Paper Citation Record · LEDGER

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.13935.

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

pith.paper-citation-record.v1
2411.13935 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:50:32.809463Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

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

measured 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy12
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b59909c0-78f2-4efa-bdce-19d076553c8b · outbound

This paper cites CasADi -- A software framework for nonlinear optimization and optimal control.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline CasADi -- A software framework for nonlinear optimization and optimal control

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:32.755857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3da657d-c55d-45d6-a29a-718da9a48eff · outbound

This paper cites The scenario approach to robust control design.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline The scenario approach to robust control design

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:33.001603Z

Source-reported events for the cited work

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

Observation bc585dc8-33b9-4e36-a44e-b36c88caefda · outbound

This paper cites Stochastic tube mpc with state estimation.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Stochastic tube mpc with state estimation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.987892Z

Source-reported events for the cited work

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

Observation 767b6fad-bf17-4e61-9b52-357ace39441e · outbound

This paper cites Scenario-based probabilistic reachable sets for recursively feasible stochastic model predictive control.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Scenario-based probabilistic reachable sets for recursively feasible stochastic model predictive control

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.974011Z

Source-reported events for the cited work

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

Observation 9b1eb3e0-8fb1-48dd-abc8-be26baba7717 · outbound

This paper cites Recursively feasible stochastic model predictive control using indirect feedback.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Recursively feasible stochastic model predictive control using indirect feedback

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.960005Z

Source-reported events for the cited work

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

Observation 83a34cf3-da5f-4c86-86e9-78c59e1c0857 · outbound

This paper cites Strongly feasible stochastic model predictive control.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Strongly feasible stochastic model predictive control

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.944494Z

Source-reported events for the cited work

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

Observation 11e1611e-bf51-4323-99da-21b90b13aefd · outbound

This paper cites Stochastic mpc with realization-adaptive constraint tightening.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Stochastic mpc with realization-adaptive constraint tightening

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.930275Z

Source-reported events for the cited work

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

Observation dfed028d-69b0-480f-9668-72e745c642bb · outbound

This paper cites Stochastic mpc with offline uncertainty sampling.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Stochastic mpc with offline uncertainty sampling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.915101Z

Source-reported events for the cited work

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

Observation 715f0f76-4ee8-4ab3-889e-81502e74bfca · outbound

This paper cites Chance-constrained sets approximation: A probabilistic scaling approach.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Chance-constrained sets approximation: A probabilistic scaling approach

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.899305Z

Source-reported events for the cited work

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

Observation dbd5a994-3a40-4607-a380-2568d1aaa45a · outbound

This paper cites Stochastic model predictive control: An overview and perspectives for future research.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Stochastic model predictive control: An overview and perspectives for future research

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.885407Z

Source-reported events for the cited work

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

Observation 931a4f67-a873-4422-9974-584586c1a2c2 · outbound

This paper cites A tractable approximation of chance constrained stochastic mpc based on affine disturbance feedback.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline A tractable approximation of chance constrained stochastic mpc based on affine disturbance feedback

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.871672Z

Source-reported events for the cited work

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

Observation 05c9a56e-80bd-423c-87de-710c7b9932b4 · outbound

This paper cites On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.858072Z

Source-reported events for the cited work

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

Observation 0f42b9f7-21d4-4d05-b77a-6bf4b682c46a · outbound

This paper cites Stochastic model predictive control using a combination of randomized and robust optimization.

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline Stochastic model predictive control using a combination of randomized and robust optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:32.843744Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.