Paper Citation Record · LEDGER

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2502.09923.

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

pith.paper-citation-record.v1
2502.09923 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:08:49.728766Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

26 of 26 outbound references displayed

verified exact1
verified fuzzy4
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 942ca25d-8e92-49bb-9204-fc1b43badce0 · outbound

This paper cites Unsupervised Neural Machine Translation.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Unsupervised Neural Machine Translation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.420837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a6730e5-1d50-4b85-8c34-ecc9c8eb9a66 · outbound

This paper cites Generalization in re- inforcement learning by soft data augmentation.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Generalization in re- inforcement learning by soft data augmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:50.600025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c7b37a6-3f4b-4208-a5ce-f8379f87c4db · outbound

This paper cites Unsupervised Translation of Programming Languages.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Unsupervised Translation of Programming Languages

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.469960Z

Source-reported events for the cited work

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Observation cc6f5490-b39c-42d6-9ffa-9c035bc426d0 · outbound

This paper cites an unresolved cited work.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T20:08:50.163345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf1b2602-fd6c-4e17-bb60-bded98aa959e · outbound

This paper cites R3M: A Universal Visual Representation for Robot Manipulation.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning R3M: A Universal Visual Representation for Robot Manipulation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.546331Z

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Observation 18b46bf0-4617-47e0-8732-471c0a5cc3a7 · outbound

This paper cites Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.571611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02680cba-74f2-4dc8-bf39-d10659a2786e · outbound

This paper cites Distilling Internet-Scale Vision-Language Models into Embodied Agents.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Distilling Internet-Scale Vision-Language Models into Embodied Agents

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.576070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b0a6ae-571d-47cf-9568-3c9d58e618cf · outbound

This paper cites DeepMind Control Suite.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning DeepMind Control Suite

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.580007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e253a36-5036-4ab5-ac3b-6cdba3d585ab · outbound

This paper cites A survey on unsu- pervised transfer clustering.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning A survey on unsu- pervised transfer clustering

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:50.484607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eca9d332-f1f9-4322-9707-0375bd9bd9be · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.593951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6942f956-bf95-4c60-bcac-c43633f7fbb3 · outbound

This paper cites PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T20:08:49.876088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c6cfeee-9bca-424e-9b50-6dcae8e7b978 · outbound

This paper cites EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.696725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f71f3ad-28f6-4521-85c3-42f9ed0c8330 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.705306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b99c81ee-2d18-4396-b97a-af81c45a2f7e · outbound

This paper cites an unresolved cited work.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T20:08:50.330374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aaf91980-6856-4238-b2d1-38ee6bdc1a67 · outbound

This paper cites A.4 Self-Consistent Model-based Adaptation Below we provide a detailed derivation of SCMA’s adaptation loss.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning A.4 Self-Consistent Model-based Adaptation Below we provide a detailed derivation of SCMA’s adaptation loss

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:50.255344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd5c6030-fcec-4de4-8257-f1d658906b92 · outbound

This paper cites Following Yuan et al.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Following Yuan et al

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:08:50.149605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 11699a66-121b-488a-9e99-729c14425546 · outbound

This paper cites an unresolved cited work.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T20:08:50.136830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 24052ae1-99a5-4399-beeb-237e10d3fe62 · outbound

This paper cites Learning to Act from Actionless Videos through Dense Correspondences.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Learning to Act from Actionless Videos through Dense Correspondences

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.465586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e2611b2-a444-424c-9d4e-e1d5c540e249 · outbound

This paper cites an unresolved cited work.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-07T20:08:50.343946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 14f11395-a60e-4ff9-8d9d-edc336d66f40 · outbound

This paper cites Learning Representations for Pixel-based Control: What Matters and Why?.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Learning Representations for Pixel-based Control: What Matters and Why?

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.584832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a6c342-f233-43e1-976c-54683b374a78 · outbound

This paper cites Mastering Diverse Domains through World Models.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Mastering Diverse Domains through World Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.450851Z

Source-reported events for the cited work

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Observation 198e2939-86d7-4fe9-9600-41551fdb98ea · outbound

This paper cites CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.474553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f3bb1a-be3d-491b-9cf3-24fa803d024e · outbound

This paper cites Self-Supervised Policy Adaptation during Deployment.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Self-Supervised Policy Adaptation during Deployment

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.459978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd0b4701-d5e3-44c8-90a3-b9791575d9bd · outbound

This paper cites Learning Universal Policies via Text-Guided Video Generation.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Learning Universal Policies via Text-Guided Video Generation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.440473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c3e22b-19a8-4862-a36a-52ccb222ddf6 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Dream to Control: Learning Behaviors by Latent Imagination

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.446052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aa5ee30-ee26-46b8-80a0-d8e9134faf2c · outbound

This paper cites Cross-domain Random Pre-training with Prototypes for Reinforcement Learning.

Self-Consistent Model-based Adaptation for Visual Reinforcement Learning Cross-domain Random Pre-training with Prototypes for Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T20:08:49.509364Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.