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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:07.379760Z

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

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:10:07.379760Z digest=sha256:5ee91ba7744fe2f20685ae6f1ef40a6929cc204b78482565c10c72073ddbb36b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:53:07.128785Z digest=sha256:fd5685ab643a4c47d16bda2c5f48e80dcd09a655f44ee2b210e182410d598e2b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:46.391421Z digest=sha256:452f54c6b7f6ce1de8a54c88293094fb893551f14a25fc7628b455fb006a8464

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:48:07.562879Z digest=sha256:bffb80b589b931e2f25b2f279d07347c3a70c581a34896b01991262b8929970c

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.

source=pdf_text observed=2026-08-04T07:06:51.320227Z digest=sha256:94525bddfb00d59dbbc37a84b66fd0393aa3b9ca639cee1db1e2d07d7e0414c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T12:58:56.857747Z digest=sha256:06672fcf8fa40722de75a8027152c9a85ad619e4a934e79fc1131705c532e09b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T03:36:09.272019Z digest=sha256:bdaf018ebb0861b24dc3dda9c054c58400c1822df423c707af9318d39ee65282

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.

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
unresolved
no resolver link, observed 2026-08-03T02:55:50.745366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:55:50.745366Z digest=sha256:95b8c92a579207ce323e5e6f175d5a0dbb008b1cdbd30f3527eb8edea7aaf80a

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:36:16.982549Z digest=sha256:5782b535f0f11fe5cdfd12cc9936bc4a0cdd6dd78337c9db8c99db163c53405d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T09:49:03.333757Z digest=sha256:0d9ca3ab02912cd28fa4f670785a40264960ce8f142f7efe5a274b6cc7068d7e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T04:24:33.237352Z digest=sha256:1130480a3f9f83c8c4cc1d97a4838502dfcbecb6a66fcbfd05420ff206b7faa4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T22:48:25.063920Z digest=sha256:7a4b3809ff1cf155ec48f763624854e4c89aa5c763102396270c876c1e6eeea7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T05:33:19.038889Z digest=sha256:89a6f4d4b3d71eed2d046238fabe984d44c23583cbc550ff691a85d4bfb8fb13

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T06:27:38.643667Z digest=sha256:cd6609123afeeceffea171d902cc98b6ae46da6db0afe2df15153cd2e9170f7f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T23:04:12.943222Z digest=sha256:05be0bd1a7dadf5665fb29f9bb57adf86fa1c74f72a527aabb0f5245cb4ab8f1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:2b0f5715de0979263df9d2988b048dc3302bcddf06b15a79aedfa4e493cabc94

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 2026-08-08T06:32:00.761636+00:00.

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