Paper Citation Record · LEDGER

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures

As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 4 inbound Pith citation observations for arXiv:2504.17857.

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

pith.paper-citation-record.v1
2504.17857 v3

Coverage vector

measured 51 of 51 reference resolution

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One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:24:01.004152Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:52:37.979699Z

Reference resolution

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation e61ff5ab-66e9-4618-8597-bf3017b09f78 · outbound

This paper cites Boston Dynamics.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Boston Dynamics

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.411403Z

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Observation 7774cf65-9bda-43bf-b3b2-c004f6d83d8c · outbound

This paper cites [Online].

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures [Online]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.396805Z

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Observation ed60f90b-b5c2-4084-838e-0bc9aa3480b3 · outbound

This paper cites [Online].

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures [Online]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.383449Z

Source-reported events for the cited work

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Observation 1c883275-e383-4160-b831-64994ac3c5b4 · outbound

This paper cites Boston Dynamics.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Boston Dynamics

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.370259Z

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Observation 5d3dc23e-8b22-4b2f-aa6a-040e26202fd7 · outbound

This paper cites Boston Dynamics.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Boston Dynamics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.356804Z

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Observation 4f047921-8809-4a90-adbe-1e7ff639c2b0 · outbound

This paper cites Domanico.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Domanico

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.343828Z

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Observation 73935ede-48d0-4ed3-9b23-039366f5e8e3 · outbound

This paper cites Mit cheetah 3: Design and control of a robust, dynamic quadruped robot,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Mit cheetah 3: Design and control of a robust, dynamic quadruped robot,

Reference 7

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Source-reported events for the cited work

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Observation 1b6819f2-77d3-4612-91ec-bffebaf95991 · outbound

This paper cites Design of hyq–a hydraulically and electrically actuated quadruped robot,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Design of hyq–a hydraulically and electrically actuated quadruped robot,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.319891Z

Source-reported events for the cited work

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Observation 2b648160-cc1b-41ae-a9c6-847b72d5b67e · outbound

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

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Anymal-a highly mobile and dynamic quadrupedal robot,

Reference 9

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Source-reported events for the cited work

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Observation dc16cc9b-ca55-48c5-a45f-6bb86780305b · outbound

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

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Dynamic locomotion in the mit cheetah 3 through convex model-predictive control,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:34:47.578428Z

Source-reported events for the cited work

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Observation 46a0d6ca-f1ef-424f-b4c2-ab0797450502 · outbound

This paper cites Real-time motion planning of legged robots: A model predictive control approach,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Real-time motion planning of legged robots: A model predictive control approach,

Reference 11

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Observation b58594b9-4b87-4611-a85a-8d68afc8b126 · outbound

This paper cites Dynamic locomotion and whole-body control for quadrupedal robots,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Dynamic locomotion and whole-body control for quadrupedal robots,

Reference 12

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Observation 5b5cc935-673c-427b-88c1-6649c7f2e872 · outbound

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

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Learning agile and dynamic motor skills for legged robots,

Reference 13

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Observation d20d3d53-af5c-4156-b085-43a4a629459c · outbound

This paper cites Rapid locomotion via reinforcement learning,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Rapid locomotion via reinforcement learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:34:47.596150Z

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Observation deff04f7-7ad5-44d7-b42c-ba39b2088ed7 · outbound

This paper cites Anymal parkour: Learning agile navigation for quadrupedal robots,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Anymal parkour: Learning agile navigation for quadrupedal robots,

Reference 15

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Source-reported events for the cited work

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Observation 417664b8-92aa-4cbe-8dde-29c3f73ca7a1 · outbound

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

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Learning to walk in minutes using massively parallel deep reinforcement learning,

Reference 16

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Observation 5033f84a-1c45-410b-a37c-54d7e69efbef · outbound

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

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Concurrent training of a control policy and a state estimator for dynamic and robust legged locomotion,

Reference 17

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Source-reported events for the cited work

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Observation 48f4a069-af48-44b5-9cb2-9e58d9caf3db · outbound

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

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures RMA: Rapid Motor Adaptation for Legged Robots

Reference 18

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Observation 906b9c94-ca0f-4fde-bedb-4ccdfef34546 · outbound

This paper cites Actuator-Constrained Reinforcement Learning for High-Speed Quadrupedal Locomotion.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Actuator-Constrained Reinforcement Learning for High-Speed Quadrupedal Locomotion

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:34:47.617273Z

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Observation 39260b76-9595-4cac-b214-f5fdeba013b8 · outbound

This paper cites Robot learning from randomized simulations: A review,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Robot learning from randomized simulations: A review,

Reference 20

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Observation b2f1eeca-cc06-409a-9e90-d8f9432ae4ed · outbound

This paper cites Feedback control for cassie with deep reinforcement learning,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Feedback control for cassie with deep reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.213573Z

Source-reported events for the cited work

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Observation 946f0d13-1d8b-4e6c-8e7c-04d7f0aa05a7 · outbound

This paper cites Policy transfer via kinematic domain randomization and adaptation,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Policy transfer via kinematic domain randomization and adaptation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.199252Z

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Observation 9de06589-a0b0-4f0d-aa98-e66b38f52adb · outbound

This paper cites Reinforcement learning for robust parameterized locomotion control of bipedal robots,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Reinforcement learning for robust parameterized locomotion control of bipedal robots,

Reference 23

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Observation e417f7e4-5d7a-4a35-95b8-9331420e26f5 · outbound

This paper cites Sim2real transfer for reinforcement learning without dynamics randomization,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Sim2real transfer for reinforcement learning without dynamics randomization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.176952Z

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Observation 7536fa8d-0eff-4434-b1ce-27d3f1bfb68a · outbound

This paper cites Estimation of inertial parameters of rigid body links of manipulators,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Estimation of inertial parameters of rigid body links of manipulators,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.162613Z

Source-reported events for the cited work

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Observation 74afa7bc-cb13-43c1-a9ab-46699c4ad9ed · outbound

This paper cites Geometric robot dynamic identification: A convex programming approach,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Geometric robot dynamic identification: A convex programming approach,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.148935Z

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Observation e986502e-b79d-4e7a-8b63-75c0cc8433e3 · outbound

This paper cites Pros and cons of gan evaluation measures,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Pros and cons of gan evaluation measures,

Reference 27

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Observation 81ced21a-467d-4979-acd4-3326aed28374 · outbound

This paper cites The wasserstein distance and approximation the- orems,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures The wasserstein distance and approximation the- orems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.126874Z

Source-reported events for the cited work

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Observation 6d0b83f9-3719-4d27-9414-8866faa2c88b · outbound

This paper cites Training generative neural networks via Maximum Mean Discrepancy optimization.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Training generative neural networks via Maximum Mean Discrepancy optimization

Reference 29

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Observation 6d31e23f-2c8c-4f11-837d-296c72fa2e93 · outbound

This paper cites Amp: Adversarial motion priors for stylized physics-based character con- trol,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Amp: Adversarial motion priors for stylized physics-based character con- trol,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:34:47.665981Z

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Observation 7de43baa-1f93-4ac1-b8aa-971bd91a5440 · outbound

This paper cites Learning agile skills via adversarial imitation of rough partial demonstrations,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Learning agile skills via adversarial imitation of rough partial demonstrations,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.103810Z

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Observation 9c1c3968-96e1-49ee-b1de-a143b6686173 · outbound

This paper cites Knowl- edge transfer across imaging modalities via simultaneous learning of adaptive autoencoders for high-fidelity mobile robot vision,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Knowl- edge transfer across imaging modalities via simultaneous learning of adaptive autoencoders for high-fidelity mobile robot vision,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.090179Z

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This paper cites an unresolved cited work.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:34:48.076505Z

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Observation 7b4ecbfe-a42b-410b-9fd9-cde075b119d1 · outbound

This paper cites About the nyquist frequency,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures About the nyquist frequency,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.062953Z

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Observation 429ececc-51bf-41b6-a2ce-6624231d878f · outbound

This paper cites Simulation-based design of dynamic controllers for humanoid balancing,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Simulation-based design of dynamic controllers for humanoid balancing,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.049548Z

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Observation 10abcb00-3956-4279-8f7e-f767af486008 · outbound

This paper cites Sim-to-Real: Learning Agile Locomotion For Quadruped Robots.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

Reference 36

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Observation 4509a04b-f695-4743-acba-78c3c3bcf1c4 · outbound

This paper cites Sim-to-real via sim- to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Sim-to-real via sim- to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.035832Z

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Observation bfb76f5e-d700-4dc6-a6ff-29b7ac6cc24d · outbound

This paper cites Learning inertial odometry for dynamic legged robot state estimation,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Learning inertial odometry for dynamic legged robot state estimation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.022122Z

Source-reported events for the cited work

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Observation 3961aa89-e1a9-4086-a0bf-379f9e5c9795 · outbound

This paper cites Starleth & co.: Design and control of legged robots with compliant actuation,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Starleth & co.: Design and control of legged robots with compliant actuation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:48.008451Z

Source-reported events for the cited work

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Observation 4497228d-2a20-4b47-9ed8-f3660a537a1a · outbound

This paper cites Mini cheetah: A platform for push- ing the limits of dynamic quadruped control,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Mini cheetah: A platform for push- ing the limits of dynamic quadruped control,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.994744Z

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Observation 8e6a2a03-3b43-4c1b-ac64-a90bc8b10896 · outbound

This paper cites Tutorial cma-es: evolution strategies and covariance matrix adaptation,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Tutorial cma-es: evolution strategies and covariance matrix adaptation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.981037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76afa3df-c89e-4642-a686-86da959f8d09 · outbound

This paper cites Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning

Reference 42

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This paper cites Simulation aided co-design for robust robot optimization,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Simulation aided co-design for robust robot optimization,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.967050Z

Source-reported events for the cited work

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Observation 6279070a-1439-48a6-8091-fb8832c85d54 · outbound

This paper cites Multiple task optimization with a mixture of controllers for motion generation,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Multiple task optimization with a mixture of controllers for motion generation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.953762Z

Source-reported events for the cited work

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Observation 6e58ba1b-feab-4aec-860c-e158e77d7edf · outbound

This paper cites Kicking motion planning of nao robots based on cma-es,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Kicking motion planning of nao robots based on cma-es,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.939834Z

Source-reported events for the cited work

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Observation c56abdfb-0489-4bd7-9572-4f3ed61b6120 · outbound

This paper cites Orbit: A unified simulation framework for interactive robot learning environments,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Orbit: A unified simulation framework for interactive robot learning environments,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.925595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation baa34c9d-8544-4d04-9c62-667c1b05e36f · outbound

This paper cites an unresolved cited work.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:34:47.912271Z

Source-reported events for the cited work

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Observation 6981ee42-a225-40d3-8c70-094b3dae6763 · outbound

This paper cites Robotic Systems Lab.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Robotic Systems Lab

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.898554Z

Source-reported events for the cited work

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Observation 3dd07f4a-83f6-403f-8402-b50dcc8481eb · outbound

This paper cites A survey of actor-critic reinforcement learning: Standard and natural policy gradients,.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures A survey of actor-critic reinforcement learning: Standard and natural policy gradients,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.885185Z

Source-reported events for the cited work

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Observation b2ba19a0-92fa-4c33-8bf2-01320d3adc1f · outbound

This paper cites Proximal Policy Optimization Algorithms.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Proximal Policy Optimization Algorithms

Reference 50

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Source-reported events for the cited work

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Observation 46ff918a-8c34-4863-bdd5-5b1a7408d52f · outbound

This paper cites Boston Dynamics.

High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures Boston Dynamics

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:34:47.870034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation e639ffae-9b1f-45cd-9c1f-a2c2a1045d61 · inbound

Towards bridging the gap: Systematic sim-to-real transfer for diverse legged robots cites this paper.

Towards bridging the gap: Systematic sim-to-real transfer for diverse legged robots High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T16:24:01.004152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6063e40d-8e20-4b72-ae92-a7416c55c41e · inbound

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning cites this paper.

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:22:52.729902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 838aa872-209c-4534-93c4-d353e38d1a9b · inbound

Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control cites this paper.

Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-03T19:16:27.534748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ae5f6f-f69c-4512-a5bb-dc682dbf926c · inbound

Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It) cites this paper.

Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It) High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional Measures

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:52:37.981273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.