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Paper Citation Record · LEDGER

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.02545.

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

pith.paper-citation-record.v1
2608.02545 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:07:03.011855Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72555d0d-0f45-43ed-86f5-009c0be2259e · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning (ICML) , series =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Proceedings of the 35th International Conference on Machine Learning (ICML) , series =

Reference 1

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source=arxiv_source observed=2026-08-04T05:07:01.611105Z digest=sha256:e21a065bef2b078a499a47a8aa62aae915dfd90670eebd6ceed3a15f1dda7f86

Observation 6fd09c94-5c9c-495f-98e5-cdd1759776c8 · outbound

This paper cites Advances in Neural Information Processing Systems 31 (NeurIPS 2018) , pages =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Advances in Neural Information Processing Systems 31 (NeurIPS 2018) , pages =

Reference 2

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source=arxiv_source observed=2026-08-04T05:07:01.643296Z digest=sha256:3081e58159716e9af1719a8878bb5076de22c497e240d3dcae57756b31ef1bea

Observation b119b23b-7d82-4c60-b4df-a46e0a280814 · outbound

This paper cites Proceedings of the ACM on Programming Languages , volume =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Proceedings of the ACM on Programming Languages , volume =

Reference 3

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source=arxiv_source observed=2026-08-04T05:07:01.705727Z digest=sha256:1fb8838101998f055b07bab867e34043c46b11b5bc0f5db4dc6b5af2cef5788b

Observation 9ee2dfa1-9ede-4042-a419-e31468b4cd3a · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning (ICML) , series =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Proceedings of the 35th International Conference on Machine Learning (ICML) , series =

Reference 4

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source=arxiv_source observed=2026-08-04T05:07:01.769314Z digest=sha256:82b2b3b3161316853accd12947553a766f1b8a2a93baf1159c8cf394695a4e31

Observation 119d556f-f398-4613-8d38-feb7bd9dcff9 · outbound

This paper cites Advances in Neural Information Processing Systems 31 (NeurIPS 2018) , pages =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Advances in Neural Information Processing Systems 31 (NeurIPS 2018) , pages =

Reference 5

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source=arxiv_source observed=2026-08-04T05:07:01.798537Z digest=sha256:2acf45d3ff320ce90a2f5e895426b61b5ac6431900859488b18eb0af7a0d45f5

Observation 588b0f8b-a266-4807-9369-f9614ade77ad · outbound

This paper cites Advances in Neural Information Processing Systems 33 (NeurIPS 2020) , year =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Advances in Neural Information Processing Systems 33 (NeurIPS 2020) , year =

Reference 6

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source=arxiv_source observed=2026-08-04T05:07:01.855049Z digest=sha256:672d6e14cf0c576ef88c0b73b5d7e912334c48e1bb9cc5d93b9cc7b7621f7e71

Observation 64a2724b-3580-459e-af95-5fd8ef1619ee · outbound

This paper cites The Sixth International Conference on Learning Representations (ICLR) , year =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training The Sixth International Conference on Learning Representations (ICLR) , year =

Reference 7

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source=arxiv_source observed=2026-08-04T05:07:01.873421Z digest=sha256:37893c4bef8a3adeb5ea4ebe9ea2fbd07443d30491663d57fdf7d9495e2d645d

Observation 48fdf465-93b2-417c-8103-af62b3a6acb3 · outbound

This paper cites Proceedings of the 3rd Conference on Learning for Dynamics and Control , series =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Proceedings of the 3rd Conference on Learning for Dynamics and Control , series =

Reference 8

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source=arxiv_source observed=2026-08-04T05:07:01.932022Z digest=sha256:4885c42637d01547584245ae3d5e7f34f87956e76b7ffbfd6a05d31a059412d9

Observation 608eba33-5110-4433-a357-39ec84ffc976 · outbound

This paper cites Set-Based Training for Neural Network Verification.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Set-Based Training for Neural Network Verification

Reference 9

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source=arxiv_source observed=2026-08-04T05:07:01.978054Z digest=sha256:32f75068832bcfba2c578f9bd9d3a905549a843a74008376e9a75e0eebb88ab5

Observation d5933834-0ce2-463e-8751-5c7023fd843c · outbound

This paper cites Training Verifiably Robust Agents Using Set-Based Reinforcement Learning.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Training Verifiably Robust Agents Using Set-Based Reinforcement Learning

Reference 10

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source=arxiv_source observed=2026-08-04T05:07:02.041981Z digest=sha256:f65bc6f621f38564661edcbe6831372b41cecde61a1e59bcfa6edcb41d7ad84b

Observation c96af01a-342d-4e67-b693-a814ea46bc4a · outbound

This paper cites 2026 , eprint =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training 2026 , eprint =

Reference 11

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source=arxiv_source observed=2026-08-04T05:07:02.105956Z digest=sha256:8173673af628561c8b520d6dcb18eacd0200c7a8234e0d0ff82de9f8ef9d071c

Observation 381db422-9e2b-443f-b0c2-f88ece498019 · outbound

This paper cites Robustness Certification of Visual Perception Models via Camera Motion Smoothing.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Robustness Certification of Visual Perception Models via Camera Motion Smoothing

Reference 12

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source=arxiv_source observed=2026-08-04T05:07:02.148325Z digest=sha256:b21aec7443a3af02b674dbc62c20b245f8309d9451ff92ef9579248dc45da3a9

Observation 27efad27-2a2a-4ffb-92e9-1511be3fec82 · outbound

This paper cites Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations

Reference 13

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source=arxiv_source observed=2026-08-04T05:07:02.218910Z digest=sha256:1d86e036bf338284a88df04ce9c20105b5a5710f515936c15b11eb22d1b3dfa2

Observation d684bf8c-2f89-4792-9d2e-9b80178296ab · outbound

This paper cites ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

Reference 14

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source=arxiv_source observed=2026-08-04T05:07:02.371379Z digest=sha256:aaee7bfa5d9f13ef0a64dd0397ee1583826f35d4b90961c65b3c7ef9ad1277e0

Observation 70e4b39e-98bd-4e29-b256-953c4f020e24 · outbound

This paper cites Perception with Guarantees: Certified Pose Estimation via Reachability Analysis.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Perception with Guarantees: Certified Pose Estimation via Reachability Analysis

Reference 15

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source=arxiv_source observed=2026-08-04T05:07:02.508910Z digest=sha256:2b26d191e21b48551de01621b5b5f8f3b8e7de1162017c600b6a739963c0000c

Observation c077d06f-e775-412a-af51-cf9906be6c28 · outbound

This paper cites Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback

Reference 16

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source=arxiv_source observed=2026-08-04T05:07:02.621615Z digest=sha256:22bce134ae9f5c8c70ca733ce3db8900e0758f0cf4f1c863f9587860e861282c

Observation 5ec678f2-4618-4597-ab02-1a4a67b075da · outbound

This paper cites Journal of Machine Learning Research , volume =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Journal of Machine Learning Research , volume =

Reference 17

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source=arxiv_source observed=2026-08-04T05:07:02.689359Z digest=sha256:de1e99e59dffc34a90b5d5a5a273982d9d85a500cd38f6c7039d8edd96dac149

Observation a7696a9a-0fd8-4669-ae95-b1a08dd18d2f · outbound

This paper cites Robust Operational Space Control with Conformal Disturbance Bounds for Safe Redundant Manipulation.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Robust Operational Space Control with Conformal Disturbance Bounds for Safe Redundant Manipulation

Reference 18

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source=arxiv_source observed=2026-08-04T05:07:02.759750Z digest=sha256:972eca880823591c2530cf380153fb29b35bf0f5a03fb58490ca4bc204f960ed

Observation 22d4dc8a-ac2e-48a6-93c0-6589de3477ff · outbound

This paper cites Proceedings of Robotics: Science and Systems (RSS) , year =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Proceedings of Robotics: Science and Systems (RSS) , year =

Reference 19

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Observation 75fb5270-f809-4809-ac2d-dcdb8efcabcd · outbound

This paper cites RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models

Reference 20

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source=arxiv_source observed=2026-08-04T05:07:02.883441Z digest=sha256:c63e0ac2a7abf57da8a40cd75df5b6db448dfff45246239488c425002d3ca32f

Observation 28b31fb4-71ff-4951-b14d-285b50d5f367 · outbound

This paper cites 2026 , url =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training 2026 , url =

Reference 21

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source=arxiv_source observed=2026-08-04T05:07:02.954761Z digest=sha256:e45e60f28173462351298314def552f265167320dff53144478a7f3bb4547514

Observation dcd094b1-9379-41f7-829d-dc995d9cac3b · outbound

This paper cites 2026 , eprint =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training 2026 , eprint =

Reference 22

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source=arxiv_source observed=2026-08-04T05:07:02.960130Z digest=sha256:e4682edd566f22507cd873a47fe557c15c53ec48345a66866add667f895d0f64

Observation bd705a10-4ced-415e-9c44-f00d5c9edd91 · outbound

This paper cites Concrete Problems in.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Concrete Problems in

Reference 23

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source=arxiv_source observed=2026-08-04T05:07:02.965043Z digest=sha256:c24d4a4eab7e7aacb0cbe2d303c6c35260e7e3701abbcf9c15df850d5ee0d5dc

Observation ec5d5cfe-e9bc-46ec-8ccc-b075d5de86a7 · outbound

This paper cites Unsolved Problems in ML Safety.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Unsolved Problems in ML Safety

Reference 24

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source=arxiv_source observed=2026-08-04T05:07:02.969793Z digest=sha256:ab2ff4e45b74b5f011873ba898dd06986bf7f229844d85e03eccd301987b2c20

Observation d9d62b4e-9833-48df-a550-de9bb75dbaca · outbound

This paper cites 2023 , eprint =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training 2023 , eprint =

Reference 25

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Observation ab79125f-88c3-4336-ba5f-ba88915d2f7a · outbound

This paper cites 2020 IEEE International Conference on Robotics and Automation (ICRA) , pages =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training 2020 IEEE International Conference on Robotics and Automation (ICRA) , pages =

Reference 26

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source=arxiv_source observed=2026-08-04T05:07:02.979462Z digest=sha256:3230ae7d9bb83e98994a03988b089cb5fa0e637d6966e28696aa5d24cc6b35fd

Observation a9546a23-d9e7-4e6b-904c-28d0ef825c58 · outbound

This paper cites , booktitle =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training , booktitle =

Reference 27

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source=arxiv_source observed=2026-08-04T05:07:02.983993Z digest=sha256:c44a3989c77def5f3ae282d605b3edfddd95d9b78dcfaca192db3b807464374c

Observation cccba41f-157b-4847-a07f-3f49d3381c31 · outbound

This paper cites Sensors , volume =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Sensors , volume =

Reference 28

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source=arxiv_source observed=2026-08-04T05:07:02.988673Z digest=sha256:0207487d26d2582e96125acfda80bc6372866a5c33008e5b29a824294d6ea65c

Observation 85d72d23-6ae6-43ac-9966-9e1257039fa8 · outbound

This paper cites 2026 , eprint =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training 2026 , eprint =

Reference 29

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source=arxiv_source observed=2026-08-04T05:07:02.993434Z digest=sha256:a05e7399f68679e7dc3b4006772daa097d8b601c2654b225c08cc9e30876d83c

Observation bdfb4259-dd92-424e-9ce3-2eaf861a9e96 · outbound

This paper cites Conformalized Data-Driven Reachability Analysis with.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Conformalized Data-Driven Reachability Analysis with

Reference 30

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source=arxiv_source observed=2026-08-04T05:07:02.997969Z digest=sha256:751df97d534e4edc4f022b22baf586e52b9198cd96710c6ab80cf2afdd7341ac

Observation 4705de41-ac0f-43b5-b096-7e5c1bdd21a3 · outbound

This paper cites Journal of the American Statistical Association , volume =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Journal of the American Statistical Association , volume =

Reference 31

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source=arxiv_source observed=2026-08-04T05:07:03.002889Z digest=sha256:7ca0c589fbe73f3b8f2ce0cc9d93bd76b76a7ff0482df289cab0c0be7781e692

Observation 5ae396de-26b5-4cbc-ac28-cef3c4e096a2 · outbound

This paper cites 2026 , eprint =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training 2026 , eprint =

Reference 32

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source=arxiv_source observed=2026-08-04T05:07:03.007391Z digest=sha256:36967a92014fcd9aa249a4dea42014bb672f409e890f9622de2bf24927f6c269

Observation 1287d451-c68b-4f3f-8fa5-0690fe93f717 · outbound

This paper cites Rigorously computed orbits of dynamical systems without the wrapping effect , volume =.

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training Rigorously computed orbits of dynamical systems without the wrapping effect , volume =

Reference 33

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source=arxiv_source observed=2026-08-04T05:07:03.011855Z digest=sha256:645bcade6f70217a311a0dd3eee5003066f9cf37458be53ec4e53056fd091364

Pith citing papers

No inbound Pith citation observations are available.