Paper Citation Record · LEDGER

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2504.19322.

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

pith.paper-citation-record.v1
2504.19322 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:59:19.469553Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T23:13:16.351126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T23:13:16.577896Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 122a5774-a52f-45c2-8df9-58a15045356a · outbound

This paper cites Theodorou.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Theodorou

Reference 1

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Observation cd50ce4f-79ae-473a-955e-b42389cb9179 · outbound

This paper cites Learning inverse kinodynamics for accurate high-speed off-road navigation on unstructured terrain.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learning inverse kinodynamics for accurate high-speed off-road navigation on unstructured terrain

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:59:19.319839Z

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Observation 279f2091-556a-478c-ad0b-f9660aee5d2f · outbound

This paper cites Cahsor: Competence-aware high-speed off- road ground navigation in se (3).

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Cahsor: Competence-aware high-speed off- road ground navigation in se (3)

Reference 3

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Observation 4a9e5f2f-0e01-4037-8476-930b10d99a7d · outbound

This paper cites Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road Driving.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Dynamics Modeling using Visual Terrain Features for High-Speed Autonomous Off-Road Driving

Reference 4

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Observation 34bd8596-edda-4b27-b56d-af83704b6446 · outbound

This paper cites Learning forward dynamics model and informed trajectory sampler for safe quadruped navigation.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learning forward dynamics model and informed trajectory sampler for safe quadruped navigation

Reference 5

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Observation af801ac3-dbdd-4df6-b83c-e67c2b493417 · outbound

This paper cites Duong, Abdullah Altawaitan, Jason Stanley, and Nikolay Atanasov.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Duong, Abdullah Altawaitan, Jason Stanley, and Nikolay Atanasov

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.337615Z

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Observation 1cb0b280-8ce2-41f3-be5c-047288ecbc37 · outbound

This paper cites Badgr: An autonomous self-supervised learning-based navigation system.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Badgr: An autonomous self-supervised learning-based navigation system

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.323394Z

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Observation 2d5af521-f985-4d71-a405-bbe4fcfd257d · outbound

This paper cites Combining physics and deep learning to learn continuous-time dynamics models.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Combining physics and deep learning to learn continuous-time dynamics models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.310548Z

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Observation 508c73f9-fec4-4101-bfb9-0ca5e75b1734 · outbound

This paper cites Lagrangian neural networks.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Lagrangian neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.297913Z

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Observation 733758e0-2784-4bd2-bf90-4c0dc13aa860 · outbound

This paper cites Modeling system dynamics with physics-informed neural networks based on lagrangian mechanics.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Modeling system dynamics with physics-informed neural networks based on lagrangian mechanics

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.285909Z

Source-reported events for the cited work

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Observation b847a6a2-3b73-4c1f-a145-fb6cd9cad5bb · outbound

This paper cites Bridging active exploration and uncertainty-aware deployment using probabilistic ensemble neural network dynamics.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Bridging active exploration and uncertainty-aware deployment using probabilistic ensemble neural network dynamics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.273865Z

Source-reported events for the cited work

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Observation 84ad91d4-a1b0-42df-90eb-6f1aac70fd8a · outbound

This paper cites Learning terrain-aware kinodynamic model for autonomous off-road rally driving with model predictive path integral control.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learning terrain-aware kinodynamic model for autonomous off-road rally driving with model predictive path integral control

Reference 12

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Observation f8ea529c-f73a-461b-951b-2440bcb21955 · outbound

This paper cites Pilco: A model- based and data-efficient approach to policy search.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Pilco: A model- based and data-efficient approach to policy search

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.253190Z

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Observation f8972754-65ff-4aa7-8a49-935c091131c4 · outbound

This paper cites Learning neural net- work policies with guided policy search under unknown dynamics.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learning neural net- work policies with guided policy search under unknown dynamics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.241528Z

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Observation 3d145ee8-857b-4eee-808a-0a2ef53ad428 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.229824Z

Source-reported events for the cited work

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Observation a17dbcab-2817-4d1b-b9ac-55c2be762a83 · outbound

This paper cites Pose prediction for mobile ground robots in uneven terrain based on difference of heightmaps.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Pose prediction for mobile ground robots in uneven terrain based on difference of heightmaps

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.218336Z

Source-reported events for the cited work

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Observation 4b88cc4c-1f73-4b3c-990a-58e6b502632f · outbound

This paper cites Navigation World Models.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Navigation World Models

Reference 17

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Observation d44cc5f2-f227-42a4-a596-4c1d870d7452 · outbound

This paper cites Identifying terrain physical parameters from vision-towards physical-parameter-aware locomotion and navigation.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Identifying terrain physical parameters from vision-towards physical-parameter-aware locomotion and navigation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.206874Z

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Observation 68c486d3-72ac-4977-9ee7-55d719af63a9 · outbound

This paper cites Dream to control: Learning behaviors by latent imagination.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Dream to control: Learning behaviors by latent imagination

Reference 19

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Observation 15910445-3047-4579-ad1c-0fb97a5de722 · outbound

This paper cites Td-mpc2: Scalable, robust world models for continuous control.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Td-mpc2: Scalable, robust world models for continuous control

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.183063Z

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Observation 6a83acd5-ebf7-4b5c-b7f2-275df80b4157 · outbound

This paper cites Nomad: Goal masked diffusion policies for navigation and exploration.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Nomad: Goal masked diffusion policies for navigation and exploration

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.170875Z

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Observation aae28cb6-6545-44b1-a842-29ba9708a457 · outbound

This paper cites Risk-predictive planning for off-road autonomy.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Risk-predictive planning for off-road autonomy

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.158063Z

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Observation bea082fd-84fe-47cf-93ba-9dacbb0e52d4 · outbound

This paper cites Terrainnet: Visual modeling of complex terrain for high-speed, off- road navigation.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Terrainnet: Visual modeling of complex terrain for high-speed, off- road navigation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.146069Z

Source-reported events for the cited work

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Observation 8d83354e-cc68-4203-8861-921ee212dcb1 · outbound

This paper cites Fast traversability estimation for wild visual navigation.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Fast traversability estimation for wild visual navigation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.134060Z

Source-reported events for the cited work

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Observation c61d3f26-bb6f-4731-8a10-8188827c3001 · outbound

This paper cites How does it feel? self-supervised costmap learning for off-road vehicle traversability.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation How does it feel? self-supervised costmap learning for off-road vehicle traversability

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.122780Z

Source-reported events for the cited work

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Observation 72dca785-30de-4586-8a75-f0f89d75a1b4 · outbound

This paper cites Artplanner: Robust legged robot navigation in the field.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Artplanner: Robust legged robot navigation in the field

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.110739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dfd3d63a-89f4-4815-89e8-da84114f95f0 · outbound

This paper cites An efficient locally reactive controller for safe navigation in visual teach and repeat missions.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation An efficient locally reactive controller for safe navigation in visual teach and repeat missions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.098643Z

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Observation fa95bd81-9fd4-4105-922c-994e5da88ede · outbound

This paper cites Learning ground traversability from simulations.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learning ground traversability from simulations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.086456Z

Source-reported events for the cited work

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Observation d6e0d9f9-1163-4aff-b915-7bf8a7ba85fa · outbound

This paper cites Roadrunner m&m - learning multi-range multi-resolution traversability maps for autonomous off-road navigation.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Roadrunner m&m - learning multi-range multi-resolution traversability maps for autonomous off-road navigation

Reference 29

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Observation 775bec97-1190-450d-8912-60531094fa5a · outbound

This paper cites Rough terrain navigation for legged robots using reachability planning and template learning.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Rough terrain navigation for legged robots using reachability planning and template learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.074794Z

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Observation 5d6d1c07-9d79-4fb3-af53-958b298d2138 · outbound

This paper cites Information theoretic mpc for model-based reinforcement learning.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Information theoretic mpc for model-based reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.063311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0cc22b89-b073-478e-96ad-21302c9acc00 · outbound

This paper cites Sample-efficient cross-entropy method for real-time planning.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Sample-efficient cross-entropy method for real-time planning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.050521Z

Source-reported events for the cited work

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Observation 4b0b665c-821f-49a0-acc2-958672f74527 · outbound

This paper cites Viplanner: Visual semantic imperative learning for local navigation.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Viplanner: Visual semantic imperative learning for local navigation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.037336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88247f59-d923-449b-816d-4d331db64578 · outbound

This paper cites iplanner: Imperative path planning.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation iplanner: Imperative path planning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.022352Z

Source-reported events for the cited work

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Observation 6ee6c2da-9336-4104-aa9d-2e5ce03ae6d9 · outbound

This paper cites Learn- ing robust autonomous navigation and locomotion for wheeled-legged robots.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learn- ing robust autonomous navigation and locomotion for wheeled-legged robots

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:20.009912Z

Source-reported events for the cited work

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Observation 04a0774b-e508-4ff9-ab0f-7ad637c6df17 · outbound

This paper cites Learning a state representation and navigation in cluttered and dynamic environments.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learning a state representation and navigation in cluttered and dynamic environments

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:19.996534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 117f0582-fa86-4702-971a-e184c59adfac · outbound

This paper cites Learning agile and dynamic motor skills for legged robots.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learning agile and dynamic motor skills for legged robots

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:19.885747Z

Source-reported events for the cited work

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Observation 495774df-e9f1-4d70-bd34-0a5fa5d0671c · outbound

This paper cites Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:19.873484Z

Source-reported events for the cited work

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Observation 9455a92f-2684-4f1e-bba5-6db8c6188442 · outbound

This paper cites Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs

Reference 39

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Observation 1c865e0a-0470-4901-886c-0818d597d3e0 · outbound

This paper cites Learning to walk in minutes using massively parallel deep reinforcement learning.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Learning to walk in minutes using massively parallel deep reinforcement learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T05:59:19.456390Z

Source-reported events for the cited work

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Observation 630a2895-38ef-4fc3-9bd1-207ed407a909 · outbound

This paper cites Anymal-a highly mobile and dynamic quadrupedal robot.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Anymal-a highly mobile and dynamic quadrupedal robot

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:19.851885Z

Source-reported events for the cited work

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Observation 3c8611f4-3b22-43e8-8771-5537f625deef · outbound

This paper cites Barry: A high-payload and agile quadruped robot.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Barry: A high-payload and agile quadruped robot

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T05:59:19.462904Z

Source-reported events for the cited work

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Observation 31f9f5f3-1f87-4a18-822a-0f79e19884fc · outbound

This paper cites Keep rollin’—whole-body motion control and planning for wheeled quadrupedal robots.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Keep rollin’—whole-body motion control and planning for wheeled quadrupedal robots

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:59:19.838361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7997c75b-60e7-4383-86cf-21328806ff06 · outbound

This paper cites Orbit: A unified simulation framework for in- teractive robot learning environments.

Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation Orbit: A unified simulation framework for in- teractive robot learning environments

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T05:59:19.469553Z

Source-reported events for the cited work

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Pith citing papers

Observation a0074973-e628-486c-b8f5-a1420c16bc22 · inbound

BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion cites this paper.

BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:13:16.580984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2efafc10-d058-4aa4-a78e-12ed28c4a724 · inbound

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC cites this paper.

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:56:27.788712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.