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Paper Citation Record · LEDGER

Latent Action Learning Requires Supervision in the Presence of Distractors

As of 10 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 2026-08-09T06:31:02.800959+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.616333Z digest=sha256:1a1ea0d34dc46ac29e527641868b6971559452d13373474e09f7626f0902341c

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

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

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source=arxiv_source observed=2026-08-09T19:18:44.681015Z digest=sha256:754fb0f93e9e66cc313ffd1ed3eb0f5da43f85e54bb40f6d07f9792dff29d1c6

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.765069Z digest=sha256:9f083eed65a1cb3e69709535fb7a0d8d4d539fb8cce68144401396519aa5f02e

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.848806Z digest=sha256:80c2dd3775e4bf7c4f8b7df96d60b642d3b6d5f2565ae77bec51fe80a53bd061

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.854314Z digest=sha256:1bc37c4b7a6b3584b65091c10aac6a6e4ade9c5f107503bf04c0c11bbca4875c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.859690Z digest=sha256:d8a4a8dbebcad945091805ca2b2624bbd99fc707e89052ba835a44ea6aea4ee7

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.865322Z digest=sha256:53dfa9a2723d6d52b6022ebeff49283a7d19aee607f94a35f2b76ce6517ed7cd

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.870942Z digest=sha256:deace74d94d797737d7515f1b1095062ca3d0a458af424718a312dda4ef3e890

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.876507Z digest=sha256:cf8d5f8953a56c5e4f1d72bcf2db49de8c7799b9cea4062b806ff3b60ee20f17

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.882853Z digest=sha256:25e3de44344e89408fb0f30258f073fbfc09dd09777ce4e5010b1e548208cbef

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

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source=arxiv_source observed=2026-08-09T19:18:44.888341Z digest=sha256:85698f62cc93b685f2f8aee375cbf1789abf585b6439ac16a6ede7f932dbec41

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.893686Z digest=sha256:0b2c7470dd7a08ec22bb9da719cfecced3ae048bbf3f0a85084af2e9a9618cf2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.899440Z digest=sha256:8792941ba557fcae1d19aeb42b55b77e020aba55c4c643f49f8d865a36a17ec8

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.905633Z digest=sha256:5dd4c3880d1de739dbcad8fecd09e60562004ec45001095e18623471445bf8bd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.910833Z digest=sha256:2fd583fea35875077e4af52c4395aae331f086b711f0e7a5bd3d4218ce4fafbc

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.915999Z digest=sha256:75df745f769b7bbfcc19c59a6ceb6bfd194c4da70f98aebf67fc86a8b7c1716c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.920953Z digest=sha256:fde634c54bbb27585ee24e2251e4d46c3a85225331ea2a72f9ddcae5a3ea70f7

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.925893Z digest=sha256:832cdd55fbf70645a0e4e6bc74a077f015b81a49fb04b74c94f588a50f9534f8

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.930674Z digest=sha256:ea7b326c1d058368a51a9e4124fca90861f5a0ce2ed6c82fae1f683fecd4f2da

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.935458Z digest=sha256:2edf1819b6204bce6db67e48dea01371c7b1825526f3d3ca2e80ce5839fc05d9

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.940282Z digest=sha256:7896847d50fe4f03a6dc637a9509f69c21ceafcb1d9f986dbe885072208abc9b

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.944828Z digest=sha256:f93bd98cc08efede5fcf05b9c5efd83d07681513361a667d44fbd00b6d9faf85

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.948905Z digest=sha256:01f6030705db1643f89cea862fcbb54bc5e08c26f6b51555f83e096aba0b9a3b

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.953288Z digest=sha256:82a40999a5c47fbf4ac73aff4e3ccf91b88b426aeedd1eb34f35affa53e86086

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.957482Z digest=sha256:0c3808f3222115db03d16182aab818475f726adb38e53b9a6c89679ae768ffd5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.962289Z digest=sha256:622635bede01b9c16466efff6e4f2cb40da0f0c14266bf92efc896587335ba4f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.966531Z digest=sha256:32ee8dd91e9eb98010994aa0dde53b7902a505a987e2f1070816f011bd3f700a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.971607Z digest=sha256:4303f3743a26a11c8d848b5c9a1a8cde390103c743f2dd494ddd08f53ed231aa

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.976732Z digest=sha256:0f3cf5177799bde683ddc4cc76e861bc256a878afc8c737de46b9158a0d95860

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.982135Z digest=sha256:bc3b0824f3c75069d6942bb074edbebb52c71ca6b5d70e26780e691bf819d32b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.987061Z digest=sha256:05b504476c0914ab1c30b7d967e685529d9f0395a30a318ecb555563b6904e00

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.992363Z digest=sha256:5541842e411be9dced35279fb79a1fc8dc927579da978a330c811ddfb23be58a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.997482Z digest=sha256:c8b5dfde9decda6092b73204804dcd149f037b922a4ff6010dec84bb6b6e1e6f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.003425Z digest=sha256:f4100f2a30617e4f5b9c43d970839cd1a6b1aa3895e7cb61beba96ab8d37609b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.009287Z digest=sha256:53a58dab51b20dc41ebedf3140b1ad2159ca494e8793bacc439f3e8ade67f008

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=arxiv_source observed=2026-08-09T19:18:45.014925Z digest=sha256:269a2d9beea6add75c78c61c406bb625cab3b1e18f577de412e2ea6c5dd3852d

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.020263Z digest=sha256:f3cadbed2ce61f773964f7210ca95dffcf07ee47afb44e2673912cadf76c3158

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.025435Z digest=sha256:ccbe1cddd0c11973c68d8b19832f754730ab8df0058b249869a60f7d2b920dc8

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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source=arxiv_source observed=2026-08-09T19:18:45.030415Z digest=sha256:90447546159605c2d809f888d90f5776c038a5d1fb1b8c2e5466ec8786cf1619

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

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source=arxiv_source observed=2026-08-09T19:18:45.035649Z digest=sha256:e6399f59e4d58ec31f42f55cf46f841125d3bf0c55cdcc1d1f80d149a0a9cc09

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

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source=arxiv_source observed=2026-08-09T19:18:45.041721Z digest=sha256:256895adbf68864107a33af9a3225650554ea820513a720fa9baeac455fcc09e

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

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source=arxiv_source observed=2026-08-09T19:18:45.047550Z digest=sha256:8924fae1f55e2b627f062cc35dae10a47f1e39e88fef85ba4104e37dfeef91d5

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=arxiv_source observed=2026-08-09T19:18:45.052790Z digest=sha256:7398e3e452e09377b858b8d6b59a955cbedd6a0f2765bce40f089dc35c85af59

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.058143Z digest=sha256:b99f6ae0a160f17c52b6cfb755367e51e08fb9c3a4708d98ea75ceb876a2ada1

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.063070Z digest=sha256:e51ecfd3e7314d5b96dabfa166c8391a0005ed9456c2bd3b2ae7b93615934779

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.067876Z digest=sha256:e2db128a33fc04775fc3766547f4a52afe2e4cb13933987fe68cd7449dc25ea4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.072273Z digest=sha256:a8990f1f298496be81fc4081c811bd619f1014da13bcf1e31a294cc2fd9c26fd

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

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source=arxiv_source observed=2026-08-09T19:18:45.077358Z digest=sha256:9db1d4c0c5b1b0d2c6357e5b7e8576588b0617531dba3ca4b55e356fdb6750ad

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

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source=arxiv_source observed=2026-08-09T19:18:45.082822Z digest=sha256:a2e3dbe76fad18542de2bd691db832067b758c7822e0171947f8175c14d1f108

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.088262Z digest=sha256:d124ad665553838b2e4cbaa1ef724f731ce32adb1c0d6c3164d87262adc9e0cd

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.093521Z digest=sha256:ab05fbbe2c27f031f2fdec0089ba44d2addb18eef70bb391f5196d0f4a71e1ae

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.098885Z digest=sha256:6f7c0d6d892ce99d7fd8058017b56bbf9e8b26cebe395d2a44ccc6776d5c54e0

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

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source=arxiv_source observed=2026-08-09T19:18:45.104131Z digest=sha256:95dc5b4bf1aab3dc39a4467a70f6ea2c12044a471e7fa9aa26f1dd4ae8e3e9c9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:18:46.045786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.109739Z digest=sha256:b756eb3354d8f17c91e6d0a0625565c755d51fc33acb945b59a8cc412b0a261e

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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no resolver link, observed 2026-08-09T19:18:45.115095Z

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source=arxiv_source observed=2026-08-09T19:18:45.115095Z digest=sha256:f0c0ba6c3f3c6364e2d98d2581f7e36f94ddf006130467203864af4ac7468f73

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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no resolver link, observed 2026-08-09T19:18:45.120377Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.120377Z digest=sha256:0af3a78aa312cfef1f91d59257d061f8c0fcbba232bdcac43f9598de42b1cf4e

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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no resolver link, observed 2026-08-09T19:18:45.125629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.125629Z digest=sha256:4aad1a9dd0a9994580b3adb26a6feacf712f3e45bc722e9e8a38a56d99e242a2

Observation 90a847eb-cd73-4f1a-a713-2813f349b653 · outbound

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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no resolver link, observed 2026-08-09T19:18:45.131440Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.131440Z digest=sha256:3fb7deb9ca95e31ce596bb74cbaf01266e504696ba97f85958ed3ddd81ba750e

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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no resolver link, observed 2026-08-09T19:18:45.136590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.136590Z digest=sha256:d7e1832d1cfd59802bf0017c4312ceeb70b714ef9bb088124ee8b6e933c0f76d

Observation d254dc04-e8cf-41c5-ae70-254d93485071 · outbound

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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no resolver link, observed 2026-08-09T19:18:45.141670Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T19:18:45.141670Z digest=sha256:90f4c91495a16cceb787d442647ece4c64887c3258a41e6f04d21790c239a33b

Observation 787afeb1-f994-4e6c-8c5c-19f034ad1dc4 · outbound

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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no resolver link, observed 2026-08-09T19:18:45.146809Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.146809Z digest=sha256:c4101df3f5fb6365200f10f197639c06e3212d959fc76c89809940467f6b8e8b

Observation 285fb2da-fcb5-4266-986c-945535bae79c · outbound

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.151867Z digest=sha256:3f720c4b14629239313e40d66d462eeb5f0ad594bdd4bf8c75ee53013d0c2f30

Observation 42af9bc0-a71a-4153-87cd-1874d94c7bbf · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.156974Z digest=sha256:66a2522d18c1fb3004e16b3b9ed54708c88b1cb56348ce246937e416d5e9fd02

Observation 949c983c-e7c4-406d-8f3a-9aab9cb7a334 · outbound

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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no resolver link, observed 2026-08-09T19:18:45.162683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.162683Z digest=sha256:1b8c5ed8361fe5233636663356273de958b9ec788a35cd50c325bb6c0f347bff

Observation 176cb31d-a95d-4667-a688-0828faf09e2f · outbound

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.167910Z digest=sha256:9340cb2c309513ae323da3f2efbbdd1459ea3db4000f9eee8cbc75e43634f5e0

Observation 912251a8-3910-4374-87a8-80418334859b · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.173254Z digest=sha256:89d3377f738030e6f7f5f0947409df6bfeb7d0f1171309a9d5ccedcc9a6d8a7c

Observation 59d3ea8d-0813-45b5-b78a-2ea17c9d353e · outbound

This paper cites Light-weight probing of unsupervised representations for Reinforcement Learning.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.177625Z digest=sha256:0c6e12ee37140f4903801de63a6ac798127a5f83620e577e2fb4e428ab20bcb7

Observation 160252ad-04a1-433c-9ead-e762bd16563a · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.182227Z digest=sha256:06a8ef7bcdcb48507d4c7d5257a18fd32dabcebfad617265feaf8f5e7af0d401

Observation 1459ea55-e4ac-4369-9e56-ed1562603093 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.186546Z digest=sha256:c5371622b79a0f5b74b15dc84b6ef1f6e454af0f31d647025419083f035087d7

Observation 5503267f-a31c-4d97-a867-3fdb5c588d02 · outbound

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.190967Z digest=sha256:b89bccab8b569425ffe83ef62311b0c2a195ee4d5ec38bf87e97a0b1d74b64e9

Observation c3f296bd-af34-436d-b87b-284f786561d6 · outbound

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.195892Z digest=sha256:6369454f0d3b2be8f65996fad3d2fa7b5516f217abf7fcf37f48e5b5c407a47c

Pith citing papers

Observation 301818b8-9f18-4cf1-94c7-d2a9f2366766 · inbound

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

Resolution
verified exact
arxiv_id, observed 2026-05-15T21:52:03.125800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T21:52:02.893886Z digest=sha256:f742c9fbcb844b78ba4d4f43a1de4669a21c43fa5361aa1d1430f1f16b25ea60

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

Resolution
verified exact
arxiv_id, observed 2026-05-12T18:44:36.795667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T18:44:36.636455Z digest=sha256:ef1faae22efc30f72cf008b55058dda08f3d0709defa85a2b1a5c5528d2c8595

Observation 085efc38-a393-4620-92df-15e089046415 · inbound

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

Resolution
unresolved
no resolver link, observed 2026-08-02T22:41:10.188157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:41:10.188157Z digest=sha256:96cd5c111a7cabc3e792c8b422e3fe3d0a48e7a81de22ebe61b91a0a86c2dd39

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

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:16:09.822818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T17:43:00.453164Z digest=sha256:fe35cc3790a922ebc9f5b958f70819404f2c40c136dd09c1b61e8301e4cc735a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T09:55:00.402411Z digest=sha256:942b096beaabded389283e8e031dea54ce46520f5fac457905bf5399bdd7120c

Observation 8e458f73-de16-4a2f-a076-142770202e66 · 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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:47:09.551839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T22:25:17.522240Z digest=sha256:164f716f07654508620a393c5a2c118d6f1bac78d391409a6c28948089365bef

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T08:35:34.470694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T07:17:42.045939Z digest=sha256:a3c753b2b096cb33b7e6580698f42ab7f270690bf1d699328bda8154a3252da9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:28:36.505775Z digest=sha256:659be9ad395cceb4865f5480534607ec887a435205492616a15b5dcfe6cc95d9

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

Resolution
unresolved
no resolver link, observed 2026-08-02T03:25:28.125862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:25:28.125862Z digest=sha256:cc0f4184cf895f1728b8d9c84afe07e94be475cc0e2f31d4d37f66bb0d8bad16

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:31:03.497846Z digest=sha256:8542ae72ade6f03db034160167fa38f1178a3f8331a134f35833108c47b20915

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:20:17.721810Z digest=sha256:06eb4cbcfd4b936673ca48af29508b5049730a05b19685f534fabfecb76f0f6e