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Paper Citation Record · LEDGER

Quadratic Surface Support Vector Machine with L1 Norm Regularization

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.08616.

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pith.paper-citation-record.v1
1908.08616 v2

Coverage vector

measured 34 of 34 reference resolution

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measured 34 of 34 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation 001908c8-ae74-4394-b395-9f7916fb0152 · outbound

This paper cites UCI machine learning repository, 2007.

Quadratic Surface Support Vector Machine with L1 Norm Regularization UCI machine learning repository, 2007

Reference 1

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Observation 01de90e0-2cf9-46c7-b879-d84d994440e3 · outbound

This paper cites Quadratickernel-freeleastsquaressupportvector machine for target diseases classification.Journal of Combinatorial Optimization, 30(4):850–870, 2015.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Quadratickernel-freeleastsquaressupportvector machine for target diseases classification.Journal of Combinatorial Optimization, 30(4):850–870, 2015

Reference 2

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This paper cites Nonlinear programming.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Nonlinear programming

Reference 3

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This paper cites Springer Science & Business Media, 2010.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Springer Science & Business Media, 2010

Reference 4

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Observation 59fdb6e0-933d-43f4-81fe-17fbf95a88ce · outbound

This paper cites Support-vector networks.Machine learning, 20(3):273–297, 1995.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Support-vector networks.Machine learning, 20(3):273–297, 1995

Reference 5

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Unavailable: canonical work link unavailable.

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Observation dfce2c56-be24-478d-9aae-a463cb2e73d4 · outbound

This paper cites Cambridge university press, 2000.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Cambridge university press, 2000

Reference 6

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Observation 1584c711-1b9f-4ffe-9068-e4deea1dd163 · outbound

This paper cites Quadratic kernel-free non-linear support vector machine.Journal of Global Opti- mization, 41(1):15–30, 2008.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Quadratic kernel-free non-linear support vector machine.Journal of Global Opti- mization, 41(1):15–30, 2008

Reference 7

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Observation ca162d1b-1978-476a-be28-9934eeaff757 · outbound

This paper cites A generalized approach to sparse and stable portfolio optimization problem.

Quadratic Surface Support Vector Machine with L1 Norm Regularization A generalized approach to sparse and stable portfolio optimization problem

Reference 8

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Observation 04114bf3-968c-411d-add8-324c7ac63574 · outbound

This paper cites Chapman and Hall/CRC, 2012.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Chapman and Hall/CRC, 2012

Reference 9

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This paper cites Asurveyofmachinelearninginwirelesssensornetworksfromnetworking and application perspectives.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Asurveyofmachinelearninginwirelesssensornetworksfromnetworking and application perspectives

Reference 10

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Observation 68fe4696-3fd8-4961-9f6a-c97b55198097 · outbound

This paper cites Schur complements and applications.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Schur complements and applications

Reference 11

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Observation 8b5cca8a-ba66-480b-a511-f12fe881c871 · outbound

This paper cites A kernel-free double well po- tential support vector machine with applications.

Quadratic Surface Support Vector Machine with L1 Norm Regularization A kernel-free double well po- tential support vector machine with applications

Reference 12

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Observation f5d15da4-7a07-4014-809f-b3a8cda94ae4 · outbound

This paper cites Rescaled pure greedy algorithm for convex optimization.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Rescaled pure greedy algorithm for convex optimization

Reference 13

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Observation 7fb4c357-f480-41aa-a40f-54ed07a8e14b · outbound

This paper cites High dimensional data classification and feature selec- tion using support vector machines.European Journal of Operational Research, 265(3):993–1004, 2018.

Quadratic Surface Support Vector Machine with L1 Norm Regularization High dimensional data classification and feature selec- tion using support vector machines.European Journal of Operational Research, 265(3):993–1004, 2018

Reference 14

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Observation b3d8caf2-d453-485c-b21c-00028d5d25a5 · outbound

This paper cites A new method on gene selection for tissue classification.Journal of Industrial and Management Optimization, 3(4):739, 2007.

Quadratic Surface Support Vector Machine with L1 Norm Regularization A new method on gene selection for tissue classification.Journal of Industrial and Management Optimization, 3(4):739, 2007

Reference 15

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Observation 8ab609ef-1f5d-47b3-b705-a2b0014e3105 · outbound

This paper cites Complexity measures of supervised classification problems.IEEE Transactions on Pattern Analysis & Machine Intelligence, (3):289–300, 2002.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Complexity measures of supervised classification problems.IEEE Transactions on Pattern Analysis & Machine Intelligence, (3):289–300, 2002

Reference 16

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Observation ba6e75b7-cc08-493f-82cd-660b13ee0858 · outbound

This paper cites Solution existence and stability of quadrat- ically constrained convex quadratic programs.Optimization Letters, 6(2):363–373, 2012.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Solution existence and stability of quadrat- ically constrained convex quadratic programs.Optimization Letters, 6(2):363–373, 2012

Reference 17

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Source-reported events for the cited work

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Observation 8a150fc4-3ba6-4704-b030-86c8623a3e0a · outbound

This paper cites Applications of machine learning and rule induction.Com- munications of the ACM, 38(11):54–64, 1995.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Applications of machine learning and rule induction.Com- munications of the ACM, 38(11):54–64, 1995

Reference 18

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Source-reported events for the cited work

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Observation 15e9ebf7-bebd-433f-b94d-2e4125db6663 · outbound

This paper cites Taking Advantage of Sparsity in Multi-Task Learning.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Taking Advantage of Sparsity in Multi-Task Learning

Reference 19

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Source-reported events for the cited work

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Observation bcc4d410-cb21-4fbd-a809-a0b27db05866 · outbound

This paper cites Fuzzy quadratic surface support vector machine based on Fisher discriminant analysis.Journal of Industrial and Management Optimization, 12(1):357–373, 2016.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Fuzzy quadratic surface support vector machine based on Fisher discriminant analysis.Journal of Industrial and Management Optimization, 12(1):357–373, 2016

Reference 20

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Observation 2714147a-334c-4e9f-8847-3a2378dfaedc · outbound

This paper cites Softquadraticsurfacesupportvector machine for binary classification.Asia-Pacific Journal of Operational Research, 33(06):1650046, 2016.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Softquadraticsurfacesupportvector machine for binary classification.Asia-Pacific Journal of Operational Research, 33(06):1650046, 2016

Reference 21

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Observation 353d3a4a-8f48-4da2-a1a8-718d9f5c148f · outbound

This paper cites Benchmarking robustness of load forecasting models under data integrity attacks.International Journal of Forecasting, 34(1):89–104, 2018.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Benchmarking robustness of load forecasting models under data integrity attacks.International Journal of Forecasting, 34(1):89–104, 2018

Reference 22

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

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Observation d0af8784-acb6-4427-b102-02b79ee761ed · outbound

This paper cites The elimination matrix: some lemmas and applications.SIAM Journal on Algebraic Discrete Methods, 1(4):422–449, 1980.

Quadratic Surface Support Vector Machine with L1 Norm Regularization The elimination matrix: some lemmas and applications.SIAM Journal on Algebraic Discrete Methods, 1(4):422–449, 1980

Reference 23

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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.

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Observation 86079d4f-a403-4f5e-964f-48ce804f6810 · outbound

This paper cites Uniqueness of solution in linear programming.Linear Algebra and its Applica- tions, 25:151–162, 1979.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Uniqueness of solution in linear programming.Linear Algebra and its Applica- tions, 25:151–162, 1979

Reference 24

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Source-reported events for the cited work

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Observation 4d45224a-053a-4440-8acd-4b4e55a3c5aa · outbound

This paper cites Machine learning approaches to manufacturing.CIRP annals, 45(2):675–712, 1996.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Machine learning approaches to manufacturing.CIRP annals, 45(2):675–712, 1996

Reference 25

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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 2026-08-15T06:32:42.880941+00:00.

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This paper cites A survey on compressive sensing: clas- sical results and recent advancements.Journal of Mathematical Modeling, 8(3):309–344, 2020.

Quadratic Surface Support Vector Machine with L1 Norm Regularization A survey on compressive sensing: clas- sical results and recent advancements.Journal of Mathematical Modeling, 8(3):309–344, 2020

Reference 26

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Source-reported events for the cited work

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Observation 52740524-8188-45fa-9882-580d1b3b913c · outbound

This paper cites Solution uniqueness of convex piecewise affine functions based optimization with applications to constrained𝓁1 minimization.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Solution uniqueness of convex piecewise affine functions based optimization with applications to constrained𝓁1 minimization

Reference 27

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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.

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Observation 863ae95c-d2c5-4644-8ea8-1900808f0bd4 · outbound

This paper cites Pedregosa, G.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Pedregosa, G

Reference 28

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

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Observation c4bd840a-c0bd-45d2-9969-91764f69c525 · outbound

This paper cites A fast 𝓁1-solver and its applications to robust face recognition.Journal of Industrial and Manage- ment Optimization, 8:163–178, 2012.

Quadratic Surface Support Vector Machine with L1 Norm Regularization A fast 𝓁1-solver and its applications to robust face recognition.Journal of Industrial and Manage- ment Optimization, 8:163–178, 2012

Reference 29

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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.

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Observation 20389f8c-65b2-4905-9043-fb14d83ed03d · outbound

This paper cites Stable sparse approximations via nonconvex optimization.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Stable sparse approximations via nonconvex optimization

Reference 30

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Source-reported events for the cited work

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

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Observation e58235ae-9cae-496e-8981-0990b6e42046 · outbound

This paper cites Learning with kernels: support vector machines, regularization, optimization, and beyond.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Learning with kernels: support vector machines, regularization, optimization, and beyond

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 99c90cfa-ec21-4676-9c71-a93114bac59e · outbound

This paper cites Least sparsity ofp-norm based optimization problems with p> 1.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Least sparsity ofp-norm based optimization problems with p> 1

Reference 32

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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.

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Observation c71f712e-12fd-4ba4-a1e2-08a66c08ad72 · outbound

This paper cites Exact Support and Vector Recovery of Constrained Sparse Vectors via Constrained Matching Pursuit.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Exact Support and Vector Recovery of Constrained Sparse Vectors via Constrained Matching Pursuit

Reference 33

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local_arxiv, observed 2026-08-14T11:43:13.449725Z

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=2026-08-14T11:43:13.409281Z digest=sha256:e393298f251b21e492a2ca2a168a638f3d5544f6c646da358ac4cbe54593ef8b

Observation eebc8e5c-d458-417e-b65a-1de00fe764f7 · outbound

This paper cites Robust and sparse portfolio model for index tracking.

Quadratic Surface Support Vector Machine with L1 Norm Regularization Robust and sparse portfolio model for index tracking

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:43:13.472547Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-14T11:43:13.413029Z digest=sha256:4e42fea1645487db99299591bb73966350e6c6f4cc6686944651d67327220207

Pith citing papers

No inbound Pith citation observations are available.