Pith. sign in

Paper Citation Record · LEDGER

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline

As of 16 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 2026-08-16T06:30:59.297886+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.

source=arxiv_source observed=2026-08-12T15:50:32.755857Z digest=sha256:f5040f9c088f1c779917b197baef0fe649c7bde6f3ada8cb889b933f4f9fa5c8

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.760852Z digest=sha256:d861ed0eea50d15971c806957dc0b1970542e4a92defb02545abb538ed3482ac

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.765435Z digest=sha256:44598c59e5409447e66854cbd106a59223bf820c8c98d85b038f2dcfb2b75c3c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.769968Z digest=sha256:2bafa7a3ceea4670338dcf6e63a79b4d9b7284a1f264cd01932d34f2294c9c8a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.774520Z digest=sha256:2472e015d7d7b794a69fa28d8ca81705f84722ebafb608ce84f1f1b067e3e269

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.779139Z digest=sha256:74459ab9b30db5ffb6fbe3b83885eda744432052a62070c7ab9a13dff3ad74b3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.784007Z digest=sha256:01087a1b6d917c04c3d69b99c737b2e858e4f866b717f48f6a264efcec032b66

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.788256Z digest=sha256:62cf71c3eee9e63d79c1033e08c11c0d81a28a9e23e6895d27a344b6d7abab48

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.792595Z digest=sha256:69c91cd63ae79c3583f8140d40a54743dba99d705c3fc2a3002b9b9de18f2d07

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.796816Z digest=sha256:43d545fbfbee272ac1558b456de74fa3a3101a8a14f53a1a501bdc80eb95dbeb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.801047Z digest=sha256:3c1c7a514ae661fcb2f9481946a80c543d517015ccc1b1d7be459e09f575ee15

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.805266Z digest=sha256:029a2a497caeeb0334ead83fb6e2e63571024c2f1df7331718547ddf38161585

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T15:50:32.809463Z digest=sha256:46ea7031ad372593687bef5a1e1c23739b4138e650a6c438efd997d5dcd36f6d

Pith citing papers

No inbound Pith citation observations are available.