Paper Citation Record · LEDGER

A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2208.07860.

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

pith.paper-citation-record.v1
2208.07860 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:02:50.959705Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:44.516619Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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

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

Resolution: unresolved; no resolver link, observed 2026-08-11T17:03:40.028557Z

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Observation 7c554196-6718-4ebf-8985-26d5af9a0978 · inbound

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization cites this paper.

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T14:25:47.791148Z

Source-reported events for the cited work

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Observation 691abc2e-98b5-4e5c-a791-9e7d5ee60c29 · inbound

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning cites this paper.

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T11:31:10.727780Z

Source-reported events for the cited work

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Observation bc5d08c0-927e-4a52-b7bd-611c58b120dd · inbound

Towards Embodiment Scaling Laws in Robot Locomotion cites this paper.

Towards Embodiment Scaling Laws in Robot Locomotion A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T23:02:50.959705Z

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Observation 8e2158b0-5700-4a09-9b6e-fd711c8aa12d · inbound

Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines cites this paper.

Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:48:29.670571Z

Source-reported events for the cited work

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Observation 9049565e-2b4a-44b2-8be0-bc466da837ba · inbound

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments cites this paper.

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:07.379760Z

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Observation 008756a5-6252-4f50-a846-96a0130fb978 · inbound

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training cites this paper.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:07.128785Z

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Observation d833eb6d-4ee0-4940-8d2c-d12b39720723 · inbound

Touch begins where vision ends: Generalizable policies for contact-rich manipulation cites this paper.

Touch begins where vision ends: Generalizable policies for contact-rich manipulation A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:46.391421Z

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Observation 52a55d8a-da05-415b-b158-c3d4ab448f53 · inbound

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents cites this paper.

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-04T09:48:07.562879Z

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Observation 4b78d0c1-9b47-4201-9aa8-9af4373338c9 · inbound

SpikeATac: A Multimodal Tactile Finger with Taxelized Dynamic Sensing for Dexterous Manipulation cites this paper.

SpikeATac: A Multimodal Tactile Finger with Taxelized Dynamic Sensing for Dexterous Manipulation A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T07:06:51.320227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518df3ee-2b6b-4322-a7f9-e53688b1326b · inbound

UniCon: A Unified System for Efficient Robot Learning Transfers cites this paper.

UniCon: A Unified System for Efficient Robot Learning Transfers A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:00:54.948804Z

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 fd58f5fa-15bc-4e3f-8b5c-c38985818e96 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-16T03:37:13.821187Z

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 d0b0b0e8-b22e-47a1-9907-9cab4e547686 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

Reference 48

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Source-reported events for the cited work

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Observation ec06c701-36de-4cb1-b092-0e80c8cf97d6 · inbound

What Matters for Simulation to Online Reinforcement Learning on Real Robots cites this paper.

What Matters for Simulation to Online Reinforcement Learning on Real Robots A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:16.982549Z

Source-reported events for the cited work

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Observation abfc8f1f-7e80-4579-9867-f33f589a7c45 · inbound

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation cites this paper.

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:49:54.489556Z

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 b4e40f6f-1ea1-41b7-b80c-14d9493a5469 · inbound

Neuromorphic Reinforcement Learning for Quadruped Locomotion Control on Uneven Terrain cites this paper.

Neuromorphic Reinforcement Learning for Quadruped Locomotion Control on Uneven Terrain A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:29.172728Z

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 8703c14d-c0d9-4ca6-9564-fba6b44f6171 · inbound

Neuromorphic Reinforcement Learning for Quadruped Locomotion Control on Uneven Terrain cites this paper.

Neuromorphic Reinforcement Learning for Quadruped Locomotion Control on Uneven Terrain A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:45:45.934686Z

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 aabff9cb-616a-448c-8fc2-bf1ec5898f58 · inbound

When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.

When Does Non-Uniform Replay Matter in Reinforcement Learning? A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:36:24.566962Z

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 24c88951-5282-45be-81dc-f913bedbfa8a · inbound

When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.

When Does Non-Uniform Replay Matter in Reinforcement Learning? A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:32:24.777585Z

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 f047453d-503a-48b7-86ac-4d39acb90258 · inbound

When Does Non-Uniform Replay Matter in Reinforcement Learning? cites this paper.

When Does Non-Uniform Replay Matter in Reinforcement Learning? A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:09:12.669798Z

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 cbbc3c3e-e3a0-492d-94aa-786dc12e75b3 · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 108

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T03:08:59.660784Z

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 49d4e92b-8c72-4978-ab81-c257e0044bf5 · inbound

Learning Process Rewards via Success Visitation Matching for Efficient RL cites this paper.

Learning Process Rewards via Success Visitation Matching for Efficient RL A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:44.518538Z

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.