Paper Citation Record · LEDGER

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.15935.

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

pith.paper-citation-record.v1
2607.15935 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:54:36.714784Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

30 of 30 outbound references displayed

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verified fuzzy0
unresolved30
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malformed identifier0
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External citation measurements

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Outbound references

Observation aa63cc97-747d-4baa-a9fc-4b813072f9e5 · outbound

This paper cites Deep reinforcement learning for vision-based robotic grasping: A simulated comparative evaluation of off-policy methods,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Deep reinforcement learning for vision-based robotic grasping: A simulated comparative evaluation of off-policy methods,

Reference 1

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Unavailable: canonical work link unavailable.

Observation 5151804c-bc18-43a9-a489-4339dd2ff03b · outbound

This paper cites Synthesizing depow- dering trajectories for robot arms using deep reinforcement learning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Synthesizing depow- dering trajectories for robot arms using deep reinforcement learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:31.345850Z

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Observation c1c88d81-914c-487b-b852-9c3c2399c05e · outbound

This paper cites Rapidly-exploring random trees: A new tool for path planning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Rapidly-exploring random trees: A new tool for path planning,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:31.520231Z

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Observation c6a630aa-a306-4e99-8c68-41a3d9e1305c · outbound

This paper cites Scalable deep reinforcement learning for vision-based robotic manipulation,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Scalable deep reinforcement learning for vision-based robotic manipulation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:31.692134Z

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Observation 96d95738-109c-4d7b-98aa-76af5a9714a4 · outbound

This paper cites The impact of task underspecification in evaluating deep reinforcement learning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark The impact of task underspecification in evaluating deep reinforcement learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:31.860723Z

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Observation 3bfd88c1-208a-4e14-93f1-f91970a4762d · outbound

This paper cites Openai gym,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Openai gym,

Reference 6

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Observation 8865e781-e250-4327-bf50-27ff770c651b · outbound

This paper cites panda-gym: Open-Source Goal-Conditioned Environments for Robotic Learning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark panda-gym: Open-Source Goal-Conditioned Environments for Robotic Learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:32.353672Z

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Observation a1c8c987-0c91-4533-9699-43b0dcfc9f6f · outbound

This paper cites Mujoco: A physics engine for model-based control,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Mujoco: A physics engine for model-based control,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:32.518086Z

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Observation 76a30783-1fc1-42cc-b20b-3bf564871356 · outbound

This paper cites Nvidia isaac simulation,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Nvidia isaac simulation,

Reference 9

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Observation 9f3f50e8-2d5d-412a-b5cf-97fde5475c01 · outbound

This paper cites Available: https://developer.nvidia.com/isaac-sim.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Available: https://developer.nvidia.com/isaac-sim

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:32.973865Z

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Observation 8ff546f9-8d67-4293-806d-e01222ab17eb · outbound

This paper cites Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:33.192043Z

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Observation e79de892-56b6-46b3-8fb7-2e8fbe9139cb · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Proximal Policy Optimization Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:33.407417Z

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Observation b92de582-1868-436f-91fb-01f8c744617b · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:33.581687Z

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Observation 48b101f1-d9ed-4dad-9392-b786bb8dfbf6 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning im- plementations,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Stable-baselines3: Reliable reinforcement learning im- plementations,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:33.746782Z

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Observation c62ac2c3-4c98-4aa6-9f58-c7b880c33c94 · outbound

This paper cites Solving minimum-cost reach avoid using reinforcement learning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Solving minimum-cost reach avoid using reinforcement learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:33.980731Z

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Observation 1413e102-0ac3-4d0e-86c5-a70003dc9434 · outbound

This paper cites Optlayer-practical constrained optimization for deep reinforcement learning in the real world,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Optlayer-practical constrained optimization for deep reinforcement learning in the real world,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:34.190627Z

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Observation 806f78aa-c116-4288-a68a-b57dc3e62a17 · outbound

This paper cites Deep reinforcement learning for collision avoidance of robotic manipulators,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Deep reinforcement learning for collision avoidance of robotic manipulators,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:34.402174Z

Source-reported events for the cited work

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Observation 28576d78-00eb-403f-8c8a-7cfe9207fd65 · outbound

This paper cites Accelerating reinforcement learning for reaching using continuous curriculum learning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Accelerating reinforcement learning for reaching using continuous curriculum learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:34.579781Z

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Observation e577babd-efd3-44ca-8611-5c4ee295d474 · outbound

This paper cites Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:34.734018Z

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Observation 9735cd8e-ca16-49d9-9098-ecc1de43b4b4 · outbound

This paper cites Rl-rrt: Kinodynamic motion planning via learning reachability estimators from rl policies,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Rl-rrt: Kinodynamic motion planning via learning reachability estimators from rl policies,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:34.928864Z

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Observation dc500fa3-ca62-4c8c-9869-8ee84db6b377 · outbound

This paper cites Reinforcement learning-based algorithm to avoid obstacles by the anthropomorphic robotic arm,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Reinforcement learning-based algorithm to avoid obstacles by the anthropomorphic robotic arm,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:35.139157Z

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Observation 3e80beab-524b-4f5e-a86e-2927e29ef4ed · outbound

This paper cites Deep-reinforcement-learning-based path planning for indus- trial robots using distance sensors as observation,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Deep-reinforcement-learning-based path planning for indus- trial robots using distance sensors as observation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:35.343066Z

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Observation 347e1cb2-fd2c-4b4a-aff2-12a51baf9e01 · outbound

This paper cites IPPO: Obstacle Avoidance for Robotic Manipulators in Joint Space via Improved Proximal Policy Optimization.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark IPPO: Obstacle Avoidance for Robotic Manipulators in Joint Space via Improved Proximal Policy Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:35.495797Z

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Observation b8c793dd-abb8-49e9-88a3-11b5f768db86 · outbound

This paper cites Joint space control via deep reinforcement learning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Joint space control via deep reinforcement learning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:35.669064Z

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Observation f840f3a7-db4d-4a8d-bf92-fc22fd69c1d3 · outbound

This paper cites Robots,Universal Robots UR5e.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Robots,Universal Robots UR5e

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:35.800460Z

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Observation 8192d0f2-bb01-44b7-afd7-0b3b58fc9f09 · outbound

This paper cites Robotics,Franka Emika Robot.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Robotics,Franka Emika Robot

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:35.962117Z

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Observation 0c7e37ca-6f55-4317-87e7-5fc8d8afc855 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:36.137989Z

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Observation 46cc55f6-cce9-4610-b14e-b57a6da3708c · outbound

This paper cites Revisiting sparse rewards for goal-reaching reinforcement learning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Revisiting sparse rewards for goal-reaching reinforcement learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:36.339493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9072412-cfda-4363-aba1-114fd6287b2e · outbound

This paper cites Accelerating reinforcement learning for reaching using continuous curriculum learning,.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Accelerating reinforcement learning for reaching using continuous curriculum learning,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:36.538093Z

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Unavailable: canonical work link unavailable.

Observation 82132760-d177-4b33-99fa-520321209624 · outbound

This paper cites Training Larger Networks for Deep Reinforcement Learning.

Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark Training Larger Networks for Deep Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T21:54:36.714784Z

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Pith citing papers

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