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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 14 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 2026-08-14T06:32:32.682623+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:d32b4fa825b54ffaa60ae0627f9a52746a5bf27bf59548ab72f26db82d6529db

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=sha256:82034ce052a3422a7791ee09f044d4243d7099922ec289240b5162e0ad44a742

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=sha256:5589671dc30f57155bcee62c97505cd7c6882d45f3ca238c0c75412d7d8cbe2e

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:b86d99642638ae75b0d1379384c19d7ee0cfe2ce04df3188cbf5767bc1ef5037

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:b5bf2b998f9eaf99436cbd636591bbd0ab4d9b83afeaf8158a74abc24500081d

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:b08734e387c26254c7031f62ee9d8a9e539e3527b26619f565fad3bc943d2e55

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:e44dfb6d62431af0f5519753b267abd68e8007931b09344fcff324d7e4b856ed

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=sha256:332d883c4c8427e399f31129dcbfcc027af2b5f9850b0eefa63fb881edb8d70b

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=sha256:6267f73b433fe38dee429e2ba550e365fa5121f08177ae3df5becffb9004a93f

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=sha256:7a42f28a97bfe58cd31700ef39e736adb4e4d72019db81f57b15b1e8ffc68fe5

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:f3010e6459ee46edb470f38cce1110910519484a67d722e7da55aa9e2d7a58db

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=sha256:629ddd9b15466c073fd12b868e27d0c4e7a096197e41de44e60a88dad4bff825

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:e228fe9033b3ed46f9592024f8a685a034fca18b653c5a023eeeb3bb94a4bd77

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:c30b28f786b70596667431b5c899114921c710088bef1010b60e1a820733a869

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=sha256:2e60c097b2759fa2024c372e8db82bf3de81130a9f46fb553849a48128f901ff

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:cd5d16bbc62f880db55b422098e0be9be44e65d0b1d0fc299f6c3fb92e8ea6cf

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=sha256:39bc425ce3de47370b207a69fc82d94e3185a780811e394dd5a4ba43afbc590e

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=sha256:41718952d74f6d381f035c667832293818c8a1a4500e57f30fee4aed9cec865f

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=sha256:9aefc04baa505608f4afcd8d5f721bb4e4e63773a8ecb9ba65b6ab48a72c5815

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=sha256:56d3241ea1959dc553c397f1812029f3897fbc23c72cba490a9e53a824955055

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:c49b9dbc2637d5a3a3d79e16727c55d2d18c513c7b88376a59a1d53c3c9fbd8e

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=sha256:5b68b6604c0cc8b4758bd59d5b983a857db87141da7822be841d08eda73ed161

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=sha256:27f4a2b327c9bc1bc94ca43ad0b1618751ad752cb7a8d0a2fa361db6a23e79a2

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:df6b51d982645bc2e3e62023892bb3a7a06f14119a564a1e2a5c24445d321e7d

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=sha256:15574db1b4b081a9dc5096cdfc628b6a5fbda09482f933c2cb7a3b7392edae36

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:d69b43a2e8d26a588974580339fe9ac5c5bc36996931c572f48c1607f11672c4

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:c6dd2595b09a8cef1fafa8b7340cf3b19bc460d9180d6ad80e44856e244cd4cc

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:bbe5e91ff0c3bd7567fb5b0e57f9a3f86570f84d9d16bf8f64456a3b21518309

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:d93870666d32f510c0bad63edbd51ee4f337d79f3f3865e9545ea1475fc329b0

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=sha256:4317a985947203e96411cef29c46744c299a1651547209293d11c17751254f4f

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=sha256:81a74f69db7b14e17e01e4a7b3689be5f0200f979d313ef345e9f9171f907b74

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:d46d8972fc057e13b95c9a1c415817b505f6678e8fe899d3c17948f318fdb47b

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=sha256:0113ed2f94601e3431ef4946c6da51ae07eae429220ff5427a13ed84f3fcdb94

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=sha256:8180b4c47244b0899c61c7c1bb580f388368140cf66c20cea20c37f78b750661

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=sha256:38c247714b645237b40f763e9a66231e42712a8af80c96a41f6b9861f8325116

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=sha256:7d12e0b7fdceff17837a50fcb6b9180955b98f2d1ef1557942a1b6c82d031823

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=sha256:1c1f2ce7483d19281bfcb76597109f5aa1e32742c7c8f542993e826521f68879

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=sha256:1eb884c90f981ff32ef8e2cda956d4076600921611e9d5dc9b4f348dede2e4d6

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=sha256:2a159c58988c07bb451337b0e13d114e810890a97130903a8b7bc002c825925c

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=sha256:69750dee7f8371d51b50fd0c5d7901836f7139e8416162ce25c3397f41e05bf6

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=sha256:42a83998cbf6f9b5491b83c4b8ade315eb72abdbc7c203ca62bde613a2bdc3eb

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=sha256:54ee1ba75716e4c2a847aac316cb01204f7ac5b29a150f0d488e5ff06e32415d

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:dd06b11c3ea8e2446bcb3d614c8a2b5ba3f1489be9a3fc3afdb8a643280967d5

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:ee5c1fc4a4f38c29a0e28730018ee515344cafa0a8f1119a145d334b517346bf

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=sha256:211d363257bb9a15323e927b3ddc9797ec1fbf3c8dc86838d313691a0f28408a

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=sha256:50d0f24c46309d2e4d83511ce89e644abe1a1a74c6ffa79381f98fad1c34c31e

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:e36278c98ed437e5b4d369a0c146fffacefdb2b5dc291ab450ab5f02acc616ff

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:e4e78ad4dc09b8f9488fc6a1fcc4e82909a9e85c670fb990f8dcb9ef58525069

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=sha256:10522c308c0423103d66a78dfd00858e876074aa60dc6beec3204097f501857f

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:f0134ed485635c6cc049a2afd352d6115b785712e53cc92f19b140f8d214e831

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=sha256:3a654e9246b25f640c3741a20859d40c84035fba1f4f4177a03d942b6010b66e

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:da456df5879aafb54627cfb26f305a1d16dc7ec185cebbde3f5db029e7bf7af8

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=sha256:40dd17cb637a2c441ade757a760dfa7c6b667b184f70890f9652ea6ab27a01ae

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=sha256:7e636b69d9e787819e02462fe00e57e8b4b56c32c5305f520cf82f4ab6a9fda8

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=sha256:3fe24ec716df417b839f0630918027c964d4f5fb73d8a3ceaa7a652e6effbaf3

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:ba315c74d0d437c304a72c749c134218216d0ba02776f62284298ffca8441f8e

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:c0791da7608c779f457382b0ca5f3b41e26d7709070966dd813d1a31739831a7

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=sha256:0e85ffa89af34d22816d7dcb9b57377e3386d3836d4d71281097ce8ed590d885

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=sha256:62c7c61752a43efc0b260112fd4b26a92d768c4bc4596908c2d094fed1c314c6

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=sha256:4e961c1585b9e25559e7f3280b383a08a502d190ffda873fdb52c9821ec04536

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=sha256:45d401e36fec8aa2be4b4b02954fafb364e696194e6b328bdf48ba7e6eaabd94

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=sha256:89778123c1a9753fb60dcccafe224a3eb6f13c79acc8e65da57b7efd51f4dfad

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=sha256:794c2a76c557d0310e16b959799a6bb6de2b7450a942388a78349bfa6808737e

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:e9e19e71696134ed292b6d29adce8751e2c00835c542f2649834e2fd3f4c75d3

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=sha256:3df3b4f32c11590bb3dff6aefd07c8093d6a259a8e6cacbc96654cb15908f698

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:e44c15b9667a639074485c7d722125bf1ff467b626abfe43221facc41f5fbfc9

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:f7e738fe22c7390aa88a9e1315184c5a3c0ba27bc085cf8bd5858df8dc553f85

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=sha256:80d4799d584a9f1fac6afe63c0442f72636823e1f8903e26b8f048e40c361e49

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:c3ab454fe7c31e3ead45d3783a04badeaf72c25491658e9b78ea66354c9781b9

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:a734014ab9408fa7b447a54e6ee5d6350384cc5e4212a18f5769c0a0c1845f70

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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source=pdf_text observed=2026-08-03T12:37:29.729978Z digest=sha256:30d8782c09d53874f3ffd7820b9679f2040f5412496b7965ebf53d58ac6e5e43

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=sha256:3be2e7f323297c98f9dda349de73d69afac28a4bfb65ed47f16d849145b565a4

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=sha256:0b40d1d0c9225402dfeaa5ff01072cdea3a8585406f682d522ff79ec9accc82a

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:eba7d91e73b5249c059e5e1d8c7633dd6e685d01a5e09bf1583995a5a2bfc149

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:af9e1db5884058a4f0adb179c4c7357d7d3e6f064519dda83ac98ff1a2f40baf

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=sha256:747a2f4de01ba5362304cfec11570cc8c3ea8bab965b957cf112b2238d94845a

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=sha256:68e5321b3330793b156e0fb7aee54ff9aeae0e469cf2b122c80dd7b47923581f

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:a00d1d0382b6a295e096ef99ef068633fee807bf2993118891073766d239df0d

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=sha256:977709d2681bd7e1ccb68b6aba84fecb78e1a72d304a4d620dbaf291f4b3e59a

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=sha256:822d96ec65630f1e06ccfbc1c48821fa98ded3c0e175a58f8306b4b34737645e

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=sha256:7a84c5e240f51a7c4138e85aaa96171ab057634aa163f17c9448fdaf7c13ab3d

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:d2744b93bf9f09d7cc2ced1b6b7aa5a9e5821ba49c8c7170c3d1e5d956bf2bb4

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=sha256:16b80fb12e5fa77da53dfca9fec40df236808433ebd08a1bdfb93f741ff5f37a

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=sha256:1ef16bbe7f20a1cb25abee64c377b78aada063f9a8057f7efd1e46a385f28ac7

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:fef8ca784e027079fa8a2ec974e3272fff0280bfc3ec4f741211b078d3a9f3e5

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=sha256:51b66e72dc5935184c333e45ebcf9f289f558446e029768443463d60dad26b2d

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:d1b751cf1cd7a58d308688cf8ad52de52afba5b552f0c86b294f7f76386f78d4

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:e3acf02217bf8bc87d7e79b7f27134858e1370dd31e541891d8aeab8b04070f7

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:a29623bf8db28950a90b5226727f39ce880f21e1341e2aaa3fe29232d0b08fed

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=sha256:5b7b714086b8daa1786ffd674a604f7f7868573b143a389e195b6af9d5789be1

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=sha256:933ae1facc789a4d6921a504b63fb17a9891be5d55d56dd7e3c07ea7371f680a

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:fd99467189f75fc28b0d0fdc34289ded6cbd8f25f1a66fa7128a3b76e8a07c4b

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=sha256:9aaf52f3a07f2e9096c1011b29977b8f82fc747e99e00107f0ce7ee561736c9b

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=sha256:2257cc53d67b2ab58ca3928b066cb8d6b0e4d48ca9abcca3567fc5043555a37c

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=sha256:248e339d610a8763898935757368d02be23ccee54481023c12e808fc03b185de

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:a4635de6386c086324f97b7b6f5455ece885cca753519c74b9244a1c38b32be6

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=sha256:693970fe2f40dc87220babaef328d33b9de0114f9ef0344a862c774f4d32e966

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=sha256:3c8766359f0dd5a9220c550a0ee959c04a55ab3bcd31173a0b002186fdc53cfb

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=sha256:9dd12a4d3ed23eb6042b4e5a7f3f2455e3795edbda8adc5e8035e5112251d658

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:b383f398c324f8f3a55ba6667fb70f541507a1cd39a65f8b7d1b679cff40557d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T16:33:12.726814Z digest=sha256:5b0eed147677cc6e739db16c42f5d70436bd33c383ec7d79e431fab25a1765e2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T14:57:41.592627Z digest=sha256:7c2c55dad67b8aa17a01edd541f4276f31d8128acd5737829f594d018d54f3f2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-02T10:50:11.153980Z digest=sha256:3e961f345ae69c5dc8db96aad83703b519f240246c0504c9c81a679bb24e642d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-08T02:44:00.608590Z digest=sha256:29a18f157681c5d45b515ca0178f73786cc6bea9f286cedf04a5fbeb93c943fa

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=sha256:281091861a29abe3128080fdef53cd12a2f21a1661b59a2937b9b6ce61914190