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Paper Citation Record · LEDGER

Dimension-Free Decision Calibration for Nonlinear Loss Functions

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 2 inbound Pith citation observations for arXiv:2504.15615.

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

pith.paper-citation-record.v1
2504.15615 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:24.770590Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:24.659085Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:01:24.581675Z

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation 48198dbb-ec5e-422b-963d-dcd44a99e428 · outbound

This paper cites Mechanisms for a no-regret agent: Beyond the common prior.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Mechanisms for a no-regret agent: Beyond the common prior

Reference 1

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Observation 270f5024-1f2a-4f6d-ba69-1545f346dd0d · outbound

This paper cites Efficient prior-free mechanisms for no-regret agents.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Efficient prior-free mechanisms for no-regret agents

Reference 2

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Observation f3204b1a-6c93-4f4e-9f5f-c4961aba725e · outbound

This paper cites Outcome indistinguishability.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Outcome indistinguishability

Reference 3

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Observation 9eccadec-9c25-4d21-928d-3d242ea7c7e2 · outbound

This paper cites Beyond bernoulli: Generating random outcomes that cannot be distinguished from nature.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Beyond bernoulli: Generating random outcomes that cannot be distinguished from nature

Reference 4

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Observation 3f55c21e-633a-4bbc-a11a-2f5d72c2dab4 · outbound

This paper cites From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs.

Dimension-Free Decision Calibration for Nonlinear Loss Functions From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs

Reference 5

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Observation 6d3d3172-15b2-4d93-9365-0c9526766931 · outbound

This paper cites Full Swap Regret and Discretized Calibration.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Full Swap Regret and Discretized Calibration

Reference 6

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Observation b0e3f77e-8af1-4cab-ae8c-ffeeba9917c6 · outbound

This paper cites Regret in the on-line decision problem.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Regret in the on-line decision problem

Reference 7

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Observation 793c7115-2c02-49e5-b688-f50ddaf13a89 · outbound

This paper cites Oracle efficient online multicalibration and omniprediction.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Oracle efficient online multicalibration and omniprediction

Reference 8

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Observation 755f475e-7707-4b6e-9d2f-f50f27af7948 · outbound

This paper cites Omnipredictors.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Omnipredictors

Reference 9

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Observation ecab21f3-7e3e-4ffa-8fa6-c1d642226974 · outbound

This paper cites Loss Minimization through the Lens of Outcome Indistinguishability.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Loss Minimization through the Lens of Outcome Indistinguishability

Reference 10

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Observation dbe9189a-7a72-47e9-a09e-3f3f944e54fa · outbound

This paper cites Low-degree multicalibration.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Low-degree multicalibration

Reference 11

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1f9fdf3b-2171-4331-8a6e-aa7208b8a2ad · outbound

This paper cites On Computationally Efficient Multi-Class Calibration.

Dimension-Free Decision Calibration for Nonlinear Loss Functions On Computationally Efficient Multi-Class Calibration

Reference 12

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Observation 7127b360-4613-4b61-ae2d-ba5a6787894c · outbound

This paper cites Omnipredictors for regression and the approximate rank of convex functions.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Omnipredictors for regression and the approximate rank of convex functions

Reference 13

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 520f533e-6e6e-4495-a69b-ba14461dd497 · outbound

This paper cites Calibrated stackelberg games: Learning optimal commitments against calibrated agents.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Calibrated stackelberg games: Learning optimal commitments against calibrated agents

Reference 14

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Observation d85fe253-6bf6-42ba-8afd-a133ff747f0c · outbound

This paper cites Calibration Error for Decision Making.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Calibration Error for Decision Making

Reference 15

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Observation eb49f050-411e-4db8-ad01-c4d214269f4b · outbound

This paper cites U-calibration: Forecasting for an unknown agent.

Dimension-Free Decision Calibration for Nonlinear Loss Functions U-calibration: Forecasting for an unknown agent

Reference 16

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Observation 03cccb48-2b0e-4a43-8290-f969cc563ba6 · outbound

This paper cites Sample Efficient Omniprediction and Downstream Swap Regret for Non-Linear Losses.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Sample Efficient Omniprediction and Downstream Swap Regret for Non-Linear Losses

Reference 17

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Observation c5ebb58d-9920-4f38-9802-268d372a7a11 · outbound

This paper cites Optimal Multiclass U-Calibration Error and Beyond.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Optimal Multiclass U-Calibration Error and Beyond

Reference 18

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Observation fd4fb8c0-32a3-49ed-8b5e-5e4cc9d1a054 · outbound

This paper cites Simultaneous swap regret minimization via kl-calibration.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Simultaneous swap regret minimization via kl-calibration

Reference 19

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Observation 3cf8c2c7-991b-4bcd-b062-8a3ea97765a5 · outbound

This paper cites Information theory, inference and learning algorithms.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Information theory, inference and learning algorithms

Reference 20

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Observation 873d5c88-4af6-48a8-b25a-be5438200363 · outbound

This paper cites Quantal choice analysis: A survey.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Quantal choice analysis: A survey

Reference 21

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Observation 0a71b0b8-6f13-4acb-b68c-b2e5181bd11b · outbound

This paper cites Quantal response equilibria for normal form games.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Quantal response equilibria for normal form games

Reference 22

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Observation 6e7d5943-0bbe-4686-b721-ef57bec0a399 · outbound

This paper cites High-Dimensional Prediction for Sequential Decision Making.

Dimension-Free Decision Calibration for Nonlinear Loss Functions High-Dimensional Prediction for Sequential Decision Making

Reference 23

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Observation 315b6e7c-c973-43d8-9a41-b9c7a7efbcfb · outbound

This paper cites Near-optimal algorithms for omniprediction.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Near-optimal algorithms for omniprediction

Reference 24

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Observation 218d875d-16df-4e54-b9de-8261e0c40461 · outbound

This paper cites an unresolved cited work.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Unresolved cited work

Reference 25

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Observation 5e4b55df-a4f7-4077-81bd-32dbf2e48b89 · outbound

This paper cites Stronger calibration lower bounds via sidestepping.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Stronger calibration lower bounds via sidestepping

Reference 26

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Observation 6b3e2636-0e28-4813-9090-d61df2d76435 · outbound

This paper cites Forecasting for swap regret for all downstream agents.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Forecasting for swap regret for all downstream agents

Reference 27

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Observation 4963afef-57a0-4215-871b-8ea98a119655 · outbound

This paper cites Microeconomic analysis, volume 3.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Microeconomic analysis, volume 3

Reference 28

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9f227a24-5f06-4928-8ede-f679aca3a07f · outbound

This paper cites Calibrating predictions to decisions: A novel approach to multi-class calibration.

Dimension-Free Decision Calibration for Nonlinear Loss Functions Calibrating predictions to decisions: A novel approach to multi-class calibration

Reference 29

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source=arxiv_source observed=2026-08-16T11:35:24.770590Z digest=sha256:f61f3fea47d84dce53c084b45ad21ac52949505890cd91ac76381812f147bb03

Pith citing papers

Observation 4a36a6b7-9867-40c1-9f61-0842afc57460 · inbound

Persuasive Prediction via Decision Calibration cites this paper.

Persuasive Prediction via Decision Calibration Dimension-Free Decision Calibration for Nonlinear Loss Functions

Reference 41

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source=arxiv_source observed=2026-08-07T15:12:24.659085Z digest=sha256:7ab8fab23e2a6c7c26eefa425c53b52704c616faaebb04ee673f9ff653504be7

Observation 7352e898-49a6-47f9-8586-d22eb982e6b3 · inbound

Improved Bounds for Swap Multicalibration and Swap Omniprediction cites this paper.

Improved Bounds for Swap Multicalibration and Swap Omniprediction Dimension-Free Decision Calibration for Nonlinear Loss Functions

Reference 48

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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