Paper Citation Record · LEDGER

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning

As of 21 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:2505.05691.

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

pith.paper-citation-record.v1
2505.05691 v1

Coverage vector

measured 64 of 64 reference resolution

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measured 66 of 66 standing notices

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

Source: arxiv_reference, observed 2026-05-17T15:14:26.193632Z

Reference resolution

64 of 64 outbound references displayed

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External citation measurements

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Outbound references

Observation 9312803b-85c1-4abc-8428-44048566be58 · outbound

This paper cites write newline.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning write newline

Reference 1

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Observation 1351caed-65c8-4178-97cb-d46cd03b227e · outbound

This paper cites A geometric perspective on optimal representations for reinforcement learning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning A geometric perspective on optimal representations for reinforcement learning

Reference 2

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Observation e70c5373-fd22-428b-ad50-e0b68e4c006c · outbound

This paper cites Neural path planning: Fixed time, near-optimal path generation via oracle imitation.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Neural path planning: Fixed time, near-optimal path generation via oracle imitation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.275783Z

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Observation e7df99d5-68aa-46bb-a1da-3ff7ed055a89 · outbound

This paper cites Model-predictive control via cross-entropy and gradient-based optimization.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Model-predictive control via cross-entropy and gradient-based optimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.263925Z

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Observation 226c36a0-e190-4216-919c-d0b62c3151d7 · outbound

This paper cites Path planning using lazy prm.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Path planning using lazy prm

Reference 5

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Observation e1f18930-0525-4779-a0a0-7d4ae9a5ccc5 · outbound

This paper cites Multidimensional scaling.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Multidimensional scaling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.239978Z

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Observation ff7e1428-ffde-4181-94b9-26fdccb1d1cd · outbound

This paper cites Differentiable spatial planning using transformers.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Differentiable spatial planning using transformers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.228669Z

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Observation abb42ba5-bc03-464a-b48b-fcb1249a0e1c · outbound

This paper cites Motion policy networks.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Motion policy networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.216851Z

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Observation 62db4197-7e75-4b8c-bd7d-cd258e125b37 · outbound

This paper cites Batch informed trees (bit*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Batch informed trees (bit*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.204786Z

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Observation f1a5caaf-96ca-4ee4-be76-fe28bcd2a31d · outbound

This paper cites Deep residual learning for image recognition.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Deep residual learning for image recognition

Reference 10

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Observation e54df677-3fc5-4d10-a84a-e7db35980c42 · outbound

This paper cites Cost-to-go function generating networks for high dimensional motion planning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Cost-to-go function generating networks for high dimensional motion planning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.186455Z

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Observation 421a0a72-cfe7-4505-b48e-f4366543d326 · outbound

This paper cites Robot motion planning in learned latent spaces.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Robot motion planning in learned latent spaces

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.175120Z

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Observation f36c5df7-37bf-4458-b25c-1c8c235ba024 · outbound

This paper cites Learning sampling distributions for robot motion planning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Learning sampling distributions for robot motion planning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.163374Z

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Observation 652c32d6-953f-4442-8c52-918f46acb92c · outbound

This paper cites Sampling-based path planning on configuration-space costmaps.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Sampling-based path planning on configuration-space costmaps

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.151610Z

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Observation c67ceb25-e886-471a-9d5d-99cc1bc284cf · outbound

This paper cites Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:26.140172Z

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Observation 84a6b9c8-dcb8-4782-9c92-90b933b7b763 · outbound

This paper cites Stomp: Stochastic trajectory optimization for motion planning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Stomp: Stochastic trajectory optimization for motion planning

Reference 16

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Observation 9c94606e-5a49-4b09-8149-3d5248cf65b6 · outbound

This paper cites Sampling-based algorithms for optimal motion planning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Sampling-based algorithms for optimal motion planning

Reference 17

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Observation 0afa4766-d75a-4c82-9b43-6248198016e8 · outbound

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

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning RRT -connect: An efficient approach to single-query path planning

Reference 18

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Observation bf0e39bc-4c91-4917-92c3-45d6f02e3973 · outbound

This paper cites Lego: Leveraging experience in roadmap generation for sampling-based planning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Lego: Leveraging experience in roadmap generation for sampling-based planning

Reference 19

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This paper cites iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

Reference 20

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Observation a18c5886-aa2e-4cbd-9096-ae918ca88c56 · outbound

This paper cites Learning continuous environment fields via implicit functions.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Learning continuous environment fields via implicit functions

Reference 21

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Observation c08603cc-b943-4be4-bc40-6364f7c36743 · outbound

This paper cites Kinetic energy fields: A solution of riemannian eikonal equation on configuration space manifold.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Kinetic energy fields: A solution of riemannian eikonal equation on configuration space manifold

Reference 22

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Observation 6e74b26f-7591-4b06-bec8-e7a8eeeba3ed · outbound

This paper cites Metric residual network for sample efficient goal-conditioned reinforcement learning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Metric residual network for sample efficient goal-conditioned reinforcement learning

Reference 23

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Observation ce9f2aad-45c2-49b2-9a07-69713c606950 · outbound

This paper cites Physics-informed Neural Mapping and Motion Planning in Unknown Environments.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Physics-informed Neural Mapping and Motion Planning in Unknown Environments

Reference 24

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Observation ea5e2e6f-d078-409b-9793-586ea0516e87 · outbound

This paper cites NTF ields: Neural time fields for physics-informed robot motion planning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning NTF ields: Neural time fields for physics-informed robot motion planning

Reference 25

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Observation d890071c-6b82-471c-a298-8b2e7d97c685 · outbound

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

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Progressive Learning for Physics-informed Neural Motion Planning

Reference 26

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Observation 9d31c4fa-0d08-4486-bf06-66b8bbd51531 · outbound

This paper cites Physics-informed Neural Motion Planning on Constraint Manifolds.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Physics-informed Neural Motion Planning on Constraint Manifolds

Reference 27

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This paper cites Robust & asymptotically locally optimal uav-trajectory generation based on spline subdivision.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Robust & asymptotically locally optimal uav-trajectory generation based on spline subdivision

Reference 28

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Observation f6e8aee0-f138-4eea-8428-7820617717e7 · outbound

This paper cites Learning the geodesic embedding with graph neural networks.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Learning the geodesic embedding with graph neural networks

Reference 29

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Observation 4263a74f-476f-48b7-b95c-08b632e47cd4 · outbound

This paper cites Weighted averages on surfaces.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Weighted averages on surfaces

Reference 30

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Observation bb6a65e9-cbfc-4feb-94a1-d312feee63b6 · outbound

This paper cites An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality

Reference 31

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Observation c97c9521-d73b-4f72-b250-31b92ab76366 · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Pointnext: Revisiting pointnet++ with improved training and scaling strategies

Reference 32

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Observation f506b10e-c435-4494-8c45-790c7a4e7d44 · outbound

This paper cites Deeply informed neural sampling for robot motion planning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Deeply informed neural sampling for robot motion planning

Reference 33

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Observation 6482126d-0ade-4dcc-a4ee-ad36254de20c · outbound

This paper cites Motion planning networks.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Motion planning networks

Reference 34

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This paper cites Motion planning networks: Bridging the gap between learning-based and classical motion planners.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Motion planning networks: Bridging the gap between learning-based and classical motion planners

Reference 35

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Observation be30dba2-c33b-45ba-bab9-872f926e1105 · outbound

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

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Chomp: Gradient optimization techniques for efficient motion planning

Reference 36

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This paper cites Attention Beats Concatenation for Conditioning Neural Fields.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Attention Beats Concatenation for Conditioning Neural Fields

Reference 37

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Observation b96e0d5f-6a3a-4049-a988-b460f2d10d15 · outbound

This paper cites Edmp: Ensemble-of-costs-guided diffusion for motion planning.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Edmp: Ensemble-of-costs-guided diffusion for motion planning

Reference 38

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This paper cites Residual gates: A simple mechanism for improved network optimization.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Residual gates: A simple mechanism for improved network optimization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:25.933625Z

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This paper cites Universal value function approximators.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Universal value function approximators

Reference 40

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This paper cites A fast marching level set method for monotonically advancing fronts.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning A fast marching level set method for monotonically advancing fronts

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:25.915483Z

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Observation bb658efe-23b8-4fa1-93b1-bd143d0f9c58 · outbound

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

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Pc-planner: Physics-constrained self-supervised learning for robust neural motion planning with shape-aware distance function

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:25.904360Z

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This paper cites Transformation invariance in pattern recognition—tangent distance and tangent propagation.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Transformation invariance in pattern recognition—tangent distance and tangent propagation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:25.892498Z

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Observation ff5b45fa-9320-41de-a70d-0cc2f8246daa · outbound

This paper cites Reinforcement learning: An introduction.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Reinforcement learning: An introduction

Reference 44

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This paper cites Upwind finite-difference calculation of traveltimes.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Upwind finite-difference calculation of traveltimes

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:25.875123Z

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Observation 17f263af-571f-4a03-a8e3-a333fc482b51 · outbound

This paper cites Attention is all you need.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Attention is all you need

Reference 46

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This paper cites Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Reference 47

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Observation ccc65d77-bf5d-4be6-8353-6d07b10b95ef · outbound

This paper cites Neural kinematic networks for unsupervised motion retargetting.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Neural kinematic networks for unsupervised motion retargetting

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:25.855877Z

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Observation 3bb00cd5-8120-4875-b3d6-d5fc5a14b606 · outbound

This paper cites Understanding and mitigating gradient flow pathologies in physics-informed neural networks.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Understanding and mitigating gradient flow pathologies in physics-informed neural networks

Reference 49

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Observation ba88b6d7-7758-4cac-8410-7b33b29988bc · outbound

This paper cites PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

Reference 50

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This paper cites Respecting causality for training physics-informed neural networks.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Respecting causality for training physics-informed neural networks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T23:10:25.464315Z

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Observation 126545e5-7f15-4ad2-acfb-d8f7405422b8 · outbound

This paper cites Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings

Reference 52

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Physics-informed Temporal Difference Metric Learning for Robot Motion Planning On the Learning and Learnability of Quasimetrics

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Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Optimal goal-reaching reinforcement learning via quasimetric learning

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

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

Reference 55

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This paper cites Aggressive driving with model predictive path integral control.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Aggressive driving with model predictive path integral control

Reference 56

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Physics-informed Temporal Difference Metric Learning for Robot Motion Planning iplanner: Imperative path planning

Reference 57

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Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Path planning using neural a* search

Reference 58

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This paper cites Graphmp: Graph neural network-based motion planning with efficient graph search.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Graphmp: Graph neural network-based motion planning with efficient graph search

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:10:25.801546Z

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This paper cites Learning Invariant Representations for Reinforcement Learning without Reconstruction.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Learning Invariant Representations for Reinforcement Learning without Reconstruction

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Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Point transformer

Reference 61

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This paper cites @esa (Ref.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning @esa (Ref

Reference 62

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Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Unresolved cited work

Reference 63

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Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Unresolved cited work

Reference 64

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Pith citing papers

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Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Physics-informed Temporal Difference Metric Learning for Robot Motion Planning

Reference 192

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Mollified Value Learning cites this paper.

Mollified Value Learning Physics-informed Temporal Difference Metric Learning for Robot Motion Planning

Reference 9

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