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Paper Citation Record · LEDGER

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2507.13940.

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

pith.paper-citation-record.v1
2507.13940 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:20:58.255883Z

measured 38 of 38 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:58:34.692462Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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Outbound references

Observation c458488b-9e7e-4694-9c83-c17ec4a1a43b · outbound

This paper cites dRRT*: Scalable and informed asymptotically-optimal multi-robot motion planning,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning dRRT*: Scalable and informed asymptotically-optimal multi-robot motion planning,

Reference 1

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Observation f3dc46a5-8460-441a-a370-7c1db41cc7d1 · outbound

This paper cites Representation- optimal multi-robot motion planning using conflict-based search,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Representation- optimal multi-robot motion planning using conflict-based search,

Reference 2

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Observation c6e85252-685c-4874-ae3c-5900e9c9dab1 · outbound

This paper cites CHOMP: Gradient optimization techniques for efficient motion planning,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning CHOMP: Gradient optimization techniques for efficient motion planning,

Reference 3

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Observation 94492a8a-7db9-4029-9e6c-438854438dbb · outbound

This paper cites Learning a decentralized multi-arm motion planner,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Learning a decentralized multi-arm motion planner,

Reference 4

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Observation 83a31a7a-e6e8-44a3-98f4-6e2d7fcd5085 · outbound

This paper cites Hamilton-Jacobi reachability: A brief overview and recent advances,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Hamilton-Jacobi reachability: A brief overview and recent advances,

Reference 5

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Observation 479b61a2-3159-4eef-b482-9d605a952755 · outbound

This paper cites Multi-vehicle collision avoidance via Hamilton-Jacobi reachability and mixed integer pro- gramming,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Multi-vehicle collision avoidance via Hamilton-Jacobi reachability and mixed integer pro- gramming,

Reference 6

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Observation c97c1029-129a-4b5e-ac9b-065b94cdf841 · outbound

This paper cites Infusing reachability-based safety into planning and control for multi-agent interactions,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Infusing reachability-based safety into planning and control for multi-agent interactions,

Reference 7

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Observation 53b39873-8020-488c-bc1a-a9852bb6101d · outbound

This paper cites Deepreach: A deep learning approach to high-dimensional reachability,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Deepreach: A deep learning approach to high-dimensional reachability,

Reference 8

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Observation 33dfb6fe-c1ef-4b04-a946-71806c8d5607 · outbound

This paper cites RRT-Connect: An efficient approach to single-query path planning,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning RRT-Connect: An efficient approach to single-query path planning,

Reference 9

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Observation d60a1adc-e694-4311-90fd-17d8d9a1c39c · outbound

This paper cites A review of path-planning approaches for multiple mobile robots,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning A review of path-planning approaches for multiple mobile robots,

Reference 10

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Observation e2c64aeb-2883-4e11-a0b2-d34f53a40a56 · outbound

This paper cites Reciprocal velocity obstacles for real-time multi-agent navigation,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Reciprocal velocity obstacles for real-time multi-agent navigation,

Reference 11

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Observation 37105abd-a543-49f5-bfa9-7451bf579e97 · outbound

This paper cites Efficient multi- robot motion planning for manifold-constrained manipulators by ran- domized scheduling and informed path generation,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Efficient multi- robot motion planning for manifold-constrained manipulators by ran- domized scheduling and informed path generation,

Reference 12

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Observation 83b46808-ba9b-4e43-b760-1a55babd91ed · outbound

This paper cites Safe multiagent motion planning under uncertainty for drones using filtered reinforcement learning,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Safe multiagent motion planning under uncertainty for drones using filtered reinforcement learning,

Reference 13

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source=pdf_text observed=2026-08-06T16:20:58.184685Z digest=sha256:80a4a49ca7de1ffa64a85830fe5996fc7a915fe8af8855c5c213d9684c986334

Observation 9e248ecd-8189-4f40-86d0-19820f78953e · outbound

This paper cites Reachability-based trajectory safeguard (RTS): A safe and fast reinforcement learning safety layer for continuous control,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Reachability-based trajectory safeguard (RTS): A safe and fast reinforcement learning safety layer for continuous control,

Reference 14

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Observation 4c7457ba-0ecf-4b5b-b8cb-b6be53577314 · outbound

This paper cites A toolbox of level set methods,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning A toolbox of level set methods,

Reference 15

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Observation ff639e1f-12ed-445c-9283-f759fd22e41d · outbound

This paper cites Provably safe and scalable multivehicle trajectory planning,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Provably safe and scalable multivehicle trajectory planning,

Reference 16

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Observation 703fa051-473a-4e9e-8c0a-df324ff215ef · outbound

This paper cites Isaacs: Iterative soft adversarial actor-critic for safety,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Isaacs: Iterative soft adversarial actor-critic for safety,

Reference 17

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source=pdf_text observed=2026-08-06T16:20:58.196118Z digest=sha256:6e7c11bf394fb99dbc29cca6617352b89105abf4abd1f8250966c23307305ae8

Observation 11f1c6b5-774b-4622-82e1-c54d271b6ab6 · outbound

This paper cites Iterative reachability estimation for safe reinforcement learning,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Iterative reachability estimation for safe reinforcement learning,

Reference 18

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Observation e09e6d91-0443-4a4c-9b88-fbc6f9341f5b · outbound

This paper cites On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions,

Reference 19

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Observation f1be69e0-6d6e-47ad-8c5d-5955fd141eda · outbound

This paper cites Safe multi-agent interaction through robust control barrier functions with learned uncertainties,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Safe multi-agent interaction through robust control barrier functions with learned uncertainties,

Reference 20

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Observation 89619fa4-ff17-4ad2-9a88-d4093d85701c · outbound

This paper cites Parameterized fast and safe tracking (fastrack) using deepreach,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Parameterized fast and safe tracking (fastrack) using deepreach,

Reference 21

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Observation b780aa44-34c4-4f36-bf7f-1c98309f54c7 · outbound

This paper cites Reachability-based trajectory design with neural implicit safety constraints.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Reachability-based trajectory design with neural implicit safety constraints

Reference 22

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Observation 7b5d0c16-cc41-43d8-9125-b6858396e9f6 · outbound

This paper cites Efficient motion planning for manipulators with control barrier function-induced neural controller,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Efficient motion planning for manipulators with control barrier function-induced neural controller,

Reference 23

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Observation cfd61fba-36cf-4458-9a33-892c4aa1afcc · outbound

This paper cites Reach-avoid problems with time-varying dynamics, targets and constraints,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Reach-avoid problems with time-varying dynamics, targets and constraints,

Reference 24

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Observation 3a8dcc9d-15ed-488c-958c-c92d5d7dcbac · outbound

This paper cites an unresolved cited work.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Unresolved cited work

Reference 25

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Observation b2894fdd-6e3c-4e0a-901a-3f79fbfda4b3 · outbound

This paper cites A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games,

Reference 26

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Observation 2e844248-f6db-474b-ac77-ca6c347586ba · outbound

This paper cites Exact imposition of safety boundary conditions in neural reachable tubes,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Exact imposition of safety boundary conditions in neural reachable tubes,

Reference 27

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Observation 94382cb8-497b-4755-b40d-571aaba028e5 · outbound

This paper cites On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear program- ming,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning On the implementation of an interior- point filter line-search algorithm for large-scale nonlinear program- ming,

Reference 28

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Observation 0bae3da2-0db7-49f1-902c-5f89c4e360b6 · outbound

This paper cites Safe Planning for Articulated Robots Using Reachability-based Obstacle Avoidance With Spheres,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Safe Planning for Articulated Robots Using Reachability-based Obstacle Avoidance With Spheres,

Reference 29

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Observation 43532ed8-2f43-4730-b65a-899f2a2b27cd · outbound

This paper cites hj reachability,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning hj reachability,

Reference 30

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Observation 704a558c-913d-438f-be9b-e344edc1e72f · outbound

This paper cites PyTorch Kinematics,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning PyTorch Kinematics,

Reference 31

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Observation ff2e5f12-73f9-4d5a-b9af-580a6bf7afdb · outbound

This paper cites Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study

Reference 32

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Observation 77bef758-c6db-43e3-9911-c4114fc0dca4 · outbound

This paper cites Certifiable reachability learning using a new Lipschitz continuous value function,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Certifiable reachability learning using a new Lipschitz continuous value function,

Reference 33

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Observation 9aa3c0b3-157d-4f34-8ca3-ef5c66569822 · outbound

This paper cites Generating formal safety assurances for high- dimensional reachability,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Generating formal safety assurances for high- dimensional reachability,

Reference 34

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Observation 74428634-8325-45cb-9a64-b41e1f59f8a4 · outbound

This paper cites Multi-robot local motion planning using dynamic optimization fabrics,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Multi-robot local motion planning using dynamic optimization fabrics,

Reference 35

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Observation 5df76177-ed27-43e0-803b-b49a2d8b6e48 · outbound

This paper cites A robust controlled backward reach tube with (almost) analytic solution for two dubins cars.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning A robust controlled backward reach tube with (almost) analytic solution for two dubins cars

Reference 36

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Observation d482af61-9b2c-4206-ae27-7caedfa29dbc · outbound

This paper cites Neural joint space implicit signed distance functions for reactive robot manipulator control,.

NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning Neural joint space implicit signed distance functions for reactive robot manipulator control,

Reference 37

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raw_fallback, observed 2026-08-06T16:20:58.294770Z

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Pith citing papers

Observation c146ab0e-9193-4dff-8077-b682767d501b · inbound

Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning cites this paper.

Manifold-constrained Hamilton-Jacobi Reachability Learning for Decentralized Multi-Agent Motion Planning NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning

Reference 21

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no resolver link, observed 2026-08-03T23:58:34.692462Z

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source=pdf_text observed=2026-08-03T23:58:34.692462Z digest=sha256:00bc4f1d4d782fa1dc7644f3ffefe219484d7f837cd6376217858a6cbbec8f22