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Paper Citation Record · LEDGER

Near-optimal Delta-convex Estimation of Lipschitz Functions

As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2511.15615.

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pith.paper-citation-record.v1
2511.15615 v2

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measured 50 of 50 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T21:31:29.235668Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation ad33303f-fc37-4400-88c5-714a89979d6c · outbound

This paper cites A Parallelizable Dual Smoothing Method for Large Scale Convex Regression Problems.

Near-optimal Delta-convex Estimation of Lipschitz Functions A Parallelizable Dual Smoothing Method for Large Scale Convex Regression Problems

Reference 1

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source=arxiv_source observed=2026-08-03T21:31:24.051678Z digest=sha256:34929bcae3eb8d7e543c838b7775fda98d64cdb4befa7c1c0201d50c49e7f3f5

Observation 935682b2-7f23-4877-8a97-eedf68236c86 · outbound

This paper cites An algorithm for the estimation of a regression function by continuous piecewise linear functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions An algorithm for the estimation of a regression function by continuous piecewise linear functions

Reference 2

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source=arxiv_source observed=2026-08-03T21:31:24.111407Z digest=sha256:398aff7d7f8f3b81e54cd57274f0d2087a96165745bc6326a1c240588751c0e0

Observation 1f965fda-364a-4f2a-bd8f-5abd53e1e85f · outbound

This paper cites Bagirov, Sona Taheri, Napsu Karmitsa, Nargiz Sultanova, and Soodabeh Asadi.

Near-optimal Delta-convex Estimation of Lipschitz Functions Bagirov, Sona Taheri, Napsu Karmitsa, Nargiz Sultanova, and Soodabeh Asadi

Reference 3

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source=arxiv_source observed=2026-08-03T21:31:24.182542Z digest=sha256:180fb413acc6ace247e56d1763a96676a5afbef8409f6ed6a9ce746c42727c12

Observation 10249a2a-bf61-48d7-b1d4-ad2b69649fec · outbound

This paper cites Convex Regression: Theory, Practice, and Applications.

Near-optimal Delta-convex Estimation of Lipschitz Functions Convex Regression: Theory, Practice, and Applications

Reference 4

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source=arxiv_source observed=2026-08-03T21:31:24.333924Z digest=sha256:c3014954aef71bc849cb48c075686e24aa7b3d2c9faf139b92140a9daf4bfd7f

Observation fad072ea-5458-440a-ad4a-95c784a96a0b · outbound

This paper cites Adaptively partitioning max-affine estimators for convex regression.

Near-optimal Delta-convex Estimation of Lipschitz Functions Adaptively partitioning max-affine estimators for convex regression

Reference 5

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source=arxiv_source observed=2026-08-03T21:31:24.416010Z digest=sha256:9a89aeaea856f3c2a4a38ea5e80f14b41654c181e4294ed686f5b13128ea048f

Observation cec60748-99a7-4c2c-a6d2-0740e1c857f1 · outbound

This paper cites Near-optimal max-affine estimators for convex regression.

Near-optimal Delta-convex Estimation of Lipschitz Functions Near-optimal max-affine estimators for convex regression

Reference 6

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source=arxiv_source observed=2026-08-03T21:31:24.553347Z digest=sha256:f50497e946c6781359692455c96b48093be07d6dbf5a1397d6148a2571ed6925

Observation 7a9b183e-a766-4f06-9219-5c5a078dbe47 · outbound

This paper cites Chaining Bounds for Empirical Risk Minimization.

Near-optimal Delta-convex Estimation of Lipschitz Functions Chaining Bounds for Empirical Risk Minimization

Reference 7

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source=arxiv_source observed=2026-08-03T21:31:24.705696Z digest=sha256:821b745a33f7d333d069631ab60467478cc8a531cf9c5c52970fd74fc712ac01

Observation 0135e00c-614c-4f20-aa05-990e73d62b31 · outbound

This paper cites Bartlett and Shahar Mendelson.

Near-optimal Delta-convex Estimation of Lipschitz Functions Bartlett and Shahar Mendelson

Reference 8

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source=arxiv_source observed=2026-08-03T21:31:24.883663Z digest=sha256:d602ff80e90903d1d9bd17f6ad711f3944988b5f7706201e7de738f9cffbd2e9

Observation d317bcc2-fb11-4c11-841a-726d4ea82039 · outbound

This paper cites Bartlett, St\'ephane Boucheron, and G\'abor Lugosi.

Near-optimal Delta-convex Estimation of Lipschitz Functions Bartlett, St\'ephane Boucheron, and G\'abor Lugosi

Reference 9

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source=arxiv_source observed=2026-08-03T21:31:25.016852Z digest=sha256:a6b9dfac87e329031b185c8de9f038c3cc507515df996d543fee1382b6d74943

Observation 78c0a008-63a2-45bd-b150-cb48b5370dcf · outbound

This paper cites Multivariate distributionally robust convex regression under absolute error loss.

Near-optimal Delta-convex Estimation of Lipschitz Functions Multivariate distributionally robust convex regression under absolute error loss

Reference 10

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source=arxiv_source observed=2026-08-03T21:31:25.138527Z digest=sha256:ecf5ca339a19dbad79989bf0bbf01ec3b084d2082e8e05f242aac4fcd6e9853c

Observation 13ec2ce6-277c-4c39-b418-485adcc3f3f6 · outbound

This paper cites Concentration Inequalities: A nonasymptotic theory of independence.

Near-optimal Delta-convex Estimation of Lipschitz Functions Concentration Inequalities: A nonasymptotic theory of independence

Reference 11

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source=arxiv_source observed=2026-08-03T21:31:25.208983Z digest=sha256:9dbf1d88a03439819d4e79d5b186bf49e8df6e8f0c0b41318f720371a63b86c2

Observation 46b9e91a-7c75-4010-a2da-d5c23a846cd6 · outbound

This paper cites Convex Optimization.

Near-optimal Delta-convex Estimation of Lipschitz Functions Convex Optimization

Reference 12

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source=arxiv_source observed=2026-08-03T21:31:25.309225Z digest=sha256:8c277a1dbffc3145b5186dcd39ee9ee3cfb5473aa23bc172bfa45f43b4338b1d

Observation 10b7e7a8-6471-4abd-97e4-c5123b7ee5fe · outbound

This paper cites Random forests.

Near-optimal Delta-convex Estimation of Lipschitz Functions Random forests

Reference 13

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source=arxiv_source observed=2026-08-03T21:31:25.358785Z digest=sha256:79111c2c8511a001b5cd1acb9c3c006dece9f826e2ddb27b10b647fce5f2e4fc

Observation 069116d2-70a7-4b0c-9778-b164ca6d6afc · outbound

This paper cites XGB oost: A S calable T ree B oosting S ystem.

Near-optimal Delta-convex Estimation of Lipschitz Functions XGB oost: A S calable T ree B oosting S ystem

Reference 14

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Observation 71b6ec71-b921-4d60-ac31-525f7a8d2d3c · outbound

This paper cites Subgradient regularized multivariate convex regression at scale.

Near-optimal Delta-convex Estimation of Lipschitz Functions Subgradient regularized multivariate convex regression at scale

Reference 15

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source=arxiv_source observed=2026-08-03T21:31:25.611527Z digest=sha256:a1abfc8598169fbabb77bca9d19ae78c822a38832ce52afac0ef50aea3764a82

Observation b6831830-eb53-4bc8-9af5-88867970460f · outbound

This paper cites Random projection trees and low dimensional manifolds.

Near-optimal Delta-convex Estimation of Lipschitz Functions Random projection trees and low dimensional manifolds

Reference 16

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source=arxiv_source observed=2026-08-03T21:31:25.704143Z digest=sha256:39349d20658f84630b25f89e042db2121dfd9a592feef6fa84e1eb44c17b8e7d

Observation ba4f29f7-a568-4b4f-92aa-425a0d58ca6d · outbound

This paper cites DeVore, Ralph Howard, and Charles Micchelli.

Near-optimal Delta-convex Estimation of Lipschitz Functions DeVore, Ralph Howard, and Charles Micchelli

Reference 17

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source=arxiv_source observed=2026-08-03T21:31:25.779406Z digest=sha256:5f10dd8bd887f653347249e034686139caee95fa281d1a1a336990bf220578de

Observation 148ba06d-2e06-4547-9af5-103200f5655b · outbound

This paper cites Gonzalez.

Near-optimal Delta-convex Estimation of Lipschitz Functions Gonzalez

Reference 18

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source=arxiv_source observed=2026-08-03T21:31:25.926626Z digest=sha256:9181f70e51ab0fd148c557bae80699630dbde2eef6b204378815d34e32e54a3c

Observation ee2cdacf-56bf-4879-bb92-aa7b94d40ab8 · outbound

This paper cites M axout N etworks.

Near-optimal Delta-convex Estimation of Lipschitz Functions M axout N etworks

Reference 19

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Observation 9b7a37bf-8754-46ee-8807-344c5cc4e87f · outbound

This paper cites Clarabel: An interior-point solver for conic programs with quadratic objectives.

Near-optimal Delta-convex Estimation of Lipschitz Functions Clarabel: An interior-point solver for conic programs with quadratic objectives

Reference 20

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source=arxiv_source observed=2026-08-03T21:31:26.184925Z digest=sha256:5ff623977dff899bf1b96e00cec55bace260f31aeffe3c780f70cc2ebc580063

Observation fe2bde5b-9f51-4dfd-bb0a-683743d1866f · outbound

This paper cites Gupta, R.

Near-optimal Delta-convex Estimation of Lipschitz Functions Gupta, R

Reference 21

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source=arxiv_source observed=2026-08-03T21:31:26.307889Z digest=sha256:c61ea6054b055be21314b43f54586c0001feeec8296e76d7a98b9edd45678452

Observation d67d3d34-f73b-479b-a65c-33c28406b4e6 · outbound

This paper cites A distribution-free theory of nonparametric regression.

Near-optimal Delta-convex Estimation of Lipschitz Functions A distribution-free theory of nonparametric regression

Reference 22

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Observation 15e141bc-a556-43df-aa59-24b197fbbc9b · outbound

This paper cites Multivariate convex regression: global risk bounds and adaptation.

Near-optimal Delta-convex Estimation of Lipschitz Functions Multivariate convex regression: global risk bounds and adaptation

Reference 23

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source=arxiv_source observed=2026-08-03T21:31:26.546018Z digest=sha256:269fba425022717e6b82d9b0d3c7a0173a2d30583a486cf6582f7cff13e6c953

Observation 10e279df-a173-4e46-b51b-527dcb76390c · outbound

This paper cites On functions representable as a difference of convex functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions On functions representable as a difference of convex functions

Reference 24

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source=arxiv_source observed=2026-08-03T21:31:26.695923Z digest=sha256:dc12b1eb92691b3d15603bbdc7841cd306a0c4b6d62608c6879a16cc2030190d

Observation 883d75a5-90e7-480e-a565-c6ddd6c91fc8 · outbound

This paper cites Extension of L ipschitz functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Extension of L ipschitz functions

Reference 25

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source=arxiv_source observed=2026-08-03T21:31:26.787834Z digest=sha256:bd952fe20dd88b62d1347f0fc4a1d82348ceca5adcca7ffb9cb213186e5c03b6

Observation 5cfcf430-9fdf-413e-861a-48f54f75e053 · outbound

This paper cites Generalized differentiability, duality and optimization for problems dealing with differences of convex functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Generalized differentiability, duality and optimization for problems dealing with differences of convex functions

Reference 26

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source=arxiv_source observed=2026-08-03T21:31:26.927528Z digest=sha256:891256f0a494f8ab3700039e9c705bced40d956583926f436e9d8ed251e7c473

Observation b16a2936-6ac9-415d-8b62-3bd506c9fb76 · outbound

This paper cites Hochbaum and David B.

Near-optimal Delta-convex Estimation of Lipschitz Functions Hochbaum and David B

Reference 27

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source=arxiv_source observed=2026-08-03T21:31:27.038363Z digest=sha256:c874ed3458ac216061ae04668431a0dfb2088313a8f60b26a3dbb4157af24369

Observation ceffd3e6-549b-4b2b-9ba0-19f3c3547086 · outbound

This paper cites The curse of dimension in nonparametric regression.

Near-optimal Delta-convex Estimation of Lipschitz Functions The curse of dimension in nonparametric regression

Reference 28

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source=arxiv_source observed=2026-08-03T21:31:27.131094Z digest=sha256:4cedde603134ae7bd203b39e04b4578f2d8c51fb32c4d3ca5e3406d6ddc4b3d2

Observation b39be321-994c-4e08-9ac4-8ac06cb93bfe · outbound

This paper cites A tree-based regressor that adapts to intrinsic dimension.

Near-optimal Delta-convex Estimation of Lipschitz Functions A tree-based regressor that adapts to intrinsic dimension

Reference 29

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source=arxiv_source observed=2026-08-03T21:31:27.272394Z digest=sha256:d511fdd954437ae0c36086db8c3ef00ba5cd0364b05ad52b393b1dfb5164bafd

Observation 5aa742ed-ecda-45a9-80cd-bb2f78886228 · outbound

This paper cites Kulkarni and S.E.

Near-optimal Delta-convex Estimation of Lipschitz Functions Kulkarni and S.E

Reference 30

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source=arxiv_source observed=2026-08-03T21:31:27.398875Z digest=sha256:36e7189f90e4c7f7e78bcdcd90c739d10149e1b637cdaf58c6ce7a8b2969abca

Observation b8109e02-65b9-41eb-add9-c1ffb7874abf · outbound

This paper cites Convex regression in multidimensions: Suboptimality of least squares estimators.

Near-optimal Delta-convex Estimation of Lipschitz Functions Convex regression in multidimensions: Suboptimality of least squares estimators

Reference 31

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source=arxiv_source observed=2026-08-03T21:31:27.516197Z digest=sha256:4c752c83d7915cf284129301b6a8d33a4b1cfd0568dfb0cfaf69e3a137e3f216

Observation 2eefda37-81fa-4c03-b7b9-b902a7625675 · outbound

This paper cites On convergence rates of convex regression in multiple dimensions.

Near-optimal Delta-convex Estimation of Lipschitz Functions On convergence rates of convex regression in multiple dimensions

Reference 32

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source=arxiv_source observed=2026-08-03T21:31:27.636673Z digest=sha256:a079d7ccf4e6d3e3b97e6975dc4ea803b0cd10e36d8f92714e272757896ec31a

Observation 975728db-07c5-401f-ab91-828bd3fd91e4 · outbound

This paper cites Convex regression with a penalty.

Near-optimal Delta-convex Estimation of Lipschitz Functions Convex regression with a penalty

Reference 33

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source=arxiv_source observed=2026-08-03T21:31:27.741690Z digest=sha256:cc0ced705319d1d867488c7dd8c4ac88a73c9710f3a7436efafead6e7771437f

Observation c674bb46-382d-4b49-83f0-3b509586591e · outbound

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Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-03T21:31:27.888746Z digest=sha256:b9a3506586ecf421f7e2b6cc4d43e2e09c012b70d2ad10f2697a21f7ab8eed90

Observation a9802f3d-cb58-4807-b3ff-e777772bee7f · outbound

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Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

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source=arxiv_source observed=2026-08-03T21:31:28.034135Z digest=sha256:a0d558ec4b870c6a4971b4332e5c0ea7c40bb4eafbc6ce65688e2d7be7c3e4df

Observation c0521fb2-9029-48f6-9d0e-38b264398068 · outbound

This paper cites Nesterov.

Near-optimal Delta-convex Estimation of Lipschitz Functions Nesterov

Reference 36

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source=arxiv_source observed=2026-08-03T21:31:28.109265Z digest=sha256:7ffaa0b53f116878d40b15eb0e7f3ea77009b12f792d4d90650e3da55835a5e9

Observation 65225a6d-c0a9-4947-a212-8a939097a7ec · outbound

This paper cites Interior-Point Polynomial Algorithms in Convex Programming.

Near-optimal Delta-convex Estimation of Lipschitz Functions Interior-Point Polynomial Algorithms in Convex Programming

Reference 37

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source=arxiv_source observed=2026-08-03T21:31:28.222206Z digest=sha256:1c962a6906ed5ee11163877fc84ea5cc84c2f57dbaab7c99418399842e69df53

Observation f298a91b-32ae-4358-8b37-875302de8d6e · outbound

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Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-03T21:31:28.329012Z digest=sha256:e2df26bf85994fe022e6fe7f0ba71ffbc22a7b2ff060119cb716b5eefe4f4436

Observation 73442c84-f9ea-40c4-b206-a91c91a8c1b4 · outbound

This paper cites Max-min representation of piecewise linear functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Max-min representation of piecewise linear functions

Reference 39

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source=arxiv_source observed=2026-08-03T21:31:28.446312Z digest=sha256:b1766a90340dc1e1724084340d792da37eab7e646cef54272452e2a5480c8f27

Observation 3e0059c6-c503-4701-b66f-488471e06d19 · outbound

This paper cites Scikit-learn: Machine learning in python.

Near-optimal Delta-convex Estimation of Lipschitz Functions Scikit-learn: Machine learning in python

Reference 40

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source=arxiv_source observed=2026-08-03T21:31:28.518434Z digest=sha256:509596c59c7309a3f58fdc3e4b4b0e2c4860d495a0bd8bcfc4729ff113b52326

Observation 79763818-f360-4641-b7a8-4e1eefa2b9c8 · outbound

This paper cites Torrecilla, Miguel Carbajo Berrocal, Pablo Marcos Manchón, and Alberto Suárez.

Near-optimal Delta-convex Estimation of Lipschitz Functions Torrecilla, Miguel Carbajo Berrocal, Pablo Marcos Manchón, and Alberto Suárez

Reference 41

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source=arxiv_source observed=2026-08-03T21:31:28.601469Z digest=sha256:69ff0cee037ac5f1a4d3b071283ba1fb7a7159c009669c505874995190652e77

Observation 7ce2523a-e685-417a-90e6-339dbb90b902 · outbound

This paper cites Piecewise linear regression via a difference of convex functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Piecewise linear regression via a difference of convex functions

Reference 42

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source=arxiv_source observed=2026-08-03T21:31:28.646028Z digest=sha256:b58d72ae9a62586b9891ef98fc6c4afb7d66e5785aafa319b038b9fee8929933

Observation a61d01bc-cb19-434c-b6cd-73e496d557af · outbound

This paper cites an unresolved cited work.

Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-03T21:31:28.703541Z digest=sha256:d6445f01f59e72eab9bbd2b081bb76997b0242625eb1c5b0ab274cbae568c403

Observation cab163bb-414d-451c-acbd-79d7114eb3dd · outbound

This paper cites Least squares estimation of weakly convex functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Least squares estimation of weakly convex functions

Reference 44

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source=arxiv_source observed=2026-08-03T21:31:28.841563Z digest=sha256:cdfbaf38646481850ae098f19365f4cab69803705396510f51a53bfc258ae0b4

Observation 19eb3c66-555e-47fd-b3d0-a4ec4a6928c7 · outbound

This paper cites Fitting piecewise linear continuous functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Fitting piecewise linear continuous functions

Reference 45

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source=arxiv_source observed=2026-08-03T21:31:28.903092Z digest=sha256:c3a1e3c5e9c55e9c8a06eab22cecc706b9ec1c48083d02630afdde783e6d8b2d

Observation 485d21f0-bd19-483f-b3c4-33332f42b7bc · outbound

This paper cites Empirical Processes in M-Estimation.

Near-optimal Delta-convex Estimation of Lipschitz Functions Empirical Processes in M-Estimation

Reference 46

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source=arxiv_source observed=2026-08-03T21:31:28.938335Z digest=sha256:3221936f5ce6b64283df66c4d2bb5cc911ed5cfcaa20beeb5fbbcd2027397d77

Observation 5f92062a-e4fc-4615-81a3-d92b79e19f5f · outbound

This paper cites Strong and weak convexity of sets and functions.

Near-optimal Delta-convex Estimation of Lipschitz Functions Strong and weak convexity of sets and functions

Reference 47

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source=arxiv_source observed=2026-08-03T21:31:29.006069Z digest=sha256:6ea47d3fe957af9fe019be0903ab786914d33de9d90b276ffbc91607a899a8a2

Observation ce068c8e-8cac-4dee-92fc-259181c793ea · outbound

This paper cites Wainwright.

Near-optimal Delta-convex Estimation of Lipschitz Functions Wainwright

Reference 48

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source=arxiv_source observed=2026-08-03T21:31:29.091626Z digest=sha256:02baf394b5348435196219bb5011791f56fa0134d561d07dfb321ca03b490be0

Observation d1304d5a-202a-4371-9ecc-4c9bd1a0dd61 · outbound

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Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-03T21:31:29.171681Z digest=sha256:24b832cfd2791cc41390307b58778f7f2adb493a4b7abd8700d15af50f722bae

Observation 19217b3a-f587-42f7-8e7a-4f7e2fecee67 · outbound

This paper cites an unresolved cited work.

Near-optimal Delta-convex Estimation of Lipschitz Functions Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-08-03T21:31:29.235668Z digest=sha256:96d994b86f3dd1f2153a7e45921ec0806a246368e1e72132632355a43ff5944d

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