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Paper Citation Record · LEDGER

Persuasive Prediction via Decision Calibration

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.16141.

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

pith.paper-citation-record.v1
2505.16141 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:24.739888Z

measured 42 of 42 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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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  • verified fuzzy21
  • unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b931feda-11de-40ed-b710-21fe1fa804b5 · outbound

This paper cites Robust virtual implementation: Toward a reinterpretation of the wilson doctrine.

Persuasive Prediction via Decision Calibration Robust virtual implementation: Toward a reinterpretation of the wilson doctrine

Reference 1

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Observation cf96f8cb-5e54-482a-8c77-a1dbe059ae1d · outbound

This paper cites Reducing mechanism design to algorithm design via machine learning.

Persuasive Prediction via Decision Calibration Reducing mechanism design to algorithm design via machine learning

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 173924d1-9e48-40ad-bdb2-f0ce84bbc651 · outbound

This paper cites Commitment without regrets: Online learning in stackelberg security games.

Persuasive Prediction via Decision Calibration Commitment without regrets: Online learning in stackelberg security games

Reference 3

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Observation 6941ecdc-7146-46a8-94f2-0bea1cbc6c1b · outbound

This paper cites Information design: A unified perspective.

Persuasive Prediction via Decision Calibration Information design: A unified perspective

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 16f00eba-6b95-4b6a-ad33-220d0a9a5707 · outbound

This paper cites Convex optimization.

Persuasive Prediction via Decision Calibration Convex optimization

Reference 5

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Source-reported events for the cited work

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Observation abd96764-1f75-4be9-9e0a-c205e3dda541 · outbound

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

Persuasive Prediction via Decision Calibration Mechanisms for a no-regret agent: Beyond the common prior

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a8072ebd-9427-4209-8c96-7a49c0b86197 · outbound

This paper cites The sample complexity of revenue maximization.

Persuasive Prediction via Decision Calibration The sample complexity of revenue maximization

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T15:12:21.196857Z digest=sha256:62809e80d96678f4142f960fd8d1abb99841b4fc72af6fbad1232ee11b5ed2ca

Observation a9838c4f-ad7d-4f7e-8c20-6c6d1984e41e · outbound

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

Persuasive Prediction via Decision Calibration Efficient prior-free mechanisms for no-regret agents

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:12:21.276064Z digest=sha256:a746a215242f7370a9281404d83f5d011dea8ba5ec1507c38ef913eb746dda4c

Observation 2ce21056-96f7-48df-9d3f-0c8b6b9d0919 · outbound

This paper cites Algorithmic price discrimination.

Persuasive Prediction via Decision Calibration Algorithmic price discrimination

Reference 9

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:12:21.330081Z digest=sha256:dae7356b899e7604e19f1bb3e5d4e880d60a65b0d7eed10ab1c4161ab689053a

Observation db2e1e69-d32e-4fae-bb5e-2d424577d819 · outbound

This paper cites Learning in auctions: Regret is hard, envy is easy.

Persuasive Prediction via Decision Calibration Learning in auctions: Regret is hard, envy is easy

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0b6547ca-99b7-4915-9859-99f54eea485c · outbound

This paper cites Oracle-efficient online learning and auction design.

Persuasive Prediction via Decision Calibration Oracle-efficient online learning and auction design

Reference 11

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Observation 5236c69f-f5fa-4290-9151-31e3d077aa53 · outbound

This paper cites Preparing for the worst but hoping for the best: Robust (bayesian) persuasion.

Persuasive Prediction via Decision Calibration Preparing for the worst but hoping for the best: Robust (bayesian) persuasion

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 004d948a-a20f-42da-8a34-e17ce729e5c7 · outbound

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

Persuasive Prediction via Decision Calibration From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs

Reference 13

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:12:21.685183Z digest=sha256:f224651c90aba3d9ac77d9623aed73e5f32356032c376e8d49039a1fd215d04e

Observation 9960c894-1a1b-4c97-a8ba-8c3a55b258f0 · outbound

This paper cites Persuasive Calibration.

Persuasive Prediction via Decision Calibration Persuasive Calibration

Reference 14

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 19f655a7-084a-4cd4-9ea7-b6d405b95c94 · outbound

This paper cites Full Swap Regret and Discretized Calibration.

Persuasive Prediction via Decision Calibration Full Swap Regret and Discretized Calibration

Reference 15

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Observation 8871a830-9841-40b7-824e-9b2239973122 · outbound

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

Persuasive Prediction via Decision Calibration Regret in the on-line decision problem

Reference 16

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 63fe7f61-a382-428f-9a61-2b436c6ff76e · outbound

This paper cites Game theory, on-line prediction and boosting.

Persuasive Prediction via Decision Calibration Game theory, on-line prediction and boosting

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8a5a4ceb-d151-4dac-8a46-febfaa0ff9bb · outbound

This paper cites A decision-theoretic generalization of on-line learning and an application to boosting.

Persuasive Prediction via Decision Calibration A decision-theoretic generalization of on-line learning and an application to boosting

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6468135e-88e6-405d-be2f-c3c799984ffa · outbound

This paper cites Learning utilities and equilibria in non-truthful auctions.

Persuasive Prediction via Decision Calibration Learning utilities and equilibria in non-truthful auctions

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 11929e55-daa8-4e1c-aeb9-af5ff7370946 · outbound

This paper cites Oracle efficient online multicalibration and omniprediction.

Persuasive Prediction via Decision Calibration Oracle efficient online multicalibration and omniprediction

Reference 20

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Observation 8420301b-0414-450c-9896-a8087f67706f · outbound

This paper cites Omnipredictors.

Persuasive Prediction via Decision Calibration Omnipredictors

Reference 21

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Observation 87477184-e0e0-4ec9-8e70-f89492c63089 · outbound

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

Persuasive Prediction via Decision Calibration Loss Minimization through the Lens of Outcome Indistinguishability

Reference 22

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Observation 9755d9c8-b428-4db1-aee2-54cafeea9dce · outbound

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

Persuasive Prediction via Decision Calibration Omnipredictors for regression and the approximate rank of convex functions

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a5ce9947-f3be-4fef-bb7f-ab80cf1b33e8 · outbound

This paper cites Calibration Error for Decision Making.

Persuasive Prediction via Decision Calibration Calibration Error for Decision Making

Reference 24

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Observation 8a4546ab-888f-4407-9378-571d03f8f326 · outbound

This paper cites Incentivizing exploration with selective data disclosure.

Persuasive Prediction via Decision Calibration Incentivizing exploration with selective data disclosure

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cfd7a73a-2a32-4fa5-8d35-2e32cf797fba · outbound

This paper cites Calibrated Forecasting and Persuasion.

Persuasive Prediction via Decision Calibration Calibrated Forecasting and Persuasion

Reference 26

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Observation d2d2b949-c14b-4a49-9812-00913db318aa · outbound

This paper cites Bayesian persuasion.

Persuasive Prediction via Decision Calibration Bayesian persuasion

Reference 27

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Observation 2451d072-312f-4480-be4f-25c89191a5c0 · outbound

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

Persuasive Prediction via Decision Calibration U-calibration: Forecasting for an unknown agent

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f75b9f97-f2d6-4696-b10a-11d864be3fbd · outbound

This paper cites Persuasion with unknown beliefs.

Persuasive Prediction via Decision Calibration Persuasion with unknown beliefs

Reference 29

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raw_fallback, observed 2026-08-07T15:12:27.523881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 862fd83f-8ab7-415e-b133-20d0f94fc4fb · outbound

This paper cites Information design with unknown prior.

Persuasive Prediction via Decision Calibration Information design with unknown prior

Reference 30

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no resolver link, observed 2026-08-07T15:12:23.493426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:12:23.493426Z digest=sha256:acdacdc4e72f3e95ea39d993e065ba3a138c35331e05bf585c4530c72f2b00c6

Observation 1184158c-1cb1-4724-81cf-40835df9a658 · outbound

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

Persuasive Prediction via Decision Calibration Sample Efficient Omniprediction and Downstream Swap Regret for Non-Linear Losses

Reference 31

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no resolver link, observed 2026-08-07T15:12:23.597875Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:12:23.597875Z digest=sha256:dc6d28ca167e93bb9234a60733623324d550919d5755977ec788e77699922856

Observation d3c8b6a5-d72f-4857-b880-0f0b07b6a713 · outbound

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

Persuasive Prediction via Decision Calibration Simultaneous swap regret minimization via kl-calibration

Reference 32

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Unavailable: canonical work link unavailable.

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Observation 7f04465d-46c1-4dbf-b005-357b4d2a9f91 · outbound

This paper cites Quantal choice analysis: A survey.

Persuasive Prediction via Decision Calibration Quantal choice analysis: A survey

Reference 33

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raw_fallback, observed 2026-08-07T15:12:27.297828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c73d8e67-00e6-4ce2-9b2d-d5d4599936d7 · outbound

This paper cites Quantal response equilibria for normal form games.

Persuasive Prediction via Decision Calibration Quantal response equilibria for normal form games

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:12:23.923552Z digest=sha256:455182b6bbe1d1858ad9bb324ae160122c6af78460c3119498994b343dceabe8

Observation a03ffd10-401c-461f-8cf2-b69b361567ab · outbound

This paper cites On the pseudo-dimension of nearly optimal auctions.

Persuasive Prediction via Decision Calibration On the pseudo-dimension of nearly optimal auctions

Reference 35

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raw_fallback, observed 2026-08-07T15:12:27.016745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 167ddd9a-7146-4db2-a903-a970a53e3734 · outbound

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

Persuasive Prediction via Decision Calibration High-Dimensional Prediction for Sequential Decision Making

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:12:24.225910Z digest=sha256:4980eec466da736305b04e541778e65b8281d135e90face002c02a082a4e55f8

Observation de0e438f-9df4-42bb-b15a-a1bd3acf0e15 · outbound

This paper cites Near-optimal algorithms for omniprediction.

Persuasive Prediction via Decision Calibration Near-optimal algorithms for omniprediction

Reference 37

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source=arxiv_source observed=2026-08-07T15:12:24.344531Z digest=sha256:5db05de456130f7805116177f1e0b7c83fb0d0b5f6e8d35826d34d477e0869a1

Observation 729c4362-ad95-4543-b1d4-7a63c38d4b65 · outbound

This paper cites Full implementation and belief restrictions.

Persuasive Prediction via Decision Calibration Full implementation and belief restrictions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:26.747117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.410586Z digest=sha256:71fca1d90f0ad12b145c323e3f2684f42d3d5b90903dd380e887f0eca44762bd

Observation 2ee36813-79b9-4d16-ad52-177ff4d06cf6 · outbound

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

Persuasive Prediction via Decision Calibration Forecasting for swap regret for all downstream agents

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:26.552905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.473307Z digest=sha256:acc7e4663fc6a94228139eb72f90adef96721ee0e1c75d2d7e67d8f02d341e30

Observation 768cb65d-bf27-4409-b6a2-ee048feae68e · outbound

This paper cites A sample complexity measure with applications to learning optimal auctions.

Persuasive Prediction via Decision Calibration A sample complexity measure with applications to learning optimal auctions

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:26.427606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.573024Z digest=sha256:05de7d538e59ee42b00a9e93c1344a1c162146fca5c70eeea2135cbe80b30911

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

This paper cites Dimension-Free Decision Calibration for Nonlinear Loss Functions.

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

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:24.659085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:12:24.659085Z digest=sha256:e2592b200d1c0dda472e8be8f87cbced7ffb10a89a78840412d879b04f28f268

Observation e91502bc-254a-4c38-acee-bc3902cb04fb · outbound

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

Persuasive Prediction via Decision Calibration Calibrating predictions to decisions: A novel approach to multi-class calibration

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:12:26.259058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.739888Z digest=sha256:e2ef96fb75dc71fe9c8d99165a27784de0c89081e6c426331a9174155b50958c

Pith citing papers

No inbound Pith citation observations are available.