Paper Citation Record · LEDGER

Optimal Regularization for Performative Learning

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2510.12249.

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

pith.paper-citation-record.v1
2510.12249 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:05:57.917104Z

measured 44 of 44 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:24:43.867063Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T06:53:22.890144Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy0
unresolved42
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47deaa1c-a798-49f5-b49d-9bb0e7670a47 · outbound

This paper cites write newline.

Optimal Regularization for Performative Learning write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:53.001947Z

Source-reported events for the cited work

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Observation eea53553-ddc5-47c0-9799-278b4a6fae90 · outbound

This paper cites Bartlett, Philip M.

Optimal Regularization for Performative Learning Bartlett, Philip M

Reference 2

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Observation 3f63efd2-9098-46e6-84e1-6a096025e4ee · outbound

This paper cites Gaming helps! learning from strategic interactions in natural dynamics.

Optimal Regularization for Performative Learning Gaming helps! learning from strategic interactions in natural dynamics

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:53.172956Z

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Observation 65a61138-67bc-46f2-9854-1e55e2ee0bfc · outbound

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

Optimal Regularization for Performative Learning Reconciling modern machine-learning practice and the classical bias–variance trade-off

Reference 4

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Observation 8d2c4066-b428-46f6-b7ce-6b6714cbbb3a · outbound

This paper cites The role of learning algorithms in collective action.

Optimal Regularization for Performative Learning The role of learning algorithms in collective action

Reference 5

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Observation a9ffd724-299a-43b1-ac82-f91dc75a3a0b · outbound

This paper cites Spurious correlations in high dimensional regression: The roles of regularization, simplicity bias and over-parameterization.

Optimal Regularization for Performative Learning Spurious correlations in high dimensional regression: The roles of regularization, simplicity bias and over-parameterization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:53.503892Z

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Observation e51dd82f-7d0b-4539-bc71-8ed6c5f97113 · outbound

This paper cites Provable benefits of overparameterization in model compression: From double descent to pruning neural networks.

Optimal Regularization for Performative Learning Provable benefits of overparameterization in model compression: From double descent to pruning neural networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:53.623083Z

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Observation 01548eb3-6404-48a1-aaa2-0df8d6fc0727 · outbound

This paper cites Dimension free ridge regression.

Optimal Regularization for Performative Learning Dimension free ridge regression

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:53.701217Z

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Observation 511eab27-ee1c-452a-bd8c-6708556fc988 · outbound

This paper cites Optimal classification under performative distribution shift.

Optimal Regularization for Performative Learning Optimal classification under performative distribution shift

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:53.769343Z

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Observation 7b507753-a49c-42a2-9e2d-8b2487a2601c · outbound

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

Optimal Regularization for Performative Learning A model of double descent for high-dimensional binary linear classification

Reference 10

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Observation 3c995df0-c719-4cbb-9ed6-759e372e769f · outbound

This paper cites Stochastic optimization with decision-dependent distributions.

Optimal Regularization for Performative Learning Stochastic optimization with decision-dependent distributions

Reference 11

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Observation 06f2370a-e52e-4dd8-b243-d50cf27728df · outbound

This paper cites Friedler, Scott Neville, Carlos Scheidegger, and Suresh Venkatasubramanian.

Optimal Regularization for Performative Learning Friedler, Scott Neville, Carlos Scheidegger, and Suresh Venkatasubramanian

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:54.113808Z

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Observation af351922-42b1-4814-a5ca-6c3cd8a40f51 · outbound

This paper cites Analysis of classifiers’ robustness to adversarial perturbations.

Optimal Regularization for Performative Learning Analysis of classifiers’ robustness to adversarial perturbations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:54.203938Z

Source-reported events for the cited work

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Observation b4f6cfe7-b65a-4533-baf4-b45128762285 · outbound

This paper cites The distribution of ridgeless least squares interpolators.

Optimal Regularization for Performative Learning The distribution of ridgeless least squares interpolators

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:54.317031Z

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Observation 198f8899-0255-4e42-9c90-22a33a1eb498 · outbound

This paper cites Performative Prediction: Past and Future.

Optimal Regularization for Performative Learning Performative Prediction: Past and Future

Reference 15

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Observation 8c394049-096f-43da-9207-416c2f14e808 · outbound

This paper cites Surprises in high-dimensional ridgeless least squares interpolation.

Optimal Regularization for Performative Learning Surprises in high-dimensional ridgeless least squares interpolation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:54.512761Z

Source-reported events for the cited work

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Observation eedd76d7-4664-4eef-aecc-985e491298ba · outbound

This paper cites High-dimensional analysis of knowledge distillation: Weak-to-strong generalization and scaling laws.

Optimal Regularization for Performative Learning High-dimensional analysis of knowledge distillation: Weak-to-strong generalization and scaling laws

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:54.698874Z

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Observation 33821fef-63b7-48a8-ba9f-96694790c338 · outbound

This paper cites How to learn when data gradually reacts to your model.

Optimal Regularization for Performative Learning How to learn when data gradually reacts to your model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:54.868178Z

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Observation c415439f-0986-479c-90a7-67ec4144256d · outbound

This paper cites Scaling laws for learning with real and surrogate data.

Optimal Regularization for Performative Learning Scaling laws for learning with real and surrogate data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:54.966015Z

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Observation 2bead2c7-0a04-4003-90b6-8f9006b01ffa · outbound

This paper cites Towards a statistical theory of data selection under weak supervision.

Optimal Regularization for Performative Learning Towards a statistical theory of data selection under weak supervision

Reference 20

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Observation ac2d0dba-0332-44c9-83eb-199f8ecae169 · outbound

This paper cites Multi-agent performative prediction with greedy deployment and consensus seeking agents.

Optimal Regularization for Performative Learning Multi-agent performative prediction with greedy deployment and consensus seeking agents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:55.239364Z

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Observation b33d2a84-5383-4333-8659-dbd60c362a4e · outbound

This paper cites Minimum-norm interpolation under covariate shift.

Optimal Regularization for Performative Learning Minimum-norm interpolation under covariate shift

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:55.371552Z

Source-reported events for the cited work

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Observation 9d5345ed-ca82-431b-b022-9c3b45e40ec4 · outbound

This paper cites Perdomo, and Tijana Zrnic.

Optimal Regularization for Performative Learning Perdomo, and Tijana Zrnic

Reference 23

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Source-reported events for the cited work

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Observation ecccf025-b60d-4087-8770-8db521106034 · outbound

This paper cites The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime.

Optimal Regularization for Performative Learning The generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime

Reference 24

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Observation 9b7d888e-e64f-4934-a386-f7afcf7a5988 · outbound

This paper cites Wirtschaftsprognose: Eine Untersuchung ihrer Voraussetzungen und Möglichkeiten.

Optimal Regularization for Performative Learning Wirtschaftsprognose: Eine Untersuchung ihrer Voraussetzungen und Möglichkeiten

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:55.831997Z

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Observation 8c4f878b-fba5-44a8-a461-e18f8bed885d · outbound

This paper cites an unresolved cited work.

Optimal Regularization for Performative Learning Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:56.002505Z

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Observation b6b5998a-fdf1-4732-8cc4-69b24e15041d · outbound

This paper cites Feedback loops with language models drive in-context reward hacking.

Optimal Regularization for Performative Learning Feedback loops with language models drive in-context reward hacking

Reference 27

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Observation 66d632c7-fedd-4443-99ec-82acfc83d25f · outbound

This paper cites Optimal ridge regularization for out-of-distribution prediction.

Optimal Regularization for Performative Learning Optimal ridge regularization for out-of-distribution prediction

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:56.289720Z

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Observation 70422f56-9684-4299-9c46-b1cf1c3210f6 · outbound

This paper cites Performative prediction.

Optimal Regularization for Performative Learning Performative prediction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:56.371878Z

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Observation 15ed5279-9cd5-4de7-97f3-b4a418056c8d · outbound

This paper cites Ribeiro, Dave Zachariah, Francis Bach, and Thomas B.

Optimal Regularization for Performative Learning Ribeiro, Dave Zachariah, Francis Bach, and Thomas B

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:56.471043Z

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Observation e7a76ed3-683e-46bc-83bf-3dfbd326b76d · outbound

This paper cites Asymptotics of ridge (less) regression under general source condition.

Optimal Regularization for Performative Learning Asymptotics of ridge (less) regression under general source condition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:56.608805Z

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Observation 4bf10035-161d-451f-8dd3-5a40a29ee1b0 · outbound

This paper cites Generalization error of min-norm interpolators in transfer learning.

Optimal Regularization for Performative Learning Generalization error of min-norm interpolators in transfer learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:56.777827Z

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Observation 29e405f4-3468-4e80-bf3e-360d8a2b4764 · outbound

This paper cites Data feedback loops: Model-driven amplification of dataset biases.

Optimal Regularization for Performative Learning Data feedback loops: Model-driven amplification of dataset biases

Reference 33

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Observation 71799254-9671-4e47-895d-3bc9ab99c3ac · outbound

This paper cites Benign overfitting in ridge regression.

Optimal Regularization for Performative Learning Benign overfitting in ridge regression

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:56.948509Z

Source-reported events for the cited work

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Observation 68222cd7-1e1b-42ba-b095-e4715115acdd · outbound

This paper cites The power of rankings: Quantifying the effects of rankings on online consumer search and choice.

Optimal Regularization for Performative Learning The power of rankings: Quantifying the effects of rankings on online consumer search and choice

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:57.099441Z

Source-reported events for the cited work

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Observation 40aac4d4-6043-44a8-b2ff-f7bdef0934ae · outbound

This paper cites Network effects in performative prediction games.

Optimal Regularization for Performative Learning Network effects in performative prediction games

Reference 36

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Source-reported events for the cited work

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Observation 5da711b6-a2d1-45af-a13f-078ba3441fa2 · outbound

This paper cites On the optimal weighted _2 regularization in overparameterized linear regression.

Optimal Regularization for Performative Learning On the optimal weighted _2 regularization in overparameterized linear regression

Reference 37

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Observation 139604a1-759f-4041-9baf-e892fb8726dd · outbound

This paper cites Precise high-dimensional asymptotics for quantifying heterogeneous transfers.

Optimal Regularization for Performative Learning Precise high-dimensional asymptotics for quantifying heterogeneous transfers

Reference 38

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Observation 15cc1956-267a-407b-8e18-3509b0fc6259 · outbound

This paper cites Performativity and Prospective Fairness.

Optimal Regularization for Performative Learning Performativity and Prospective Fairness

Reference 39

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Observation 092c2938-b9dd-487f-ac68-68664ed68c1d · outbound

This paper cites @esa (Ref.

Optimal Regularization for Performative Learning @esa (Ref

Reference 40

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Observation 0b7f45c3-682d-4e32-8b3b-25bcfcd2636f · outbound

This paper cites an unresolved cited work.

Optimal Regularization for Performative Learning Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:57.815095Z

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Observation 0a87b353-7600-49d7-af21-df38967ce1ee · outbound

This paper cites an unresolved cited work.

Optimal Regularization for Performative Learning Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:57.917104Z

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Pith citing papers

Observation 805f5a3f-2faa-4bb1-b792-2cd200b6b4b4 · inbound

Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing cites this paper.

Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing Optimal Regularization for Performative Learning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-02T02:03:33.830699Z

Source-reported events for the cited work

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Observation 55faa137-f003-4da0-9c2b-1d7e1d7365b0 · inbound

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics cites this paper.

Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics Optimal Regularization for Performative Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T04:24:43.867063Z

Source-reported events for the cited work

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