A Classical View on Benign Overfitting: The Role of Sample Size | Paper Citation Record

Observation b67eec89-3e5e-4aee-8632-729bbd5c2926 · outbound

This paper cites The N eural T angent K ernel in H igh D imensions: T riple D escent and a M ulti- S cale T heory of G eneralization.

A Classical View on Benign Overfitting: The Role of Sample Size The N eural T angent K ernel in H igh D imensions: T riple D escent and a M ulti- S cale T heory of G eneralization

Reference 1

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A Classical View on Benign Overfitting: The Role of Sample Size Unresolved cited work

Reference 2

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This paper cites Learning and G eneralization in O verparameterized N eural N etworks, G oing B eyond T wo L ayers.

A Classical View on Benign Overfitting: The Role of Sample Size Learning and G eneralization in O verparameterized N eural N etworks, G oing B eyond T wo L ayers

Reference 3

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Observation dce4cf2d-bcd1-4fd8-8f89-a2890f6022a3 · outbound

This paper cites A C onvergence T heory for D eep L earning via O ver- P arameterization.

A Classical View on Benign Overfitting: The Role of Sample Size A C onvergence T heory for D eep L earning via O ver- P arameterization

Reference 4

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Observation db0e07da-64b6-4e73-94c1-c314c6a64371 · outbound

This paper cites Fine- G rained A nalysis of O ptimization and G eneralization for O verparameterized T wo- L ayer N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Fine- G rained A nalysis of O ptimization and G eneralization for O verparameterized T wo- L ayer N eural N etworks

Reference 5

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This paper cites Sharp E stimates for E igenvalues of I ntegral O perators G enerated by D ot P roduct K ernels on the S phere.

A Classical View on Benign Overfitting: The Role of Sample Size Sharp E stimates for E igenvalues of I ntegral O perators G enerated by D ot P roduct K ernels on the S phere

Reference 6

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This paper cites On the I mplicit B ias of I nitialization S hape: B eyond I nfinitesimal M irror D escent.

A Classical View on Benign Overfitting: The Role of Sample Size On the I mplicit B ias of I nitialization S hape: B eyond I nfinitesimal M irror D escent

Reference 7

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Observation 9c041da5-bf16-4642-b80e-f0ff0bbcedb1 · outbound

This paper cites Benign O verfitting in L inear R egression.

A Classical View on Benign Overfitting: The Role of Sample Size Benign O verfitting in L inear R egression

Reference 8

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Observation 527125f6-61bc-4edd-b4c9-4446964d5fef · outbound

This paper cites Deep L earning: A S tatistical V iewpoint.

A Classical View on Benign Overfitting: The Role of Sample Size Deep L earning: A S tatistical V iewpoint

Reference 9

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Observation 63d71d47-199b-4aab-8b73-fbfc96a40734 · outbound

This paper cites Generalization in K ernel R egression U nder R ealistic A ssumptions.

A Classical View on Benign Overfitting: The Role of Sample Size Generalization in K ernel R egression U nder R ealistic A ssumptions

Reference 10

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Observation 96b1d21c-a3d3-4374-99f5-6117652699ff · outbound

This paper cites On the I nconsistency of K ernel R idgeless R egression in F ixed D imensions.

A Classical View on Benign Overfitting: The Role of Sample Size On the I nconsistency of K ernel R idgeless R egression in F ixed D imensions

Reference 11

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Observation 37d90c99-2a3f-435d-9d94-590460ebbd9d · outbound

This paper cites Reconciling M odern M achine- L earning P ractice and the C lassical B ias-- V ariance T rade- O ff.

A Classical View on Benign Overfitting: The Role of Sample Size Reconciling M odern M achine- L earning P ractice and the C lassical B ias-- V ariance T rade- O ff

Reference 12

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Observation 42ebc3f3-e46c-4544-9150-4ec3c94d2541 · outbound

This paper cites Reproducing K ernel H ilbert S paces in P robability and S tatistics.

A Classical View on Benign Overfitting: The Role of Sample Size Reproducing K ernel H ilbert S paces in P robability and S tatistics

Reference 13

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Observation e857774f-0974-48a6-ab42-00cf4f7406de · outbound

This paper cites On the I nductive B ias of N eural T angent K ernels.

A Classical View on Benign Overfitting: The Role of Sample Size On the I nductive B ias of N eural T angent K ernels

Reference 14

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Observation b575b2c3-e1b3-4dbb-9186-9d3df7e789e0 · outbound

This paper cites Implicit B ias of MSE G radient O ptimization in U nderparameterized N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Implicit B ias of MSE G radient O ptimization in U nderparameterized N eural N etworks

Reference 15

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Observation 02f0fb27-88d9-4dd7-b9f4-a2b8ad3621fe · outbound

This paper cites Spectral B ias O utside T he T raining S et for D eep N etworks in the K ernel R egime.

A Classical View on Benign Overfitting: The Role of Sample Size Spectral B ias O utside T he T raining S et for D eep N etworks in the K ernel R egime

Reference 16

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Observation 5b1c1279-74ca-4256-9e53-91c2499215f9 · outbound

This paper cites Kernel I nterpolation in S obolev S paces is not C onsistent in L ow D imensions.

A Classical View on Benign Overfitting: The Role of Sample Size Kernel I nterpolation in S obolev S paces is not C onsistent in L ow D imensions

Reference 17

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Observation c4048244-6a9a-42c7-ad7d-389efb9990a7 · outbound

This paper cites Towards understanding the spectral bias of deep learning.

A Classical View on Benign Overfitting: The Role of Sample Size Towards understanding the spectral bias of deep learning

Reference 18

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Observation d06235dd-44e6-42e3-b379-816646bcacd8 · outbound

This paper cites Benign O verfitting in T wo- L ayer C onvolutional N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Benign O verfitting in T wo- L ayer C onvolutional N eural N etworks

Reference 19

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Observation cc6e6fcb-4e51-4ac8-9d47-6a029f06fd8f · outbound

This paper cites Optimal R ates for the R egularized L east- S quares A lgorithm.

A Classical View on Benign Overfitting: The Role of Sample Size Optimal R ates for the R egularized L east- S quares A lgorithm

Reference 20

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Observation cc9bd632-1659-4b7e-8302-5efbd823b8fb · outbound

This paper cites Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum.

A Classical View on Benign Overfitting: The Role of Sample Size Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

Reference 21

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Observation 6471be84-37b4-4d1e-b9d1-2414ab9bc486 · outbound

This paper cites On the R obustness of the M inimim l2 I nterpolator.

A Classical View on Benign Overfitting: The Role of Sample Size On the R obustness of the M inimim l2 I nterpolator

Reference 22

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Observation bcfdb6a9-10fa-4c91-a2dd-0573b8f46137 · outbound

This paper cites On the G lobal C onvergence of G radient D escent for O ver- P arameterized M odels using O ptimal T ransport.

A Classical View on Benign Overfitting: The Role of Sample Size On the G lobal C onvergence of G radient D escent for O ver- P arameterized M odels using O ptimal T ransport

Reference 23

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Observation b1b67eba-2070-483c-b960-c027fff8fa3a · outbound

This paper cites The I nstructor’s G uide to R eal I nduction.

A Classical View on Benign Overfitting: The Role of Sample Size The I nstructor’s G uide to R eal I nduction

Reference 24

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Observation 305caf8d-0704-4ddb-9251-5f7660cfe69d · outbound

This paper cites A U - T urn on D ouble D escent: R ethinking P arameter C ounting in S tatistical L earning.

A Classical View on Benign Overfitting: The Role of Sample Size A U - T urn on D ouble D escent: R ethinking P arameter C ounting in S tatistical L earning

Reference 25

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Observation 1b0f1205-5238-41ae-8a63-6362f87404cf · outbound

This paper cites Gradient D escent F inds G lobal M inima of D eep N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Gradient D escent F inds G lobal M inima of D eep N eural N etworks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.911248Z

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Observation 767266a6-71cb-43e8-b9a4-296238bb0d13 · outbound

This paper cites Gradient D escent P rovably O ptimizes O ver- P arameterized N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Gradient D escent P rovably O ptimizes O ver- P arameterized N eural N etworks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.896273Z

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Observation 3214b530-2065-4b2b-ac8d-5e7a1a731f8d · outbound

This paper cites A C omparative A nalysis of O ptimization and G eneralization P roperties of T wo- L ayer N eural N etwork and R andom F eature M odels under G radient D escent D ynamics.

A Classical View on Benign Overfitting: The Role of Sample Size A C omparative A nalysis of O ptimization and G eneralization P roperties of T wo- L ayer N eural N etwork and R andom F eature M odels under G radient D escent D ynamics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.881275Z

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Observation af974e4c-267b-4c20-b826-9c7a973afdf4 · outbound

This paper cites Benign O verfitting W ithout L inearity: N eural N etwork C lassifiers T rained by G radient D escent for N oisy L inear D ata.

A Classical View on Benign Overfitting: The Role of Sample Size Benign O verfitting W ithout L inearity: N eural N etwork C lassifiers T rained by G radient D escent for N oisy L inear D ata

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.866068Z

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Observation bb681986-4c4e-4bd9-a49e-282411a6b83a · outbound

This paper cites Benign O verfitting in L inear C lassifiers and L eaky R e LU N etworks from KKT C onditions for M argin M aximization.

A Classical View on Benign Overfitting: The Role of Sample Size Benign O verfitting in L inear C lassifiers and L eaky R e LU N etworks from KKT C onditions for M argin M aximization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.851410Z

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Observation d600c0e8-910d-44da-8800-3e8f4857d232 · outbound

This paper cites When do N eural N etworks O utperform K ernel M ethods? Advances in Neural Information Processing Systems, 33: 0 14820--14830, 2020.

A Classical View on Benign Overfitting: The Role of Sample Size When do N eural N etworks O utperform K ernel M ethods? Advances in Neural Information Processing Systems, 33: 0 14820--14830, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.835293Z

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Observation 551eb8c2-14ac-4ee8-8a1c-2dc42ee5e25e · outbound

This paper cites Linearized T wo- L ayers N eural N etworks in H igh D imension.

A Classical View on Benign Overfitting: The Role of Sample Size Linearized T wo- L ayers N eural N etworks in H igh D imension

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.819839Z

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Observation aa0d4a03-e5d2-48d8-a2c0-c37a491f344b · outbound

This paper cites A D istribution- F ree T heory of N onparametric R egression.

A Classical View on Benign Overfitting: The Role of Sample Size A D istribution- F ree T heory of N onparametric R egression

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.804360Z

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Observation 57d035d0-0628-4358-98f6-0e0a8d9777fa · outbound

This paper cites Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension.

A Classical View on Benign Overfitting: The Role of Sample Size Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension

Reference 34

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Observation 5ecb8c1a-a974-474d-a6cb-6134cb051578 · outbound

This paper cites Provable Tempered Overfitting of Minimal Nets and Typical Nets.

A Classical View on Benign Overfitting: The Role of Sample Size Provable Tempered Overfitting of Minimal Nets and Typical Nets

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:40.881067Z

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Observation abd27459-cbfd-4dc9-8abd-938e4fcc812e · outbound

This paper cites The E lements of S tatistical L earning: D ata M ining, I nference, and P rediction , volume 2.

A Classical View on Benign Overfitting: The Role of Sample Size The E lements of S tatistical L earning: D ata M ining, I nference, and P rediction , volume 2

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.789314Z

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Observation 00cebcbe-f23d-44d8-90ba-4f44bc58ee96 · outbound

This paper cites Surprises in H igh- D imensional R idgeless L east S quares I nterpolation.

A Classical View on Benign Overfitting: The Role of Sample Size Surprises in H igh- D imensional R idgeless L east S quares I nterpolation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.773673Z

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Observation 3093c47a-0e72-4e44-a86b-37265938ff01 · outbound

This paper cites Using C ontinuity I nduction.

A Classical View on Benign Overfitting: The Role of Sample Size Using C ontinuity I nduction

Reference 38

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Observation b471a7e0-e7fa-490d-8b6b-59db7eb045d3 · outbound

This paper cites Matrix A nalysis.

A Classical View on Benign Overfitting: The Role of Sample Size Matrix A nalysis

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.742299Z

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

Observation cf18eddc-a7d6-4a89-aa10-59a9871b472d · outbound

This paper cites Neural T angent K ernel: C onvergence and G eneralization in N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Neural T angent K ernel: C onvergence and G eneralization in N eural N etworks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.726625Z

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

Observation cef268ce-5828-46c1-8c76-3969e56dce9a · outbound

This paper cites Directional C onvergence and A lignment in D eep L earning.

A Classical View on Benign Overfitting: The Role of Sample Size Directional C onvergence and A lignment in D eep L earning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.710629Z

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

Observation e04dcd07-9063-45ec-894b-8058aa11ee0d · outbound

This paper cites Implicit B ias of G radient D escent for M ean S quared E rror R egression with T wo- L ayer W ide N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Implicit B ias of G radient D escent for M ean S quared E rror R egression with T wo- L ayer W ide N eural N etworks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.695163Z

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.

Observation 55835b88-b31f-42bc-9282-9c11761fa3df · outbound

This paper cites Noisy I nterpolation L earning with S hallow U nivariate R e LU N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Noisy I nterpolation L earning with S hallow U nivariate R e LU N etworks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.680211Z

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.

Observation 579183af-318c-402e-ba30-8f5740a301fb · outbound

This paper cites On the G eneralization P ower of O verfitted T wo- L ayer N eural T angent K ernel M odels.

A Classical View on Benign Overfitting: The Role of Sample Size On the G eneralization P ower of O verfitted T wo- L ayer N eural T angent K ernel M odels

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.664898Z

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.

Observation 4600932f-0df5-4a98-b6c0-5f7bec813a45 · outbound

This paper cites On the G eneralization P ower of the O verfitted T hree- L ayer N eural T angent K ernel M odel.

A Classical View on Benign Overfitting: The Role of Sample Size On the G eneralization P ower of the O verfitted T hree- L ayer N eural T angent K ernel M odel

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.650039Z

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

Observation 74ad4bfd-d4ca-4474-ba61-6b8f589436a6 · outbound

This paper cites Uniform C onvergence of I nterpolators: G aussian W idth, N orm B ounds and B enign O verfitting.

A Classical View on Benign Overfitting: The Role of Sample Size Uniform C onvergence of I nterpolators: G aussian W idth, N orm B ounds and B enign O verfitting

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.634052Z

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.

Observation d6677538-6760-46c6-8190-a4f6deb5333f · outbound

This paper cites From Tempered to Benign Overfitting in ReLU Neural Networks.

A Classical View on Benign Overfitting: The Role of Sample Size From Tempered to Benign Overfitting in ReLU Neural Networks

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:40.860866Z

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

Observation 2b61b968-610d-4956-be34-2c567ed75acc · outbound

This paper cites Benign Overfitting for Two-layer ReLU Convolutional Neural Networks.

A Classical View on Benign Overfitting: The Role of Sample Size Benign Overfitting for Two-layer ReLU Convolutional Neural Networks

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:40.839644Z

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.

Observation f9fcc3df-6b0e-43b3-b873-fd68963e1553 · outbound

This paper cites Generalization Ability of Wide Neural Networks on $\mathbb{R}$.

A Classical View on Benign Overfitting: The Role of Sample Size Generalization Ability of Wide Neural Networks on $\mathbb{R}$

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:40.254872Z

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Observation c3c5c442-27ec-4623-bf33-38e74def1ef7 · outbound

This paper cites Real and F unctional A nalysis , volume 142.

A Classical View on Benign Overfitting: The Role of Sample Size Real and F unctional A nalysis , volume 142

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.618902Z

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

Observation 26e1926e-beb4-4761-9c05-b5e32d6ea05a · outbound

This paper cites Adaptive E stimation of a Q uadratic F unctional by M odel S election.

A Classical View on Benign Overfitting: The Role of Sample Size Adaptive E stimation of a Q uadratic F unctional by M odel S election

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.603878Z

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.

Observation b26c8900-85af-4f88-9460-8e20f77a5c70 · outbound

This paper cites an unresolved cited work.

A Classical View on Benign Overfitting: The Role of Sample Size Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:04:41.587564Z

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

Observation 6ce41313-6af3-4b57-bdc6-804bae8e44f3 · outbound

This paper cites Stability and G eneralization A nalysis of G radient M ethods for S hallow N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Stability and G eneralization A nalysis of G radient M ethods for S hallow N eural N etworks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.572544Z

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.

Observation 493d6925-dea2-42b4-ae93-780c041c9eae · outbound

This paper cites Kernel I nterpolation G eneralizes P oorly.

A Classical View on Benign Overfitting: The Role of Sample Size Kernel I nterpolation G eneralizes P oorly

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.557576Z

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.

Observation 0069767d-067d-49d5-8633-5bc9a33f43b8 · outbound

This paper cites Towards an Understanding of Benign Overfitting in Neural Networks.

A Classical View on Benign Overfitting: The Role of Sample Size Towards an Understanding of Benign Overfitting in Neural Networks

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:40.281698Z

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Observation b8932cd0-2bab-48ff-a4e2-f520f3fe77ed · outbound

This paper cites R idgeless.

A Classical View on Benign Overfitting: The Role of Sample Size R idgeless

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.542053Z

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.

Observation 52e99e92-24ef-44ce-8cfc-d6d9e45d405a · outbound

This paper cites On the M ultiple D escent of M inimum- N orm I nterpolants and R estricted L ower I sometry of K ernels.

A Classical View on Benign Overfitting: The Role of Sample Size On the M ultiple D escent of M inimum- N orm I nterpolants and R estricted L ower I sometry of K ernels

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.526579Z

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.

Observation 394bb882-afe5-47f1-a389-2f90e012f57f · outbound

This paper cites Benign, T empered, or C atastrophic: T oward a R efined T axonomy of O verfitting.

A Classical View on Benign Overfitting: The Role of Sample Size Benign, T empered, or C atastrophic: T oward a R efined T axonomy of O verfitting

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.510633Z

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.

Observation 4e796de5-d9d5-4654-b282-c6eb74032ef8 · outbound

This paper cites Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality.

A Classical View on Benign Overfitting: The Role of Sample Size Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:40.785257Z

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.

Observation 4152c7e0-b627-4445-8f38-962ce7c63708 · outbound

This paper cites The G eneralization E rror of R andom F eatures R egression: P recise A symptotics and the D ouble D escent C urve.

A Classical View on Benign Overfitting: The Role of Sample Size The G eneralization E rror of R andom F eatures R egression: P recise A symptotics and the D ouble D escent C urve

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.495137Z

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.

Observation 7725862f-b5ec-4f84-bc5e-d27c11d37b00 · outbound

This paper cites A M ean F ield V iew of the L andscape of T wo- L ayers N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size A M ean F ield V iew of the L andscape of T wo- L ayers N eural N etworks

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.479650Z

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.

Observation c7a3bd47-2be2-4b18-a009-cfae01d3ac44 · outbound

This paper cites Mean-field T heory of T wo- L ayers N eural N etworks: D imension- F ree B ounds and K ernel L imit.

A Classical View on Benign Overfitting: The Role of Sample Size Mean-field T heory of T wo- L ayers N eural N etworks: D imension- F ree B ounds and K ernel L imit

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.465179Z

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.

Observation 18df2aa8-9290-4458-9e57-aa03dd8b9732 · outbound

This paper cites Universal K ernels.

A Classical View on Benign Overfitting: The Role of Sample Size Universal K ernels

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.449718Z

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.

Observation 3b7ce493-2d12-4342-b6ff-092f09959fd7 · outbound

This paper cites Foundations of M achine L earning.

A Classical View on Benign Overfitting: The Role of Sample Size Foundations of M achine L earning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.434826Z

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.

Observation 163ddd60-5836-4b0d-9357-2285c059249a · outbound

This paper cites The I nterpolation P hase T ransition in N eural N etworks: M emorization and G eneralization under L azy T raining.

A Classical View on Benign Overfitting: The Role of Sample Size The I nterpolation P hase T ransition in N eural N etworks: M emorization and G eneralization under L azy T raining

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.417061Z

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.

Observation 213cf29c-a7de-476a-9401-8c9a58da3a52 · outbound

This paper cites An elementary analysis of ridge regression with random design.

A Classical View on Benign Overfitting: The Role of Sample Size An elementary analysis of ridge regression with random design

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.399666Z

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.

Observation 0b3873ca-9a8e-49ee-b109-9609f1fc43a5 · outbound

This paper cites Analysis of S pherical S ymmetries in E uclidean S paces , volume 129.

A Classical View on Benign Overfitting: The Role of Sample Size Analysis of S pherical S ymmetries in E uclidean S paces , volume 129

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.383018Z

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.

Observation 76d0b5fa-029d-4989-88a9-c63d4559acaf · outbound

This paper cites Harmless I nterpolation of N oisy D ata in R egression.

A Classical View on Benign Overfitting: The Role of Sample Size Harmless I nterpolation of N oisy D ata in R egression

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.367547Z

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.

Observation 064a4cf9-69f3-4ed3-9649-956a0d53f02e · outbound

This paper cites Uniform C onvergence may be U nable to E xplain G eneralization in D eep L earning.

A Classical View on Benign Overfitting: The Role of Sample Size Uniform C onvergence may be U nable to E xplain G eneralization in D eep L earning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.351700Z

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.

Observation 40d052c9-0951-4783-b0cc-2be7e7f4da4f · outbound

This paper cites Deep D ouble D escent: W here B igger M odels and M ore D ata H urt.

A Classical View on Benign Overfitting: The Role of Sample Size Deep D ouble D escent: W here B igger M odels and M ore D ata H urt

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.334695Z

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.

Observation af8510cd-3b74-4d27-a321-01876579cbde · outbound

This paper cites an unresolved cited work.

A Classical View on Benign Overfitting: The Role of Sample Size Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:40.357720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e651f7-5bf1-40d0-8338-ef9e3ecb5e22 · outbound

This paper cites On the P roof of G lobal C onvergence of G radient D escent for D eep R e LU N etworks with L inear W idths.

A Classical View on Benign Overfitting: The Role of Sample Size On the P roof of G lobal C onvergence of G radient D escent for D eep R e LU N etworks with L inear W idths

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.318890Z

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.

Observation d7a68add-1a33-4622-a320-907d5898cfbf · outbound

This paper cites Toward M oderate O verparameterization: G lobal C onvergence G uarantees for T raining S hallow N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size Toward M oderate O verparameterization: G lobal C onvergence G uarantees for T raining S hallow N eural N etworks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.303516Z

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.

Observation 4677b076-2970-46a0-b8f1-1dac7d751e2b · outbound

This paper cites Regularised Least-Squares Regression with Infinite-Dimensional Output Space.

A Classical View on Benign Overfitting: The Role of Sample Size Regularised Least-Squares Regression with Infinite-Dimensional Output Space

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:40.763764Z

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.

Observation f855f877-4479-4b31-af3d-f4692323f305 · outbound

This paper cites Towards E mpirical P rocess T heory for V ector- V alued F unctions: M etric E ntropy of S mooth F unction C lasses.

A Classical View on Benign Overfitting: The Role of Sample Size Towards E mpirical P rocess T heory for V ector- V alued F unctions: M etric E ntropy of S mooth F unction C lasses

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.288087Z

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.

Observation 17bfb70a-6342-4c0a-b183-d1da3d6d376c · outbound

This paper cites An A pproach to I nequalities for the D istributions of I nfinite- D imensional M artingales.

A Classical View on Benign Overfitting: The Role of Sample Size An A pproach to I nequalities for the D istributions of I nfinite- D imensional M artingales

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.273416Z

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.

Observation ea62e2d2-a2a8-4b89-b850-0297bb52c84c · outbound

This paper cites Methods in N onlinear I ntegral E quations.

A Classical View on Benign Overfitting: The Role of Sample Size Methods in N onlinear I ntegral E quations

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.256541Z

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.

Observation c156d9d8-522e-4fcf-93cc-cffdfebb08f2 · outbound

This paper cites Consistency of I nterpolation with L aplace K ernels is a H igh- D imensional P henomenon.

A Classical View on Benign Overfitting: The Role of Sample Size Consistency of I nterpolation with L aplace K ernels is a H igh- D imensional P henomenon

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.241215Z

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.

Observation f62cf6a0-a15e-44a5-b6fd-b0b9891fe7cb · outbound

This paper cites Matrix A lgebra and its A pplications to S tatistics and E conometrics.

A Classical View on Benign Overfitting: The Role of Sample Size Matrix A lgebra and its A pplications to S tatistics and E conometrics

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.225801Z

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.

Observation 326a9025-3f29-4319-b049-75d769477fe5 · outbound

This paper cites Improved Convergence Guarantees for Shallow Neural Networks.

A Classical View on Benign Overfitting: The Role of Sample Size Improved Convergence Guarantees for Shallow Neural Networks

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:40.740906Z

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.

Observation f76daf43-fa06-4b4e-af86-452fc6502eb6 · outbound

This paper cites Stability & G eneralisation of G radient D escent for S hallow N eural N etworks without the N eural T angent K ernel.

A Classical View on Benign Overfitting: The Role of Sample Size Stability & G eneralisation of G radient D escent for S hallow N eural N etworks without the N eural T angent K ernel

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.209873Z

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.

Observation 7c3bf864-e490-4593-9c77-5cd5a25725e9 · outbound

This paper cites On L earning with I ntegral O perators.

A Classical View on Benign Overfitting: The Role of Sample Size On L earning with I ntegral O perators

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.193998Z

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.

Observation 0af9aa67-f800-41ed-a43e-23a786776ad2 · outbound

This paper cites Generalization properties of learning with random features.

A Classical View on Benign Overfitting: The Role of Sample Size Generalization properties of learning with random features

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:40.414681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a900e6ad-caa0-4b15-a02b-0009fd5c6ef7 · outbound

This paper cites Approximation T heorems of M athematical S tatistics.

A Classical View on Benign Overfitting: The Role of Sample Size Approximation T heorems of M athematical S tatistics

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.166333Z

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.

Observation 67ddda0f-bcb3-42ea-90a4-d14532506f21 · outbound

This paper cites Understanding M achine L earning: F rom T heory to A lgorithms.

A Classical View on Benign Overfitting: The Role of Sample Size Understanding M achine L earning: F rom T heory to A lgorithms

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.150739Z

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.

Observation 17557b25-fe30-4c30-8122-fbc35a8b72f9 · outbound

This paper cites Support V ector M achines.

A Classical View on Benign Overfitting: The Role of Sample Size Support V ector M achines

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:40.428739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff590193-9998-4f0f-9794-c941fbb33526 · outbound

This paper cites A N on- P arametric R egression V iewpoint: G eneralization of O verparametrized D eep R e LU N etwork under N oisy O bservations.

A Classical View on Benign Overfitting: The Role of Sample Size A N on- P arametric R egression V iewpoint: G eneralization of O verparametrized D eep R e LU N etwork under N oisy O bservations

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.122270Z

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.

Observation 11afa455-74c7-488b-9452-fef7d59044dc · outbound

This paper cites User- F riendly T ail B ounds for S ums of R andom M atrices.

A Classical View on Benign Overfitting: The Role of Sample Size User- F riendly T ail B ounds for S ums of R andom M atrices

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.106290Z

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.

Observation 1d56dff8-069d-4cbb-af68-43897172c9e7 · outbound

This paper cites Empirical P rocesses in M - E stimation , volume 6.

A Classical View on Benign Overfitting: The Role of Sample Size Empirical P rocesses in M - E stimation , volume 6

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.089218Z

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.

Observation b04cfdd8-5a1c-4d8e-8a0f-adb3188ffa9b · outbound

This paper cites On the I mplicit B ias in D eep- L earning A lgorithms.

A Classical View on Benign Overfitting: The Role of Sample Size On the I mplicit B ias in D eep- L earning A lgorithms

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.074071Z

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.

Observation 0d44b8f8-03e6-4b9e-9cbd-3a12917ab7c3 · outbound

This paper cites High- D imensional P robability: A n I ntroduction with A pplications in D ata S cience , volume 47.

A Classical View on Benign Overfitting: The Role of Sample Size High- D imensional P robability: A n I ntroduction with A pplications in D ata S cience , volume 47

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.060183Z

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.

Observation c762c3f1-39fe-4718-933a-d0c252ddfbca · outbound

This paper cites Benign overfitting in adversarial training of neural networks.

A Classical View on Benign Overfitting: The Role of Sample Size Benign overfitting in adversarial training of neural networks

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:40.453507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b7c8f1-9935-4b9b-a199-3a9e2c0472fe · outbound

This paper cites Linear O perators in H ilbert S paces , volume 68.

A Classical View on Benign Overfitting: The Role of Sample Size Linear O perators in H ilbert S paces , volume 68

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.034022Z

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.

Observation 9d061845-6440-43f8-b0ea-ccf71783dc6c · outbound

This paper cites Precise L earning C urves and H igher- O rder S caling L imits for D ot P roduct K ernel R egression.

A Classical View on Benign Overfitting: The Role of Sample Size Precise L earning C urves and H igher- O rder S caling L imits for D ot P roduct K ernel R egression

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.017681Z

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.

Observation 4ef54f09-6523-4612-bf69-888eda171e7a · outbound

This paper cites Rethinking Benign Overfitting in Two-Layer Neural Networks.

A Classical View on Benign Overfitting: The Role of Sample Size Rethinking Benign Overfitting in Two-Layer Neural Networks

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:40.465321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47d698ce-fd2b-4dfa-85cd-267d631ad297 · outbound

This paper cites Benign O verfitting of N on- S mooth N eural N etworks B eyond L azy T raining.

A Classical View on Benign Overfitting: The Role of Sample Size Benign O verfitting of N on- S mooth N eural N etworks B eyond L azy T raining

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:41.000171Z

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.

Observation 9378dbba-0894-4939-a93a-f412d17bb256 · outbound

This paper cites Feature Learning in Infinite-Width Neural Networks.

A Classical View on Benign Overfitting: The Role of Sample Size Feature Learning in Infinite-Width Neural Networks

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:40.474677Z

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Observation adfcd1b6-ca40-4f33-89d3-6d9b27bc2e87 · outbound

This paper cites Sobolev norm inconsistency of kernel interpolation.

A Classical View on Benign Overfitting: The Role of Sample Size Sobolev norm inconsistency of kernel interpolation

Reference 98

Resolution: verified exact; raw_fallback, observed 2026-08-15T21:04:40.682799Z

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Observation 33a3d70a-38d4-4974-99a9-67c9ed166df6 · outbound

This paper cites A Unifying View on Implicit Bias in Training Linear Neural Networks.

A Classical View on Benign Overfitting: The Role of Sample Size A Unifying View on Implicit Bias in Training Linear Neural Networks

Reference 99

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Observation 97d0f726-651d-4074-a785-fd7f49acd501 · outbound

This paper cites A T ype of G eneralization E rror I nduced by I nitialization in D eep N eural N etworks.

A Classical View on Benign Overfitting: The Role of Sample Size A T ype of G eneralization E rror I nduced by I nitialization in D eep N eural N etworks

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:40.984370Z

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