Paper Citation Record · LEDGER

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.03949.

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

pith.paper-citation-record.v1
2412.03949 v1

Coverage vector

measured 35 of 35 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 5be22698-b7c1-44f9-a128-803abd740529 · outbound

This paper cites Mobility and aging: new directions for public health action,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Mobility and aging: new directions for public health action,

Reference 1

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Observation c4e3b015-bb8c-41a5-9bb0-89ecb2f2c40e · outbound

This paper cites Mobility in older adults: a comprehensive framework,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Mobility in older adults: a comprehensive framework,

Reference 2

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Observation fb6aa39a-4992-4f7c-8b29-ca866b9e68de · outbound

This paper cites Disability and health data system (dhds),.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Disability and health data system (dhds),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.929773Z

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Observation a1be4222-a0c6-4597-88f0-752b7ca97ea9 · outbound

This paper cites Mobility difficulties are not only a problem of old age,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Mobility difficulties are not only a problem of old age,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.921808Z

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Observation 0b4a283d-4308-4caf-b3d1-0059f2ac1229 · outbound

This paper cites Gait analysis methods in rehabilitation,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Gait analysis methods in rehabilitation,

Reference 5

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Observation 829a3945-2c69-44df-9c2d-8d321c0b291e · outbound

This paper cites Opensim: open-source soft- ware to create and analyze dynamic simulations of movement,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Opensim: open-source soft- ware to create and analyze dynamic simulations of movement,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.907661Z

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Observation a882ca11-36e9-4b59-a70c-8afee1f6536e · outbound

This paper cites A survey on digital twin: Definitions, characteristics, applications, and design implications,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation A survey on digital twin: Definitions, characteristics, applications, and design implications,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.898960Z

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Observation 56ea7f4b-5887-464d-8692-b9ac07b6799a · outbound

This paper cites An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures,

Reference 8

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Observation c8aca824-8656-4ba8-b071-7851807840ab · outbound

This paper cites Predicting gait adaptations due to ankle plantarflexor muscle weakness and contracture using physics-based musculoskeletal simulations,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Predicting gait adaptations due to ankle plantarflexor muscle weakness and contracture using physics-based musculoskeletal simulations,

Reference 9

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Source-reported events for the cited work

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Observation d50a7059-a77f-4a65-b731-9da430e9b253 · outbound

This paper cites Optimal control based stiffness identification of an ankle-foot orthosis using a predictive walking model,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Optimal control based stiffness identification of an ankle-foot orthosis using a predictive walking model,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.874440Z

Source-reported events for the cited work

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Observation b323f139-b825-4e32-bc20-9f651d888ec3 · outbound

This paper cites Learning a control policy for fall prevention on an assistive walking device,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Learning a control policy for fall prevention on an assistive walking device,

Reference 11

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Observation a008236f-b510-4492-b977-52d711c6ba92 · outbound

This paper cites A lightweight robotic leg prosthesis replicating the biomechanics of the knee, ankle, and toe joint,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation A lightweight robotic leg prosthesis replicating the biomechanics of the knee, ankle, and toe joint,

Reference 12

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Observation bd1692d4-7dad-44db-a4d7-9933b3607c7b · outbound

This paper cites The effect of hip assistance levels on human energetic cost using robotic hip exoskeletons,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation The effect of hip assistance levels on human energetic cost using robotic hip exoskeletons,

Reference 13

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Observation 518bd505-e358-43dd-b2f3-a25d8d7cd62e · outbound

This paper cites Crossing the reality gap: A survey on sim-to-real transferability of robot controllers in reinforcement learning,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Crossing the reality gap: A survey on sim-to-real transferability of robot controllers in reinforcement learning,

Reference 14

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Observation f76e6698-78ef-4603-b149-8b2bdbe4bddf · outbound

This paper cites Exploring the sim2real gap using digital twins,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Exploring the sim2real gap using digital twins,

Reference 15

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Observation d79df9fd-6b02-4d6e-b709-6540b22720ac · outbound

This paper cites Analysis of musculoskeletal systems in the anybody modeling system,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Analysis of musculoskeletal systems in the anybody modeling system,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.483637Z

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Observation c584b9cf-7f42-447f-a56a-091d1314c86e · outbound

This paper cites MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control

Reference 17

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Observation ac542cdc-a4af-4bee-8f7a-97b66e9a83bd · outbound

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

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Mujoco: A physics engine for model-based control,

Reference 18

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Observation b2dd36d9-ac47-47b9-9755-9343e9bf32dc · outbound

This paper cites Markerless motion capture through visual hull, articu- lated icp and subject specific model generation,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Markerless motion capture through visual hull, articu- lated icp and subject specific model generation,

Reference 19

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Observation 5b0321c7-cd19-4002-9302-ded57a4e777a · outbound

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

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 20

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Observation 90de4644-f46a-4160-a92d-af50c6070a8f · outbound

This paper cites Deepmimic: Example-guided deep reinforcement learning of physics-based char- acter skills,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Deepmimic: Example-guided deep reinforcement learning of physics-based char- acter skills,

Reference 21

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This paper cites Opensim moco: Musculoskeletal optimal control,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Opensim moco: Musculoskeletal optimal control,

Reference 22

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Observation 8031af6a-06b8-47bd-8583-56901a542403 · outbound

This paper cites Reinforcement learning for control of human locomotion in simulation,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Reinforcement learning for control of human locomotion in simulation,

Reference 23

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Observation 93fd818b-4b1c-4791-b214-e705a97f09f1 · outbound

This paper cites Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

Reference 24

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This paper cites A compre- hensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transi- tions,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation A compre- hensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transi- tions,

Reference 25

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Observation 2a5f23c3-ea14-4764-8f53-4b8a7e97183e · outbound

This paper cites LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion

Reference 26

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Observation 4ee64a9b-c70e-4bba-a0c3-4f91a1a54c72 · outbound

This paper cites Muscle contributions to propulsion and support during running,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Muscle contributions to propulsion and support during running,

Reference 27

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This paper cites Benchmark datasets for bi- lateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Benchmark datasets for bi- lateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals,

Reference 28

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Observation cefd6b46-7647-4487-89bb-b2b9733091b2 · outbound

This paper cites Human kinematic, kinetic and emg data during level walking, toe/heel-walking, stairs ascending/descending,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Human kinematic, kinetic and emg data during level walking, toe/heel-walking, stairs ascending/descending,

Reference 29

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Observation b2362eb8-16e8-4c12-897e-4823c593fcb1 · outbound

This paper cites Lower limb kinematic, kinetic, and emg data from young healthy humans during walking at controlled speeds,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Lower limb kinematic, kinetic, and emg data from young healthy humans during walking at controlled speeds,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.401613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6fa5f8c-2827-46e7-85b0-169a09af8e85 · outbound

This paper cites Generative adversarial net- works,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Generative adversarial net- works,

Reference 31

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Source-reported events for the cited work

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Observation 3b61bf21-a600-400d-b948-f50c2d7fe588 · outbound

This paper cites Trust Region Policy Optimization.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Trust Region Policy Optimization

Reference 32

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This paper cites Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models

Reference 33

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Observation 3a087875-e7ab-4f95-8b53-449cd3bb49ed · outbound

This paper cites Creation and evaluation of human models with varied walking ability from motion capture for assistive device development,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Creation and evaluation of human models with varied walking ability from motion capture for assistive device development,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.258000Z

Source-reported events for the cited work

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Observation 3cd5fa95-d268-47b8-87a6-ee37cf8e73d6 · outbound

This paper cites Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation,.

Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:58:43.182448Z

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Pith citing papers

No inbound Pith citation observations are available.