Paper Citation Record · LEDGER

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream

As of 18 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2510.00182.

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

pith.paper-citation-record.v1
2510.00182 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:30:30.293364Z

measured 36 of 36 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9f0addb-432f-4ed4-8bf2-3d49291968bf · outbound

This paper cites PDDLStream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream PDDLStream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.042285Z

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Observation aeedb8ff-742a-4d65-8fba-c7ac41861bf1 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.146598Z

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Observation 049cb2c2-41f8-4613-b0e8-563d80248853 · outbound

This paper cites Bilevel planning for robots: An illustrated introduction,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Bilevel planning for robots: An illustrated introduction,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.217532Z

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Observation 85d74f58-f081-4a4c-9136-a0f7785ee765 · outbound

This paper cites Between MDPs and semi- MDPs: A framework for temporal abstraction in reinforcement learning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Between MDPs and semi- MDPs: A framework for temporal abstraction in reinforcement learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.285519Z

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Observation cedc8472-fed9-403b-aa6a-43c1abab73d1 · outbound

This paper cites Hierarchical reinforcement learning with the MAXQ value function decomposition,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Hierarchical reinforcement learning with the MAXQ value function decomposition,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.384658Z

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Observation d74318f1-1af4-4c42-99cf-be60f9284297 · outbound

This paper cites Feudal reinforcement learning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Feudal reinforcement learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.473288Z

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Observation b02bd415-5db4-41fd-b1bb-4f1c416fe1c9 · outbound

This paper cites Hierarchical reinforcement learning: A comprehensive survey,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Hierarchical reinforcement learning: A comprehensive survey,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.565523Z

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Observation e4e48828-0ae6-4a2e-9f8d-87186065ca82 · outbound

This paper cites A structure for plans and behavior,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream A structure for plans and behavior,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.618473Z

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Observation 8859cf17-62db-461b-b730-3be449d8beb3 · outbound

This paper cites SHOP: Simple hierarchical ordered planner,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream SHOP: Simple hierarchical ordered planner,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.677308Z

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Observation c2023417-0037-430a-bb55-d4fb2075253b · outbound

This paper cites Integrated task and motion planning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Integrated task and motion planning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.732260Z

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Observation 0367e9d7-ca0b-457d-983d-72e9946e0977 · outbound

This paper cites Incremental task and motion planning: A constraint-based approach,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Incremental task and motion planning: A constraint-based approach,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.862113Z

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Observation 909070be-91bc-450f-82e1-230aa214544d · outbound

This paper cites Task-motion planning with reinforcement learning for adaptable mobile service robots,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Task-motion planning with reinforcement learning for adaptable mobile service robots,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:27.932157Z

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Observation bb93d54e-7b3d-485c-b4be-bb91cf7a9388 · outbound

This paper cites Online replanning in belief space for partially observable task and motion problems,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Online replanning in belief space for partially observable task and motion problems,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.035832Z

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Observation 318a08bd-8f1c-413f-9457-5c7b9ae6f2fa · outbound

This paper cites Differentiable GPU-parallelized task and motion planning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Differentiable GPU-parallelized task and motion planning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.151287Z

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Observation b09b7c6e-b446-4ca5-8850-2da7fe6ffadd · outbound

This paper cites Learning symbolic operators for task and motion planning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Learning symbolic operators for task and motion planning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.206895Z

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Observation c1dc19f8-6db0-4720-a2d2-e20bf9f804cb · outbound

This paper cites Learning neuro-symbolic skills for bilevel planning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Learning neuro-symbolic skills for bilevel planning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.350699Z

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Observation bc3fda2a-20c8-4bb2-98b3-cbe6de1aa89e · outbound

This paper cites Learning efficient abstract planning models that choose what to predict,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Learning efficient abstract planning models that choose what to predict,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.482995Z

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Observation bdfbea7e-8ce0-43ac-ab56-4c0b57ed2124 · outbound

This paper cites Practice makes perfect: Planning to learn skill parameter policies,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Practice makes perfect: Planning to learn skill parameter policies,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.568030Z

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Observation 730cc0c4-0a56-49ea-bbc4-41e2c859481b · outbound

This paper cites Task and Skill Planning: Hierarchical Robot Planning with Black-Box Skills.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Task and Skill Planning: Hierarchical Robot Planning with Black-Box Skills

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.673880Z

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Observation 756b8610-9a16-4860-bab1-a4fb9198b507 · outbound

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

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.768101Z

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Observation c3e57e90-b6ad-44c4-86ff-09fce502a3f1 · outbound

This paper cites Open-vocabulary queryable scene representations for real world planning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Open-vocabulary queryable scene representations for real world planning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.851439Z

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Observation 17563b96-3dab-46b9-a52f-a78eaaa6b10d · outbound

This paper cites PaLM-e: An embodied multimodal language model,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream PaLM-e: An embodied multimodal language model,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:28.995887Z

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Observation 6fed43e7-171c-4653-83b6-24924e3dbcb8 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.109251Z

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Observation 749d994e-091e-43b7-a014-931de85bcd2e · outbound

This paper cites Trust the PRoC3S: Solving long-horizon robotics problems with LLMs and constraint satisfaction,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Trust the PRoC3S: Solving long-horizon robotics problems with LLMs and constraint satisfaction,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.260759Z

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Observation dcebe7d2-3187-4d7b-becc-24dbec666fd9 · outbound

This paper cites Meta-optimization and program search using language models for task and motion planning,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Meta-optimization and program search using language models for task and motion planning,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.371659Z

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Observation 009533a7-f80b-4e22-81be-c4e2dd986977 · outbound

This paper cites LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.535979Z

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Observation 30a927de-258b-4afa-a9b5-3211b0d3ba9f · outbound

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

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.611355Z

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Observation 30c4ac6e-2a3b-4a75-985f-69eb3c0d96df · outbound

This paper cites From pixels to predicates: Learning symbolic world models via pretrained vision-language models,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream From pixels to predicates: Learning symbolic world models via pretrained vision-language models,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.672636Z

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Observation 3583746c-ece8-4f31-ac73-c4fd934bc09f · outbound

This paper cites Learning transferable visual models from natural language supervision,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Learning transferable visual models from natural language supervision,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.750844Z

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Observation 87e83a60-7549-48d6-881c-3a613dea772d · outbound

This paper cites Segment anything,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Segment anything,

Reference 30

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Observation 8724e9f2-2a77-4f5c-8d45-1e6756b16d88 · outbound

This paper cites SAM 2: Segment anything in images and videos,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream SAM 2: Segment anything in images and videos,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.944433Z

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Observation cc9ccea6-e041-4116-b93b-efe4a4683903 · outbound

This paper cites DINO: DETR with improved denoising anchor boxes for end-to-end object detection,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream DINO: DETR with improved denoising anchor boxes for end-to-end object detection,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.993387Z

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Observation 181b636c-1c36-4cda-8683-c1750fb594b8 · outbound

This paper cites DINOv2: Learning robust visual features without supervision,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream DINOv2: Learning robust visual features without supervision,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:30.078493Z

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Observation 6f9bad38-bb9c-429e-af00-d1f2ad2f90be · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:30.140943Z

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Observation caafefa5-b5e7-4b51-895c-510517a196cd · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:30.202233Z

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Observation 52aae57e-e940-4ed8-a289-3af33ad52002 · outbound

This paper cites A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:30.293364Z

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Pith citing papers

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