Paper Citation Record · LEDGER

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training

As of 21 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 6 inbound Pith citation observations for arXiv:2506.04147.

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

pith.paper-citation-record.v1
2506.04147 v5

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:10.677196Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:41:09.270324Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:59:52.873764Z

Reference resolution

66 of 66 outbound references displayed

verified exact4
verified fuzzy20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c573e4b2-f3f6-47a6-b41f-0f30916b00da · outbound

This paper cites O’Neill, A.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training O’Neill, A

Reference 1

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Observation be55aec0-ebd9-41c6-862b-da9ba509b6a2 · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 2

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Observation 388878a7-c75e-4dd3-99c8-81cad4d1070e · outbound

This paper cites an unresolved cited work.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 3

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Observation 30585797-cf51-41d7-94fb-c9b0f01d1009 · outbound

This paper cites FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning

Reference 4

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Observation 6b98f258-55a7-4789-91c9-17ba9e80eb14 · outbound

This paper cites N$^2$M$^2$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training N$^2$M$^2$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments

Reference 5

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Observation 7d74ab5c-2154-429f-a35c-bb71e61c344e · outbound

This paper cites Harmonic Mobile Manipulation.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Harmonic Mobile Manipulation

Reference 6

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Observation 5407c3d8-ae18-4807-b732-0771bbee853c · outbound

This paper cites ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation

Reference 7

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Observation 2d9825f8-eb40-49be-8cf6-20e98972f19a · outbound

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 8

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Observation 0818d4b0-63d0-4f33-913c-76940813d732 · outbound

This paper cites Jauhri, J.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Jauhri, J

Reference 9

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 10

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Observation 081c1cb8-ce40-48a7-ac97-43012dcdf377 · outbound

This paper cites RobotMover: Learning to Move Large Objects From Human Demonstrations.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training RobotMover: Learning to Move Large Objects From Human Demonstrations

Reference 11

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 12

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 13

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Observation 1634b1da-0a21-4515-928a-921d9d119638 · outbound

This paper cites ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills

Reference 14

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 15

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 16

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Observation 7a62f78f-3472-439f-a99c-67931afd0201 · outbound

This paper cites an unresolved cited work.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 17

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Observation 3acb3f12-6e39-4297-b3da-815402747b9f · outbound

This paper cites Gupta, J.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Gupta, J

Reference 18

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

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

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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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 20

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 21

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Observation cda59a1c-8a6d-4230-bcc0-9702450acb61 · outbound

This paper cites Diversity is All You Need: Learning Skills without a Reward Function.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Diversity is All You Need: Learning Skills without a Reward Function

Reference 22

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Observation 01ce1ec7-c6fc-4f6b-b611-6fa13d27f116 · outbound

This paper cites SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions

Reference 23

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 24

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Observation 12b613bd-7763-4a91-bfda-0cccedd8022a · outbound

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 25

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Observation 837347a1-e316-439d-8e6f-04414d2fd439 · outbound

This paper cites Controllability-Aware Unsupervised Skill Discovery.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Controllability-Aware Unsupervised Skill Discovery

Reference 26

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Herzog, K

Reference 27

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Xiong, R

Reference 28

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Observation 57128d88-d171-4b31-82b8-83fbd7a8cc9c · outbound

This paper cites Continuously Improving Mobile Manipulation with Autonomous Real-World RL.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Continuously Improving Mobile Manipulation with Autonomous Real-World RL

Reference 29

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 30

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Observation 8aa215b9-4e78-48fb-83bd-53060d53b7ae · outbound

This paper cites BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities

Reference 31

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This paper cites TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation

Reference 32

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 33

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Observation 9ebc3d3b-2a55-4759-98d6-33c8264eda71 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 34

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Yamamoto and X

Reference 35

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Dietrich, T

Reference 37

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Observation c0d48bf7-cc01-45f7-8505-9be5e33c1c7b · outbound

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Sentis and O

Reference 38

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Haviland, N

Reference 39

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Papadopoulos and J

Reference 40

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Huang, K

Reference 41

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Pankert and M

Reference 42

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Observation 534e2311-5f29-4cec-8c1f-363254b76b81 · outbound

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Van Den Berg, P

Reference 43

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Ratliff, M

Reference 44

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Reference 46

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Wolfe, B

Reference 47

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Burget, A

Reference 48

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Proximal Policy Optimization Algorithms

Reference 49

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Kalakrishnan, S

Reference 50

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Observation 89969ee0-f447-426d-9e0a-6a0c9408999a · outbound

This paper cites EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data

Reference 51

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SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 52

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Observation a3f88d3d-8331-4bc5-a3f3-c0377bd166bd · outbound

This paper cites Barber and F.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Barber and F

Reference 53

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Observation 9b64537e-37e9-42e4-8dd3-a89bd3ce4825 · outbound

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

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:09.773129Z

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Unavailable: canonical work link unavailable.

Observation bd77bd16-a5fa-423e-8b01-8173d22ea24f · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Soft Actor-Critic Algorithms and Applications

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:09.982484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7ada2b-6303-4559-8b2f-64ad23a6f432 · outbound

This paper cites an unresolved cited work.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:53:13.441938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64e8b810-4805-4076-99b6-4ef6b773cb69 · outbound

This paper cites an unresolved cited work.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:53:12.903995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf83741f-4dfe-41f7-89bd-de201eab3fe0 · outbound

This paper cites an unresolved cited work.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:53:13.165820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df93aa11-ec60-4453-8f40-28de0f5afa94 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Categorical Reparameterization with Gumbel-Softmax

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:10.254754Z

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Unavailable: canonical work link unavailable.

Observation 5e975619-5ca9-4778-966f-6b1b82faa63c · outbound

This paper cites Soft Actor-Critic for Discrete Action Settings.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Soft Actor-Critic for Discrete Action Settings

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:10.179732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e1ab4a-358b-4f12-add7-2a21024b293c · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:10.366946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383bd7f2-73eb-4d40-b3cd-2edaa7ba13ed · outbound

This paper cites an unresolved cited work.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:53:12.597817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a97e950-af74-4843-9d75-a39cd3f55bf3 · outbound

This paper cites Bacon, J.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Bacon, J

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:12.158361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35855eb3-6cdf-477e-8489-672eb281c6e4 · outbound

This paper cites Terry, B.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Terry, B

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:12.406473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60abbd28-ea98-4e5e-b96a-a815bbd0d180 · outbound

This paper cites push to tray.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training push to tray

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:53:11.916266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ca1b033-6e44-4f64-bc7f-ca139a6dc7ae · outbound

This paper cites an unresolved cited work.

SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training Unresolved cited work

Reference 2023

Resolution: verified exact; doi, observed 2026-08-07T10:53:10.826531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 46b3f0b3-4aec-450a-87d1-7ea2cb8e3137 · inbound

Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input cites this paper.

Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-20T01:18:17.332755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7bd3d652-4402-4120-b75b-5d161fda6a20 · inbound

Factored Latent Action World Models cites this paper.

Factored Latent Action World Models SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T22:41:09.270324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 864b72ee-3bc2-4250-b7d0-40cf09e9c247 · inbound

VOFA: Visual Object Goal Pushing with Force-Adaptive Control for Humanoids cites this paper.

VOFA: Visual Object Goal Pushing with Force-Adaptive Control for Humanoids SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-20T01:18:17.332755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0626e9b-1734-4339-90ff-0e89caf4245e · inbound

VOFA: Visual Object Goal Pushing with Force-Adaptive Control for Humanoids cites this paper.

VOFA: Visual Object Goal Pushing with Force-Adaptive Control for Humanoids SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T15:03:52.501182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4325ba-4fd1-40bc-a55e-767b6adcc332 · inbound

What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents cites this paper.

What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-20T01:18:17.332755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09e2e85f-d54c-40e6-8f81-bc3638eb417e · inbound

IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control cites this paper.

IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-Training

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-20T01:18:17.332755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.