Paper Citation Record · LEDGER

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.11739.

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

pith.paper-citation-record.v1
2607.11739 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T03:31:04.614079Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

32 of 32 outbound references displayed

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unresolved32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 457ae4a8-43fd-48d9-b917-5363048dcda5 · outbound

This paper cites Drl-vo: Learning to navigate through crowded dy- namic scenes using velocity obstacles,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Drl-vo: Learning to navigate through crowded dy- namic scenes using velocity obstacles,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation e11eb15c-a408-44a2-8cfd-8f0cebfa5db9 · outbound

This paper cites Intention aware robot crowd navigation with attention-based interaction graph,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Intention aware robot crowd navigation with attention-based interaction graph,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 22b53015-bcb3-4878-925f-8f3fb1e40ff0 · outbound

This paper cites Ldp: A local diffusion planner for efficient robot navigation and collision avoidance,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Ldp: A local diffusion planner for efficient robot navigation and collision avoidance,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 3fa1b6b7-40bb-4fe2-b408-94f926aa9663 · outbound

This paper cites Crowdsurfer: Sampling optimization augmented with vector-quantized variational autoencoder for dense crowd navigation,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Crowdsurfer: Sampling optimization augmented with vector-quantized variational autoencoder for dense crowd navigation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation d96fac09-9355-4301-a124-199a4c884406 · outbound

This paper cites Pathrl: An end-to-end path generation method for collision avoidance via deep reinforcement learning,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Pathrl: An end-to-end path generation method for collision avoidance via deep reinforcement learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation a19d0af6-d443-45f0-ae6d-e1b86719b1f0 · outbound

This paper cites Path planning on robot based on d* lite algorithm,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Path planning on robot based on d* lite algorithm,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 49606f0c-e13a-450b-a936-891b7aef7290 · outbound

This paper cites Online graph pruning for pathfinding on grid maps,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Online graph pruning for pathfinding on grid maps,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 92182bcc-831a-4a74-8932-11e29e8a08c2 · outbound

This paper cites Asynchronous multithreading reinforcement-learning-based path planning and tracking for unmanned underwater vehicle,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Asynchronous multithreading reinforcement-learning-based path planning and tracking for unmanned underwater vehicle,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 10b887ac-44d5-425e-99d1-381e7b2f77e3 · outbound

This paper cites Rapidly-exploring random trees: Progress and prospects: Steven m. lavalle, iowa state university, a james j. kuffner, jr., university of tokyo, tokyo, japan,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Rapidly-exploring random trees: Progress and prospects: Steven m. lavalle, iowa state university, a james j. kuffner, jr., university of tokyo, tokyo, japan,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation ddf6c630-3df8-408b-a7ef-1010eb901b04 · outbound

This paper cites Local path planning of mobile robot based on artificial potential field,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Local path planning of mobile robot based on artificial potential field,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 1bdfa427-690e-427a-9e18-d78b00277d46 · outbound

This paper cites Dynamic window based approach to mobile robot motion control in the presence of moving obstacles,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Dynamic window based approach to mobile robot motion control in the presence of moving obstacles,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 9827d396-47f9-4d99-b998-a6eddac6a34d · outbound

This paper cites Minimum snap trajectory generation and control for quadrotors,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Minimum snap trajectory generation and control for quadrotors,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation d41ae953-2516-4931-92eb-e9eeb6011bdc · outbound

This paper cites Polynomial trajectory planning for aggressive quadrotor flight in dense indoor environments,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Polynomial trajectory planning for aggressive quadrotor flight in dense indoor environments,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 321e4ca6-9d85-4938-82fc-07bb3ef76f6d · outbound

This paper cites Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 139f6366-55ca-460f-8c72-8894081ce383 · outbound

This paper cites Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 3a52b37a-f638-4063-b51a-064ffd8e0984 · outbound

This paper cites How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 0b99c7ca-7de7-4c18-99b3-fe868b9f2a63 · outbound

This paper cites Learning from all vehicles,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Learning from all vehicles,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 0aae6ebd-3abb-467d-b3e9-41acc16b8ce8 · outbound

This paper cites Imitation Learning by Reinforcement Learning.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Imitation Learning by Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation d73c10f2-7be8-43a3-be29-37b1c35ba07a · outbound

This paper cites DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 8ca493b0-3abd-4869-a208-d7b9e5f71bd0 · outbound

This paper cites Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation bbb50615-064a-4fdd-84ff-19eb27d1e284 · outbound

This paper cites Trajectory planning with deep reinforcement learning in high-level action spaces,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Trajectory planning with deep reinforcement learning in high-level action spaces,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation f84bb642-9e7c-416f-a144-fe6b9d4c1959 · outbound

This paper cites Robot navigation with reinforcement learned path generation and fine-tuned motion control,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Robot navigation with reinforcement learned path generation and fine-tuned motion control,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 1a5f133b-7fe6-4ad4-9a57-9010d2cc6c7b · outbound

This paper cites Where to go next: Learning a subgoal recommendation policy for navigation in dynamic environments,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Where to go next: Learning a subgoal recommendation policy for navigation in dynamic environments,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 9c117cd3-97cc-4850-b626-77cf759520d5 · outbound

This paper cites Actor-critic model predictive control,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Actor-critic model predictive control,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation 56d55d43-3684-40c3-a0de-e5fb092d0dcf · outbound

This paper cites NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation f0894828-45b6-4e62-a2ca-b2a53a8ff0ed · outbound

This paper cites Progressive Learning for Physics-informed Neural Motion Planning.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Progressive Learning for Physics-informed Neural Motion Planning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation e4b3cb96-f539-49c5-be6b-9b9810033870 · outbound

This paper cites Pc- planner: Physics-constrained self-supervised learning for robust neural motion planning with shape-aware distance function,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Pc- planner: Physics-constrained self-supervised learning for robust neural motion planning with shape-aware distance function,

Reference 27

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Observation 9d8096e8-6c05-4674-b47e-319c4f1fbc2c · outbound

This paper cites Conditional value-at-risk for general loss distributions,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Conditional value-at-risk for general loss distributions,

Reference 28

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Observation 5a612e16-d3c5-40e6-9a3d-3e6c1ea5996a · outbound

This paper cites Proximal Policy Optimization Algorithms.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Proximal Policy Optimization Algorithms

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation d18d8f94-4f94-4a9e-ae38-b719e9fc1ee2 · outbound

This paper cites Priest: Projection guided sampling-based optimization for au- tonomous navigation,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Priest: Projection guided sampling-based optimization for au- tonomous navigation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Observation c754b150-5dbf-4d47-a6ac-eaaaa5a798c5 · outbound

This paper cites Social force model for pedestrian dynamics,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Social force model for pedestrian dynamics,

Reference 31

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Observation f9aff2bb-f2f1-4583-84c6-a45ee138599b · outbound

This paper cites Pedsim: Pedestrian crowd simulation,.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Pedsim: Pedestrian crowd simulation,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

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Pith citing papers

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