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Paper Citation Record · LEDGER

Provably Safe Motion Planning Under Unknown Disturbances

As of 12 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2605.26625.

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

pith.paper-citation-record.v1
2605.26625 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:31:03.383308Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:54:11.693692Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy0
  • unresolved35
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5bf6df1e-ad88-4f85-b82b-54e42cf392e6 · outbound

This paper cites Rapidly-exploring random trees : a new tool for path planning,.

Provably Safe Motion Planning Under Unknown Disturbances Rapidly-exploring random trees : a new tool for path planning,

Reference 1

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Observation ee94748c-d47b-4357-bac7-b7eef0765dd2 · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

Provably Safe Motion Planning Under Unknown Disturbances Sampling-based algorithms for optimal motion planning,

Reference 2

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Observation 0ea150b5-aa68-48c1-a3d2-1f0243163c6d · outbound

This paper cites Asymptotically optimal sampling- based kinodynamic planning,.

Provably Safe Motion Planning Under Unknown Disturbances Asymptotically optimal sampling- based kinodynamic planning,

Reference 3

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Observation 3fa8b66f-7ecd-43a9-abed-083145522395 · outbound

This paper cites Cort ´es and T.

Provably Safe Motion Planning Under Unknown Disturbances Cort ´es and T

Reference 4

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Observation a0484280-5693-4ba0-9504-f3ba26526394 · outbound

This paper cites An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty,.

Provably Safe Motion Planning Under Unknown Disturbances An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty,

Reference 5

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Observation d92698da-daf9-4861-966e-db48861751ab · outbound

This paper cites Robust-rrt: Probabilistically-complete motion planning for uncertain nonlinear sys- tems,.

Provably Safe Motion Planning Under Unknown Disturbances Robust-rrt: Probabilistically-complete motion planning for uncertain nonlinear sys- tems,

Reference 6

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Observation 3e80c66a-90c1-4f46-a578-3c0d93d008df · outbound

This paper cites Funnel libraries for real-time robust feed- back motion planning,.

Provably Safe Motion Planning Under Unknown Disturbances Funnel libraries for real-time robust feed- back motion planning,

Reference 7

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Observation e61b864f-a840-4149-b8cc-15d217764964 · outbound

This paper cites Dynamic tube mpc for nonlinear systems,.

Provably Safe Motion Planning Under Unknown Disturbances Dynamic tube mpc for nonlinear systems,

Reference 8

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Observation e9b01318-3cba-4bfb-95ad-149f649f71bf · outbound

This paper cites Chance constrained RRT for probabilistic robustness to environmental uncertainty,.

Provably Safe Motion Planning Under Unknown Disturbances Chance constrained RRT for probabilistic robustness to environmental uncertainty,

Reference 9

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Observation d0766d4e-8332-41b6-a6a2-c4a59767fe3e · outbound

This paper cites Gaussian belief trees for chance constrained asymptotically optimal motion planning,.

Provably Safe Motion Planning Under Unknown Disturbances Gaussian belief trees for chance constrained asymptotically optimal motion planning,

Reference 10

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Observation 2d74b1fb-819c-4b13-8222-dcc3767caea2 · outbound

This paper cites Robust motion planning in the presence of estimation uncertainty,.

Provably Safe Motion Planning Under Unknown Disturbances Robust motion planning in the presence of estimation uncertainty,

Reference 11

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Observation f56deed3-54b0-43c8-8bae-02d48be079a0 · outbound

This paper cites Perception-based temporal logic planning in uncertain semantic maps,.

Provably Safe Motion Planning Under Unknown Disturbances Perception-based temporal logic planning in uncertain semantic maps,

Reference 12

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Observation 7926a505-5725-4652-9802-384c0d188508 · outbound

This paper cites The belief roadmap: Efficient planning in belief space by factoring the covariance,.

Provably Safe Motion Planning Under Unknown Disturbances The belief roadmap: Efficient planning in belief space by factoring the covariance,

Reference 13

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Observation 465c4193-85bb-44ed-8c79-079f4b700b45 · outbound

This paper cites Rapidly-exploring random belief trees for motion planning under uncertainty,.

Provably Safe Motion Planning Under Unknown Disturbances Rapidly-exploring random belief trees for motion planning under uncertainty,

Reference 14

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Observation a0933258-925c-456d-86e2-21e43c0dd62d · outbound

This paper cites Distributionally robust sampling-based motion planning under uncertainty,.

Provably Safe Motion Planning Under Unknown Disturbances Distributionally robust sampling-based motion planning under uncertainty,

Reference 15

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Observation 7f536aa1-5c3d-4bf0-89c1-27042b7e2450 · outbound

This paper cites Distributionally robust rrt with risk allocation,.

Provably Safe Motion Planning Under Unknown Disturbances Distributionally robust rrt with risk allocation,

Reference 16

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Observation bfe5a49c-5731-47c9-b318-90d362395ca6 · outbound

This paper cites Distributionally robust stochastic optimiza- tion with wasserstein distance,.

Provably Safe Motion Planning Under Unknown Disturbances Distributionally robust stochastic optimiza- tion with wasserstein distance,

Reference 17

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Observation 620d1e33-0698-47dd-9502-e00ee0bf49b7 · outbound

This paper cites Data-driven distributionally robust optimization using the wasserstein metric: Performance guarantees and tractable reformulations,.

Provably Safe Motion Planning Under Unknown Disturbances Data-driven distributionally robust optimization using the wasserstein metric: Performance guarantees and tractable reformulations,

Reference 18

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Observation 727ec3ed-965f-42b0-8676-910c24139586 · outbound

This paper cites Quantifying distributional model risk via optimal transport,.

Provably Safe Motion Planning Under Unknown Disturbances Quantifying distributional model risk via optimal transport,

Reference 19

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Observation 47d45829-d331-46a0-8955-c7b2f4062781 · outbound

This paper cites High-confidence data-driven ambiguity sets for time-varying linear systems,.

Provably Safe Motion Planning Under Unknown Disturbances High-confidence data-driven ambiguity sets for time-varying linear systems,

Reference 20

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Observation 69382054-7c02-4654-ac96-6fb61e51ff76 · outbound

This paper cites Uncertainty propa- gation via optimal transport ambiguity sets,.

Provably Safe Motion Planning Under Unknown Disturbances Uncertainty propa- gation via optimal transport ambiguity sets,

Reference 21

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Observation 18fe711a-719e-465c-bf46-a1df22a9f821 · outbound

This paper cites Capture, propagate, and control distributional uncertainty,.

Provably Safe Motion Planning Under Unknown Disturbances Capture, propagate, and control distributional uncertainty,

Reference 22

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Observation b39ef515-496b-4f9c-929c-74f2d4fcf7a2 · outbound

This paper cites Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance.

Provably Safe Motion Planning Under Unknown Disturbances Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance

Reference 23

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Observation 1df8c5db-bc17-4d60-877b-7caf56d4926d · outbound

This paper cites Distributionally safe path planning: wasserstein safe rrt,.

Provably Safe Motion Planning Under Unknown Disturbances Distributionally safe path planning: wasserstein safe rrt,

Reference 24

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Observation 056bb1dd-9f2f-4c82-8b97-1d19e541c953 · outbound

This paper cites Distributionally robust risk map for learning- based motion planning and control: A semidefinite programming ap- proach,.

Provably Safe Motion Planning Under Unknown Disturbances Distributionally robust risk map for learning- based motion planning and control: A semidefinite programming ap- proach,

Reference 25

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Observation c550b13d-5894-471e-826e-24a23eed4c0b · outbound

This paper cites Wasserstein distributionally robust motion planning and control with safety constraints using conditional value-at-risk,.

Provably Safe Motion Planning Under Unknown Disturbances Wasserstein distributionally robust motion planning and control with safety constraints using conditional value-at-risk,

Reference 26

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Observation 8ee308a5-0fb0-459f-a532-8a250f5ee7e7 · outbound

This paper cites Wasserstein tube mpc with exact uncertainty propagation,.

Provably Safe Motion Planning Under Unknown Disturbances Wasserstein tube mpc with exact uncertainty propagation,

Reference 27

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Observation 4a779f41-7a03-45f1-83b1-8c3df1475d8a · outbound

This paper cites Coherent measures of risk,.

Provably Safe Motion Planning Under Unknown Disturbances Coherent measures of risk,

Reference 28

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Observation 6b350397-6e8c-4e64-ac53-9de7be3ef841 · outbound

This paper cites Structured ambiguity sets for distributionally robust optimization.

Provably Safe Motion Planning Under Unknown Disturbances Structured ambiguity sets for distributionally robust optimization

Reference 29

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Observation 3fb0e10e-98d6-47e2-9bc9-0e77a86c184a · outbound

This paper cites Chance constrained rrt for prob- abilistic robustness to environmental uncertainty,.

Provably Safe Motion Planning Under Unknown Disturbances Chance constrained rrt for prob- abilistic robustness to environmental uncertainty,

Reference 30

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Observation d01c0501-7ec5-49f0-bbab-7435ebad9000 · outbound

This paper cites On the rate of convergence in wasserstein distance of the empirical measure,.

Provably Safe Motion Planning Under Unknown Disturbances On the rate of convergence in wasserstein distance of the empirical measure,

Reference 31

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Observation d6c92019-9982-4d5e-8687-8d2ac769389b · outbound

This paper cites Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$.

Provably Safe Motion Planning Under Unknown Disturbances Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$

Reference 32

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Observation 0b215884-38f9-46a4-9299-2f783eae3f9f · outbound

This paper cites Data-Driven Strategy Synthesis for Stochastic Systems with Unknown Nonlinear Disturbances.

Provably Safe Motion Planning Under Unknown Disturbances Data-Driven Strategy Synthesis for Stochastic Systems with Unknown Nonlinear Disturbances

Reference 33

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arxiv_id, observed 2026-06-29T17:33:45.147702Z

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Observation 19bd0b7a-f1bf-40c4-b364-178bc6f7ba29 · outbound

This paper cites An introduction to cora 2015,.

Provably Safe Motion Planning Under Unknown Disturbances An introduction to cora 2015,

Reference 34

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Observation 56d5f006-6f17-4c9d-9c00-e4f2cb28c21d · outbound

This paper cites Sce- nario reduction revisited: Fundamental limits and guarantees,.

Provably Safe Motion Planning Under Unknown Disturbances Sce- nario reduction revisited: Fundamental limits and guarantees,

Reference 35

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Observation 8e168a4b-cb48-458e-b590-92086e591262 · outbound

This paper cites Least squares quantization in pcm,.

Provably Safe Motion Planning Under Unknown Disturbances Least squares quantization in pcm,

Reference 36

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Observation 10ae4490-06ce-449c-9243-3b5a9380120f · outbound

This paper cites The Open Motion Planning Library,.

Provably Safe Motion Planning Under Unknown Disturbances The Open Motion Planning Library,

Reference 37

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Observation 421c4085-cbc7-4f28-b17a-fa0a0cb13917 · outbound

This paper cites Probabilistic completeness of rrt for geometric and kinodynamic plan- ning with forward propagation,.

Provably Safe Motion Planning Under Unknown Disturbances Probabilistic completeness of rrt for geometric and kinodynamic plan- ning with forward propagation,

Reference 38

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Observation 1431c0a3-f438-465f-9531-69a094ac5452 · outbound

This paper cites Villani,Topics in optimal transportation.

Provably Safe Motion Planning Under Unknown Disturbances Villani,Topics in optimal transportation

Reference 39

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no resolver link, observed 2026-06-29T17:31:03.383308Z

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source=pdf_text observed=2026-06-29T17:31:03.383308Z digest=sha256:c570128a490188b02e113bde291dced06ca335eb1a6fccc1085350ec411df9e3

Observation 58bc1058-3536-4353-82d6-77d8b91e3307 · outbound

This paper cites Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation.

Provably Safe Motion Planning Under Unknown Disturbances Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation

Reference 40

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verified exact
arxiv_id, observed 2026-06-29T17:33:45.139140Z

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source=pdf_text observed=2026-06-29T17:31:03.383308Z digest=sha256:006b1dc92c12e2824c4e2af4b5ca25f36f56983fe10b22c6e60049b48e516fc9

Pith citing papers

Observation b3f5d05a-b56b-4545-b97d-091c1814879f · inbound

Conformal Constraint Tightening for Chance-Constrained Motion Planning with Unknown Dynamics cites this paper.

Conformal Constraint Tightening for Chance-Constrained Motion Planning with Unknown Dynamics Provably Safe Motion Planning Under Unknown Disturbances

Reference 17

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no resolver link, observed 2026-08-01T04:54:11.693692Z

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source=pdf_text observed=2026-08-01T04:54:11.693692Z digest=sha256:728bfc13ff398899235df53686a3871560c232b4c39c0fe66888886605276d43