Paper Citation Record · LEDGER

Calibeating Prediction-Powered Inference

As of 25 July 2026, this Paper Citation Record lists 52 of 52 outbound references and 3 inbound Pith citation observations for arXiv:2604.21260.

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

pith.paper-citation-record.v1
2604.21260 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T20:07:31.769767Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-24T06:31:00.690269+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:51:50.761046Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T00:17:29.301323Z

Reference resolution

52 of 52 outbound references displayed

verified exact33
verified fuzzy13
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

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Outbound references

Observation e06513f3-abf4-4d86-8179-2918283a7172 · outbound

This paper cites PPI++: Efficient Prediction-Powered Inference.

Calibeating Prediction-Powered Inference PPI++: Efficient Prediction-Powered Inference

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T12:22:26.080624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation e3fad3b1-8f91-4225-b850-a172db117460 · outbound

This paper cites Data-adaptive smoothing for optimal-rate estimation of possibly non-regular parameters.

Calibeating Prediction-Powered Inference Data-adaptive smoothing for optimal-rate estimation of possibly non-regular parameters

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:03:49.331153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation be8918f0-2fc8-4524-8411-a8576554475d · outbound

This paper cites Fast rates for empirical risk minimization over c\`adl\`ag functions with bounded sectional variation norm.

Calibeating Prediction-Powered Inference Fast rates for empirical risk minimization over c\`adl\`ag functions with bounded sectional variation norm

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.905136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation a41d5867-724b-4e0b-98a4-161029b069d9 · outbound

This paper cites On the Equivalence between Neyman Orthogonality and Pathwise Differentiability.

Calibeating Prediction-Powered Inference On the Equivalence between Neyman Orthogonality and Pathwise Differentiability

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:21:11.028683Z

Source-reported events for the cited work

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Observation 65bcdb98-6875-466e-81e4-bfbdec99fc30 · outbound

This paper cites Conditional Influence Functions.

Calibeating Prediction-Powered Inference Conditional Influence Functions

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.803046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 0575295d-5153-4758-8625-af5ac610baff · outbound

This paper cites Prediction-powered Generalization of Causal Inferences.

Calibeating Prediction-Powered Inference Prediction-powered Generalization of Causal Inferences

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.837015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 21bef264-8b35-4ab2-a206-888d2448b069 · outbound

This paper cites Causal Inference: A Missing Data Perspective.

Calibeating Prediction-Powered Inference Causal Inference: A Missing Data Perspective

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:27:11.010268Z

Source-reported events for the cited work

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Observation 6cf1e58a-c967-4fd5-83c2-d5e1cfbe918e · outbound

This paper cites Towards a unified theory for semiparametric data fusion with individual-level data.arXiv preprint arXiv:2409.09973.

Calibeating Prediction-Powered Inference Towards a unified theory for semiparametric data fusion with individual-level data.arXiv preprint arXiv:2409.09973

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.826116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 373b55d0-5591-4b18-b960-b6c7cadd7930 · outbound

This paper cites Local Prediction-Powered Inference.

Calibeating Prediction-Powered Inference Local Prediction-Powered Inference

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:26:05.433357Z

Source-reported events for the cited work

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Observation 096a0495-4c68-4853-a791-8e4f64516d51 · outbound

This paper cites Propensity score models are better when post-calibrated.

Calibeating Prediction-Powered Inference Propensity score models are better when post-calibrated

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:05.493878Z

Source-reported events for the cited work

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Observation e22d8da1-e2a8-436d-a5cc-aa3d69e02313 · outbound

This paper cites Robustness of shape-restricted regression estimators: an envelope perspective.

Calibeating Prediction-Powered Inference Robustness of shape-restricted regression estimators: an envelope perspective

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:45:00.016744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 09174852-16fa-4b9a-9754-f90fda748d0f · outbound

This paper cites Powering rcts for marginal effects with glms using prognostic score adjustment.arXiv preprint arXiv:2503.22284.

Calibeating Prediction-Powered Inference Powering rcts for marginal effects with glms using prognostic score adjustment.arXiv preprint arXiv:2503.22284

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.969623Z

Source-reported events for the cited work

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Observation 0f7cc376-82d2-4d68-92a9-1a3bcbbfea20 · outbound

This paper cites Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI.

Calibeating Prediction-Powered Inference Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-23T03:13:09.687273Z

Source-reported events for the cited work

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Observation 69357e0a-3f43-4dff-84f5-899a4777d4b2 · outbound

This paper cites Smooth isotonic regression: a new method to calibrate predictive models.AMIA Summits on Translational Science Proceedings, 2011:16.

Calibeating Prediction-Powered Inference Smooth isotonic regression: a new method to calibrate predictive models.AMIA Summits on Translational Science Proceedings, 2011:16

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.567028Z

Source-reported events for the cited work

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Observation 7a4e3d22-4a5d-444b-9808-f4f681d747f6 · outbound

This paper cites MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation.

Calibeating Prediction-Powered Inference MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:26:05.579361Z

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Observation 52f9e628-3d90-44c4-9d80-ec6efd7d2bdf · outbound

This paper cites Calibration of probabilities: The state of the art.

Calibeating Prediction-Powered Inference Calibration of probabilities: The state of the art

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.573804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation c98b00fc-09f1-41f0-98ca-26b43c86b50a · outbound

This paper cites Robust Estimation and Inference in Hybrid Controlled Trials for Binary Outcomes: A Case Study on Non-Small Cell Lung Cancer.

Calibeating Prediction-Powered Inference Robust Estimation and Inference in Hybrid Controlled Trials for Binary Outcomes: A Case Study on Non-Small Cell Lung Cancer

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.846978Z

Source-reported events for the cited work

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Observation 87af562d-58f7-4914-9e1a-b103536b3061 · outbound

This paper cites Adaptive Sequential Design for a Single Time-Series.

Calibeating Prediction-Powered Inference Adaptive Sequential Design for a Single Time-Series

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:05.534640Z

Source-reported events for the cited work

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Observation 7b1539b1-f8ab-41a6-818d-4f23a860fa7f · outbound

This paper cites Ppi is the difference estimator: Recognizing the survey sampling roots of prediction-powered inference.arXiv preprint arXiv:2603.19160.

Calibeating Prediction-Powered Inference Ppi is the difference estimator: Recognizing the survey sampling roots of prediction-powered inference.arXiv preprint arXiv:2603.19160

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:05.622367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 8d515466-1c2a-4107-8582-b501087e2b3f · outbound

This paper cites Efficient targeted maximum likelihood estimators for two-phase design problems.arXiv preprint arXiv:2602.24131.

Calibeating Prediction-Powered Inference Efficient targeted maximum likelihood estimators for two-phase design problems.arXiv preprint arXiv:2602.24131

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:11.022341Z

Source-reported events for the cited work

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Observation f8906962-94a1-4bc1-a291-d610415674f6 · outbound

This paper cites Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators.

Calibeating Prediction-Powered Inference Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.790865Z

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Observation 05e5fe9b-ca14-4f35-901b-bd52b029caaf · outbound

This paper cites A note on the relation between one-step, outcome regression and ipw-type estimators of parameters with the mixed bias property.arXiv preprint arXiv:2509.22452.

Calibeating Prediction-Powered Inference A note on the relation between one-step, outcome regression and ipw-type estimators of parameters with the mixed bias property.arXiv preprint arXiv:2509.22452

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.766473Z

Source-reported events for the cited work

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Observation f80f63e1-ea60-47db-b71e-d7464cb85cc2 · outbound

This paper cites Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819.

Calibeating Prediction-Powered Inference Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.935416Z

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Observation 6737074c-8fe4-4c56-aa44-46e7921777bf · outbound

This paper cites Prediction-powered conditional inference.arXiv preprint arXiv:2603.05575.

Calibeating Prediction-Powered Inference Prediction-powered conditional inference.arXiv preprint arXiv:2603.05575

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.929172Z

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No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 637bb35b-2d3b-487a-bdd0-66fe4f7edc29 · outbound

This paper cites Consistency of the bootstrap for asymptotically linear estimators based on machine learning.

Calibeating Prediction-Powered Inference Consistency of the bootstrap for asymptotically linear estimators based on machine learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.956521Z

Source-reported events for the cited work

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Observation a55eccb1-d4bb-4769-8bf9-47275f28dbcc · outbound

This paper cites Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction.

Calibeating Prediction-Powered Inference Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:21:10.996028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 81014b4e-c7b1-4f53-9788-a94573fdc48b · outbound

This paper cites Bellman Calibration for $V$-Learning in Offline Reinforcement Learning.

Calibeating Prediction-Powered Inference Bellman Calibration for $V$-Learning in Offline Reinforcement Learning

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:21:11.014510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 8a336d22-27a5-457c-9407-08b68c2a7e95 · outbound

This paper cites Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts.

Calibeating Prediction-Powered Inference Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.868348Z

Source-reported events for the cited work

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Observation c70e46ee-8581-4bfa-b3c9-e3020e557015 · outbound

This paper cites Higher Order Targeted Maximum Likelihood Estimation.

Calibeating Prediction-Powered Inference Higher Order Targeted Maximum Likelihood Estimation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.859488Z

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Observation 94883172-37c4-4a43-b89e-6aabc66e089e · outbound

This paper cites Venn-Abers predictors.

Calibeating Prediction-Powered Inference Venn-Abers predictors

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.884817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 7764af8f-8088-48c0-997f-be5d67c9120b · outbound

This paper cites Calibration in Deep Learning: A Survey of the State-of-the-Art.

Calibeating Prediction-Powered Inference Calibration in Deep Learning: A Survey of the State-of-the-Art

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.983339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation a1b7f8b9-e4c6-4eef-958f-11e931259367 · outbound

This paper cites Efficient inference using large language models with limited human data: Fine-tuning then rectification.arXiv preprint arXiv:2511.19486.

Calibeating Prediction-Powered Inference Efficient inference using large language models with limited human data: Fine-tuning then rectification.arXiv preprint arXiv:2511.19486

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.919156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation b28617d0-84fd-4e56-b984-b74e009b2db1 · outbound

This paper cites neurips.cc/paper_files/paper/2024/hash/ad236edc564f3e3156e1b2feafb99a24-Abstract.html.

Calibeating Prediction-Powered Inference neurips.cc/paper_files/paper/2024/hash/ad236edc564f3e3156e1b2feafb99a24-Abstract.html

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.560255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 64c73686-8bcf-4239-b23d-17b210fb67b9 · outbound

This paper cites Orthogonal Causal Calibration.

Calibeating Prediction-Powered Inference Orthogonal Causal Calibration

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:11.008261Z

Source-reported events for the cited work

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Observation 35efbf4e-9906-4515-83ab-cc1f7469e7cc · outbound

This paper cites A Unified Framework for Semiparametrically Efficient Semi-Supervised Learning.

Calibeating Prediction-Powered Inference A Unified Framework for Semiparametrically Efficient Semi-Supervised Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:10.819751Z

Source-reported events for the cited work

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Observation e58ad5d8-234a-4521-91d9-f86f9c580b91 · outbound

This paper cites Contraction and uniform convergence of isotonic regression.

Calibeating Prediction-Powered Inference Contraction and uniform convergence of isotonic regression

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:10:09.580985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation e5f4dd99-4352-4642-8fde-026e07dcff0c · outbound

This paper cites Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls.

Calibeating Prediction-Powered Inference Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:21:10.895796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 0ca12284-2f56-4ae7-a464-5bea03b2ff7a · outbound

This paper cites Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs.

Calibeating Prediction-Powered Inference Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:21:10.853653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 5fe8de01-211c-4a76-8bfd-33f48671b631 · outbound

This paper cites Constructing confidence intervals for infinite-dimensional functional parameters by highly adaptive lasso.arXiv preprint arXiv:2507.10511.

Calibeating Prediction-Powered Inference Constructing confidence intervals for infinite-dimensional functional parameters by highly adaptive lasso.arXiv preprint arXiv:2507.10511

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:05.606090Z

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Observation d1312805-d4b6-44ba-8610-0c890774aedd · outbound

This paper cites Wenjing Zheng and Mark J Van Der Laan.

Calibeating Prediction-Powered Inference Wenjing Zheng and Mark J Van Der Laan

Reference 40

Resolution: verified exact; doi, observed 2026-05-09T20:11:37.612298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation ef6291f9-683d-4196-976e-f519d6a1f18e · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Calibeating Prediction-Powered Inference Instruction-Following Evaluation for Large Language Models

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T15:21:10.813452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 421216d5-73dc-4501-b331-ac5c36dbb015 · outbound

This paper cites This characterization shows that the AIPW class is the relevant first-order benchmark in this model.

Calibeating Prediction-Powered Inference This characterization shows that the AIPW class is the relevant first-order benchmark in this model

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.576831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 328fc0d8-0208-4fd3-86be-a5a5afa82625 · outbound

This paper cites an unresolved cited work.

Calibeating Prediction-Powered Inference Unresolved cited work

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.553704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 7a0e7fd2-05fb-49ff-aee5-2a929dba8c4e · outbound

This paper cites Assume Y∈ [0, 1], or rescale otherwise.

Calibeating Prediction-Powered Inference Assume Y∈ [0, 1], or rescale otherwise

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.557014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 8d9b10a9-bb52-41b0-be6e-df7789913ebe · outbound

This paper cites Its influence function is the difference of the two arm-specific AIPW influences, Dτ(O) = ˜m1(X)−µ 1 + A π1 Y−˜m 1(X) − ˜m0(X)−µ 0 + 1−A π0 Y−˜m 0(X).

Calibeating Prediction-Powered Inference Its influence function is the difference of the two arm-specific AIPW influences, Dτ(O) = ˜m1(X)−µ 1 + A π1 Y−˜m 1(X) − ˜m0(X)−µ 0 + 1−A π0 Y−˜m 0(X)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.563564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 7a4d2200-87d4-4d2c-bd46-d6d2f495e924 · outbound

This paper cites Expanding the variance ofu⊤Dm(O)therefore yields Var[u⊤Dm(O)] = Var[u⊤Deff(O)] +E P0 1−π 0(X) π0(X) u⊤A−1 0 δm(X) 2.

Calibeating Prediction-Powered Inference Expanding the variance ofu⊤Dm(O)therefore yields Var[u⊤Dm(O)] = Var[u⊤Deff(O)] +E P0 1−π 0(X) π0(X) u⊤A−1 0 δm(X) 2

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.570769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 0ceaad1e-9332-4e11-8d7c-941d1ba98815 · outbound

This paper cites Also, ρ0Var[C] =ρ 0 ·ρ −2 0 EP0[ε2] =ρ −1 0 EP0 Var[Y|X].

Calibeating Prediction-Powered Inference Also, ρ0Var[C] =ρ 0 ·ρ −2 0 EP0[ε2] =ρ −1 0 EP0 Var[Y|X]

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.551147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation c03e4271-4038-434c-94c8-21700f7dd6df · outbound

This paper cites Since δ is arbitrary, the resulting rates and distributional statements hold unconditionally.

Calibeating Prediction-Powered Inference Since δ is arbitrary, the resulting rates and distributional statements hold unconditionally

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.544705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 6705acca-90d0-4b2b-bfb2-21d19a7ff01e · outbound

This paper cites Then (PL n −P 0,X){m⋆ n,iso(X)−m 0(X)}=O p(n−2/3),(P U N −P 0,X){m⋆ n,iso(eX)−m 0(eX)}=O p n−1/3N −1/2.

Calibeating Prediction-Powered Inference Then (PL n −P 0,X){m⋆ n,iso(X)−m 0(X)}=O p(n−2/3),(P U N −P 0,X){m⋆ n,iso(eX)−m 0(eX)}=O p n−1/3N −1/2

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.581732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 144ba8d7-b98e-4afe-b64d-5d7d35b89ed0 · outbound

This paper cites The latter controls the remainder generated by estimating the monotone post-processing map and yields then−2/3 remainder rate.

Calibeating Prediction-Powered Inference The latter controls the remainder generated by estimating the monotone post-processing map and yields then−2/3 remainder rate

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.541664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 5c21e1b5-dd62-4fa9-a397-530764d0118e · outbound

This paper cites Package documentation and worked examples are hosted at larsvanderlaan.github.io/ppi-aipw/.

Calibeating Prediction-Powered Inference Package documentation and worked examples are hosted at larsvanderlaan.github.io/ppi-aipw/

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T14:09:34.548105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation b6a67efa-9cf7-4c12-bd3f-a6ba9ee1290e · outbound

This paper cites estimate.

Calibeating Prediction-Powered Inference estimate

Reference 52

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T15:26:05.650885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Pith citing papers

Observation e25964c9-a154-4354-a247-d343024cbc0b · inbound

Causal methods for LLM development and evaluation cites this paper.

Causal methods for LLM development and evaluation Calibeating Prediction-Powered Inference

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:54:00.868558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation b40d6774-abb5-4392-b196-02a066dd26be · inbound

Prediction-Powered Inference Across Many Tasks for AI Evaluation & Social Science Research cites this paper.

Prediction-Powered Inference Across Many Tasks for AI Evaluation & Social Science Research Calibeating Prediction-Powered Inference

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-29T06:03:08.445688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

Observation 5270daf2-ab84-43c4-a916-f0d84d21f71f · inbound

AI-Assisted Variance Reduction in Randomized Experiments cites this paper.

AI-Assisted Variance Reduction in Randomized Experiments Calibeating Prediction-Powered Inference

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:17:29.302535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.