848d741844627ed5e621fece8

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T08:57:22.299028Z digest=sha256:28a4562907aa7efeb02f5ab1f5c47fdc2481b7b10fce774b0d39d25205c088b2

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

Resolution
unresolved
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:c4f301c7d21c7c919edff6c5a890f16b617f4b82562d6e7655b80171254ef067

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

Resolution
unresolved
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:bad7d39f7a277bd0ef0ce664f177d34b75a55e2d6e087ff2e21ae327dc6dfc44

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

Resolution
unresolved
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=sha256:489a08022d473fc0684d5b73f172c1d4f3cfcdef003bc23ad59780bb1d6ad68e

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

Resolution
unresolved
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=sha256:0beeb7a35a50adffb99ddf70dd59ed76a5fdf8260d720d0ef93f11ddda934ab2

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

Resolution
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:c2a1106737478ae17bf436c06bf7c709512ddfdf5f8a38a33bd097b0c894c6e9

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

Resolution
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=sha256:348111786de8eb3d82d4d4e96750c70c2759c8c855975c1b558294f8fe250aa2

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T06:38:24.695002Z digest=sha256:b8893d522d634835a6df2b84fe6dbf16e2b4c193d5bfd40b99424d603481e138

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T04:40:52.854907Z digest=sha256:7e8d7ac6afd8155694bfe1e52a352658171ab72b4ebd76899c9773b493d85605

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T07:46:25.550238Z digest=sha256:848a9e978630d78993520d3a15a18c9120c662ecec2254a81b1326fabeb1e333

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T05:51:45.499422Z digest=sha256:e4e4b0eef42dbb3d1546193b1046c6781dac52fe350e465adc45638c21616fa4

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T08:07:20.134045Z digest=sha256:c3e35cf1a12538e177fa2bc4488484277d2e301a21ee7067d2be70d222bdf7a4

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T10:41:59.816073Z digest=sha256:e205eeba0db95b51de294d0eec5215438e662e19c5172b825bb27e8d0e7b6806

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:13:33.691562Z digest=sha256:39763211defe50c20f91517247a617f24b615fddac242d59490a555c9cd8b454

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-11T00:18:08.485089Z digest=sha256:b72b9ade855c338ac13818f8bf6e63acd73cc2652fc0059df955b414c170928a

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

Resolution
unresolved
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=sha256:4216d95836cae96e01aac5eb65f1c883ece513a9a09d57cd3263b788745b87b8