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Paper Citation Record · LEDGER

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding

As of 13 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 5 inbound Pith citation observations for arXiv:2601.02295.

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

pith.paper-citation-record.v1
2601.02295 v2

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:37:32.329030Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:45:52.409766Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-08T02:44:27.670188Z

Reference resolution

100 of 104 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved96
  • parse uncertain4
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96f48573-c433-4c31-a281-849e42228fdb · outbound

This paper cites When to ask for help: Proactive interventions in autonomous reinforcement learning,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding When to ask for help: Proactive interventions in autonomous reinforcement learning,

Reference 1

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source=pdf_text observed=2026-08-03T12:37:22.864667Z digest=sha256:27fcf426362c0178c1768823f0a69d7b3edda12dd3b29b098f9b555ffeb02df0

Observation ccda861d-95e4-49dc-8184-610fd8b1b4fd · outbound

This paper cites Failure prediction with statistical guarantees for vision-based robot control,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Failure prediction with statistical guarantees for vision-based robot control,

Reference 2

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source=pdf_text observed=2026-08-03T12:37:22.953709Z digest=sha256:d5c84e44d0d543deeab316437895a1d8b463d9de38d1cf79ad80c2f92c9b8285

Observation 1c435bde-f4fb-4b78-81c8-0ef6d09ae403 · outbound

This paper cites Vision-language models as success detectors,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Vision-language models as success detectors,

Reference 3

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source=pdf_text observed=2026-08-03T12:37:23.061244Z digest=sha256:f48819c58e47553118b238b1a0ceeabe424517ee1eab22a062f54e397c64f39f

Observation 0a8f5214-31b0-48d5-b0b0-d28a85096fad · outbound

This paper cites Asking for help: Failure prediction in behavioral cloning through value approximation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Asking for help: Failure prediction in behavioral cloning through value approximation,

Reference 4

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source=pdf_text observed=2026-08-03T12:37:23.185112Z digest=sha256:c6dd96d87bb908de0c7f16e521a3b06a4e00edbe982521f1d5b11a1af9b01ced

Observation 655e1a2d-096e-4771-8523-100e285e6c8d · outbound

This paper cites Unpacking failure modes of generative policies: Runtime monitoring of consistency and progress,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unpacking failure modes of generative policies: Runtime monitoring of consistency and progress,

Reference 5

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source=pdf_text observed=2026-08-03T12:37:23.317551Z digest=sha256:0858d51b3829c03300c883648c31cd9a891ce3b495fc63bef7278fc9c664aa69

Observation 79164fe1-2548-49ff-90d4-6c00422129ea · outbound

This paper cites Grounding multimodal llms to embodied agents that ask for help with reinforcement learning,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Grounding multimodal llms to embodied agents that ask for help with reinforcement learning,

Reference 6

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source=pdf_text observed=2026-08-03T12:37:23.428232Z digest=sha256:f7da2c3fde4c5f90ec66771abf5a32d9b7e51df66df9e9b7aab5fe78c3f2d383

Observation ef762909-3c6c-4489-8971-46511cb49a76 · outbound

This paper cites Collabvla: Self-reflective vision-language-action model dreaming together with human,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Collabvla: Self-reflective vision-language-action model dreaming together with human,

Reference 7

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source=pdf_text observed=2026-08-03T12:37:23.569760Z digest=sha256:5d6f2c1f239a2645b41b27394b7eef6307822b0a6a4fec0ada33bd9c37e5d17a

Observation 82631a19-59a6-4170-8b0b-1a15e8616e2c · outbound

This paper cites SAFE: multitask failure detection for vision-language- action models,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding SAFE: multitask failure detection for vision-language- action models,

Reference 8

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source=pdf_text observed=2026-08-03T12:37:23.699365Z digest=sha256:2297870753c41b38ecf1e70d3962afe19382d4f35234736aa2213065380471a2

Observation 67001071-9029-4d53-9885-380c91798d56 · outbound

This paper cites REFLECT: summarizing robot experiences for failure explanation and correction,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding REFLECT: summarizing robot experiences for failure explanation and correction,

Reference 9

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source=pdf_text observed=2026-08-03T12:37:23.760109Z digest=sha256:2d73759acb1cf767dd63b0607c8c6e2bc16068cee1949083116f080c64cab1f7

Observation 3c439392-90b9-4d5c-bdbe-9759227bb9e6 · outbound

This paper cites AHA: A vision- language-model for detecting and reasoning over failures in robotic manipulation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding AHA: A vision- language-model for detecting and reasoning over failures in robotic manipulation,

Reference 10

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source=pdf_text observed=2026-08-03T12:37:23.869501Z digest=sha256:f4b70fec7e9f4daa6ffa6bdd41e8ac72c61033556b7e25ed819802a60e01461e

Observation 1cde713b-456c-4a88-a05a-c274a350b924 · outbound

This paper cites KitchenVLA: Iterative vision-language corrections for robotic execution of human tasks,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding KitchenVLA: Iterative vision-language corrections for robotic execution of human tasks,

Reference 11

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source=pdf_text observed=2026-08-03T12:37:23.971198Z digest=sha256:30f65bd17186e19beddeef7cc6c33071abe76f6a6f9b1c8ad066f7a2d9e91a46

Observation ed39aa5b-d2de-46cb-8ad7-7366ba905e32 · outbound

This paper cites STAR: A Foundation Model-driven Framework for Robust Task Planning and Failure Recovery in Robotic Systems.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding STAR: A Foundation Model-driven Framework for Robust Task Planning and Failure Recovery in Robotic Systems

Reference 12

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source=pdf_text observed=2026-08-03T12:37:24.054453Z digest=sha256:3a8d95539279232dfb99d39a63d8aa88019f3ee1459a7ea4aed84d1a710dd105

Observation 4d06b377-2bd0-4655-b5ed-efa8e076c8fb · outbound

This paper cites Openvla: An open-source vision-language-action model,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Openvla: An open-source vision-language-action model,

Reference 13

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source=pdf_text observed=2026-08-03T12:37:24.145374Z digest=sha256:f97d973050b4282cacc0371b33c3cbe7179ae1b43aff782ea42fec82263bfbf8

Observation 078e7b48-c4e7-4fdd-ab3b-7f8db8b30b2b · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 14

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source=pdf_text observed=2026-08-03T12:37:24.298121Z digest=sha256:431f1373d269bbe9ab775cfb8d3918a0ef985a3582b5c9cd173e8e3102484e7d

Observation 815aa5bd-c3f8-494e-a2fc-25a6ab02e8c5 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 15

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source=pdf_text observed=2026-08-03T12:37:24.371572Z digest=sha256:857196381a7a49ab80f29370c2323ecdf72eb04b1cd95d45863f0e0b5a35364a

Observation 51d84c37-003a-417d-8320-3a1d8cb2da01 · outbound

This paper cites Policy adaptation via language optimization: Decomposing tasks for few-shot imitation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Policy adaptation via language optimization: Decomposing tasks for few-shot imitation,

Reference 16

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source=pdf_text observed=2026-08-03T12:37:24.487678Z digest=sha256:293fd3b1dd3acc0050835ca889d17ec57fd99ee00b5a682b1e7ee2c94d92355f

Observation 5d3eeb53-4de4-49ff-9163-060000a59307 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 17

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source=pdf_text observed=2026-08-03T12:37:24.605491Z digest=sha256:fb42bdab8a58f28824c02629f9cad121ef5858ed120818b6d1a6addf170357c3

Observation 99454dcb-ff29-4dda-a87e-4b7beabcaf7e · outbound

This paper cites Hi robot: Open-ended instruction following with hierarchical vision-language-action models,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Hi robot: Open-ended instruction following with hierarchical vision-language-action models,

Reference 18

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source=pdf_text observed=2026-08-03T12:37:24.725101Z digest=sha256:7c0b50cd53d8f39e0ae3627fc6a91d11861baee2661c3ae274082733f4c2b4a4

Observation 4d8e0e91-6c78-4c10-809b-a51bf2550e45 · outbound

This paper cites Seqvla: Sequential task execution for long-horizon manipulation with completion-aware vision- language-action model,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Seqvla: Sequential task execution for long-horizon manipulation with completion-aware vision- language-action model,

Reference 19

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source=pdf_text observed=2026-08-03T12:37:24.810205Z digest=sha256:a66427157f60006338e37eb191c7965fb51547f0e19af718914f649c8a4626b3

Observation 2093ad69-9815-4508-9db8-7a151e05fa6e · outbound

This paper cites Long-vla: Unleashing long-horizon capability of vision language action model for robot manipulation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Long-vla: Unleashing long-horizon capability of vision language action model for robot manipulation,

Reference 20

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source=pdf_text observed=2026-08-03T12:37:24.887046Z digest=sha256:90d66ceed9c82592d573f09295f909eab2f95bc34e457a01d1e866d378e23591

Observation 271fab47-90b6-4bd2-b194-61138e8992a7 · outbound

This paper cites Tactical rewind: Self-correction via backtracking in vision-and-language navigation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Tactical rewind: Self-correction via backtracking in vision-and-language navigation,

Reference 21

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source=pdf_text observed=2026-08-03T12:37:25.085810Z digest=sha256:7b891b4460fdbb44c901eab4f4ba8623d531d213f11cab50b402d605b980d98a

Observation a3a5e0bd-a4b9-4f8f-b1ba-059d0c850fad · outbound

This paper cites Smartway: Enhanced waypoint prediction and backtracking for zero- shot vision-and-language navigation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Smartway: Enhanced waypoint prediction and backtracking for zero- shot vision-and-language navigation,

Reference 22

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source=pdf_text observed=2026-08-03T12:37:25.262173Z digest=sha256:34dea2bcb80b0301f124f2f916ec9127b910b169e585340a028451b90258c3b7

Observation 0a2c4195-af2c-42dd-b2a1-ddffdf74ec3f · outbound

This paper cites To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment

Reference 23

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source=pdf_text observed=2026-08-03T12:37:25.424813Z digest=sha256:e19a475665e1224a671f43798eb2d47cdac1baa80a284919ae24714f490b6293

Observation c4a529fe-d812-40db-8539-4ed5cae8289b · outbound

This paper cites The Llama 3 Herd of Models.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding The Llama 3 Herd of Models

Reference 24

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source=pdf_text observed=2026-08-03T12:37:25.533473Z digest=sha256:a3c932a2d496e15c16a209c7ebc4ee76e279b6767062de45874f6f37acc0830c

Observation f88235a8-9b70-4c05-990f-17976cfa1d8a · outbound

This paper cites Language models are few-shot learners,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Language models are few-shot learners,

Reference 25

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source=pdf_text observed=2026-08-03T12:37:25.648613Z digest=sha256:c72b6eee17613647baa24bda6efb048461558e84f2b5480e74d8c367c5e18474

Observation fa042d40-abe6-4ac5-a668-85bc52545051 · outbound

This paper cites Spatialpin: Enhancing spatial reasoning capabilities of vision-language models through prompting and interacting 3d priors,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Spatialpin: Enhancing spatial reasoning capabilities of vision-language models through prompting and interacting 3d priors,

Reference 26

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source=pdf_text observed=2026-08-03T12:37:25.776044Z digest=sha256:f86ee0e8c8abe87bd43140a0617a8d249f67b7adb4a34f4fa12c63882110b763

Observation d93636d1-09b8-4bd6-be76-d5f4553d09ec · outbound

This paper cites Touch and go: Learning from human-collected vision and touch,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Touch and go: Learning from human-collected vision and touch,

Reference 27

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source=pdf_text observed=2026-08-03T12:37:25.913888Z digest=sha256:5c62ff7121c4ce0b748532f64d0d8650fc935d3fb21431c0db59c613d2ab210c

Observation 9d52b9b1-a4ef-4eea-b52e-6443080e9c3b · outbound

This paper cites Improved baselines with visual instruction tuning,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Improved baselines with visual instruction tuning,

Reference 28

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source=pdf_text observed=2026-08-03T12:37:26.035947Z digest=sha256:531784eb07f65c8ac9750ff056a2a0da24a701f7c068c459402fa474d29a508d

Observation ab1cd4d3-1510-49ae-b69a-21ef4dc34909 · outbound

This paper cites Minimum bayes-risk decoding for statistical machine translation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Minimum bayes-risk decoding for statistical machine translation,

Reference 29

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source=pdf_text observed=2026-08-03T12:37:26.114491Z digest=sha256:5c78951091ef576ad9414c1ba3dc059881bb98e152d2978fd79c9f68cbce0a5a

Observation a1c5f06e-d6db-43d4-a858-1e28ddb12a16 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and RT-X models : Open x-embodiment collaboration,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Open x-embodiment: Robotic learning datasets and RT-X models : Open x-embodiment collaboration,

Reference 30

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source=pdf_text observed=2026-08-03T12:37:26.201978Z digest=sha256:4f01eaa62e80d229532da3489b67911765076204a7dd5cb9d04eb1719af03f88

Observation 16eea73a-f9e1-4201-98c3-2d480f7a9844 · outbound

This paper cites RDT-1B: a diffusion foundation model for bimanual manip- ulation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding RDT-1B: a diffusion foundation model for bimanual manip- ulation,

Reference 31

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source=pdf_text observed=2026-08-03T12:37:26.369692Z digest=sha256:770c79971d7275ccea1d0279db476b626c26d6bf1bfe5988027cff3184007d13

Observation 976c9c12-aeab-4702-ab6d-c72d38a3c96b · outbound

This paper cites Robomonkey: Scaling test-time sampling and veri- fication for vision-language-action models,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Robomonkey: Scaling test-time sampling and veri- fication for vision-language-action models,

Reference 32

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source=pdf_text observed=2026-08-03T12:37:26.520585Z digest=sha256:ddf5fbafa60c215083ff6cb8e42fcb8930734121635d26649694607b65f23977

Observation ee316041-b288-4ee6-b8be-d3535732d5c9 · outbound

This paper cites Rover: Robot reward model as test-time verifier for vision- language-action model,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Rover: Robot reward model as test-time verifier for vision- language-action model,

Reference 33

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source=pdf_text observed=2026-08-03T12:37:26.646009Z digest=sha256:d14415569c61edbbc84301f0c8307cfc31c97616ffa483444d30ee04b575e83e

Observation 524dfbd5-fb45-429f-a8db-f3a49ba13001 · outbound

This paper cites Sampling-based approximations to minimum bayes risk decoding for neural machine translation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Sampling-based approximations to minimum bayes risk decoding for neural machine translation,

Reference 34

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source=pdf_text observed=2026-08-03T12:37:26.737561Z digest=sha256:79b3e2871d8de6f86659e463fee93b1e89f710a934467f8a443fb16aa5d45960

Observation a92712b9-f722-4f6a-a88f-44a1cb779766 · outbound

This paper cites On extending direct preference optimization to accommodate ties,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding On extending direct preference optimization to accommodate ties,

Reference 35

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source=pdf_text observed=2026-08-03T12:37:26.872170Z digest=sha256:00fc68b2a3a5bc46b3cfb7c631475ff489e163406fad9212484783afd964a0ec

Observation 0fb963ff-24c1-4edd-be22-d575d2551317 · outbound

This paper cites Direct preference optimization for neural machine translation with minimum bayes risk decoding,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Direct preference optimization for neural machine translation with minimum bayes risk decoding,

Reference 36

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source=pdf_text observed=2026-08-03T12:37:26.987996Z digest=sha256:a0ebf560e4e3c37e9c92e44cbfaa07a45a7950de729c1e2173d49fab15292ca9

Observation 705bcd79-6b3b-4464-8987-ad77eba0a37a · outbound

This paper cites Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

Reference 37

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source=pdf_text observed=2026-08-03T12:37:27.032739Z digest=sha256:b371898e3e242c7d900272fb99dd485a049faf3ef408ed14cc5f02439e7ee8c6

Observation 98337625-6bd8-4b96-be8e-a0e5d2eb1a75 · outbound

This paper cites Sparse and complete latent organization for geospatial semantic segmentation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Sparse and complete latent organization for geospatial semantic segmentation,

Reference 38

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source=pdf_text observed=2026-08-03T12:37:27.105629Z digest=sha256:cd9182ac813d292b286feb7fbc56def078d8bf6d8724a6b954327ec341b9f043

Observation 8ec3bd44-8ef5-4001-969d-ae72b918ffbd · outbound

This paper cites Error-aware imitation learning from teleopera- tion data for mobile manipulation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Error-aware imitation learning from teleopera- tion data for mobile manipulation,

Reference 39

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source=pdf_text observed=2026-08-03T12:37:27.157681Z digest=sha256:024f6704573be49f319e6449616bcc49c18ec71fd0e3285ef968898366924abd

Observation aa9cf348-b02b-4ed3-98bf-11b912367380 · outbound

This paper cites Model-based runtime monitoring with interactive imitation learning,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Model-based runtime monitoring with interactive imitation learning,

Reference 40

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source=pdf_text observed=2026-08-03T12:37:27.225844Z digest=sha256:4e3fb81dc416e879ce9e1f1fc55f0c59973ba9fc3cad570adf86f750e60524ec

Observation 0e7b5b6a-ae50-4d31-b72f-192b3c3392df · outbound

This paper cites Real-time anomaly detection and reactive planning with large language models,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Real-time anomaly detection and reactive planning with large language models,

Reference 41

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source=pdf_text observed=2026-08-03T12:37:27.333690Z digest=sha256:242eb32839ea224276ee65cc770c099daed3456e000269604d50cda58fb420c1

Observation a21f5357-0cb7-4a1e-b18d-aae771efba03 · outbound

This paper cites Doremi: Grounding language model by detecting and recovering from plan-execution misalignment,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Doremi: Grounding language model by detecting and recovering from plan-execution misalignment,

Reference 42

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source=pdf_text observed=2026-08-03T12:37:27.426730Z digest=sha256:802c5762ffc7f6ea461a3e8dbd4ecdf0aded8f086241717bb96d8c2c989c9853

Observation f6d0d885-b373-4912-8df6-9478e458394b · outbound

This paper cites A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation

Reference 43

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source=pdf_text observed=2026-08-03T12:37:27.492757Z digest=sha256:0068e2b280f7095f3b6086f8f999e9e19e303b9fd0529d8ef3507229daf07b78

Observation e019a7b2-47ce-4726-9d2d-3aeecdf827df · outbound

This paper cites Coopera: Continual open-ended human-robot assistance,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Coopera: Continual open-ended human-robot assistance,

Reference 44

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source=pdf_text observed=2026-08-03T12:37:27.596185Z digest=sha256:93f9dd6b626cc54220038acf98810cdd945c0ed62d3a067fecae5825f4cea10f

Observation 9ce73146-8ceb-4c0e-9a88-df5f5ecf1c66 · outbound

This paper cites Multi-task interactive robot fleet learning with visual world models,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Multi-task interactive robot fleet learning with visual world models,

Reference 45

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source=pdf_text observed=2026-08-03T12:37:27.706608Z digest=sha256:addc907d0e8659930464c675815912ab11f700103c5083cf5ad5ae59263c0025

Observation a1e96a8a-6849-488d-8b6e-afb9db4c2b8b · outbound

This paper cites Cot-vla: Visual chain-of-thought reasoning for vision-language-action models,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Cot-vla: Visual chain-of-thought reasoning for vision-language-action models,

Reference 46

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source=pdf_text observed=2026-08-03T12:37:27.779470Z digest=sha256:bbc3f3c410834f091737fe483de0e2ec92f8189e94150ac2587e4a86827078e9

Observation da86f2f4-a9b6-4b5c-8c55-9474ab349eaf · outbound

This paper cites Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation

Reference 47

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source=pdf_text observed=2026-08-03T12:37:27.872949Z digest=sha256:fced58ea25f3112ee881af2e62885273fb131aa291711dbb5f7ea14c421cc0b5

Observation 8bc65591-6b88-4c89-bb64-14a49b14b01e · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 48

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source=pdf_text observed=2026-08-03T12:37:27.943411Z digest=sha256:037e8b35871abbc71cc08665fdd295f048cb902b3120fcaf4ec769b08da1a1ef

Observation c3bda5fc-c336-4bdd-9ab7-3ba3d20f00b8 · outbound

This paper cites Dexvla: Vision- language model with plug-in diffusion expert for general robot control,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Dexvla: Vision- language model with plug-in diffusion expert for general robot control,

Reference 49

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source=pdf_text observed=2026-08-03T12:37:28.031346Z digest=sha256:455100d2a136f5e12dccda7b2b0778682b657f12bcec996d01539463b18e7cb6

Observation 73daf7b2-729a-466c-8479-517b2077b1b2 · outbound

This paper cites RDD: retrieval-based demon- stration decomposer for planner alignment in long-horizon tasks,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding RDD: retrieval-based demon- stration decomposer for planner alignment in long-horizon tasks,

Reference 50

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source=pdf_text observed=2026-08-03T12:37:28.136773Z digest=sha256:936dd847e7a3fb6b4de3b31391e37f38e2a4cbf4071d3c6fb9cc2af636e8468d

Observation 9a1b8050-a274-4180-bfc6-f6028450e9bd · outbound

This paper cites Robotic control via embodied chain-of-thought reasoning,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Robotic control via embodied chain-of-thought reasoning,

Reference 51

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source=pdf_text observed=2026-08-03T12:37:28.209976Z digest=sha256:4bea73b474ee95709a1b6e328cdd37938866c1e98677d030c77a3b006041d511

Observation fc0c5f7c-7bd3-4a95-ba2c-42dae6313373 · outbound

This paper cites Chatvla: Unified multimodal understanding and robot control with vision-language-action model,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Chatvla: Unified multimodal understanding and robot control with vision-language-action model,

Reference 52

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source=pdf_text observed=2026-08-03T12:37:28.283583Z digest=sha256:ee16b9052bae4394c7bd2881a246cf34acbe3063e425cbe6380140c9415a006a

Observation 79570ca6-6242-4afd-b246-3b907d6d36e9 · outbound

This paper cites Chatvla-2: Vision- language-action model with open-world embodied reasoning from pretrained knowledge,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Chatvla-2: Vision- language-action model with open-world embodied reasoning from pretrained knowledge,

Reference 53

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source=pdf_text observed=2026-08-03T12:37:28.345828Z digest=sha256:1a3cac6246e44f2a8bcaecedbda1317e02d73289fb3f7affc467682208b4fa8c

Observation ea16e8f3-8e4b-49ae-b335-dc2b028b125a · outbound

This paper cites Training strategies for efficient embodied reasoning,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Training strategies for efficient embodied reasoning,

Reference 54

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source=pdf_text observed=2026-08-03T12:37:28.427720Z digest=sha256:d3a5b36fa63fc3896ba13f228e8c9a277b6393857ab11430d6d8b5b40731003c

Observation 0110820c-4239-499e-a7bd-9fce4a723f27 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding World Simulation with Video Foundation Models for Physical AI

Reference 55

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source=pdf_text observed=2026-08-03T12:37:28.494262Z digest=sha256:5ab92dd4b2e474896404fe33c17785df9a95dd72ad5f7a373f8794fb716a3085

Observation 1eb593a2-43c0-4761-a5df-1ddf8e9c6f03 · outbound

This paper cites Run-time observation interventions make vision-language-action models more visually robust,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Run-time observation interventions make vision-language-action models more visually robust,

Reference 56

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source=pdf_text observed=2026-08-03T12:37:28.604796Z digest=sha256:561268269bda0314e8169165b34e206f1c27636e3a017e8dad905fd272ec3936

Observation 41ca8958-0f7c-4feb-b1a0-d1f785f762f8 · outbound

This paper cites IA-VLA: input augmentation for vision-language-action models in settings with semantically complex tasks,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding IA-VLA: input augmentation for vision-language-action models in settings with semantically complex tasks,

Reference 57

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source=pdf_text observed=2026-08-03T12:37:28.658649Z digest=sha256:311a698a33a831dfe2622f8cc659a6c63e83dd6fa3cb35fc0c71be40d4b58af7

Observation 784584c4-eb2f-4f1f-9d40-1459397462fc · outbound

This paper cites Visual prompting via image inpainting,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Visual prompting via image inpainting,

Reference 58

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source=pdf_text observed=2026-08-03T12:37:28.735440Z digest=sha256:41302c597cc895d30bdf7fb15d5c8a41156f191a9bfdcac4a5a4d67e64cf8347

Observation 22945ce7-6fd1-4ad1-8d47-23e65e959c48 · outbound

This paper cites Scaling LLM test-time compute optimally can be more effective than scaling model parameters,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Scaling LLM test-time compute optimally can be more effective than scaling model parameters,

Reference 59

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source=pdf_text observed=2026-08-03T12:37:28.824172Z digest=sha256:d301b994166c35daf7295df1de67fd97cf7cb76b9fc8702fdc1e66b2342ebaf4

Observation e8d7d9e5-ee13-4185-ace0-9db6fc21e592 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 60

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source=pdf_text observed=2026-08-03T12:37:28.878438Z digest=sha256:481c8792274e75b278687ce4c93ad274b86bd548a86ddae14b525c5c98ec4bda

Observation 8919c781-7dd2-475d-abb2-17aaeda0d1af · outbound

This paper cites Introducing openai o3 and o4-mini,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Introducing openai o3 and o4-mini,

Reference 61

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source=pdf_text observed=2026-08-03T12:37:28.971371Z digest=sha256:53485ec6dd305e283a8cf675a05cb43b951f2b214eb14f541403f4d4fe28bb0b

Observation 2f4b63f3-7cf5-4162-bbab-9aa18fca234d · outbound

This paper cites Steering your generalists: Improving robotic foundation models via value guidance,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Steering your generalists: Improving robotic foundation models via value guidance,

Reference 62

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source=pdf_text observed=2026-08-03T12:37:29.035874Z digest=sha256:11d68b2641b9c5422dac0cd5b3002ef04f3edba7240ac093e663fcc8b7377478

Observation c5f82710-3f22-4662-baea-5ecf408120c3 · outbound

This paper cites Navid: Video-based VLM plans the next step for vision-and-language navigation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Navid: Video-based VLM plans the next step for vision-and-language navigation,

Reference 63

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source=pdf_text observed=2026-08-03T12:37:29.131212Z digest=sha256:bf8f9370a0758f3ffef00e6d0ccb32ec2ee81c0e9eeaab4fa355a6e580f6ccdc

Observation d9a2b2f8-5784-477c-8ea3-819f69c592ea · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Chain-of-thought prompting elicits reasoning in large language models,

Reference 64

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source=pdf_text observed=2026-08-03T12:37:29.205893Z digest=sha256:45520f05a892c8657f0cbfd533b2a1b5fcc094140de4c66e1f8cfb13561e9150

Observation 0e5c60f0-8c0e-4b38-9e20-e1494264d24d · outbound

This paper cites Introducing gpt-4.1 in the api,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Introducing gpt-4.1 in the api,

Reference 65

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source=pdf_text observed=2026-08-03T12:37:29.278433Z digest=sha256:8cddba1d1b1628d6f7235ac55d74243e03ba9223aa0a17d681bed559b757a9da

Observation fa34edf2-392f-4d1b-85f4-e60a579a3c5a · outbound

This paper cites Fine-tuning vision-language-action models: Optimizing speed and success,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Fine-tuning vision-language-action models: Optimizing speed and success,

Reference 66

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source=pdf_text observed=2026-08-03T12:37:29.348086Z digest=sha256:a797c8289873ca7b4488d4f0757920b682ccff9390a3cd98cfec02eb4ec9eaae

Observation d3bee82f-4be7-426c-9702-cdd3972c046d · outbound

This paper cites Introducing gpt-5.2,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Introducing gpt-5.2,

Reference 67

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source=pdf_text observed=2026-08-03T12:37:29.452465Z digest=sha256:92e4e6cbd7abb3c0792520575ec6cbd6a1531c5676f7ec4c48b29f69102120d2

Observation 3fd9eff5-7866-4cb7-b24f-231e4b7a66d0 · outbound

This paper cites LIBERO: benchmarking knowledge transfer for lifelong robot learning,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding LIBERO: benchmarking knowledge transfer for lifelong robot learning,

Reference 68

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source=pdf_text observed=2026-08-03T12:37:29.530462Z digest=sha256:fa6244119b35a60a1782044c64fc437bfcc22ea8ff06be3bec59e1b16803287d

Observation 7bb66f5c-50b7-4dfe-9d75-ba55a97de23f · outbound

This paper cites Tracevla: Visual trace prompting enhances spatial- temporal awareness for generalist robotic policies,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Tracevla: Visual trace prompting enhances spatial- temporal awareness for generalist robotic policies,

Reference 69

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source=pdf_text observed=2026-08-03T12:37:29.577126Z digest=sha256:9524f9f08639499aea5ef1a5b03c6a05124799c45beb6b6d6aa4c7a1fed734da

Observation 055c64ed-8d24-416a-931c-29fe51fed4a1 · outbound

This paper cites Thinkact: Vision-language-action reasoning via reinforced visual latent planning,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Thinkact: Vision-language-action reasoning via reinforced visual latent planning,

Reference 70

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source=pdf_text observed=2026-08-03T12:37:29.673550Z digest=sha256:2966b9b33e6899bbdcf54e754f3120c3815004fde86eeae095cbf882d9f1c3de

Observation 3a33e743-9a3b-4e4c-ba36-40f2af890710 · outbound

This paper cites FPC-VLA: A vision-language-action framework with a supervisor for failure prediction and correction,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding FPC-VLA: A vision-language-action framework with a supervisor for failure prediction and correction,

Reference 71

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Observation 572daf2e-c3a1-4903-9f83-8fe46e8b0f9c · outbound

This paper cites Cogvla: Cognition- aligned vision-language-action model via instruction-driven routing & sparsification,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Cogvla: Cognition- aligned vision-language-action model via instruction-driven routing & sparsification,

Reference 72

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source=pdf_text observed=2026-08-03T12:37:29.848740Z digest=sha256:804b96f3a67f5593e9cb0cd3d078c257a354a4e605497c2d10c86fd26522bd39

Observation f53e2420-78a8-4a23-bc9f-cb973236383f · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 73

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source=pdf_text observed=2026-08-03T12:37:29.944298Z digest=sha256:5672e13c07817dcd5b853aa9316ad11b6250061f4241ada18cf93f10b936a8ea

Observation 5454ef12-cc56-4385-836e-8577b5334fcd · outbound

This paper cites Octo: An open-source generalist robot policy,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Octo: An open-source generalist robot policy,

Reference 74

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source=pdf_text observed=2026-08-03T12:37:30.051375Z digest=sha256:6ba3bb12aa3f97948e0aa86251b9fe2a2aeabbdd499a1aa98496f45c17759016

Observation 28b38013-8abc-4b3f-ac25-e05d26b0bbb5 · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 75

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source=pdf_text observed=2026-08-03T12:37:30.141155Z digest=sha256:9a35d38e294edb7a46706474415a043abbf09c987146a724b1b0de121170143a

Observation 44e5489d-70ec-486b-bd33-3ad2a84c938f · outbound

This paper cites Improving minimum bayes risk decoding with multi-prompt,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Improving minimum bayes risk decoding with multi-prompt,

Reference 76

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source=pdf_text observed=2026-08-03T12:37:30.219438Z digest=sha256:f67da267f6325f61cee8bcea120aebd1326072ad6d157bd71563060f596a5d9e

Observation b95f13bb-22ee-4505-8876-e0811f4b0a74 · outbound

This paper cites Fast best-of-n decoding via speculative rejection,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Fast best-of-n decoding via speculative rejection,

Reference 77

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source=pdf_text observed=2026-08-03T12:37:30.316296Z digest=sha256:b62bf44e3cf8c96a1007ed9c875110263dcffaa3f9d4b5a1fca44c3640c995f6

Observation 3f20722c-c7af-4680-b66b-0a9f92b36a15 · outbound

This paper cites Towards understanding sycophancy in language models,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Towards understanding sycophancy in language models,

Reference 78

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source=pdf_text observed=2026-08-03T12:37:30.405851Z digest=sha256:31047a52ef6782e69c82c27e659d450a692533f50c814bb1276362d960ce59ff

Observation 7f956d87-2542-44b9-8373-ce1a52e94c01 · outbound

This paper cites Efficient vertical federated learning with secure aggregation,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Efficient vertical federated learning with secure aggregation,

Reference 79

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source=pdf_text observed=2026-08-03T12:37:30.492554Z digest=sha256:8816e18497303fd22263b18c1e52bbb9636b7f85f11daef3a57a6d12ea34f3dd

Observation 5a993248-9e0e-48b9-bd47-ee029d48d2a3 · outbound

This paper cites Secure Vertical Federated Learning Under Unreliable Connectivity.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Secure Vertical Federated Learning Under Unreliable Connectivity

Reference 80

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source=pdf_text observed=2026-08-03T12:37:30.560341Z digest=sha256:f8430afaee8609f10320a38831d2742b204e3d1d11c37cf2e7239dbf08925b7f

Observation 1b63b4a6-8f29-4aa8-bff7-aa81908a9277 · outbound

This paper cites Gradient-less federated gradient boosting tree with learnable learning rates,.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Gradient-less federated gradient boosting tree with learnable learning rates,

Reference 81

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source=pdf_text observed=2026-08-03T12:37:30.660086Z digest=sha256:706fc87ffc8e94a44fec816bb12b4ccbfd204bd24f5f12dec4254f2342bdd234

Observation f8d29124-54ce-4de8-b058-04db42b27004 · outbound

This paper cites Your job is to decompose this task into a minimal set of formal subtasks that a robot must perform to complete the task.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Your job is to decompose this task into a minimal set of formal subtasks that a robot must perform to complete the task

Reference 82

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source=pdf_text observed=2026-08-03T12:37:30.732695Z digest=sha256:d46c1654bb913339ee0d5ae778a8e246ec896122d1a83ff6efe6f732649ece8a

Observation c8d82d51-2c49-4511-800f-4a9d02311da7 · outbound

This paper cites - Do not over-decompose — prefer atomic but essential steps.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding - Do not over-decompose — prefer atomic but essential steps

Reference 83

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source=pdf_text observed=2026-08-03T12:37:30.819788Z digest=sha256:0a20535bd237ce3658bd8d99fcf2cc62c391ccb16c4fed923a2ca75dfc1c449d

Observation 43217c1d-48ad-4339-9b7b-6c4ffc1b8ac4 · outbound

This paper cites - Mention relative spatial cues (e.g., above the drawer handle) if implied in the task.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding - Mention relative spatial cues (e.g., above the drawer handle) if implied in the task

Reference 84

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source=pdf_text observed=2026-08-03T12:37:30.917604Z digest=sha256:263ddee618852248409804fd6d2fa0cf5d0647c636359cc932cf3a2921328401

Observation a9b8fd7e-930b-40bc-8d85-52990a4912ae · outbound

This paper cites an unresolved cited work.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unresolved cited work

Reference 85

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source=pdf_text observed=2026-08-03T12:37:31.041180Z digest=sha256:1000151691b2e82c93969072cb2885265e97424d5ed64ea91a2771b222e54267

Observation 97f68db3-8caf-4a1f-9a96-e6a49e343b4d · outbound

This paper cites Move the gripper.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Move the gripper

Reference 86

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source=pdf_text observed=2026-08-03T12:37:31.145739Z digest=sha256:c636547ca76f5402f27bec0b44731bd10ed6dfd3f71b95a78ff68c4a711aab08

Observation 43e02d42-1bb8-4695-b63c-41ff34ad04e1 · outbound

This paper cites Rotate the gripper.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Rotate the gripper

Reference 87

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source=pdf_text observed=2026-08-03T12:37:31.272796Z digest=sha256:b24546651bc2600ebb429e4412dcdebf06f45fb012011b9c424b0bdadbeb9afd

Observation 4ba08915-aab7-4458-b303-d47a51fb2d48 · outbound

This paper cites Open the gripper.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Open the gripper

Reference 88

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source=pdf_text observed=2026-08-03T12:37:31.388317Z digest=sha256:004306d8778ed10565f225a71f0b6b9c2d00cb917fa3cc139a892674ed2449e9

Observation 490e826d-9011-49b0-ad71-bf810ba0b656 · outbound

This paper cites Close the gripper.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Close the gripper

Reference 89

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source=pdf_text observed=2026-08-03T12:37:31.466096Z digest=sha256:ff68f115cbd66c9ed1409719cb1292b631627f1d520ef8b02631a3b83c80b1e7

Observation d837681f-1bed-410a-b039-0a9e7e22c822 · outbound

This paper cites an unresolved cited work.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unresolved cited work

Reference 90

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source=pdf_text observed=2026-08-03T12:37:31.626639Z digest=sha256:4d53044fed2dca9884ddbad817fc20e41a1b998d196602bb89ef6c2a5ed4e676

Observation b0e78d67-27e4-4b8d-a1c9-ac84e1ca44fb · outbound

This paper cites <subtask_1>.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding <subtask_1>

Reference 91

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source=pdf_text observed=2026-08-03T12:37:31.736829Z digest=sha256:8271c6842515aec3d5c927d884114737eacb1fa278e6d8b7d6e678a23e2e2c6f

Observation 9a3a0885-53b5-44fe-9cc0-f45f39d3680e · outbound

This paper cites an unresolved cited work.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unresolved cited work

Reference 92

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source=pdf_text observed=2026-08-03T12:37:31.810453Z digest=sha256:733205c59959b5f331a9268d1ade87c93653d20733e7bfce6a57d9c76c38e095

Observation 36ae27db-7996-42b0-a268-8e616802f3dd · outbound

This paper cites an unresolved cited work.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unresolved cited work

Reference 93

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source=pdf_text observed=2026-08-03T12:37:31.866325Z digest=sha256:619f7d1fa532c1e4948ea34617643ef9db75a78760ad16e9f08d039c72b3e19a

Observation 1a8eb945-c468-40d2-8caf-ed906ebb862c · outbound

This paper cites <move_primitive>.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding <move_primitive>

Reference 94

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source=pdf_text observed=2026-08-03T12:37:31.952350Z digest=sha256:e0215bc5b25462bd32c639e9a8329f7fa624d6dc6dde33811137066d556ac604

Observation 1fa496b7-1de5-4282-9556-a0f1da430c09 · outbound

This paper cites stop" labels often appear even when the robot is still moving. - Treat.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding stop" labels often appear even when the robot is still moving. - Treat

Reference 95

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source=pdf_text observed=2026-08-03T12:37:32.049612Z digest=sha256:c72ca700d3efe846ddbc88429bc4d73ee6e737c09076f6d69f526ab6cd54ea8c

Observation c296860a-c3b6-4b0b-bbad-b739248671ef · outbound

This paper cites - Cross-reference other movement labels to decide whether a short-duration label is meaningful or just noise.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding - Cross-reference other movement labels to decide whether a short-duration label is meaningful or just noise

Reference 96

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source=pdf_text observed=2026-08-03T12:37:32.102052Z digest=sha256:ed395a6176e8b9d6f40db96981f3fa38df72c5f045d965164786ee194836921b

Observation 0968f3fc-d5e7-46f5-97f2-05fcdaf85c58 · outbound

This paper cites subtask_1.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding subtask_1

Reference 97

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source=pdf_text observed=2026-08-03T12:37:32.153940Z digest=sha256:7906b277165b6680d4eae13ce22c279e1b55f5c60e8ca1817a96a4e81a41434c

Observation bd99d636-2adb-45fa-94c0-0d40399750c4 · outbound

This paper cites an unresolved cited work.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-03T12:37:32.214810Z digest=sha256:bf7c8a653a183961817cabb28a160762cf2e23f592028447ea8918efc81ca8ab

Observation 1f2514c3-297e-490f-9044-a42030568759 · outbound

This paper cites an unresolved cited work.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-03T12:37:32.272008Z digest=sha256:947aab9b881c6ee028a39dde008e754790853b252a77029f1b0d6a0cffb6b8c9

Observation 0f741211-7a2d-4cea-bdbf-2d1ab16e1e54 · outbound

This paper cites an unresolved cited work.

CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-03T12:37:32.329030Z digest=sha256:21341bac6a8a90c035ae7c7b6bbeede873f95b69b4af22451552169b6ffdf59e

Pith citing papers

Observation 2438ed09-6ee0-4afd-8803-180bbd334125 · inbound

ProbeAct: Probe-Guided Training-Free Failure Recovery in Vision-Language-Action Models cites this paper.

ProbeAct: Probe-Guided Training-Free Failure Recovery in Vision-Language-Action Models CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding

Reference 14

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arxiv_id, observed 2026-07-29T02:25:11.162934Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T16:33:12.726814Z digest=sha256:fed00f0f0c3ab06b22aef93f89ff51eb12a37a3a324a5a8daaf71358f03a4d2a

Observation 79e49fea-f65e-4e52-80f2-8b2a9735e27e · inbound

VLA-FAIL: Efficient Task Failure Detection for Finetuned Vision-Language-Action Models cites this paper.

VLA-FAIL: Efficient Task Failure Detection for Finetuned Vision-Language-Action Models CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding

Reference 15

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arxiv_id, observed 2026-07-29T02:25:11.162934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T14:57:41.592627Z digest=sha256:600dde8b7f2279321eb4d42d6c0fb2de42535ed7b54966d6deeb7ce2ce39d0df

Observation 9e46eeef-0426-42a0-aac8-bb8ac2c9d781 · inbound

FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model cites this paper.

FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding

Reference 28

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arxiv_id, observed 2026-07-29T02:25:11.162934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-02T10:50:11.153980Z digest=sha256:74ff21111671734533926ee4a0e00e18be39c1e8e11d265abf4c8436a3f50a10

Observation df713324-803e-446c-ba33-7525b4e3fe36 · inbound

CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models cites this paper.

CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding

Reference 36

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arxiv_id, observed 2026-07-29T02:25:11.162934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-08T02:44:00.608590Z digest=sha256:e926b70f59e88725b72af2d471e802fa0b8f6d074d12ea9f30d700aa4a6a894f

Observation 58072049-ed52-4ebb-b37f-b7a51439cd98 · inbound

RoboBRIDGE: A Modular Framework for Bridging Policies to Robust Real-World Robotic Agents cites this paper.

RoboBRIDGE: A Modular Framework for Bridging Policies to Robust Real-World Robotic Agents CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding

Reference 10

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source=pdf_text observed=2026-07-31T23:45:52.409766Z digest=sha256:f6afd208968080f1b73416ae52e08885af71d7f3f9945d47a0fa5ec3cf00f1cf