Paper Citation Record · LEDGER

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains

As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.09520.

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

pith.paper-citation-record.v1
2412.09520 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:03:40.187491Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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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External citation measurements

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Outbound references

Observation 4d4080c0-dcbc-445f-88b8-f4a97121e379 · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Learning quadrupedal locomotion over challenging terrain

Reference 1

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Observation 292e0283-5fc4-43fa-b102-9808702cc122 · outbound

This paper cites Learning robust perceptive lo- comotion for quadrupedal robots in the wild.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Learning robust perceptive lo- comotion for quadrupedal robots in the wild

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:42.444828Z

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Observation e58786db-a312-4248-93cf-f8d9cda55ce0 · outbound

This paper cites Learning quadrupedal locomotion on deformable terrain.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Learning quadrupedal locomotion on deformable terrain

Reference 3

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Observation 280df788-3bab-406e-bccb-77624becc1c2 · outbound

This paper cites Curriculum learning receding horizon energy man- agement for quadruped robot.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Curriculum learning receding horizon energy man- agement for quadruped robot

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:42.360062Z

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Observation de88f968-fb45-465a-adb7-5098ba130c0c · outbound

This paper cites Energy consump- tion of trotting gait for a quadruped robot.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Energy consump- tion of trotting gait for a quadruped robot

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:42.307034Z

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Observation 047f5c89-e6ef-4c82-aec7-1aabf84e72c2 · outbound

This paper cites Accurate power consumption estimation method makes walking robots energy efficient and quiet.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Accurate power consumption estimation method makes walking robots energy efficient and quiet

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:42.224826Z

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Observation 9bc8b119-bcdf-4aef-8390-a4dac19ba6fb · outbound

This paper cites Continuous control with deep reinforcement learning.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Continuous control with deep reinforcement learning

Reference 7

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Observation 30445d8d-b56c-4c1d-b30e-d6761812d43f · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 8

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Observation 06b2b105-843a-4cc5-b7cf-523f0bd72617 · outbound

This paper cites Learning torque control for quadrupedal locomotion.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Learning torque control for quadrupedal locomotion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:42.016084Z

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Observation 53064ae1-6b4e-4982-9806-b1cfb7adb8e0 · outbound

This paper cites Walk these ways: Tuning robot control for generalization with multiplicity of behavior.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Walk these ways: Tuning robot control for generalization with multiplicity of behavior

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.926110Z

Source-reported events for the cited work

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Observation 806c3d7a-532f-4e36-8e76-607505ab5d75 · outbound

This paper cites Concurrent training of a control policy and a state estimator for dynamic and robust legged locomotion.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Concurrent training of a control policy and a state estimator for dynamic and robust legged locomotion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.777467Z

Source-reported events for the cited work

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Observation 091ba560-154f-4c1b-8f8d-929f8e7c1faa · outbound

This paper cites Dreamwaq: Learning robust quadrupedal locomotion with implicit terrain imagi- nation via deep reinforcement learning.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Dreamwaq: Learning robust quadrupedal locomotion with implicit terrain imagi- nation via deep reinforcement learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.684954Z

Source-reported events for the cited work

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Observation d5dc3ebd-686f-424a-8cc2-e6e52ada9dd9 · outbound

This paper cites Dynamic locomotion in the mit cheetah 3 through convex model-predictive control.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Dynamic locomotion in the mit cheetah 3 through convex model-predictive control

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.623257Z

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Observation 73aee8d6-b1c2-406f-8a49-7d5e62a0a864 · outbound

This paper cites Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control

Reference 14

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Observation a36c3aec-e793-44cd-aa9c-5795a7584e36 · outbound

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

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Learning to walk in minutes using massively parallel deep reinforcement learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.540389Z

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Observation dbffd57c-2b79-4697-88ab-2150b2f1934f · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 16

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Observation 0a788e10-d6fe-495f-9486-9213908a1b95 · outbound

This paper cites Rapid Locomotion via Reinforcement Learning.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Rapid Locomotion via Reinforcement Learning

Reference 17

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Observation c920994c-8365-4b00-a3eb-05dd86e653aa · outbound

This paper cites Robot Parkour Learning.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Robot Parkour Learning

Reference 18

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Observation ec6b813b-b187-4f06-a7cb-fe481f8f574c · outbound

This paper cites Extreme Parkour with Legged Robots.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Extreme Parkour with Legged Robots

Reference 19

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Observation d0c20943-7b4f-4469-b81e-89bbacd99f46 · outbound

This paper cites Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking

Reference 20

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Source-reported events for the cited work

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Observation 183c0e09-fe7f-40b4-a081-bc0804b89440 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Domain randomization for transferring deep neural networks from simulation to the real world

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.487344Z

Source-reported events for the cited work

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Observation 8b54af4c-3259-4068-be25-030749b7c767 · outbound

This paper cites Active domain randomization.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Active domain randomization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.410890Z

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Observation aab83656-7731-439d-929f-03f3a484429d · outbound

This paper cites RMA: Rapid Motor Adaptation for Legged Robots.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains RMA: Rapid Motor Adaptation for Legged Robots

Reference 23

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Observation ef6f059e-a523-4427-b583-6109f674f674 · outbound

This paper cites Development of the pid controller.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Development of the pid controller

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.347912Z

Source-reported events for the cited work

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Observation 933aadac-6482-412f-95b6-b2881c99e64d · outbound

This paper cites Revisiting the ziegler–nichols step response method for pid control.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Revisiting the ziegler–nichols step response method for pid control

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.269131Z

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Observation 8b3a2752-6bd2-4863-9738-ec20e550eced · outbound

This paper cites Tuning of pid controller using ziegler-nichols method for speed control of dc motor.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Tuning of pid controller using ziegler-nichols method for speed control of dc motor

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.179063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfb306c8-9c34-4286-adec-312fd3d20e78 · outbound

This paper cites Dynamics randomization revisited: A case study for quadrupedal locomotion.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Dynamics randomization revisited: A case study for quadrupedal locomotion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:41.043053Z

Source-reported events for the cited work

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Observation adaf0512-ca9c-4bd3-9b87-f80adaa970db · outbound

This paper cites A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 28

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Observation bebee39d-8169-43bf-8ac8-5bc196c05a6a · outbound

This paper cites Sim- to-real learning of all common bipedal gaits via periodic reward com- position.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Sim- to-real learning of all common bipedal gaits via periodic reward com- position

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:40.940677Z

Source-reported events for the cited work

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Observation 9885770d-e6c9-47f3-8c18-7a69b7cbbcf3 · outbound

This paper cites Asymmetric Actor Critic for Image-Based Robot Learning.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Asymmetric Actor Critic for Image-Based Robot Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T17:03:40.051450Z

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Observation c66dd49f-13be-4942-b8ce-86ec62bf34b4 · outbound

This paper cites Proximal Policy Optimization Algorithms.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains Proximal Policy Optimization Algorithms

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T17:03:40.142547Z

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Observation b29a7ce3-24d8-4eeb-9948-7e45d7939321 · outbound

This paper cites On information and suffi- ciency.

GainAdaptor: Learning Quadrupedal Locomotion with Dual Actors for Adaptable and Energy-Efficient Walking on Various Terrains On information and suffi- ciency

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:03:40.910941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

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