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Paper Citation Record · LEDGER

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.09716.

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

pith.paper-citation-record.v1
2607.09716 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T17:16:29.593934Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

18 of 18 outbound references displayed

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External citation measurements

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Outbound references

Observation 3383603b-8c08-43de-b511-794b573d6ec0 · outbound

This paper cites Adaptive manipulability- based path planning strategy for industrial robot manipulators,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Adaptive manipulability- based path planning strategy for industrial robot manipulators,

Reference 1

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:2d4ab921c667bea9ca936b235fc5b03aaf802a02224eaf7595fd0d36f199aa13

Observation c8c35aae-4bd3-4cf6-b022-e0b9a5b53186 · outbound

This paper cites Trajectory optimization and obstacle avoidance of autonomous robot using robust and efficient rapidly exploring random tree,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Trajectory optimization and obstacle avoidance of autonomous robot using robust and efficient rapidly exploring random tree,

Reference 2

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:e0269029b6fb66fc1444102bd4eef61d4907e0ceb61460f38fc950a31576716e

Observation b1d998e3-762d-449a-bff7-9242b1eb9640 · outbound

This paper cites Path planning algorithm for manipulators in complex scenes based on improved rrt*,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Path planning algorithm for manipulators in complex scenes based on improved rrt*,

Reference 3

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:5f8066d13f552469275024f2a718903321ac75c204e996c62398da51d628b73d

Observation 15a93114-9c06-4b84-871f-b5381d9fd89c · outbound

This paper cites Reinforcement learning- based robotic arm path planning in complex scenarios,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Reinforcement learning- based robotic arm path planning in complex scenarios,

Reference 4

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:d4c20c6c764cc6b0eaf4569bcfa62b4d6cb1635f7396588f33a7a91e2fe6e18e

Observation c7e703bc-b4aa-4dc1-a2c7-44fb8ddd9171 · outbound

This paper cites World4rl: Diffusion world models for policy refinement with reinforcement learning for robotic manipulation,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments World4rl: Diffusion world models for policy refinement with reinforcement learning for robotic manipulation,

Reference 5

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:a812b8c0ba2bff3be3b46bb15ecbc305e88f1e0ad37bcf8189cfbd535b852015

Observation c3ffade7-9d03-4038-ad06-90f819d485e2 · outbound

This paper cites A novel robust imitation learning framework for complex skills with limited demonstrations,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments A novel robust imitation learning framework for complex skills with limited demonstrations,

Reference 6

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:1de9597d716836be477b5251ae784d8db1055985bc582e57fdf8dd16e9caed7a

Observation 22b40b91-6012-4d92-91f7-5f1df1b36d79 · outbound

This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Llm-planner: Few-shot grounded planning for embodied agents with large language models,

Reference 7

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:5272096b7acf98bfd66ffd0eea11b419963c8142f3eeab287bd99a9399c959a0

Observation 66846009-d701-4505-98a6-b2203a84b250 · outbound

This paper cites Empowering Large Language Models on Robotic Manipulation with Affordance Prompting.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Empowering Large Language Models on Robotic Manipulation with Affordance Prompting

Reference 8

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:59bd2433d3389172a0600c4c9c6dc1d38e8eabb2ceb7d9ee6ee7efb100a6ff2d

Observation 17be122a-c9ac-4f27-b335-f5a7fb9d001e · outbound

This paper cites Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation

Reference 9

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:9c7f3d7a08091d32831b7497777941c4e90c66f948dfc906101b980493bd9af2

Observation 6029057e-814a-4e54-b766-743cc187a15e · outbound

This paper cites Smart-llm: Smart multi- agent robot task planning using large language models,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Smart-llm: Smart multi- agent robot task planning using large language models,

Reference 10

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:852baed4c2f9a454b059de678f8c80d55756b4c3763e53b90c0407f0c96d9237

Observation 79c7452e-4eb1-4690-986e-4605b46894a2 · outbound

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

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 11

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:0365c90dd212b2789d0ba5a0c7732809f8e17230ba5aa58eaecab693561368d8

Observation fe3c7914-957b-4ff5-9850-c7e837e2e57f · outbound

This paper cites Language models as zero-shot trajectory generators,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Language models as zero-shot trajectory generators,

Reference 12

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:332f82dfa21b7a21d519462acd0a0d910fe388f0db9874271785d515243644c6

Observation ecff57ee-4eaf-4917-8d71-40cbcd96f6c1 · outbound

This paper cites An end-to-end gpt-4o informed pipeline for manipulation task planning with sim2real validation,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments An end-to-end gpt-4o informed pipeline for manipulation task planning with sim2real validation,

Reference 13

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:e2e2114b27411d25daa0692d586dc26d13a70e083e1f024f354d50b8fb5c1d44

Observation 4a9b7838-26ee-49bf-b362-6ea9691bd2d0 · outbound

This paper cites LLM3: Large language model-based task and motion planning with motion failure reasoning,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments LLM3: Large language model-based task and motion planning with motion failure reasoning,

Reference 14

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:8b0f1c0bccf30c7d2823625e78360f5053f86d4a2d2a9636a71a5e1f26f7f7f8

Observation 843ed4c5-8c04-451c-88df-7e75c901d19b · outbound

This paper cites Evolutionary computation applied to the control of a robotic manipulator with obstacle avoidance,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Evolutionary computation applied to the control of a robotic manipulator with obstacle avoidance,

Reference 15

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source=pdf_text observed=2026-07-14T17:16:29.593934Z digest=sha256:3ab669897a31366a01c26a3143c21bb461570e1ed94099f334fa3dc3de0f9a9c

Observation 14000284-2d5f-4d35-85f5-7065cfdbb45c · outbound

This paper cites Non-holonomic mobile manipulator nmpc for occlusion avoidance based on elliptic cone fov representation,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Non-holonomic mobile manipulator nmpc for occlusion avoidance based on elliptic cone fov representation,

Reference 16

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Observation 78b90335-e790-4413-a677-c73e82a02188 · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection,.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Yolo-world: Real-time open-vocabulary object detection,

Reference 17

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Observation 86b5f5da-01d4-45e8-9e09-3f817957ef3c · outbound

This paper cites Segment Anything.

RoboNav-Arm: Agentic AI-Driven Navigation and Obstacle Avoidance for Robotic Manipulator in Cluttered Environments Segment Anything

Reference 18

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Pith citing papers

No inbound Pith citation observations are available.