Paper Citation Record · LEDGER

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment

As of 10 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2505.22803.

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

pith.paper-citation-record.v1
2505.22803 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

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measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:54:53.324522Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:54:55.214993Z

Reference resolution

71 of 71 outbound references displayed

verified exact0
verified fuzzy57
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eec5405d-f644-4a21-aaea-388f877c0ffb · outbound

This paper cites Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi

Reference 1

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Observation 481aeb2d-a8d3-4b5f-b7a3-81a116d39455 · outbound

This paper cites Objective evaluation of deep uncertainty predictions for covid-19 detection.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Objective evaluation of deep uncertainty predictions for covid-19 detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:01.711269Z

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Observation 8b680134-cb49-474b-94c1-9dcf4920267d · outbound

This paper cites Ellis, Brian Whitman, and Paul Lamere.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Ellis, Brian Whitman, and Paul Lamere

Reference 3

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Observation 3e6d0c86-bedc-4ebf-aecb-61c172ed48a6 · outbound

This paper cites Weight uncertainty in neural networks.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Weight uncertainty in neural networks

Reference 4

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Observation 6640804c-486f-4a3b-8bb9-51dede6138a5 · outbound

This paper cites Single Shot MC Dropout Approximation.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Single Shot MC Dropout Approximation

Reference 5

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Observation c8cfd179-62b4-4c6f-921b-468e85494946 · outbound

This paper cites New york city taxi fare prediction.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment New york city taxi fare prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:00.986101Z

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Observation e4722fcf-b5d8-4550-aa2a-1a24edcee18f · outbound

This paper cites Lawrence.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Lawrence

Reference 7

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Source-reported events for the cited work

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Observation d16a2419-4d6d-48f0-95fa-717973c977d1 · outbound

This paper cites Calibration of pre-trained transformers.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Calibration of pre-trained transformers

Reference 8

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Observation 03bfbbb7-1355-4ff7-ab1f-7ec76022c754 · outbound

This paper cites Training uncertainty- aware classifiers with conformalized deep learning.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Training uncertainty- aware classifiers with conformalized deep learning

Reference 9

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Observation 4381c281-1063-41cb-bee6-02d3d366b345 · outbound

This paper cites LM-polygraph: Uncertainty estimation for language models.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment LM-polygraph: Uncertainty estimation for language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:00.204340Z

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Observation efaeac26-c6ac-4d39-acdd-8963ca468df1 · outbound

This paper cites Unsupervised quality estimation for neural machine translation.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Unsupervised quality estimation for neural machine translation

Reference 11

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Source-reported events for the cited work

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Observation 06af01d1-4c24-4dfe-aa23-55c9c9a0d4ca · outbound

This paper cites Revisiting deep learning models for tabular data.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Revisiting deep learning models for tabular data

Reference 12

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Source-reported events for the cited work

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Observation f2b856d4-c731-4658-97cc-0f919e8be654 · outbound

This paper cites Weinberger.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Weinberger

Reference 13

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Observation a796bea0-0905-4d97-97e3-52db1290a3a3 · outbound

This paper cites Calibration of neural networks using splines.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Calibration of neural networks using splines

Reference 14

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Observation a671c867-4c4e-454a-aeec-507232330db3 · outbound

This paper cites Hedonic housing prices and the demand for clean air.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Hedonic housing prices and the demand for clean air

Reference 15

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Source-reported events for the cited work

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Observation fc0cbd26-e074-4b38-8ff7-07cbec56362d · outbound

This paper cites Deep residual learning for image recognition.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Deep residual learning for image recognition

Reference 16

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Observation cf86369c-2715-4aff-a40e-fe090da24ebb · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Benchmarking neural network robustness to common corruptions and perturbations

Reference 17

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Source-reported events for the cited work

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Observation 9be1e428-37cd-42af-8b84-afd1b9312d8e · outbound

This paper cites Hoffman, David M.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Hoffman, David M

Reference 18

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Observation cdf5a428-8689-4e0e-9ab1-ae77d8e94bbf · outbound

This paper cites Soft calibration objectives for neural networks.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Soft calibration objectives for neural networks

Reference 19

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Source-reported events for the cited work

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Observation 6c8ddbe3-485d-4448-9b17-f3aa2fe8f7ed · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems, volume 30, 2017.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment What uncertainties do we need in bayesian deep learning for computer vision? In Advances in Neural Information Processing Systems, volume 30, 2017

Reference 20

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Observation 8952ccb7-961f-4f69-b6fd-51b391761e2f · outbound

This paper cites Improving model calibration with accuracy versus uncertainty optimization.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Improving model calibration with accuracy versus uncertainty optimization

Reference 21

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Observation c2c15dc5-ab25-4171-bc94-cbe0a0a46087 · outbound

This paper cites Uncertainty quantification metrics for deep regression.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Uncertainty quantification metrics for deep regression

Reference 22

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Source-reported events for the cited work

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Observation ef322540-6c18-4dc9-b766-6bc53695fd1b · outbound

This paper cites Learning multiple layers of features from tiny images.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Learning multiple layers of features from tiny images

Reference 23

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Observation c6eb86bc-54ce-45c7-bd62-20567100c06f · outbound

This paper cites Semantic uncertainty: Linguistic invari- ances for uncertainty estimation in natural language generation.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Semantic uncertainty: Linguistic invari- ances for uncertainty estimation in natural language generation

Reference 24

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Observation f6e15f52-290a-466e-a47f-cd43c0d374f4 · outbound

This paper cites Accurate uncertainties for deep learning using calibrated regression.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Accurate uncertainties for deep learning using calibrated regression

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38eb4b1e-4ee6-4cb8-9f86-8b3678bf46b1 · outbound

This paper cites Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:57.829710Z

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Observation da926095-f551-46f1-b27e-439f44f8b1b0 · outbound

This paper cites Verified uncertainty calibration.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Verified uncertainty calibration

Reference 27

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Observation 808bf435-d34d-4c3e-bb84-bf1a52a768d1 · outbound

This paper cites DEUP: Direct epistemic uncertainty prediction.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment DEUP: Direct epistemic uncertainty prediction

Reference 28

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Observation 6de5f728-4915-4534-a418-ac349cbf36d6 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 29

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Observation 0816d2cc-0397-4f65-96cc-4e794c5df9f5 · outbound

This paper cites Fast, Lüder A.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Fast, Lüder A

Reference 30

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Observation 324cfa78-6ece-44e0-94f5-fa8791e9ffd1 · outbound

This paper cites Well-calibrated model uncertainty with temperature scaling for dropout variational inference.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Well-calibrated model uncertainty with temperature scaling for dropout variational inference

Reference 31

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Observation 36036dec-9576-4ef2-bfc1-2e4cc76adc31 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 32

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Observation 9488dd69-a8d7-4177-afff-1af214d17518 · outbound

This paper cites Evaluating and calibrating uncertainty prediction in regression tasks.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Evaluating and calibrating uncertainty prediction in regression tasks

Reference 33

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Observation a287b0f7-af90-49ef-ae6a-05d7659930f3 · outbound

This paper cites Generating with confidence: Uncertainty quan- tification for black-box large language models.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Generating with confidence: Uncertainty quan- tification for black-box large language models

Reference 34

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Observation fc4ca116-2360-4866-aa7d-b22ab26ed58d · outbound

This paper cites The devil is in the mar- gin: Margin-based label smoothing for network calibration.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment The devil is in the mar- gin: Margin-based label smoothing for network calibration

Reference 35

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Observation 867d2097-975f-42ed-900d-3834fcec7730 · outbound

This paper cites Class adaptive network calibration.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Class adaptive network calibration

Reference 36

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Observation 24b4de41-f9b6-45fd-b4b9-c19d04f2ec14 · outbound

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Unresolved cited work

Reference 37

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Unresolved cited work

Reference 38

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Observation 8db362c6-c29a-4782-ae49-b2c3694546fe · outbound

This paper cites Uncertainty estimation in autoregressive structured prediction.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Uncertainty estimation in autoregressive structured prediction

Reference 39

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Observation 4011ddb7-d377-4fa2-b510-93df4bfc996a · outbound

This paper cites Error-driven uncertainty aware training.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Error-driven uncertainty aware training

Reference 40

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Observation c57dcdc9-3d77-4969-93b5-401562b89e92 · outbound

This paper cites Calibrating deep neural networks using focal loss.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Calibrating deep neural networks using focal loss

Reference 41

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Observation 25064a83-aff5-44ef-a0db-4960c7208f10 · outbound

This paper cites Cooper, and Milos Hauskrecht.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Cooper, and Milos Hauskrecht

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:55.872743Z

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Observation 0ef83cb0-200e-470a-8e7a-89a1116755d7 · outbound

This paper cites Cohen, and Mirella Lapata.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Cohen, and Mirella Lapata

Reference 43

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Observation c052773d-a20a-4b98-b144-cd670ee94076 · outbound

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Unresolved cited work

Reference 44

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Observation b8bac24d-cbce-443a-a59e-ddb65869fa03 · outbound

This paper cites an unresolved cited work.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Unresolved cited work

Reference 45

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Observation ede43c5a-ce65-4a0b-9c7f-df7299c605df · outbound

This paper cites Nix and A.S.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Nix and A.S

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:55.519488Z

Source-reported events for the cited work

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Observation 177c70e9-cfcc-4a02-94a2-4b3843abe42b · outbound

This paper cites Dusenberry, Linchuan Zhang, Ghassen Jerfel, and Dustin Tran.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Dusenberry, Linchuan Zhang, Ghassen Jerfel, and Dustin Tran

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:55.411944Z

Source-reported events for the cited work

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Observation db27a823-08e6-4905-b905-16d22c455861 · outbound

This paper cites Epistemic neural networks.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Epistemic neural networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:55.302278Z

Source-reported events for the cited work

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Observation 6343dd6c-190b-4412-9f20-6e57f179afb5 · outbound

This paper cites Analyzing uncertainty in neural machine translation.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Analyzing uncertainty in neural machine translation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:55.197411Z

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Observation d0c2ec0a-2fee-4141-b9c3-d86a63020fb4 · outbound

This paper cites Sculley, Sebastian Nowozin, Joshua Dillon, Balaji Lakshminarayanan, and Jasper Snoek.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Sculley, Sebastian Nowozin, Joshua Dillon, Balaji Lakshminarayanan, and Jasper Snoek

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:54.936690Z

Source-reported events for the cited work

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Observation 2007fdd2-17e2-4acb-9b82-60d1c1a69544 · outbound

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Unresolved cited work

Reference 51

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5e516fc-3204-4aaf-b377-14f238236dc2 · outbound

This paper cites an unresolved cited work.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:06:54.295970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 178f3228-9ec7-4eb6-be02-97b42b710726 · outbound

This paper cites an unresolved cited work.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Unresolved cited work

Reference 53

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Out-of-distribution detection and selective generation for conditional language models

Reference 54

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Berg, and Li Fei-Fei

Reference 55

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Rutemiller and David Alexander Bowers

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:53.488610Z

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Segalman, Matthew R

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:53.214063Z

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This paper cites An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions

Reference 58

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment A mathematical theory of communication

Reference 59

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Prediction and entropy of printed english

Reference 60

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Distribution calibration for regression

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:52.499810Z

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Relevant and informative response generation using pointwise mutual information

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:52.227496Z

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Parallel data, tools and interfaces in OPUS

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:51.968637Z

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This paper cites Mutual information alleviates halluci- nations in abstractive summarization.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Mutual information alleviates halluci- nations in abstractive summarization

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:51.700081Z

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Hybrid uncertainty quantification for selective text classifi- cation in ambiguous tasks

Reference 65

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Observation 59d5e5ef-7a93-4e48-88a6-8feb7d5b2fd8 · outbound

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment The Wasserstein distances, pages 93–111

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:51.249676Z

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment A survey on bayesian deep learning.ACM Comput

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:51.027151Z

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Observation f3582e55-abae-4f88-8913-76ac6db3ad70 · outbound

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment On hallucination and predictive uncertainty in conditional language generation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:50.804065Z

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Observation 7bbddebe-66f6-4ed2-8b1a-29265f83094b · outbound

This paper cites Detection of adversarial examples in text classification: Benchmark and baseline via robust density estimation.

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Detection of adversarial examples in text classification: Benchmark and baseline via robust density estimation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:50.581358Z

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Observation 54d2ee3a-d0ea-4648-93fd-cdf9767b118a · outbound

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Obtaining calibrated probability estimates from decision trees and naive bayesian classifiers

Reference 70

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Observation 3f8079fd-b1c4-457d-b3a0-49a6e40c56ab · outbound

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CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment Wide residual networks

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:06:50.286779Z

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Pith citing papers

Observation 4bd62995-7503-4049-a2cb-c71a53615b64 · inbound

Uncertainty Estimation by Human Perception versus Neural Models cites this paper.

Uncertainty Estimation by Human Perception versus Neural Models CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment

Reference 23

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Observation a496416e-71ca-4569-9d1a-6d7339cc7e1c · inbound

FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration cites this paper.

FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment

Reference 22

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