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Paper Citation Record · LEDGER

Persuasive Prediction via Decision Calibration

As of 17 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 2026-08-17T06:30:58.91139+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

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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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source=arxiv_source observed=2026-08-07T15:12:21.074674Z digest=sha256:80b84baaa4cf66d875583c236460f8efb5428863c74cdc656e2c0083d17c045a

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 2026-08-17T06:30:58.91139+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=arxiv_source observed=2026-08-07T15:12:21.196857Z digest=sha256:98e60791f248228bf062b885a99104fdd2573ebc269ebe5d71fa1d1646bf4aee

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:21.276064Z digest=sha256:d76371b6eff3add598140867b003a81ef139351a019a35bffb5599f93a52c326

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:21.330081Z digest=sha256:7c6c32d98e5c132fe3148e8e4dbb72bb5eed204868b7623705b7463cce97d8d7

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 2026-08-17T06:30:58.91139+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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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:21.685183Z digest=sha256:bfa182c21405b308b0faeea72833dbd804eacf4cc7f4ca4b4b1224e6805f587b

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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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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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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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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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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source=arxiv_source observed=2026-08-07T15:12:22.780857Z digest=sha256:bb796054d2226aed17385dcf7371a8050db7abaa92d984727584d93bdfddd4ad

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:23.373681Z digest=sha256:ab21bec971f193250340db6071a82e1eebfd28e46fa23844453308950fecfc39

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:12:23.493426Z digest=sha256:31e96d105732ada5bd458d54e2f4295ea26c886f747407fbdd56f8eb51c174a6

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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source=arxiv_source observed=2026-08-07T15:12:23.597875Z digest=sha256:de2e2099f0ef09afe5ec9c4d7ad20d7c598819ec7ec94f6bd847c8d43d5ef73e

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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source=arxiv_source observed=2026-08-07T15:12:23.726435Z digest=sha256:13a787e58d2818fc08cb25425380e6f605f66426842903c5bf9591b4f182cb7f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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:e589cf6c98e6b81db64795ef356f911d2c2492eaa6b896fb0a51151eadfad5d5

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.029233Z digest=sha256:9f5c42f12352371cb8dc6d132510fa7ba47faf9ed9f173562a4307ec8e868f36

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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source=arxiv_source observed=2026-08-07T15:12:24.225910Z digest=sha256:fb4a01ebcfcd6ce9607e3e6dc640270fc24d530b5901e5a8ce291f235a4fc511

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:b533a39fc61275bdb40977834462a07e80f2d8c9bcbfb929714f4ee45f3dbf6d

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.410586Z digest=sha256:954e0302a3c9c493749806eb368060b2ccccef5f06eb5bed31cd415ff3c7a6da

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.473307Z digest=sha256:9722aa91877c3822f9094f86d5a195dd98b341f38c34fb0ac247183c7f998422

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.573024Z digest=sha256:671ee25fb8b0d11b8380f1437d09aa0ca7797e26a618c5ff1f7cdfff6dbb143f

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=sha256:7ab8fab23e2a6c7c26eefa425c53b52704c616faaebb04ee673f9ff653504be7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:12:24.739888Z digest=sha256:bb09c417fa9c7306e67cf72217b86a48b12ce2aab53065f4ec5b2c05bc96c1da

Pith citing papers

No inbound Pith citation observations are available.