Paper Citation Record · LEDGER

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2603.05060.

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

pith.paper-citation-record.v1
2603.05060 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-15T14:50:37.075540Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e8c7615-9fe0-41ae-a75f-72b02310772d · outbound

This paper cites Multitask learning,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Multitask learning,

Reference 1

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Observation e2918482-5cc1-494a-a5e7-50d6ce2c3cbb · outbound

This paper cites Multi-Task Learning with Deep Neural Networks: A Survey.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Multi-Task Learning with Deep Neural Networks: A Survey

Reference 2

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Observation e04d9509-53ea-4337-a678-4bf1f3327e3a · outbound

This paper cites A survey on transfer learning,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects A survey on transfer learning,

Reference 3

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Observation 5e526acf-5e3b-4392-a4f3-64fbce14028c · outbound

This paper cites Regularized multi–task learning,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Regularized multi–task learning,

Reference 4

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Observation 68224ca9-cb79-4d0e-b541-51fdd99974f1 · outbound

This paper cites Reconciling modern machine learning practice and the bias-variance trade-off.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Reconciling modern machine learning practice and the bias-variance trade-off

Reference 6

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Observation 7fe49b54-6d7a-4e2d-ada3-bbead6d27691 · outbound

This paper cites To understand deep learning we need to understand kernel learning,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects To understand deep learning we need to understand kernel learning,

Reference 7

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Observation 5d8dd3d4-b239-4cc3-9614-63a71ec7a4ad · outbound

This paper cites Overfitting or perfect fitting? risk bounds for classification and regression rules that interpolate,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Overfitting or perfect fitting? risk bounds for classification and regression rules that interpolate,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-15T14:50:37.075540Z

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Observation 585cf498-eb68-4631-b2dc-a3265137b980 · outbound

This paper cites Two models of double descent for weak features.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Two models of double descent for weak features

Reference 9

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Observation 143bf49f-75c9-4abf-a0e9-c094f059162a · outbound

This paper cites A model of double descent for high-dimensional binary linear classification,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects A model of double descent for high-dimensional binary linear classification,

Reference 10

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Observation b97ec933-e79d-4c26-a78d-1582fdabeb03 · outbound

This paper cites Harmless interpolation of noisy data in regression.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Harmless interpolation of noisy data in regression

Reference 11

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Observation 8bf805f4-a40d-4241-875b-1d0c1f16472d · outbound

This paper cites Precise error analysis of regularized � -estimators in high dimensions,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Precise error analysis of regularized � -estimators in high dimensions,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-15T14:50:37.075540Z

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Observation f8da83cb-fb81-419f-9221-2a0bd61acd8b · outbound

This paper cites Direct transfer of learned information among neural networks,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Direct transfer of learned information among neural networks,

Reference 13

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Observation b6e40f57-b1f3-463e-a1c4-4013f0dfb60e · outbound

This paper cites Multi- task feature learning,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Multi- task feature learning,

Reference 14

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Observation ebaf7cf0-45df-459d-8464-d184b1133b52 · outbound

This paper cites Multi- task learning for classification with dirichlet process priors,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Multi- task learning for classification with dirichlet process priors,

Reference 15

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Observation 4a4fb0a6-0ab4-4c31-b8a3-a17658998944 · outbound

This paper cites Multitask linear discriminant analysis for view invariant action recognition,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Multitask linear discriminant analysis for view invariant action recognition,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-15T14:50:37.075540Z

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Observation d477ef58-1606-4c7f-a10c-5da619f10a22 · outbound

This paper cites Visual classification with multitask joint sparse representation,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Visual classification with multitask joint sparse representation,

Reference 17

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Observation 2347cf9e-655f-42e9-9b6b-3861d84ce132 · outbound

This paper cites Ac- celerated gradient method for multi-task sparse learning problem,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Ac- celerated gradient method for multi-task sparse learning problem,

Reference 18

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Observation 15989736-471f-47a1-bcb6-f9f0b7b8db60 · outbound

This paper cites Clustered support vector machines,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Clustered support vector machines,

Reference 19

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Observation 8f952265-eeca-4ce6-9671-f5a66b981d9b · outbound

This paper cites A convex formulation for learning a shared predictive structure from multiple tasks,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects A convex formulation for learning a shared predictive structure from multiple tasks,

Reference 20

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Observation 64348589-d713-4a2a-ae36-3c5acc163efd · outbound

This paper cites Algorithm-dependent generalization bounds for multi-task learning,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Algorithm-dependent generalization bounds for multi-task learning,

Reference 21

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Observation 08d1e53d-dc01-4b5b-9b6e-bea3e48ad51e · outbound

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Large Dimensional Analysis and Improvement of Multi Task Learning

Reference 22

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This paper cites Phase Retrieval via Polytope Optimization: Geometry, Phase Transitions, and New Algorithms.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Phase Retrieval via Polytope Optimization: Geometry, Phase Transitions, and New Algorithms

Reference 23

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Phase transitions in transfer learning for high-dimensional perceptrons,

Reference 24

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Observation 7ffb0cb4-7edf-4886-9871-cd6dd1437bec · outbound

This paper cites Optimum gssk transmission in massive mimo systems using the box-lasso decoder,.

Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Optimum gssk transmission in massive mimo systems using the box-lasso decoder,

Reference 25

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Observation 6758d8a4-ae5d-4b49-98a9-cd1b02fe632e · outbound

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects A pre- cise performance analysis of support vector regression,

Reference 26

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Observation e7eead8f-9981-4900-ad5b-4c9616f5a0e8 · outbound

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Precise performance analysis of the box-elastic net under matrix uncertainties,

Reference 27

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects The impact of regularization on high-dimensional logistic regression,

Reference 28

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects A precise performance analysis of learning with random features,

Reference 29

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects On milman’s inequality and random subspaces which escape through a mesh in r,

Reference 30

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects A framework to characterize performance of LASSO algorithms

Reference 31

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects A novel gaussian min-max theorem and its applications,

Reference 32

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects On the inherent regularization effects of noise injection during training,

Reference 33

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Universality laws for randomized dimension reduction, with applications,

Reference 34

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects A universal analysis of large-scale regularized least squares solutions,

Reference 35

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Solving the trust-region subproblem by a generalized eigenvalue problem,

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Cox’s regression model for counting processes: A large sample study,

Reference 37

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Large sample estimation and hypothesis testing-chapter 36,

Reference 38

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Mmse analysis of certain large isometric random precoded systems,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-15T14:50:37.075540Z

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Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects Unresolved cited work

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