Paper Citation Record · LEDGER

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2602.01662.

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

pith.paper-citation-record.v1
2602.01662 v4

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:38:51.039992Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:26:21.870837Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy0
unresolved44
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f667d402-d8a5-4af2-940e-d0bce5205206 · outbound

This paper cites GPT-4 Technical Report.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:47.597702Z

Source-reported events for the cited work

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Observation 42da45ed-2c50-4eec-ab42-e9e86dcab8c4 · outbound

This paper cites Spatialrgpt: Grounded spatial reasoning in vision- language models.Advances in Neural Information Pro- cessing Systems, 37:135062–135093, 2024.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Spatialrgpt: Grounded spatial reasoning in vision- language models.Advances in Neural Information Pro- cessing Systems, 37:135062–135093, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:47.712921Z

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Observation 53337fc5-e3d7-4525-bbde-5a132cb8dad7 · outbound

This paper cites Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:47.862434Z

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Observation 99943020-aab7-47f3-b62b-a3186c4b0d8d · outbound

This paper cites LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:47.965402Z

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Observation 45a570cc-5e51-4b92-8a21-129dee20667c · outbound

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

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.034001Z

Source-reported events for the cited work

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Observation aef4fe6e-e708-439a-9981-e30320804c57 · outbound

This paper cites Manipulate-Anything: Automating Real-World Robots using Vision-Language Models.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Manipulate-Anything: Automating Real-World Robots using Vision-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.119729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f712e4-b876-42ea-b25b-f4eb3220dcfa · outbound

This paper cites Robust grasping across diverse sensor qualities: The graspnet-1billion dataset.The International Journal of Robotics Research, 2023.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Robust grasping across diverse sensor qualities: The graspnet-1billion dataset.The International Journal of Robotics Research, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.234237Z

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Observation 28dbfb7f-df32-42cb-a5c4-dc7f63da4cf0 · outbound

This paper cites Saga: Open-world mobile manipulation via structured affordance ground- ing.arXiv e-prints, pages arXiv–2512, 2025.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Saga: Open-world mobile manipulation via structured affordance ground- ing.arXiv e-prints, pages arXiv–2512, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.354988Z

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Observation c6aedfac-8ed2-47f1-b260-9fcc75843cab · outbound

This paper cites LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.417772Z

Source-reported events for the cited work

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Observation dc5e04a0-de71-41d1-a6da-18569442360b · outbound

This paper cites The fast downward planning system.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation The fast downward planning system

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.486841Z

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Observation c0e51b0a-9dc5-4208-9bf7-4b60377a6ccd · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.546735Z

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Observation 6b1ec38a-5296-4e86-b1ec-0230b0209249 · outbound

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

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.621115Z

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Observation 36a6d496-e610-4671-9b16-08989f760271 · outbound

This paper cites ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.675362Z

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Observation cba26dfb-47e4-4a94-8d5f-35dae4d9bcfe · outbound

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

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.729216Z

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Observation 04e40db3-f7dc-483b-83fe-07bbcde60ec4 · outbound

This paper cites Goat-bench: A benchmark for multi-modal lifelong navigation.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Goat-bench: A benchmark for multi-modal lifelong navigation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.781722Z

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Observation afe57711-0c73-4266-a8f2-29a2c60dc7cd · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.822824Z

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Observation 7c11f758-f201-40d4-9c0a-81a9b9ed05e6 · outbound

This paper cites Segment anything.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Segment anything

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.861993Z

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Observation e15b3e61-c3d6-4b0c-94db-c48c7793616f · outbound

This paper cites Embodied agent inter- face: Benchmarking llms for embodied decision making.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Embodied agent inter- face: Benchmarking llms for embodied decision making

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.918851Z

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Observation a33b5fb8-d8fb-4aa1-b0ca-e8c0a958cf96 · outbound

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

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:48.951259Z

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Observation de91a1d2-1406-4bc0-b2a1-fb0916b17d49 · outbound

This paper cites MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.093878Z

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Observation e96c3a67-6fa1-4276-9082-6a521c2328a4 · outbound

This paper cites OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.215384Z

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Observation 89fd06d8-2ed5-4920-8124-51b5d5ca3d32 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation AgentBench: Evaluating LLMs as Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.240126Z

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Observation 5d3eb106-c59c-40ad-b607-5bd8f2e5abfa · outbound

This paper cites VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.354779Z

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Observation 16e9f005-fa3f-47c7-a971-0fcf26f51d4f · outbound

This paper cites Openeqa: Embodied question answering in the era of foundation models.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Openeqa: Embodied question answering in the era of foundation models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.448974Z

Source-reported events for the cited work

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Observation 9c5e6c8b-b826-4730-8f58-f02d2d7c30e0 · outbound

This paper cites Language segment-anything.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Language segment-anything

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.564119Z

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Observation b803f424-e42c-467b-9638-48bffd3de407 · outbound

This paper cites A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.656397Z

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Observation 4545f252-3edf-44ab-8eb9-c17d77d63562 · outbound

This paper cites Robospatial: Teaching spatial understanding to 2d and 3d vision- language models for robotics.CoRR, 2024.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Robospatial: Teaching spatial understanding to 2d and 3d vision- language models for robotics.CoRR, 2024

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.749985Z

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Observation b56af541-c327-426c-aec4-4754ad921acf · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Gemini Robotics: Bringing AI into the Physical World

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.816126Z

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Observation 685ac3e0-a1a7-4cee-aba7-237edd72d432 · outbound

This paper cites Towards Open-World Grasping with Large Vision-Language Models.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Towards Open-World Grasping with Large Vision-Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.867993Z

Source-reported events for the cited work

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Observation 970bad5d-69c9-49bd-8327-b64c76b604c7 · outbound

This paper cites Tidybot: Per- sonalized robot assistance with large language models.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Tidybot: Per- sonalized robot assistance with large language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.905023Z

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Observation 3b0d4db3-2938-4516-a0fa-ca215fabb829 · outbound

This paper cites Qwen3 Technical Report.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Qwen3 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:49.956088Z

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Observation 96c42348-e4f9-4d2a-9dd5-373bf61df92a · outbound

This paper cites EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.023173Z

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Observation 7552e01a-c1be-4852-80dc-7ae7d0a02870 · outbound

This paper cites UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.100301Z

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Observation c6688274-9145-48d1-8c78-2c59c11017d1 · outbound

This paper cites DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.147741Z

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Unavailable: canonical work link unavailable.

Observation 2b61602b-4265-4098-8a6c-7013d07300d7 · outbound

This paper cites Llm-grop: Visually grounded robot task and motion planning with large language models.The International Journal of Robotics Research, 2025.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Llm-grop: Visually grounded robot task and motion planning with large language models.The International Journal of Robotics Research, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.249828Z

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Observation 135bd671-1097-47e5-b3f0-56bb716d27d9 · outbound

This paper cites LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.323715Z

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Observation f23e3e64-3feb-49fb-97a7-5549f1df54bf · outbound

This paper cites We collect action-checker evaluation data from real rollouts of the AgenticLab pipeline, resulting in 61 verification instances across 7 different scenes and 5 tasks.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation We collect action-checker evaluation data from real rollouts of the AgenticLab pipeline, resulting in 61 verification instances across 7 different scenes and 5 tasks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.410335Z

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Unavailable: canonical work link unavailable.

Observation 83f839a7-119b-4c68-8d4e-7689706ce677 · outbound

This paper cites We curate 50 grasp-planning instances covering diverse objects.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation We curate 50 grasp-planning instances covering diverse objects

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.485057Z

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Observation a014757f-e139-449a-8633-4343bf71d3d8 · outbound

This paper cites We collect 21 real-world camera inputs and annotate object regions using SAM masks [17] and corresponding bounding boxes.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation We collect 21 real-world camera inputs and annotate object regions using SAM masks [17] and corresponding bounding boxes

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.585281Z

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Observation ed379ede-5c06-4699-860a-8b826edb06e6 · outbound

This paper cites success":true,.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation success":true,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.659433Z

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Observation c9a6a91a-8d45-4d01-b89b-ad475980d018 · outbound

This paper cites We execute the sorting task without human intervention, placing food items into the box and toys into the bowl.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation We execute the sorting task without human intervention, placing food items into the box and toys into the bowl

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.749522Z

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Observation 7cb18e3e-e7db-4e13-b97d-1894c65fa586 · outbound

This paper cites During the first pick, we move the target object to induce a misgrasp and simulate grasp failure.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation During the first pick, we move the target object to induce a misgrasp and simulate grasp failure

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.820584Z

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Observation f29a5b82-27dd-4a9a-9434-40237f283566 · outbound

This paper cites success":false,.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation success":false,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:50.919940Z

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Observation e1ad5b30-f8e9-4c37-bec9-9be1d9a1049c · outbound

This paper cites Grab the food to the bowl.

PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation Grab the food to the bowl

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T05:38:51.039992Z

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Pith citing papers

Observation 29bda1c7-b1de-46db-a946-15dd5fe4ca23 · inbound

Closing the Loop in Humanoid VLA: Persistent 3D Object Tokens for Verifiable Loco-Manipulation cites this paper.

Closing the Loop in Humanoid VLA: Persistent 3D Object Tokens for Verifiable Loco-Manipulation PLanAR: Planning-Language-Grounded Agentic Reasoning for Robot Manipulation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T16:26:21.870837Z

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