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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 2026-08-19T06:32:44.657259+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

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  • 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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T04:52:22.083833Z digest=sha256:37cb4c30bc71772cf5fd985708d56538c02f8046a6518583d0f4f8f19024ace9

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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source=arxiv_source observed=2026-08-12T04:52:22.100011Z digest=sha256:e3f63b69a8275b2abe299ea387f714187e052bb0e95214c414274f611daf052c

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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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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

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:52:22.124003Z digest=sha256:efd70527b400381bf88fea7e628c9b5cba2eed9c7abe26e8c7f18cb7a39da948

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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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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

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source=arxiv_source observed=2026-08-12T04:52:22.153342Z digest=sha256:8be5d9b6a1fc06e6203554537664b4855c16e660fe7adea36b8d6a7c83b7bb54

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T04:52:22.163127Z digest=sha256:c0584dccbd1c2db46e5fd7376eb6ae22f2272e32764cd63e1ef19aee0f947345

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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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

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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

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

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source=arxiv_source observed=2026-08-12T04:52:22.184271Z digest=sha256:4e9fd87d050e85d475038445d82bb9f2bc8f3cf39c37ca3fa2bdb4d819b268c9

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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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

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

This paper cites an unresolved cited work.

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

Reference 29

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T04:52:22.214376Z digest=sha256:1c20a8959aedb9ac5387a5a02758ce30f7eeb36a1d7b7c1cf381671f46a50328

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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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

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