Paper Citation Record · LEDGER

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.01243.

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

pith.paper-citation-record.v1
2507.01243 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:23.080991Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

29 of 29 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 207c1f1e-2712-47c9-9e46-ec7fae8c15de · outbound

This paper cites Advances in real-world applications for legged robots,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Advances in real-world applications for legged robots,

Reference 1

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Observation 1e7fa7dc-77fb-4202-955b-d5efbf3f30d6 · outbound

This paper cites Mul- timodality robotic systems: Integrated combined legged-aerial mobility for subterranean search-and-rescue,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Mul- timodality robotic systems: Integrated combined legged-aerial mobility for subterranean search-and-rescue,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.364797Z

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Observation 17ff5c4a-b7cc-4821-9c1a-3a5a8d7e3d94 · outbound

This paper cites Extreme parkour with legged robots,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Extreme parkour with legged robots,

Reference 3

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Observation e9f1078d-e6b1-448b-9c67-2171d6b2e2f1 · outbound

This paper cites Learning agile loco- motion on risky terrains,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Learning agile loco- motion on risky terrains,

Reference 4

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Observation bed6b29f-3083-4e9b-958b-20281d7114dc · outbound

This paper cites an unresolved cited work.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation 6a290992-2881-4971-b111-2b0b59fe03c5 · outbound

This paper cites RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion RAMBO: RL-Augmented Model-Based Whole-Body Control for Loco-Manipulation

Reference 6

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Observation 667ec2e9-c92b-4066-abdf-6f38513a0ee1 · outbound

This paper cites Enhance generality by model-based reinforcement learning and domain ran- domization,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Enhance generality by model-based reinforcement learning and domain ran- domization,

Reference 7

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Observation e7f409b2-635d-4cb1-84c1-300bc95dee64 · outbound

This paper cites Transferable latent-to-latent locomotion policy for efficient and versatile motion control of diverse legged robots,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Transferable latent-to-latent locomotion policy for efficient and versatile motion control of diverse legged robots,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.325185Z

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Observation 2a1231c0-d1a6-458d-ab58-4e0de58ff4db · outbound

This paper cites Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Walking with Terrain Reconstruction: Learning to Traverse Risky Sparse Footholds

Reference 9

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Observation 738e41a1-d545-49d5-82b4-14f42f0fb23e · outbound

This paper cites Learning robust perceptive locomotion for quadrupedal robots in the wild,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Learning robust perceptive locomotion for quadrupedal robots in the wild,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:23.013186Z

Source-reported events for the cited work

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Observation cf82c1ac-f8d7-4402-88f2-1bb5ead01272 · outbound

This paper cites Learning quadrupedal locomotion over challenging terrain,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Learning quadrupedal locomotion over challenging terrain,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:23.016577Z

Source-reported events for the cited work

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Observation b159802d-1622-4ad1-8f48-a5ec6ae7bccd · outbound

This paper cites World Model-based Perception for Visual Legged Locomotion.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion World Model-based Perception for Visual Legged Locomotion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:23.019808Z

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Observation 9a5ebd54-e6e5-4941-94b1-7e6855224a26 · outbound

This paper cites Underactuated robotics: Learning, planning, and control for efficient and agile machines course notes for mit 6.832,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Underactuated robotics: Learning, planning, and control for efficient and agile machines course notes for mit 6.832,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.303699Z

Source-reported events for the cited work

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Observation 2e6c2e7c-9598-46aa-87ca-b1649748a032 · outbound

This paper cites Task- space riccati feedback based whole body control for underactuated legged locomotion,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Task- space riccati feedback based whole body control for underactuated legged locomotion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.292221Z

Source-reported events for the cited work

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Observation 8bb46dcd-0f65-4358-910f-ab8a7f1c2034 · outbound

This paper cites Meta-learning for fast adaptive locomotion with uncertainties in environments and robot dynamics,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Meta-learning for fast adaptive locomotion with uncertainties in environments and robot dynamics,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.281508Z

Source-reported events for the cited work

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Observation 5e38a46e-3ad0-481f-9ce3-8248d8eeb74a · outbound

This paper cites Multi-task learning of active fault-tolerant controller for leg failures in quadruped robots,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Multi-task learning of active fault-tolerant controller for leg failures in quadruped robots,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.270172Z

Source-reported events for the cited work

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Observation 686fa5c2-0143-49e5-b990-cfc021141c22 · outbound

This paper cites Towards fault-tolerant quadruped loco- motion with reinforcement learning,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Towards fault-tolerant quadruped loco- motion with reinforcement learning,

Reference 17

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Source-reported events for the cited work

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Observation eb4bccf0-ddf5-41a6-b841-abdbca8e357e · outbound

This paper cites AcL: Action Learner for Fault-Tolerant Quadruped Locomotion Control.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion AcL: Action Learner for Fault-Tolerant Quadruped Locomotion Control

Reference 18

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Observation baa69d99-e1ef-4b4a-9731-a0494ebeeb67 · outbound

This paper cites Learning agile bipedal motions on a quadrupedal robot,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Learning agile bipedal motions on a quadrupedal robot,

Reference 19

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Observation 5b65ffd7-531f-4db3-ad33-0a3324c63738 · outbound

This paper cites Jump-start reinforcement learning,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Jump-start reinforcement learning,

Reference 20

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Observation c87caecf-8fc2-452c-91c0-994b55a6ac82 · outbound

This paper cites Rocket landing control with random annealing jump start reinforcement learning,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Rocket landing control with random annealing jump start reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.230664Z

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Observation 13f8c0da-abad-4a74-b4eb-239cb619301b · outbound

This paper cites A transformation-aggregation framework for state representation of au- tonomous driving systems,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion A transformation-aggregation framework for state representation of au- tonomous driving systems,

Reference 22

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Observation 8c8cfcea-1aa9-49d7-b01f-65d0c2271982 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Proximal Policy Optimization Algorithms

Reference 23

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Observation 1bbec26f-7f33-43af-89ea-c631f63a1b6e · outbound

This paper cites High- dimensional continuous control using generalized advantage estima- tion,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion High- dimensional continuous control using generalized advantage estima- tion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.210997Z

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Observation 560a2264-f893-4870-ad32-c0098e70c677 · outbound

This paper cites Isaac gym: High performance gpu based physics simulation for robot learning,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Isaac gym: High performance gpu based physics simulation for robot learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.202266Z

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Observation 9e525617-bb5d-4429-8e91-080d52d0f5e2 · outbound

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

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Orbit: A unified simulation framework for interactive robot learning environments,

Reference 26

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Observation 0256d215-b7f8-48e0-a852-8507255aa5b9 · outbound

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

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Learning to walk in minutes using massively parallel deep reinforcement learning,

Reference 27

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Observation d45a85db-94f9-4a42-87c8-444dd2a25df7 · outbound

This paper cites Conformal symplectic optimization for stable reinforcement learn- ing,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Conformal symplectic optimization for stable reinforcement learn- ing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:02:23.180721Z

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Observation dbb77371-d61c-4121-ae43-2484292816f1 · outbound

This paper cites Curriculum-based reinforcement learning for quadrupedal jumping: A reference-free design,.

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion Curriculum-based reinforcement learning for quadrupedal jumping: A reference-free design,

Reference 29

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