Paper Citation Record · LEDGER

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2412.01051.

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

pith.paper-citation-record.v1
2412.01051 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:52:22.214376Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:50:48.956327Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T19:50:49.100766Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy12
unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82aa8e3a-dffd-4bc7-83ee-cf53cf8a9f3f · outbound

This paper cites On implementing a primal-dual interior-point method for conic quadratic optimization.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling On implementing a primal-dual interior-point method for conic quadratic optimization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.737784Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c92d7e49-ecf5-4320-9dd0-4a8533578ce9 · outbound

This paper cites Machine learning for combinatorial optimization: a methodological tour d’horizon.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Machine learning for combinatorial optimization: a methodological tour d’horizon

Reference 2

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Observation 4f618af7-e122-44b2-bb6e-4c83a2fbd4d1 · outbound

This paper cites Multi-period trading via convex optimization.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Multi-period trading via convex optimization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.712554Z

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Observation e78f0525-46c0-42cf-b2dc-96511bb75674 · outbound

This paper cites Enhancing sparsity by reweighted l_1 minimization.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Enhancing sparsity by reweighted l_1 minimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.696427Z

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Observation b1bf32c5-8491-4eb9-a2ea-0c1d4db31a2f · outbound

This paper cites Learning to optimize: A tutorial for continuous and mixed-integer optimization.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Learning to optimize: A tutorial for continuous and mixed-integer optimization

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.680614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 479d97be-f505-442e-b098-bfe9ca77d1d3 · outbound

This paper cites On Representing Linear Programs by Graph Neural Networks.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling On Representing Linear Programs by Graph Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.094467Z

Source-reported events for the cited work

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Observation 63d12a44-0b1b-4dfc-ac04-379474e30ff3 · outbound

This paper cites Expressive power of graph neural networks for (mixed-integer) quadratic programs.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Expressive power of graph neural networks for (mixed-integer) quadratic programs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.100011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52c00163-b373-4cdc-94f3-1dad0f1dfdba · outbound

This paper cites Support-vector networks.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Support-vector networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.105073Z

Source-reported events for the cited work

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Observation 2884d99c-5c5d-4b37-89a7-889d895b7173 · outbound

This paper cites Linear programming and extensions.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Linear programming and extensions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.655136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5b9e9ff-c3be-4322-b326-f85185d9daf7 · outbound

This paper cites QPLIB : A library of quadratic programming instances.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling QPLIB : A library of quadratic programming instances

Reference 10

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Source-reported events for the cited work

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Observation be6a2742-f4b9-444a-9517-7557a91c0b03 · outbound

This paper cites Model predictive control: Theory and practice—a survey.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Model predictive control: Theory and practice—a survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.119626Z

Source-reported events for the cited work

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Observation f59f5692-2841-4a55-ac66-485a8e640ceb · outbound

This paper cites The machine learning for combinatorial optimization competition (ml4co): Results and insights.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling The machine learning for combinatorial optimization competition (ml4co): Results and insights

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.124003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9fae49c-c746-4e11-8518-905a01210bdf · outbound

This paper cites Pdhg-unrolled learning-to-optimize method for large-scale linear programming.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Pdhg-unrolled learning-to-optimize method for large-scale linear programming

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.618256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fffee2b8-0512-4310-8bb4-f1a99ed5fb6a · outbound

This paper cites Efficient and interpretable deep blind image deblurring via algorithm unrolling.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Efficient and interpretable deep blind image deblurring via algorithm unrolling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.602589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38188c4b-e1d4-4aeb-8f6f-08d6a5ad5038 · outbound

This paper cites Knowledge-driven deep unrolling for robust image layer separation.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Knowledge-driven deep unrolling for robust image layer separation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.586610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 370ed34d-1faa-4318-bccb-99f6d243a784 · outbound

This paper cites A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming

Reference 17

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Source-reported events for the cited work

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Observation 4e190e6c-5232-40da-bf43-07ea40b27f47 · outbound

This paper cites Portfolio selection.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Portfolio selection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.153342Z

Source-reported events for the cited work

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Observation 12e5b75c-5660-41fd-a389-bf789677a171 · outbound

This paper cites A repository of convex quadratic programming problems.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling A repository of convex quadratic programming problems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.570796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c630a47b-0688-4b2b-9ae1-f183065f8f0f · outbound

This paper cites Solving Mixed Integer Programs Using Neural Networks.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Solving Mixed Integer Programs Using Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.163127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff1f4032-09c2-4df0-90e2-9e455db8ddc5 · outbound

This paper cites Operator splitting for a homogeneous embedding of the linear complementarity problem.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Operator splitting for a homogeneous embedding of the linear complementarity problem

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.555578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 295ccb89-6866-4009-8021-07718abeb5fb · outbound

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

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Pytorch: An imperative style, high-performance deep learning library

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.174780Z

Source-reported events for the cited work

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Observation 465ce3b6-28f9-40d6-9fe5-46a4bc238ae7 · outbound

This paper cites Osqp: An operator splitting solver for quadratic programs.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Osqp: An operator splitting solver for quadratic programs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.179631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c49178b-97d5-4a9f-a318-bb2be8f30e88 · outbound

This paper cites Primal-dual interior-point methods.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Primal-dual interior-point methods

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.184271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92fe6a51-800f-47f4-b823-e3386ce37553 · outbound

This paper cites Fista-net: Learning a fast iterative shrinkage thresholding network for inverse problems in imaging.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Fista-net: Learning a fast iterative shrinkage thresholding network for inverse problems in imaging

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.508605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e838b9c5-7e51-4381-9d0d-46d28b63931f · outbound

This paper cites Ista-net: Interpretable optimization-inspired deep network for image compressive sensing.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Ista-net: Interpretable optimization-inspired deep network for image compressive sensing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:52:22.492870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a2d0f38-7dc6-4884-a138-1c2e0ba0c126 · outbound

This paper cites write newline.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling write newline

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.198706Z

Source-reported events for the cited work

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Observation 503c57f1-47eb-485b-b79b-11837564d854 · outbound

This paper cites @esa (Ref.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling @esa (Ref

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.204522Z

Source-reported events for the cited work

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Observation 82d4461f-baf6-4084-8ab3-7fc651e1438d · outbound

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An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T04:52:22.209654Z

Source-reported events for the cited work

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Observation a875d2b3-ec30-401a-8483-d18ada49be63 · outbound

This paper cites an unresolved cited work.

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:52:22.447081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 353af111-18e1-487c-bd8c-b2af740c7444 · inbound

Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting cites this paper.

Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling

Reference 1959

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:50:49.106817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca8a5235-f0d6-4387-8d17-56772ae3b2d6 · inbound

Reachability Across the NL/PL Boundary: A Taxonomy-Driven Dataflow Model for LLM-Integrated Applications cites this paper.

Reachability Across the NL/PL Boundary: A Taxonomy-Driven Dataflow Model for LLM-Integrated Applications An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-13T16:24:28.182375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.