Paper Citation Record · LEDGER

Latent Action Learning Requires Supervision in the Presence of Distractors

As of 22 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 11 inbound Pith citation observations for arXiv:2502.00379.

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

pith.paper-citation-record.v1
2502.00379 v5

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:18:45.195892Z

measured 82 of 82 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:20:17.721810Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:37.304505Z

Reference resolution

71 of 71 outbound references displayed

verified exact5
verified fuzzy24
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f727a6c0-cdbc-485f-b477-4a86efdf4a23 · outbound

This paper cites write newline.

Latent Action Learning Requires Supervision in the Presence of Distractors write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.616333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20457c54-18ff-4dd8-909d-fbb96efd1522 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Latent Action Learning Requires Supervision in the Presence of Distractors Understanding intermediate layers using linear classifier probes

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.681015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9229e970-1843-4dba-899a-a295bfecf025 · outbound

This paper cites A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning.

Latent Action Learning Requires Supervision in the Presence of Distractors A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:18:45.892893Z

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 1a729674-7f3e-4f2e-b2f6-8015ca624f71 · outbound

This paper cites Playing hard exploration games by watching youtube.

Latent Action Learning Requires Supervision in the Presence of Distractors Playing hard exploration games by watching youtube

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.406080Z

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 1b5212c1-e794-441a-97b3-a90241d67ee4 · outbound

This paper cites Video pretraining (vpt): Learning to act by watching unlabeled online videos.

Latent Action Learning Requires Supervision in the Presence of Distractors Video pretraining (vpt): Learning to act by watching unlabeled online videos

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.389894Z

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 cd7b46fd-8776-42f4-bfec-6214aeaa3d29 · outbound

This paper cites Zero-Shot Generalization of Vision-Based RL Without Data Augmentation.

Latent Action Learning Requires Supervision in the Presence of Distractors Zero-Shot Generalization of Vision-Based RL Without Data Augmentation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:18:45.869119Z

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 8d4d7a1f-9df4-46fc-8e6d-4e031334c672 · outbound

This paper cites Look where you look! saliency-guided q-networks for generalization in visual reinforcement learning.

Latent Action Learning Requires Supervision in the Presence of Distractors Look where you look! saliency-guided q-networks for generalization in visual reinforcement learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.374263Z

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 6d558e1a-6383-43cb-bb04-6ab26cb2f257 · outbound

This paper cites CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.

Latent Action Learning Requires Supervision in the Presence of Distractors CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.870942Z

Source-reported events for the cited work

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Observation c2e053af-df5e-47cd-847b-5e2e12064475 · outbound

This paper cites D., Edwards, A., Parker-Holder, J., Shi, Y., Hughes, E., Lai, M., Mavalankar, A., Steigerwald, R., Apps, C., et al.

Latent Action Learning Requires Supervision in the Presence of Distractors D., Edwards, A., Parker-Holder, J., Shi, Y., Hughes, E., Lai, M., Mavalankar, A., Steigerwald, R., Apps, C., et al

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.357942Z

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 bfccaa5d-0da5-4393-8557-054cf12871e8 · outbound

This paper cites MuDreamer: Learning Predictive World Models without Reconstruction.

Latent Action Learning Requires Supervision in the Presence of Distractors MuDreamer: Learning Predictive World Models without Reconstruction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.882853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a68f502-41da-4904-9131-b6ff1dcdfd1c · outbound

This paper cites and He, K.

Latent Action Learning Requires Supervision in the Presence of Distractors and He, K

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.888341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 767b7ea1-b712-411a-9dc9-a8626f3ec87f · outbound

This paper cites IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI.

Latent Action Learning Requires Supervision in the Presence of Distractors IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.893686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b729286-04e5-411f-9733-014ced324f47 · outbound

This paper cites Moto: Latent motion token as the bridging language for robot manipulation.

Latent Action Learning Requires Supervision in the Presence of Distractors Moto: Latent motion token as the bridging language for robot manipulation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.899440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 738e08e7-b7a2-4d9f-88db-68a469572bb6 · outbound

This paper cites Leveraging procedural generation to benchmark reinforcement learning.

Latent Action Learning Requires Supervision in the Presence of Distractors Leveraging procedural generation to benchmark reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.330471Z

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 3b030eb7-2d58-47a4-a126-9588f4679459 · outbound

This paper cites DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control.

Latent Action Learning Requires Supervision in the Presence of Distractors DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.910833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4082919d-a620-47de-a58b-b4667dbad494 · outbound

This paper cites Dreamerpro: Reconstruction-free model-based reinforcement learning with prototypical representations.

Latent Action Learning Requires Supervision in the Presence of Distractors Dreamerpro: Reconstruction-free model-based reinforcement learning with prototypical representations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.314539Z

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 2b876b85-14ff-4f60-a83f-c583da3ea6e1 · outbound

This paper cites Imitating latent policies from observation.

Latent Action Learning Requires Supervision in the Presence of Distractors Imitating latent policies from observation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.299099Z

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 b5bb7d39-2c04-42e1-a159-59878a3aa88b · outbound

This paper cites Learning task informed abstractions.

Latent Action Learning Requires Supervision in the Presence of Distractors Learning task informed abstractions

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.283348Z

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 54e6c2d3-2ff6-464e-9c0b-099053981cde · outbound

This paper cites A., and Levine, S.

Latent Action Learning Requires Supervision in the Presence of Distractors A., and Levine, S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.267910Z

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 18eacc9a-b995-4c28-8a69-6cad84425ede · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

Latent Action Learning Requires Supervision in the Presence of Distractors Ego4d: Around the world in 3,000 hours of egocentric video

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.935458Z

Source-reported events for the cited work

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Observation 7048d8ec-d858-4493-9331-dbcee0b10075 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Latent Action Learning Requires Supervision in the Presence of Distractors Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.940282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec4f0b82-7538-45da-b546-1a633df9494d · outbound

This paper cites a schel, T., K \.

Latent Action Learning Requires Supervision in the Presence of Distractors a schel, T., K \

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.232837Z

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 2ad92b11-38ea-4c61-9ebf-def93303abde · outbound

This paper cites and Wang, X.

Latent Action Learning Requires Supervision in the Presence of Distractors and Wang, X

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.217381Z

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 cab23eb4-6257-442e-af5f-5e8b3d66a7dc · outbound

This paper cites Stabilizing deep q-learning with convnets and vision transformers under data augmentation.

Latent Action Learning Requires Supervision in the Presence of Distractors Stabilizing deep q-learning with convnets and vision transformers under data augmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.201046Z

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 39a98327-8d10-468b-8af8-4b2691f3311a · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

Latent Action Learning Requires Supervision in the Presence of Distractors Temporal Difference Learning for Model Predictive Control

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.957482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60d1fe61-9736-4cb1-8505-575edf6325cf · outbound

This paper cites Deep residual learning for image recognition.

Latent Action Learning Requires Supervision in the Presence of Distractors Deep residual learning for image recognition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.962289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03db232b-edb5-40e0-ada1-c06d78a8a30c · outbound

This paper cites an unresolved cited work.

Latent Action Learning Requires Supervision in the Presence of Distractors Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:18:46.173724Z

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 ba314408-6340-4ec4-a686-faa96f4d0128 · outbound

This paper cites Spectrum random masking for generalization in image-based reinforcement learning.

Latent Action Learning Requires Supervision in the Presence of Distractors Spectrum random masking for generalization in image-based reinforcement learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.156130Z

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 10b37c0d-a971-40b9-8b03-9bf9f95d6b43 · outbound

This paper cites Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.

Latent Action Learning Requires Supervision in the Presence of Distractors Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.976732Z

Source-reported events for the cited work

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Observation dd18457a-dde0-4282-9186-7c70183bcfb5 · outbound

This paper cites Minerl diamond 2021 competition: Overview, results, and lessons learned.

Latent Action Learning Requires Supervision in the Presence of Distractors Minerl diamond 2021 competition: Overview, results, and lessons learned

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.139491Z

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 f518c15d-5e35-4c9f-93c6-27d32c09e562 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Latent Action Learning Requires Supervision in the Presence of Distractors DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.987061Z

Source-reported events for the cited work

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Observation a6f36c55-42b5-4abd-be9a-324f4aa522d0 · outbound

This paper cites Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning.

Latent Action Learning Requires Supervision in the Presence of Distractors Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.992363Z

Source-reported events for the cited work

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Observation b2506441-4e21-492a-8a0a-cd91791b0ad9 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Latent Action Learning Requires Supervision in the Presence of Distractors OpenVLA: An Open-Source Vision-Language-Action Model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:44.997482Z

Source-reported events for the cited work

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Observation df774c13-2057-40a3-a735-e01523951dbb · outbound

This paper cites Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models.

Latent Action Learning Requires Supervision in the Presence of Distractors Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.003425Z

Source-reported events for the cited work

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Observation a26793a2-6601-4d57-adff-9ad01ffe263f · outbound

This paper cites Multistep Inverse Is Not All You Need.

Latent Action Learning Requires Supervision in the Presence of Distractors Multistep Inverse Is Not All You Need

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:18:45.615088Z

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 5a3dca58-a7cb-4496-bc9e-6b16b6fc21d0 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Latent Action Learning Requires Supervision in the Presence of Distractors Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 36

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Source-reported events for the cited work

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Observation b97612f2-3c08-4a8a-9168-98b9af424fdb · outbound

This paper cites Robust representation learning by clustering with bisimulation metrics for visual reinforcement learning with distractions.

Latent Action Learning Requires Supervision in the Presence of Distractors Robust representation learning by clustering with bisimulation metrics for visual reinforcement learning with distractions

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.122744Z

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 f00c1679-5fea-4d8b-9187-f76fc7b1ee8b · outbound

This paper cites Learning world models with identifiable factorization.

Latent Action Learning Requires Supervision in the Presence of Distractors Learning world models with identifiable factorization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.106666Z

Source-reported events for the cited work

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Observation d9ecccd5-be49-4958-a438-f42c4c0fc920 · outbound

This paper cites A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning.

Latent Action Learning Requires Supervision in the Presence of Distractors A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning

Reference 39

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Observation d9d84fe3-0d10-4903-86cd-413ea9c08a0f · outbound

This paper cites Towards Generalist Robot Learning from Internet Video: A Survey.

Latent Action Learning Requires Supervision in the Presence of Distractors Towards Generalist Robot Learning from Internet Video: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.035649Z

Source-reported events for the cited work

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Observation a26de0d2-cbf5-4d28-a9d7-41652c8db07f · outbound

This paper cites Finite Scalar Quantization: VQ-VAE Made Simple.

Latent Action Learning Requires Supervision in the Presence of Distractors Finite Scalar Quantization: VQ-VAE Made Simple

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.041721Z

Source-reported events for the cited work

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Observation 9dc12d7d-ba2c-4b01-9278-8003c1341e15 · outbound

This paper cites Towards Principled Representation Learning from Videos for Reinforcement Learning.

Latent Action Learning Requires Supervision in the Presence of Distractors Towards Principled Representation Learning from Videos for Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.047550Z

Source-reported events for the cited work

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Observation 772587d5-f837-45c5-b9a6-a8171c8d85e6 · outbound

This paper cites Bridging State and History Representations: Understanding Self-Predictive RL.

Latent Action Learning Requires Supervision in the Presence of Distractors Bridging State and History Representations: Understanding Self-Predictive RL

Reference 43

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Source-reported events for the cited work

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Observation 350e4a5c-3ec2-4dac-b51c-d378c551f0a4 · outbound

This paper cites and Taniguchi, T.

Latent Action Learning Requires Supervision in the Presence of Distractors and Taniguchi, T

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.090335Z

Source-reported events for the cited work

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Observation 51bc5c35-a169-4383-82d2-ab3e9fd4c905 · outbound

This paper cites DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors.

Latent Action Learning Requires Supervision in the Presence of Distractors DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:18:45.492478Z

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 13e17c22-7cca-4758-b66e-8f45f768f52c · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.

Latent Action Learning Requires Supervision in the Presence of Distractors Stable-baselines3: Reliable reinforcement learning implementations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.067876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22895b52-5e1e-4286-9940-b63b4177c63a · outbound

This paper cites iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning.

Latent Action Learning Requires Supervision in the Presence of Distractors iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.072273Z

Source-reported events for the cited work

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Observation a0bb9b71-31c6-45bd-a161-aeeabd9824fa · outbound

This paper cites Reinforcement Learning with Videos: Combining Offline Observations with Interaction.

Latent Action Learning Requires Supervision in the Presence of Distractors Reinforcement Learning with Videos: Combining Offline Observations with Interaction

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.077358Z

Source-reported events for the cited work

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Observation f7fd979d-155e-4f7b-9645-dee15c932b07 · outbound

This paper cites Learning to Act without Actions.

Latent Action Learning Requires Supervision in the Presence of Distractors Learning to Act without Actions

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.082822Z

Source-reported events for the cited work

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Observation 7969b19d-e70d-4599-b4c0-0c0586f6e0d1 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Latent Action Learning Requires Supervision in the Presence of Distractors Proximal Policy Optimization Algorithms

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.088262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64c9e3c-9d54-4576-aa5f-63536dc43a18 · outbound

This paper cites Data-Efficient Reinforcement Learning with Self-Predictive Representations.

Latent Action Learning Requires Supervision in the Presence of Distractors Data-Efficient Reinforcement Learning with Self-Predictive Representations

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.093521Z

Source-reported events for the cited work

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Observation dcc1f2fc-6c5d-49c8-8764-f4f0ea64161c · outbound

This paper cites The pitfalls of simplicity bias in neural networks.

Latent Action Learning Requires Supervision in the Presence of Distractors The pitfalls of simplicity bias in neural networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:46.062595Z

Source-reported events for the cited work

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Observation f133ecba-94d7-4555-9d6a-8e387930f738 · outbound

This paper cites The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels.

Latent Action Learning Requires Supervision in the Presence of Distractors The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.104131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1fdce95-7101-442e-8065-e5f68e41cc9f · outbound

This paper cites and Kyrki, V.

Latent Action Learning Requires Supervision in the Presence of Distractors and Kyrki, V

Reference 54

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Observation b154cbca-4097-4d94-b874-d683cbfa50a4 · outbound

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

Latent Action Learning Requires Supervision in the Presence of Distractors Learning Representations for Pixel-based Control: What Matters and Why?

Reference 55

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Observation d0b96b97-3338-4e95-a025-0e3dd882ac57 · outbound

This paper cites Behavioral Cloning from Observation.

Latent Action Learning Requires Supervision in the Presence of Distractors Behavioral Cloning from Observation

Reference 56

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Observation 91cc1289-e7e5-4bed-8e0a-69dca263cf65 · outbound

This paper cites Recent Advances in Imitation Learning from Observation.

Latent Action Learning Requires Supervision in the Presence of Distractors Recent Advances in Imitation Learning from Observation

Reference 57

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This paper cites Neural discrete representation learning.

Latent Action Learning Requires Supervision in the Presence of Distractors Neural discrete representation learning

Reference 58

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Observation 9f174e0e-c3a6-47a4-9c4a-b3996073a2c3 · outbound

This paper cites Attention is all you need.

Latent Action Learning Requires Supervision in the Presence of Distractors Attention is all you need

Reference 59

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This paper cites Semail: eliminating distractors in visual imitation via separated models.

Latent Action Learning Requires Supervision in the Presence of Distractors Semail: eliminating distractors in visual imitation via separated models

Reference 60

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This paper cites Denoised MDPs: Learning World Models Better Than the World Itself.

Latent Action Learning Requires Supervision in the Presence of Distractors Denoised MDPs: Learning World Models Better Than the World Itself

Reference 61

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This paper cites AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors.

Latent Action Learning Requires Supervision in the Presence of Distractors AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.151867Z

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This paper cites Task-Induced Representation Learning.

Latent Action Learning Requires Supervision in the Presence of Distractors Task-Induced Representation Learning

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:18:45.293115Z

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This paper cites Latent Action Pretraining from Videos.

Latent Action Learning Requires Supervision in the Presence of Distractors Latent Action Pretraining from Videos

Reference 64

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This paper cites Learning Invariant Representations for Reinforcement Learning without Reconstruction.

Latent Action Learning Requires Supervision in the Presence of Distractors Learning Invariant Representations for Reinforcement Learning without Reconstruction

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T19:18:45.167910Z

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This paper cites Learning to drive by watching youtube videos: Action-conditioned contrastive policy pretraining.

Latent Action Learning Requires Supervision in the Presence of Distractors Learning to drive by watching youtube videos: Action-conditioned contrastive policy pretraining

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:45.994555Z

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Latent Action Learning Requires Supervision in the Presence of Distractors Light-weight probing of unsupervised representations for Reinforcement Learning

Reference 67

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This paper cites Simplified temporal consistency reinforcement learning.

Latent Action Learning Requires Supervision in the Presence of Distractors Simplified temporal consistency reinforcement learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:45.978180Z

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This paper cites Semi-supervised offline reinforcement learning with action-free trajectories.

Latent Action Learning Requires Supervision in the Presence of Distractors Semi-supervised offline reinforcement learning with action-free trajectories

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:45.960785Z

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This paper cites Learning robust representation for reinforcement learning with distractions by reward sequence prediction.

Latent Action Learning Requires Supervision in the Presence of Distractors Learning robust representation for reinforcement learning with distractions by reward sequence prediction

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:45.943879Z

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This paper cites Repo: Resilient model-based reinforcement learning by regularizing posterior predictability.

Latent Action Learning Requires Supervision in the Presence of Distractors Repo: Resilient model-based reinforcement learning by regularizing posterior predictability

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:18:45.927189Z

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Pith citing papers

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villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models cites this paper.

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 50

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Observation ad354d01-a37a-411f-95fc-047e17c463e2 · inbound

Motus: A Unified Latent Action World Model cites this paper.

Motus: A Unified Latent Action World Model Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 34

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Factored Latent Action World Models cites this paper.

Factored Latent Action World Models Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 13

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Observation 52e8f481-8acf-4981-a12e-a88485009d5e · inbound

From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models cites this paper.

From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 28

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Observation 7d3440b3-788d-4625-95fd-3e6d9cb29b27 · inbound

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization cites this paper.

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:29.593558Z

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LARA: Latent Action Representation Alignment for Vision-Language-Action Models cites this paper.

LARA: Latent Action Representation Alignment for Vision-Language-Action Models Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 9

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Observation 3645caf0-e88c-4cfd-ac50-1b2530f0c3a3 · inbound

LARA: Latent Action Representation Alignment for Vision-Language-Action Models cites this paper.

LARA: Latent Action Representation Alignment for Vision-Language-Action Models Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 9

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Observation 74690e68-9251-4c81-9edc-1652f415ed36 · inbound

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning cites this paper.

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:37.306210Z

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Observation eac3cf50-2da4-4748-900e-3da0791c31c5 · inbound

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning cites this paper.

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 25

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Observation 15d0a409-e572-43cb-b595-e8bad66dc626 · inbound

LAVIFT: Latent-Action-Guided Vision Fine-Tuning for Surgical Interaction Recognition cites this paper.

LAVIFT: Latent-Action-Guided Vision Fine-Tuning for Surgical Interaction Recognition Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T11:31:03.497846Z

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Observation 67d6486f-d4e1-4932-bd3d-51e284061543 · inbound

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment cites this paper.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T04:20:17.721810Z

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