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Paper Citation Record · LEDGER

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2412.06481.

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

pith.paper-citation-record.v1
2412.06481 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:42:05.952275Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:03.488121Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:24:03.777052Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6b6e4b5-d0cc-4a0f-a333-b5dcec2d65a4 · outbound

This paper cites A rewriting system for convex optimization problems.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization A rewriting system for convex optimization problems

Reference 1

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no resolver link, observed 2026-08-11T19:42:05.742464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:42:05.742464Z digest=sha256:20334b3252b3fe9e8fe5ea0c68dab63877c3ac38ce565437c728a219a3274647

Observation b2ed2e1d-5782-4e8f-b3c3-edfb27e993b0 · outbound

This paper cites Differentiable convex optimization layers.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Differentiable convex optimization layers

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.777304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.749031Z digest=sha256:76157ce7fa9cab2f206e81a953dc7fda1c0dd0877a031076a798a5e4520c66a6

Observation 7dfcfb8a-f325-4e70-a2d1-13cb05f10d66 · outbound

This paper cites Learning convex optimization control policies.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Learning convex optimization control policies

Reference 4

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raw_fallback, observed 2026-08-11T19:42:06.759121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.762753Z digest=sha256:f50c99d4f6b707a8a506a539592584287eb95de0ec2a11da5fbfa4a12ccd10f6

Observation a6453010-87a4-4539-822e-2aeeb12461c2 · outbound

This paper cites Optnet: Differentiable optimization as a layer in neural networks.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Optnet: Differentiable optimization as a layer in neural networks

Reference 5

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no resolver link, observed 2026-08-11T19:42:05.769164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:42:05.769164Z digest=sha256:0210cfa3488bc549ea155f8ad7d91c6da15ca77f0c34544a0ee5f5b904a292cb

Observation 727bd078-ecbe-452b-8f62-579658b77fc6 · outbound

This paper cites Differentiable MPC for end-to-end planning and control.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Differentiable MPC for end-to-end planning and control

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.724612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.775426Z digest=sha256:50160712bad0b130b20eb322d3d0a15f820f37dc7b13a48303642522655f7e3e

Observation 0bd14cb5-8b04-44fd-b4fe-da9ea9a5a7d7 · outbound

This paper cites Approximation of large-scale dynamical systems.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Approximation of large-scale dynamical systems

Reference 7

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raw_fallback, observed 2026-08-11T19:42:06.706442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.781958Z digest=sha256:c4bd0346a22ba8253e5a478c600b0ff68af743de79b22c8ab82a19e7b7d563ff

Observation b62c3557-10bc-4ecd-a3fc-569c2f59b910 · outbound

This paper cites Predictive Control for Linear and Hybrid Systems.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Predictive Control for Linear and Hybrid Systems

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.691007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.791810Z digest=sha256:8a839bb09aabbb858128f7dad8e38fb19e67b24a02c6a28d99f4ee0b1c954c11

Observation 8d3450d1-769a-46ca-9246-6a1319aad4f3 · outbound

This paper cites Differentiating Through a Cone Program.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Differentiating Through a Cone Program

Reference 9

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no resolver link, observed 2026-08-11T19:42:05.800088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:42:05.800088Z digest=sha256:1e9dde67832c93001b7ec7e4ed53463f062e86d7d9a281f17aa6ccf4fe395ae8

Observation b9e748cf-10dc-45b9-94f4-b0ca69675308 · outbound

This paper cites Harnessing Uncertainty for a Separation Principle in Direct Data-Driven Predictive Control.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Harnessing Uncertainty for a Separation Principle in Direct Data-Driven Predictive Control

Reference 10

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no resolver link, observed 2026-08-11T19:42:05.804510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:42:05.804510Z digest=sha256:c628a488cba8f5347d7a8e57312d210c207893c7b0c78a7cde2945765843395f

Observation 39417461-d841-4d9a-bb56-9cf24c069c59 · outbound

This paper cites Data-enabled predictive control: In the shallows of the deepc.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Data-enabled predictive control: In the shallows of the deepc

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.672400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.810857Z digest=sha256:7bb701024fa45e9b255366800e427eadffa8a648316b830725877e13d6a4ac8b

Observation ad28d9b9-d744-4b84-82b3-50c19296a69e · outbound

This paper cites Regularized and distributionally robust data-enabled predictive control.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Regularized and distributionally robust data-enabled predictive control

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.654395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.817126Z digest=sha256:f676930a1d80822ef4dd5b9b525313fd3923a89131f536366ef706f349282e2f

Observation 6018f141-0100-46b3-bb08-c255019af077 · outbound

This paper cites Distributionally robust chance constrained data-enabled predictive control.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Distributionally robust chance constrained data-enabled predictive control

Reference 13

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raw_fallback, observed 2026-08-11T19:42:06.630648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.822498Z digest=sha256:763d95239044a3160f9f876350a140184aabe70ecd729f4d8107bf55db63eb22

Observation da4fb8db-6c00-4944-af67-63dfac911510 · outbound

This paper cites CVXPY : A P ython-embedded modeling language for convex optimization.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization CVXPY : A P ython-embedded modeling language for convex optimization

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:42:05.831010Z digest=sha256:07d196a303b0fa11ad0c24ffdbac61b0350520e17a4af0ee06a32aa50a1c80e9

Observation f72641d5-2679-4080-a790-43951bc1c7e9 · outbound

This paper cites Bridging direct and indirect data-driven control formulations via regularizations and relaxations.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Bridging direct and indirect data-driven control formulations via regularizations and relaxations

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.596409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.836490Z digest=sha256:a752fbeb10c527f832215fd5142202943f406b4936961f425a27364dc5931cf4

Observation 56797693-5776-41be-a7cb-1e2d799367a5 · outbound

This paper cites S P C : Subspace predictive control.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization S P C : Subspace predictive control

Reference 16

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raw_fallback, observed 2026-08-11T19:42:06.572669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.847167Z digest=sha256:6f23121a06c1146d878739b6b1c2914f45e66cd7262846e10f72e45ea0ef4020

Observation 50578247-791b-4438-9470-6ddcce3f0c19 · outbound

This paper cites A robust control approach for rocket landing, 2017.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization A robust control approach for rocket landing, 2017

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.548218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.852830Z digest=sha256:4da0b89870fa17b3d2503ca908a5d2a4f68888a34379b62b74da628e071c92e4

Observation 7a792928-df84-46eb-95a2-0c87e2edde6e · outbound

This paper cites Toward a theoretical foundation of policy optimization for learning control policies.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Toward a theoretical foundation of policy optimization for learning control policies

Reference 18

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raw_fallback, observed 2026-08-11T19:42:06.518847Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.860833Z digest=sha256:838793197f1f39642afb5596616466d60387021c5fcde5515f65920d35573bc1

Observation c0ef665a-6c16-45e6-8792-6de3c88f71fe · outbound

This paper cites Proximal algorithms.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Proximal algorithms

Reference 19

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raw_fallback, observed 2026-08-11T19:42:06.496282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.866767Z digest=sha256:196996a7dd7d17a3b458672ebc5d8a20aead92dad5f79c3a848d4491db501813

Observation a7501224-0690-41fa-93a9-2a78ee04c6ae · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Pytorch: An imperative style, high-performance deep learning library

Reference 20

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raw_fallback, observed 2026-08-11T19:42:06.468426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.874082Z digest=sha256:9ed30355bb4b7601dcfc8791a9913677463760591ba038d581c031d5c672f7bb

Observation c771f06f-597a-4736-a927-930d903fdd1b · outbound

This paper cites Model predictive control: theory, computation, and design, volume 2.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Model predictive control: theory, computation, and design, volume 2

Reference 21

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no resolver link, observed 2026-08-11T19:42:05.881183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:42:05.881183Z digest=sha256:0632ae89b4a8d446433a875e62b58d53956f220e8676792cb974f226a7202504

Observation 3c284476-e006-4f21-974b-771f832efbc8 · outbound

This paper cites A direct adaptive method for faster backpropagation learning: the rprop algorithm.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization A direct adaptive method for faster backpropagation learning: the rprop algorithm

Reference 22

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raw_fallback, observed 2026-08-11T19:42:06.419949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.893693Z digest=sha256:9f072abe3e20d86c61871be243515c10c4cfb75f044f120a374e270a0d269c93

Observation e5ee9281-3849-46b1-af4b-ddf3501895d6 · outbound

This paper cites Learning representations by back-propagating errors.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Learning representations by back-propagating errors

Reference 23

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source=arxiv_source observed=2026-08-11T19:42:05.902720Z digest=sha256:6d85f9d6235c9d8953a9e43bbf6fc6ae83d264a6ea632cf7a29cab5c4b1b045f

Observation 7114ba09-604c-460f-b8e8-4c8a59bd970a · outbound

This paper cites Ryu and Wotao Yin.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Ryu and Wotao Yin

Reference 24

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raw_fallback, observed 2026-08-11T19:42:06.370103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.910333Z digest=sha256:2aa64e86517ea636457d90427229998fbe1674ba8310efe55fd71c9973080f9c

Observation fc27e819-476e-4ce9-9499-e784220d7915 · outbound

This paper cites Learning Quadruped Locomotion Using Differentiable Simulation.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Learning Quadruped Locomotion Using Differentiable Simulation

Reference 25

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no resolver link, observed 2026-08-11T19:42:05.914768Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:42:05.914768Z digest=sha256:0960ab9e07b21caada400146a0bd91277a79c2d90896e743093a7d53c1d53418

Observation 6ee0e4df-aca5-4228-8459-7c57b9c7afe3 · outbound

This paper cites van Waarde, Claudio De Persis, M.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization van Waarde, Claudio De Persis, M

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.190485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.923553Z digest=sha256:aa975ecd050b1b3b23248ec4eb76e60d7c5d396ec1fc19303f4c1bfe4e9ad07f

Observation f6b69db5-8c07-4908-a5f0-beee98501cb3 · outbound

This paper cites Data informativity: A new perspective on data-driven analysis and control.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Data informativity: A new perspective on data-driven analysis and control

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.165047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.931350Z digest=sha256:ef4159d94fd0297532bf7fd0af78b0ae18a7121b7ff0be0ed8dbcaf3d4e8b317

Observation d3d05b16-3a95-4721-8c64-1ded57ff8549 · outbound

This paper cites u est, Antonio Loquercio, Matthias M \.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization u est, Antonio Loquercio, Matthias M \

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.139938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.937553Z digest=sha256:0923450531da85efc876c3f650afba0d9404922f07878386cf43c06370f29034

Observation d655c54d-f6ea-4d50-bcc1-ed8cd9401278 · outbound

This paper cites Data-driven system level synthesis.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Data-driven system level synthesis

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-11T19:42:06.116182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.944595Z digest=sha256:e71c45c81dd204cec531a37fa53660bbbdb798302c1d4c34cda544a9dc18d12f

Observation d7107f05-0d10-4f68-a93c-8089c7c28300 · outbound

This paper cites BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation.

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization BP-MPC: Optimizing the Closed-Loop Performance of MPC using BackPropagation

Reference 30

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local_arxiv, observed 2026-08-11T19:42:06.016371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T19:42:05.952275Z digest=sha256:555def29c713688e16ca3a3fd090d19c680503ebcb025c04b67dac576eb45eef

Pith citing papers

Observation 04f51744-6ffe-4ac5-ad72-5865446d014c · inbound

Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning cites this paper.

Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization

Reference 55

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verified exact
local_arxiv, observed 2026-08-07T12:24:03.855862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:24:03.488121Z digest=sha256:1ddd5827469682021c8aa0f482c2992d30b17340d5cffebc1fe7fd661a386fdc