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Paper Citation Record · LEDGER

Improving Coverage in Combined Prediction Sets with Weighted p-values

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.11785.

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

pith.paper-citation-record.v1
2505.11785 v3

Coverage vector

measured 53 of 53 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 653ecd27-d2b3-46a8-b6c5-6dbeb39f5199 · outbound

This paper cites Transformers in vision: A survey.ACM computing surveys (CSUR), 54 (10s):1–41, 2022.

Improving Coverage in Combined Prediction Sets with Weighted p-values Transformers in vision: A survey.ACM computing surveys (CSUR), 54 (10s):1–41, 2022

Reference 1

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Observation dc3b49f1-6885-4776-ab6c-5e2a9d5bcb84 · outbound

This paper cites Recent advances in natural language processing via large pre-trained language models: A survey.ACM Computing Surveys, 56(2): 1–40, 2023.

Improving Coverage in Combined Prediction Sets with Weighted p-values Recent advances in natural language processing via large pre-trained language models: A survey.ACM Computing Surveys, 56(2): 1–40, 2023

Reference 2

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Observation 457acee8-49aa-4ca7-b66d-208a5e9089d4 · outbound

This paper cites Foundations & trends in multimodal machine learning: Principles, challenges, and open questions.ACM Computing Surveys, 56 (10):1–42, 2024.

Improving Coverage in Combined Prediction Sets with Weighted p-values Foundations & trends in multimodal machine learning: Principles, challenges, and open questions.ACM Computing Surveys, 56 (10):1–42, 2024

Reference 3

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Observation 916f1ff1-2859-4c42-b72b-9c572417fba0 · outbound

This paper cites Improving the accuracy of medical diagnosis with causal machine learning.Nature communications, 11(1):3923, 2020.

Improving Coverage in Combined Prediction Sets with Weighted p-values Improving the accuracy of medical diagnosis with causal machine learning.Nature communications, 11(1):3923, 2020

Reference 4

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Observation 9cd3ad9c-9a31-4068-97aa-9b763206d0b0 · outbound

This paper cites The clinician and dataset shift in artificial intelligence.New England Journal of Medicine, 385(3):283–286, 2021.

Improving Coverage in Combined Prediction Sets with Weighted p-values The clinician and dataset shift in artificial intelligence.New England Journal of Medicine, 385(3):283–286, 2021

Reference 5

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Observation 5b80c3ed-709c-43c0-a3cd-0fa4f2f5177b · outbound

This paper cites Tackling prediction uncertainty in machine learning for healthcare.Nature Biomedical Engineering, 7(6):711–718, 2023.

Improving Coverage in Combined Prediction Sets with Weighted p-values Tackling prediction uncertainty in machine learning for healthcare.Nature Biomedical Engineering, 7(6):711–718, 2023

Reference 6

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Observation 31bcb873-b226-4938-ad9e-8f71ebba39ef · outbound

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Improving Coverage in Combined Prediction Sets with Weighted p-values Unresolved cited work

Reference 7

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Observation 90ead7be-d3fa-42fc-816a-56647c496cda · outbound

This paper cites Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control.Journal of Intelligent Manufacturing, 34(1):21–55, 2023.

Improving Coverage in Combined Prediction Sets with Weighted p-values Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control.Journal of Intelligent Manufacturing, 34(1):21–55, 2023

Reference 8

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Observation 22cfdc55-925f-40f5-91ad-b70db0c8a268 · outbound

This paper cites Machine learning for industrial sensing and control: A survey and practical perspective.Control Engineering Practice, 145:105841, 2024.

Improving Coverage in Combined Prediction Sets with Weighted p-values Machine learning for industrial sensing and control: A survey and practical perspective.Control Engineering Practice, 145:105841, 2024

Reference 9

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Observation dde84aeb-3b96-4383-bc66-17bc1c10cf2f · outbound

This paper cites Physics-informed machine learning: case studies for weather and climate modelling.Philosophical Transactions of the Royal Society A, 379(2194):20200093, 2021.

Improving Coverage in Combined Prediction Sets with Weighted p-values Physics-informed machine learning: case studies for weather and climate modelling.Philosophical Transactions of the Royal Society A, 379(2194):20200093, 2021

Reference 10

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Observation 28ad39c1-d450-40e1-b66d-cd2cbe8e354c · outbound

This paper cites Pushing the frontiers in climate modelling and analysis with machine learning.

Improving Coverage in Combined Prediction Sets with Weighted p-values Pushing the frontiers in climate modelling and analysis with machine learning

Reference 11

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Observation 252f8c06-44a1-4026-be3e-9e8bed24ee41 · outbound

This paper cites Machine learning for climate physics and simulations.

Improving Coverage in Combined Prediction Sets with Weighted p-values Machine learning for climate physics and simulations

Reference 12

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Observation 638c8d3a-d85c-4456-b18c-f0494ce918c8 · outbound

This paper cites Springer, 2005.

Improving Coverage in Combined Prediction Sets with Weighted p-values Springer, 2005

Reference 13

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Observation eb753fa0-cdb2-406a-bab3-33d2da122ef2 · outbound

This paper cites Inductive confidence machines for regression.

Improving Coverage in Combined Prediction Sets with Weighted p-values Inductive confidence machines for regression

Reference 14

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Observation 6d2c568d-b583-4479-9a76-7cf6d5d23192 · outbound

This paper cites Cross-conformal predictors.Annals of Mathematics and Artificial Intelligence, 74:9–28, 2015.

Improving Coverage in Combined Prediction Sets with Weighted p-values Cross-conformal predictors.Annals of Mathematics and Artificial Intelligence, 74:9–28, 2015

Reference 15

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Observation 1b37da19-2f85-4822-95f6-d4584daf2bfe · outbound

This paper cites Predictive inference with the jackknife+.Annals of Statistics, 2021.

Improving Coverage in Combined Prediction Sets with Weighted p-values Predictive inference with the jackknife+.Annals of Statistics, 2021

Reference 16

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Observation 63624f7f-651b-4188-bd8a-679d834b2ed5 · outbound

This paper cites Merging uncertainty sets via majority vote.

Improving Coverage in Combined Prediction Sets with Weighted p-values Merging uncertainty sets via majority vote

Reference 17

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Observation 25ab9015-c81c-423d-af3f-b1229e09c38a · outbound

This paper cites Conformal online model aggregation.arXiv preprint arXiv:2403.15527, 2024.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformal online model aggregation.arXiv preprint arXiv:2403.15527, 2024

Reference 18

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Observation 336fa61e-e097-4396-a841-ebd7a7f52103 · outbound

This paper cites Combining p-values via averaging.Biometrika, 107(4): 791–808, 2020.

Improving Coverage in Combined Prediction Sets with Weighted p-values Combining p-values via averaging.Biometrika, 107(4): 791–808, 2020

Reference 19

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Observation 54596e7d-4f8f-47f9-9657-38bb8f29a6fa · outbound

This paper cites Adaptive mixtures of local experts.Neural computation, 3(1):79–87, 1991.

Improving Coverage in Combined Prediction Sets with Weighted p-values Adaptive mixtures of local experts.Neural computation, 3(1):79–87, 1991

Reference 20

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This paper cites Distribution-free predictive inference for regression.Journal of the American Statistical Associ- ation, 113(523):1094–1111, 2018.

Improving Coverage in Combined Prediction Sets with Weighted p-values Distribution-free predictive inference for regression.Journal of the American Statistical Associ- ation, 113(523):1094–1111, 2018

Reference 21

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Observation 7c9d57ba-0bc6-4301-8e60-411ce5d97b66 · outbound

This paper cites Selection and aggregation of conformal prediction sets.Journal of the American Statistical Association, pages 1–13, 2021.

Improving Coverage in Combined Prediction Sets with Weighted p-values Selection and aggregation of conformal prediction sets.Journal of the American Statistical Association, pages 1–13, 2021

Reference 22

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Observation a893348e-60b4-48b6-93b4-2a122f44cf63 · outbound

This paper cites Conformal prediction after data-dependent model selection.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformal prediction after data-dependent model selection

Reference 23

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Observation b2c1ba95-503c-4f8f-9674-a086dd3eea51 · outbound

This paper cites Conformity score averaging for classification.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformity score averaging for classification

Reference 24

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Observation 52bde844-64e8-47a3-8e0a-d4d3502c3917 · outbound

This paper cites Valid Selection among Conformal Sets.

Improving Coverage in Combined Prediction Sets with Weighted p-values Valid Selection among Conformal Sets

Reference 25

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Observation 21a88a73-b83a-45eb-9924-ac9b911c5613 · outbound

This paper cites Majority vote ensembles of conformal predictors.Machine Learning, 108 (3):475–488, 2019.

Improving Coverage in Combined Prediction Sets with Weighted p-values Majority vote ensembles of conformal predictors.Machine Learning, 108 (3):475–488, 2019

Reference 26

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Observation 64f67790-1c94-4a54-a2eb-a6a4000aad62 · outbound

This paper cites Multi split conformal prediction.Statistics & Probability Letters, 184:109395, 2021.

Improving Coverage in Combined Prediction Sets with Weighted p-values Multi split conformal prediction.Statistics & Probability Letters, 184:109395, 2021

Reference 27

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Observation b850de60-3a44-41be-8f3d-a85187b2937b · outbound

This paper cites Conformal predictions for information fusion: A comparative study of p-value combination methods.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformal predictions for information fusion: A comparative study of p-value combination methods

Reference 28

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Observation ebc0fb8a-e14e-4849-ae5b-465894a88b77 · outbound

This paper cites Exact tests via multiple data splitting.Statistics & Probability Letters, 166:108865, 2020.

Improving Coverage in Combined Prediction Sets with Weighted p-values Exact tests via multiple data splitting.Statistics & Probability Letters, 166:108865, 2020

Reference 29

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Observation 446efed3-f01d-4322-b426-962862ad7d04 · outbound

This paper cites lehne h o ab, wenn k unter n gegebenen tests zur ablehnung führen.

Improving Coverage in Combined Prediction Sets with Weighted p-values lehne h o ab, wenn k unter n gegebenen tests zur ablehnung führen

Reference 30

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Observation f28dbac8-e04e-4c29-8664-cdb69dacbb63 · outbound

This paper cites Tests of the overall hypothesis for arbitrary dependence structures.Biometri- cal Journal, 25(5):423–430, 1983.

Improving Coverage in Combined Prediction Sets with Weighted p-values Tests of the overall hypothesis for arbitrary dependence structures.Biometri- cal Journal, 25(5):423–430, 1983

Reference 31

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Observation c699d5bd-a705-41b8-b40e-576f336c2ccf · outbound

This paper cites Random variables with maximum sums.Advances in Applied Probability, 14(3):623–632, 1982.

Improving Coverage in Combined Prediction Sets with Weighted p-values Random variables with maximum sums.Advances in Applied Probability, 14(3):623–632, 1982

Reference 32

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Observation 818dcb17-8eb0-4985-ac60-14060a51948d · outbound

This paper cites Conformal prediction under ambiguous ground truth.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformal prediction under ambiguous ground truth

Reference 33

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Observation 6ef14ac0-e382-4651-93d1-592350045e21 · outbound

This paper cites an unresolved cited work.

Improving Coverage in Combined Prediction Sets with Weighted p-values Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-15T20:58:03.227570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.561322Z digest=sha256:4413f37cdd45ea662facb92efd56a3262ed93dc30b7c15a37e5cad9a8ca3ab48

Observation 2ade1119-c009-45e1-a6d6-e258a0936274 · outbound

This paper cites Multi-split conformal prediction via cauchy aggregation.Stat, 12(1):e522, 2022.

Improving Coverage in Combined Prediction Sets with Weighted p-values Multi-split conformal prediction via cauchy aggregation.Stat, 12(1):e522, 2022

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T20:58:03.212009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.566152Z digest=sha256:677d5a0186e35c4aaac6858b7a15e9ab945dcf59128693d4b682874628451baf

Observation 8c87664c-3646-4d03-b238-1f5caeb23f0d · outbound

This paper cites Distribution-free prediction bands for non-parametric regression.

Improving Coverage in Combined Prediction Sets with Weighted p-values Distribution-free prediction bands for non-parametric regression

Reference 36

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unresolved
no resolver link, observed 2026-08-15T20:58:02.571304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.571304Z digest=sha256:5b0f0f518e877fdf9a3044cde1d497f8d49de2652524c89858adb8b531cecdcf

Observation 8b9a189d-ce20-47c2-aa26-073f9349e99f · outbound

This paper cites Conditional validity of inductive conformal predictors.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conditional validity of inductive conformal predictors

Reference 37

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no resolver link, observed 2026-08-15T20:58:02.576426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.576426Z digest=sha256:fdd30bbb5fbe8c678e0329a40cef82e1dc9051fc1355c5ec6ed7bfd22d95f48b

Observation 26938316-c223-4ae5-a5f2-034762a81aff · outbound

This paper cites Conformalized quantile regression.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformalized quantile regression

Reference 38

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no resolver link, observed 2026-08-15T20:58:02.581305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.581305Z digest=sha256:44e8a516fd819920a385df2f099205df5699a7d3496a240e502f36a683c8380c

Observation acd91792-b779-4903-876c-be2bb5fb0d16 · outbound

This paper cites Classification with valid and adaptive coverage.Advances in Neural Information Processing Systems, 33:3581–3591, 2020.

Improving Coverage in Combined Prediction Sets with Weighted p-values Classification with valid and adaptive coverage.Advances in Neural Information Processing Systems, 33:3581–3591, 2020

Reference 39

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no resolver link, observed 2026-08-15T20:58:02.586144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.586144Z digest=sha256:f7e3006bc35eb55762f64c4714a5ed7c01b31079a2148d3b1179f45f4a5a71a5

Observation 3b41ee26-6a8f-42ab-aea0-90d2111cea12 · outbound

This paper cites A data-driven software tool for enabling cooperative information sharing among police departments.European Journal of Operational Research, 141(3):660–678, 2002.

Improving Coverage in Combined Prediction Sets with Weighted p-values A data-driven software tool for enabling cooperative information sharing among police departments.European Journal of Operational Research, 141(3):660–678, 2002

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-15T20:58:03.152656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.591096Z digest=sha256:3541a82a9bd5e7d1042a36826f509d0dc4b587f8b8df7cf4c48a20e9ebff1815

Observation 760c0229-61a6-4cbb-bbc0-a28545f0a423 · outbound

This paper cites Conformal Prediction With Conditional Guarantees.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformal Prediction With Conditional Guarantees

Reference 41

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no resolver link, observed 2026-08-15T20:58:02.596008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.596008Z digest=sha256:8555a1264bd69226d260fcbe7e2f5507d9cac7641e4721154da0355370110de6

Observation 8e8575a7-0872-4d5c-abc6-8e6d480817a4 · outbound

This paper cites A comparison of some conformal quantile regression methods.Stat, 9(1):e261, 2020.

Improving Coverage in Combined Prediction Sets with Weighted p-values A comparison of some conformal quantile regression methods.Stat, 9(1):e261, 2020

Reference 42

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no resolver link, observed 2026-08-15T20:58:02.601215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.601215Z digest=sha256:43328c6b3602c1472ba6b13eb7e524af7d49c0407c310fa1470c52c6ea951f96

Observation f34d137d-7dba-461f-9356-2593fc8c0cac · outbound

This paper cites Conformal- ized fairness via quantile regression.Advances in Neural Information Processing Systems, 35: 11561–11572, 2022.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformal- ized fairness via quantile regression.Advances in Neural Information Processing Systems, 35: 11561–11572, 2022

Reference 43

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unresolved
no resolver link, observed 2026-08-15T20:58:02.605887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.605887Z digest=sha256:04a5069641e96e5b1e510b8191725a75537e674a143682237ae0844650b87848

Observation 9cd7081c-f6db-47ad-9402-33336e0620d7 · outbound

This paper cites Ensemble conformalized quantile regression for probabilistic time series forecasting.IEEE Transactions on Neural Networks and Learning Systems, 35(7):9014–9025, 2022.

Improving Coverage in Combined Prediction Sets with Weighted p-values Ensemble conformalized quantile regression for probabilistic time series forecasting.IEEE Transactions on Neural Networks and Learning Systems, 35(7):9014–9025, 2022

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-15T20:58:03.113906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.610961Z digest=sha256:9b7fb6ee27eec021c32de62934ff7c4c9de7ddbc32f6716f927d6ca84a474d36

Observation 0c28f086-d570-4035-92fe-c926b763ed81 · outbound

This paper cites Integrating uncertainty awareness into conformalized quantile regression.

Improving Coverage in Combined Prediction Sets with Weighted p-values Integrating uncertainty awareness into conformalized quantile regression

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-15T20:58:03.097511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.615722Z digest=sha256:40eae6bd6521b8775b5340f64f512ef4e8e114f8cd754a0f5c2e1f9cbb3c49c5

Observation b7aa388d-5ee9-4e67-b590-0c7aae6165b8 · outbound

This paper cites Conformal prediction with localization.

Improving Coverage in Combined Prediction Sets with Weighted p-values Conformal prediction with localization

Reference 46

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no resolver link, observed 2026-08-15T20:58:02.620471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.620471Z digest=sha256:2994a8fcf6479bf17b75ecc9bcbb935d42c8c14e7e8a18ffffd91dfee3a513c9

Observation 80673db9-dda3-4798-b110-2977c582cbfa · outbound

This paper cites EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate.

Improving Coverage in Combined Prediction Sets with Weighted p-values EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate

Reference 47

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no resolver link, observed 2026-08-15T20:58:02.625338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.625338Z digest=sha256:6c7b79e73a5a7cc10a6766d4b32ca965c168886283a6e5b9f76e194c0dda09be

Observation aca17cd3-0e8a-4229-83cd-4f698d733ec0 · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Improving Coverage in Combined Prediction Sets with Weighted p-values MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 48

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no resolver link, observed 2026-08-15T20:58:02.630302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:02.630302Z digest=sha256:b1e36b2614d24fe1af1cbbefd22a51fb9837f0638b6204e7b854b880812109c5

Observation 28c494c2-ebbb-4699-b5f0-ebb8e9611a5f · outbound

This paper cites portion: Python data structure and operations for intervals, 2018.

Improving Coverage in Combined Prediction Sets with Weighted p-values portion: Python data structure and operations for intervals, 2018

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-15T20:58:03.080353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.635026Z digest=sha256:d3f753636a0481e6b532473122585c979e4243326a381caac4bfdacef81319ed

Observation 15e4032f-64c0-4dcf-bfa6-173ee83ccf2f · outbound

This paper cites The uci machine learning repository.

Improving Coverage in Combined Prediction Sets with Weighted p-values The uci machine learning repository

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-15T20:58:03.061174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.639550Z digest=sha256:e9b8105f2d1d8aed160a564f63e848a365f5632779833296aae351b1e33b4e07

Observation ab7a9c9c-e17d-42ec-8135-a3d956fa193d · outbound

This paper cites an unresolved cited work.

Improving Coverage in Combined Prediction Sets with Weighted p-values Unresolved cited work

Reference 51

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unresolved
raw_fallback, observed 2026-08-15T20:58:03.042800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.644395Z digest=sha256:19e28182aa7e2376b475687e58f084b7f984e4f7cf7ebfd4b65872383d1c83d4

Observation 55aaac6f-e737-4430-93f5-c1c6311498c5 · outbound

This paper cites an unresolved cited work.

Improving Coverage in Combined Prediction Sets with Weighted p-values Unresolved cited work

Reference 52

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unresolved
raw_fallback, observed 2026-08-15T20:58:03.025759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.649717Z digest=sha256:2c821b1aee2a250b5490c9b0375385f5aba94bfbff9aa151d7b8baf10ff3341e

Observation 5869c2d7-7b91-44ac-a747-077f77f40d17 · outbound

This paper cites By feasibility ofm, FPall(δ) =F Pall(α/m)≤α=mδ, or FPall(δ)/δ≤m.

Improving Coverage in Combined Prediction Sets with Weighted p-values By feasibility ofm, FPall(δ) =F Pall(α/m)≤α=mδ, or FPall(δ)/δ≤m

Reference 53

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T20:58:03.010354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T20:58:02.654550Z digest=sha256:0c55c355088009fd734b0d428fc73c966149d395fc18f2dccab2b5311dc26469

Pith citing papers

No inbound Pith citation observations are available.