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Paper Citation Record · LEDGER

Latent Action Learning Requires Supervision in the Presence of Distractors

As of 12 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 2026-08-12T06:34:41.77262+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=sha256:26792bb1df048f8d38986d217ec0cc83b0563923897b10875ec8ec7ebdc782d9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.681015Z digest=sha256:cbcb9991307e21fcdd3aa431cc7d62cac9ff52ca6b7713393bab477cdc14d430

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.765069Z digest=sha256:66134427c9b946197f7886bb6217ac432af848a0b6d5b37ae0329bc72fefaaf1

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.848806Z digest=sha256:4b8f67ec5aaeb222fe8fb2b69f73589a220c280a8250ae1b208f3089c6505a5e

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.854314Z digest=sha256:c8dd763b822d059761b83dbc3eaf640fecef8abfd6e69cbbc6d7d076e88fc565

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.859690Z digest=sha256:c8ec7133c36a75f9abae8e7ed44e45333f44ed222eede22c2150db2f695ccf02

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.865322Z digest=sha256:311c88d155a275eba089f232482959ae78a033a821e6839f961820b285f6cbde

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.870942Z digest=sha256:fd723bf0cd25d596a3edde8858a997fea1eddfae21598e954bcd37bad3842fb7

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.876507Z digest=sha256:8c5ab6fbd0d03c99eb3e029470b2cfba6eecf7397167f11729fd15fa11320f48

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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unresolved
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=sha256:0342aced0b3262a612e195ccc628c55d16a7cf134f409418132fd5e2284ca0d2

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.888341Z digest=sha256:f0b650a6a2e41795538387d2afb34be5f17e338ad9314028298a711f6e3e3457

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:a519550fd4eeda2285f5984592f601e7a7349e8435e5ec7f9ed011e64446d324

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=sha256:50664ea9cdc5db9a9319ebadfed80bcd82d2a63c7d05d6df2ffe1233a188dc18

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.905633Z digest=sha256:1ab8055e394945c77b12b817de3cfd87aa1f2079ef9b6166dae72a808923af56

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=sha256:4f7430b5971afbc9a3fdf6dec147eda4268dfc2d795030174fc5bedc27be570e

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.915999Z digest=sha256:9e286d2ae77c8314f83bfc26aea5bff5826a744004ec6fad615fc1efb2eda21a

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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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.920953Z digest=sha256:1f05ab1ab37b061313d0b7e79c5ae456a067d113d51cfce323e44f860d57d9b5

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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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.925893Z digest=sha256:2723f7f40d57a8ef17df9e2c56cf8656f4516bb93a9078dac44107f91abf5575

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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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.930674Z digest=sha256:12877ba374e686d3f2fef0b93fc734cf39159163a96e798c01bf0abf4307edce

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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unresolved
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=sha256:2d03f6a8b7690bcac61425160417166a419efe7907bab21fdf1336f979a0676e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:44.940282Z digest=sha256:58d1c986e5280b833940123ffc89ff237535a51ef2cc8754137ddb3aee21d6cd

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.944828Z digest=sha256:e2d1dfb0fde34f319d46861f1ec35723e58ddaa521fa297b572c6b24d4ed95a1

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.948905Z digest=sha256:bbf7a7111d591cb7f8ebe15c95b8e6f7ef76cf1f3d4cf0df39f955829746ab16

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.953288Z digest=sha256:5edd64709aa03ee8cfedba28955a413b9ea5cc992664b2627d5ebb97e7b72604

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=sha256:4e055471f3696b406357a0f69d895d318a34fdd019e987c621f4e9dc982cf335

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=sha256:2e08c7961b04ed068138bd2ffa7197221aa5bd685c6fc9c7f99701ffca817b3c

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.966531Z digest=sha256:dc101182fdc8501d0c888fec22a222d7df1096e9585602862098f7220da6d3b0

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.971607Z digest=sha256:5eec100c9c38f67c88b8666c306ffe3c1c2368a8bc016df8fa324b9eaef5b8ef

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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unresolved
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=sha256:28b34b4b0c81a79210f682265735fb002544d072c383676e34ac51a95a17c37c

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:44.982135Z digest=sha256:6867e871f87086acda3817adde3b843247e0d5e1b14e702ba2a03e302486c12f

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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unresolved
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=sha256:0524d3e209c1111e7fc52a37dc8e20086126ff00bbe597b526286f6da0bfd646

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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unresolved
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=sha256:86058b86dd05da85f864ee82fa57d15376212c7a61b8d2dfe67d6f0a8e0e8f61

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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unresolved
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=sha256:08d38c3c3a76d24f16575bfe8d3cca87343aab03b62717c1ea907d53856db0c4

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:e9241a21d1ca89f7e91408933556f7e017f1e780eb408bd986de296b5b1782fd

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.009287Z digest=sha256:7ea932c03ba5598a89578ab2babbfd2f3fa25a11a9781a1851ae94d999681353

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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unresolved
no resolver link, observed 2026-08-09T19:18:45.014925Z

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source=arxiv_source observed=2026-08-09T19:18:45.014925Z digest=sha256:5dda90ce4ab5886ca820cdac55092a1906cd9adfe4bc1eac03cfe6286d6c7133

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.020263Z digest=sha256:cc64e13ee1d74f9c238e6ae94016bf327366f402f2010a719334741303eb3b93

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.025435Z digest=sha256:212fcdfa5e15078246a19073e6d9c85f3b8a9f5da4bbbe5de6d50c0621b59e80

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:c41f300a2e0e212089eb712e3eefff11eacd84c52be0533d75acb707375355c8

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=sha256:5459ddeddc080f35f77d0deaea3bf8cae9576ffd90bf36d5806c88e4198c38fa

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=sha256:7d7bd2303f5751d63edd13af72e241812de86bd3a01622240838a59244dc50c6

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=sha256:72ba477e939288c3a5fb4c5749b7fb22023eeb3284a39aa62fbdf96eb0371178

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:d9229df9df5f147e5b9efb98be15abacef93ea28a292e1c239bee22674d04068

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.058143Z digest=sha256:42a503687035e4a5df0cac7ec20942165f4c6e71904b277147a845e1729d1867

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.063070Z digest=sha256:4a98be4eb685cba5bf2995cf1d8e16b87063eaf655a3d3ea1e775c9068f12bb2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.067876Z digest=sha256:fd7b4bea15e0eb32971f9351484c575a197d705197db7979e9c9f5009bf0ba22

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.072273Z digest=sha256:2e247dde93d804ca91d827b444885d7b93010c7dd1421b20a7159d42090b2976

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

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source=arxiv_source observed=2026-08-09T19:18:45.077358Z digest=sha256:54d1d03eab1fcf19ac2e34b50e493ea21380208c38e1342d1bf1cac551104b72

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=sha256:4b522edbb802d0f8ee5e3907ea88b4ac9292d0c5c5d61f892adc754e8e7b02fd

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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source=arxiv_source observed=2026-08-09T19:18:45.088262Z digest=sha256:b2e8f4dc87145b698acd14f6857f1a276f3e4516d21b75257fa5ba2dd3763fe8

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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source=arxiv_source observed=2026-08-09T19:18:45.093521Z digest=sha256:be24c30bcd5ee1f1ab8b32ae462a3d3cb7e9db2e1913a92d0852940d829ba4a0

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.098885Z digest=sha256:6650390405a69a94086889ae01b58eeefa86b7d0474929a3eaca73f7b7628622

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

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source=arxiv_source observed=2026-08-09T19:18:45.104131Z digest=sha256:37a73c3cf2b62545973437ec16f56f31e1d5b30a6d383fb460da7fea7c32750e

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.109739Z digest=sha256:8f49ad0675ff7b89491ce7b86c905880eb57872fba45ddc4198f07741cdc6ced

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:f0c0e4da770da3c1b9722c7d0ddd3e4cec45a67ca9315727c3f949a9c9f4bc06

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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source=arxiv_source observed=2026-08-09T19:18:45.120377Z digest=sha256:1da746be99fd1041a31a667c93cfb0e5509a35cb06bf15bb600083159b3adaa0

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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source=arxiv_source observed=2026-08-09T19:18:45.125629Z digest=sha256:f731886ec9b2b251e169cc8216f3587440e59f61c07cc518d070a4bcb3e48eff

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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source=arxiv_source observed=2026-08-09T19:18:45.131440Z digest=sha256:c87eb084fb3ef1130270efc3ea46c2f503f458c7bdf8e9204acbc87db80d6310

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

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source=arxiv_source observed=2026-08-09T19:18:45.136590Z digest=sha256:debeb51f2d5a20a88b2f2e8f1b1d2e545c5dcf989f7559ed147cddbb858531c6

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

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source=arxiv_source observed=2026-08-09T19:18:45.141670Z digest=sha256:de96935ffa2c824a718f65bb5de65d14857d28959c66a38db198a89307b0bbc7

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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source=arxiv_source observed=2026-08-09T19:18:45.146809Z digest=sha256:977debefc5a5d0e79d749b598b08a7c648ff88004d223334126a62bcdf9657f7

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

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source=arxiv_source observed=2026-08-09T19:18:45.151867Z digest=sha256:5bf5231a4a350e12e23d52e522fd9655c237ece4fae6ac36d19b67376797fe51

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.156974Z digest=sha256:8469023c597e06fff9bba7c599ec505ad5bb422fc83a06701ebab8e0f0997508

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.162683Z digest=sha256:27a897d8d1b9304e90cd5a8968388ae40c75e36f5a27519626600847064f7dfa

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:18:45.167910Z digest=sha256:7cb3c5feb48446ba369f8fe2e22c452d980a5fe8bd5d6c02cb29719d4673b80b

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.173254Z digest=sha256:46901a1ccbe29f614f4d604aef9ceabfb748b66ca75fdea0a16b855bd86788df

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=arxiv_source observed=2026-08-09T19:18:45.177625Z digest=sha256:ceb3004433a30b94aaec118bba9a2889e76db5a4ea0645973423a3f7995382d6

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.182227Z digest=sha256:84e3a5caa106f7d4b6e277996b409459a3d794611dc6d1b539dd82fb42fe875f

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.186546Z digest=sha256:02497309abd187db3934f79dfc74db5ba341088c443f974d2ab30107b863e372

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.190967Z digest=sha256:925058c0e6b1e69a90a540625b2c989a96e3be0a57c5ae12ba069a7601306dd8

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T19:18:45.195892Z digest=sha256:08a43304af0e2b7a231157d96c3266df03dde3aa0bb6d164525580cf85183687

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T21:52:02.893886Z digest=sha256:06d01de1377e31c44c9e345038f5b22ef455e74c99594ef5bd76a5bdd84fa207

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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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T18:44:36.636455Z digest=sha256:acf4b05595ca0519d985f063f818fa1ae700e2da4d0de1f7eed68a3ed1ed6307

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

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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=sha256:8af536592a5d321bd82356cf3d2fc6e49f8acdc16a3d317f7586b5fea097acdc

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-08T17:43:00.453164Z digest=sha256:e94c501fdd210650402bbd9ef62aad57c891748e8a43b55ad025e3396e3e02f2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T09:55:00.402411Z digest=sha256:ab39863d6580447f27eb7da7c2834851bc626f3275e4a8fbb19fe61478eae430

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T22:25:17.522240Z digest=sha256:acf9878a071cd46df6c340bc2f8f2a027669175b25cac1dd3a9916b3a323a04c

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-01T07:17:42.045939Z digest=sha256:92f5f044716c34a5f5a11bdba8c826f6bbe671696069f851baed9942ec047078

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T14:28:36.505775Z digest=sha256:870efa4b1d45ef8e9c34baba32811153e0ffa65af64df14769b2c208149c478b

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=sha256:4ae4171326f754f5d0c54b2ccfdb3a124fefc028187e25d4082e0d895ae3b94c

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=sha256:537de616f4d7982e4eef2f1a8b6d1bbfdac25ca768b9fe9ffef0e630debebba8

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=sha256:83f251085f649d3e271dfa601de66731b9032d8fafc2422600bdf0d782ae2120