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Paper Citation Record · LEDGER

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning

As of 7 August 2026, this Paper Citation Record lists 100 of 181 outbound references and 0 inbound Pith citation observations for arXiv:2508.07556.

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

pith.paper-citation-record.v1
2508.07556 v2

Coverage vector

measured 100 of 181 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:09:06.536984Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 181 outbound references displayed

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  • verified fuzzy0
  • unresolved93
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2588ae82-6377-4c11-9ddd-7d40d9a87504 · outbound

This paper cites write newline.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning write newline

Reference 1

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Observation 17389bc0-e0f7-4796-ba7e-cdd0bd4fe06f · outbound

This paper cites B., Mironov, I., Talwar, K., and Zhang, L.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning B., Mironov, I., Talwar, K., and Zhang, L

Reference 2

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Observation b23801ac-f949-48bf-94fe-0d2d09e943ed · outbound

This paper cites and Kang, D.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Kang, D

Reference 3

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Observation 08146d21-9dd8-4922-8640-a36ce153d5d7 · outbound

This paper cites Estimating Example Difficulty Using Variance of Gradients.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Estimating Example Difficulty Using Variance of Gradients

Reference 4

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Observation a9b358bf-360e-498a-8ac1-4d0351b63a0e · outbound

This paper cites GluonTS: Probabilistic Time Series Models in Python.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning GluonTS: Probabilistic Time Series Models in Python

Reference 5

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Observation d6f6753d-2ac5-40cb-abd3-43ce0bc9be5e · outbound

This paper cites Concrete Problems in AI Safety.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Concrete Problems in AI Safety

Reference 6

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Observation a54502b5-ad91-470f-94bc-3bfa4706f19f · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 7

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Observation c4814ba8-2fed-4493-a2e1-666f67d87fe7 · outbound

This paper cites an unresolved cited work.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 8

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Observation 768a1bf5-d6ab-4e98-a0ca-1d77049a4866 · outbound

This paper cites Differential privacy has disparate impact on model accuracy.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Differential privacy has disparate impact on model accuracy

Reference 9

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Observation 1c09e3a4-1441-4d24-8b33-b1c669c73096 · outbound

This paper cites Deep learning through the lens of example difficulty.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Deep learning through the lens of example difficulty

Reference 10

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Observation 420543ec-deed-4196-95cc-fc3c43e2ded2 · outbound

This paper cites QSAR fish toxicity.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning QSAR fish toxicity

Reference 11

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Observation be3dc6ad-f7b6-40e1-9725-45d86990faa8 · outbound

This paper cites Window-based distribution shift detection for deep neural networks.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Window-based distribution shift detection for deep neural networks

Reference 12

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This paper cites an unresolved cited work.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 13

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Observation 096f24ce-8859-4cbe-a8c4-53b5110e1c22 · outbound

This paper cites Private empirical risk minimization: Efficient algorithms and tight error bounds.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Private empirical risk minimization: Efficient algorithms and tight error bounds

Reference 14

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Observation bacf6d4b-9a62-47ec-946a-1756d539e0a5 · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Stability of stochastic gradient descent on nonsmooth convex losses

Reference 15

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Observation 2cd17619-f191-4bc1-b98f-85397d5e4510 · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Kohavi, R

Reference 16

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 17

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Observation aa181ce9-b77b-4c22-80b5-39ec1ea3b150 · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 18

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Observation 61fbfcd1-a309-40dd-bed1-30f5375ffd1d · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning T., and Nakkiran, P

Reference 19

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Observation eeecb505-130f-4fac-a7b4-6116de76a96d · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning M., Kucukelbir, A., and McAuliffe, J

Reference 20

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Observation 76511760-408a-4ded-93ce-781794619974 · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Weight uncertainty in neural network

Reference 21

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Observation 31f0f8b7-9311-4b69-8f5c-d78f1e151aae · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Food-101 -- mining discriminative components with random forests

Reference 22

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Honaker, J

Reference 23

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Bagging predictors

Reference 24

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Universally composable security: a new paradigm for cryptographic protocols

Reference 26

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Observation c26e6b50-7528-45d4-b09e-66fd82e5bf8b · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 27

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This paper cites How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks

Reference 28

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Artificial intelligence, bias and clinical safety

Reference 29

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Active bias: Training more accurate neural networks by emphasizing high variance samples

Reference 30

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 31

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Checkpoint Ensembles: Ensemble Methods from a Single Training Process

Reference 32

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning An optimum character recognition system using decision functions

Reference 33

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 34

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Learning with rejection

Reference 35

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy

Reference 36

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Observation cd22ad29-5150-4130-919f-0e895974e4e1 · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Multiparty computation from somewhat homomorphic encryption

Reference 37

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Observation a7da9ccb-4b17-405f-92a1-51a1fd8515d1 · outbound

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Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning A probabilistic theory of pattern recognition, volume 31

Reference 38

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Observation fbc8c30c-24be-4984-9a0b-97d1ce461029 · outbound

This paper cites Retiring adult: New datasets for fair machine learning.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Retiring adult: New datasets for fair machine learning

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Observation f420f56f-e1eb-4c0f-8314-b085819b5b1c · outbound

This paper cites Revisiting the evaluation of uncertainty estimation and its application to explore model complexity-uncertainty trade-off.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Revisiting the evaluation of uncertainty estimation and its application to explore model complexity-uncertainty trade-off

Reference 40

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Observation 0c310f9b-6d1d-4573-85a4-8f7d030f7490 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Calibrating noise to sensitivity in private data analysis

Reference 41

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Observation a275a8aa-ab8d-4052-8d1c-cfb5c63673a6 · outbound

This paper cites The algorithmic foundations of differential privacy.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning The algorithmic foundations of differential privacy

Reference 42

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Observation ab8b7eb9-462e-446f-a16f-5efb500faf4d · outbound

This paper cites $p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning $p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations

Reference 43

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Observation d61fbba1-ebec-42f6-93ee-b129bc0e9c41 · outbound

This paper cites and Wiener, Y.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Wiener, Y

Reference 44

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Observation 4b234b15-045e-48ea-bb85-e7a36644736b · outbound

This paper cites an unresolved cited work.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 45

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Observation 19c2cb5f-3efa-4560-ba55-2b8d78c76ed8 · outbound

This paper cites Statistically valid inferences from privacy protected data.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Statistically valid inferences from privacy protected data

Reference 46

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source=arxiv_source observed=2026-08-05T22:09:00.217891Z digest=sha256:b37925ac9e6e8be400763f9f6d5f235714d29245c2a299f59f235a251f4d2104

Observation 3569c850-9899-4d17-8a5e-4fe9dcb47887 · outbound

This paper cites and Zhang, C.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Zhang, C

Reference 47

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Observation 5e77050b-b2f3-4040-981d-5a2a258b68db · outbound

This paper cites Selective prediction-set models with coverage rate guarantees.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Selective prediction-set models with coverage rate guarantees

Reference 48

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source=arxiv_source observed=2026-08-05T22:09:00.425053Z digest=sha256:087b810ba95f0d5f0814b291cc821c172d45e9128d9275f563def8d3de45ed6c

Observation c9dee8a3-a2b6-48bb-8853-8aaeac1da9ad · outbound

This paper cites O., Hajimirsadeghi, H., and Abdi, A.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning O., Hajimirsadeghi, H., and Abdi, A

Reference 49

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source=arxiv_source observed=2026-08-05T22:09:00.537345Z digest=sha256:d68b50e9fcb68165d97b6ecda456e638649df4853fcb6bb415f642a0ec50a15c

Observation 8c390e58-ae63-46fd-a204-01853412c059 · outbound

This paper cites Parametric bootstrap for differentially private confidence intervals.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Parametric bootstrap for differentially private confidence intervals

Reference 50

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source=arxiv_source observed=2026-08-05T22:09:00.702244Z digest=sha256:2c1a6aa99aa8d0812f64c41f88dd9a5a1119c212c32d8cc3ec49234051455035

Observation f1e5cd3a-3ea5-4424-959c-8647779a6640 · outbound

This paper cites Conformal prediction: a unified review of theory and new challenges.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Conformal prediction: a unified review of theory and new challenges

Reference 51

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source=arxiv_source observed=2026-08-05T22:09:00.812046Z digest=sha256:23c2b85d455cbc9a77635c07833a35fa8ea3be57ca2efc3d29e2b567304c19cd

Observation 7ad366de-d175-4a6a-b1c2-b72dc07a4141 · outbound

This paper cites A., Thomas, M.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning A., Thomas, M

Reference 52

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source=arxiv_source observed=2026-08-05T22:09:00.950003Z digest=sha256:96cdb3cdd99d0d3f4dbacbeeedc0875f24779e4bb4e3e7aa7772a431ccfdc731

Observation 44f14ab4-aa22-4fd8-bd31-812a6c9ba466 · outbound

This paper cites Constant-overhead zero-knowledge for RAM programs.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Constant-overhead zero-knowledge for RAM programs

Reference 53

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source=arxiv_source observed=2026-08-05T22:09:01.082252Z digest=sha256:289111ad1b5a34d8224d1ec98dd42fc976d63a467fdb3b363d49d50ce6ca3bd5

Observation 98a4f762-dafe-4c25-8cd5-9813df480409 · outbound

This paper cites and Ghahramani, Z.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Ghahramani, Z

Reference 54

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source=arxiv_source observed=2026-08-05T22:09:01.231687Z digest=sha256:02f2f36a5afd6655a01e9b3893212bc4af6ec7b7a8ceec63c716afa72830406f

Observation 0879f3e1-69df-49d3-bf86-8315968bae00 · outbound

This paper cites an unresolved cited work.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-08-05T22:09:01.389001Z digest=sha256:c427e86ede95743ae9155d5d7a22414416a9f13d9d16e277e91b388d04690153

Observation 243a9311-7017-4fcb-b971-337c60647564 · outbound

This paper cites What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers

Reference 56

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source=arxiv_source observed=2026-08-05T22:09:01.501182Z digest=sha256:8b6212d1aacf74789b75e09cc34941224bae4806a25c8c9816ea7160f9410533

Observation ad65650b-277b-4d18-8249-52907c636044 · outbound

This paper cites Selective classification via one-sided prediction.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Selective classification via one-sided prediction

Reference 57

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Observation 71b6a507-0b33-41b4-a981-ac19a3738749 · outbound

This paper cites Experimenting with zero-knowledge proofs of training.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Experimenting with zero-knowledge proofs of training

Reference 58

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source=arxiv_source observed=2026-08-05T22:09:01.738244Z digest=sha256:1e57c9dfedf7c7d325b8a9dfb5dcf4138cc011cc5c6711a796c9f09860dfc767

Observation 5bdd2810-0627-43f8-9ca8-dff534d4b57a · outbound

This paper cites an unresolved cited work.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 59

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source=arxiv_source observed=2026-08-05T22:09:01.848651Z digest=sha256:813501c8a9d513db01e481e27ac9b4ba59379010774cb56af4a803b7283d2897

Observation 54a6a194-f095-4988-9edd-e53060203cde · outbound

This paper cites and El-Yaniv, R.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and El-Yaniv, R

Reference 60

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source=arxiv_source observed=2026-08-05T22:09:01.937486Z digest=sha256:d490af4df5a407964c3daf107d392c54b5548b6b8ce94ada8532fcb987625964

Observation 9519513a-4674-4dde-8233-4571325dc77c · outbound

This paper cites and El-Yaniv, R.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and El-Yaniv, R

Reference 61

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source=arxiv_source observed=2026-08-05T22:09:02.089591Z digest=sha256:1143bd7f92f7f013e3d52aaa58b2d829d8c011a6f636a7afe667d33f2830950e

Observation b3f851fe-f4b3-4c85-93ef-5e47495f0eed · outbound

This paper cites Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers

Reference 62

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source=arxiv_source observed=2026-08-05T22:09:02.194504Z digest=sha256:e79e42d59c8f67373174716d27442bd8f9b762619ba527fe73197dd1c6f5e77c

Observation f377fbb0-9a78-47c8-9f85-e850092ae237 · outbound

This paper cites an unresolved cited work.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 63

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Observation 78c6c3bc-cf26-4b0e-b3d5-5d956a923e4b · outbound

This paper cites Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Reference 64

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source=arxiv_source observed=2026-08-05T22:09:02.441543Z digest=sha256:93ac119a189de898e0c7660bcfe7adbca235f7a4a15526d520215302489d6cb1

Observation 8ec227d5-3a64-4d42-83e3-6d2274fc55b1 · outbound

This paper cites and Raftery, A.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Raftery, A

Reference 65

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source=arxiv_source observed=2026-08-05T22:09:02.549297Z digest=sha256:2e88b8b662538d0d42f90424a4be15240fe7af40b34fe88f1c1ea5722fa9fc4c

Observation 717ba340-4ab0-4319-a922-acbbcff83700 · outbound

This paper cites The knowledge complexity of interactive proof-systems.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning The knowledge complexity of interactive proof-systems

Reference 66

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source=arxiv_source observed=2026-08-05T22:09:02.650361Z digest=sha256:885f11062e9ee9a5b890bf36429b506667704abc0cebbf7e5fb5cc9fba828cf3

Observation dc2716a5-3693-43eb-921f-76a9dcfa7855 · outbound

This paper cites When does a predictor know its own loss?.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning When does a predictor know its own loss?

Reference 67

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source=arxiv_source observed=2026-08-05T22:09:02.735014Z digest=sha256:c7c6c0d32151baf0a8fa63a2be45bac622505e1afbe5bcd81c28dc5d349e3a76

Observation eb4a9f3f-db75-4c51-8390-5a24bf6f9598 · outbound

This paper cites Bounded-abstaining classification for breast tumors in imbalanced ultrasound images.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Bounded-abstaining classification for breast tumors in imbalanced ultrasound images

Reference 68

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source=arxiv_source observed=2026-08-05T22:09:02.831425Z digest=sha256:fb62b457b9e4d22f03caaf84817f0f6b9c4b9b10d26995e842abaa9de72e1b8b

Observation f06edfc5-0386-4aaa-af76-c83849c75a42 · outbound

This paper cites an unresolved cited work.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 69

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Observation 62188da6-5e59-4775-9e6d-7193795a6fc8 · outbound

This paper cites Scalable zero-knowledge proofs for non-linear functions in machine learning.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Scalable zero-knowledge proofs for non-linear functions in machine learning

Reference 70

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source=arxiv_source observed=2026-08-05T22:09:03.095926Z digest=sha256:bd81336a415243a24f24dae1e95bd8ebe553e68b4588747fba5df39238fa7832

Observation 359fe3f6-0bcc-4414-acd1-920657856b19 · outbound

This paper cites Equality of opportunity in supervised learning.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Equality of opportunity in supervised learning

Reference 71

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source=arxiv_source observed=2026-08-05T22:09:03.231517Z digest=sha256:0e3465e5c74c2c5aa305ee5885d0e01f6897e8f8f457a3bec9a7a53cfc7a3e31

Observation aa2c33a4-2d2a-46de-8377-f6d072b332a3 · outbound

This paper cites Train faster, generalize better: Stability of stochastic gradient descent.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Train faster, generalize better: Stability of stochastic gradient descent

Reference 72

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source=arxiv_source observed=2026-08-05T22:09:03.394315Z digest=sha256:d23233b7a57ab55c7578be10dd5fcac9e2b16cc22e2fca3894d22b8ae6e8a215

Observation 3edc1579-35a1-4af0-a11f-1a467b386c9b · outbound

This paper cites Deep residual learning for image recognition.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Deep residual learning for image recognition

Reference 73

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source=arxiv_source observed=2026-08-05T22:09:03.488323Z digest=sha256:ffde51f3447c0ecc136902a7a4ee0f143e95e13cdfa33c5560a45a682bc4762f

Observation e9de5940-b7b1-415e-9d03-b97fe7e9c026 · outbound

This paper cites Multicalibration: Calibration for the (computationally-identifiable) masses.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Multicalibration: Calibration for the (computationally-identifiable) masses

Reference 74

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source=arxiv_source observed=2026-08-05T22:09:03.607140Z digest=sha256:1be979adb5ab52cce0907110770f7bbee9e15e2844cf8b995f688bca3d064a30

Observation d6431d99-d673-4fc1-ab72-e09da5342324 · outbound

This paper cites and Dietterich, T.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Dietterich, T

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source=arxiv_source observed=2026-08-05T22:09:03.732815Z digest=sha256:4ac1ef3b2f253d875488e8bdf4a16608628e3e47e9fe6c8db7bbc680f779da91

Observation 41926687-1035-4403-b672-f0f9b0b5a61f · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 76

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source=arxiv_source observed=2026-08-05T22:09:03.827040Z digest=sha256:07faf5e8a0bdd4789be2cde8bfe7ef85440ab57dc6ad3c6ea2d328e73bda98ff

Observation 5509472d-2c41-4997-9a39-985e968a2a5f · outbound

This paper cites Scaling Out-of-Distribution Detection for Real-World Settings.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Scaling Out-of-Distribution Detection for Real-World Settings

Reference 77

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source=arxiv_source observed=2026-08-05T22:09:03.967457Z digest=sha256:f13198e5db53da062e1bfd0d7782662001f5b2c462d09a5af7cf52e93c876cf3

Observation 2bd2fd55-b67d-4796-98ea-48a460dd7765 · outbound

This paper cites Statlog (German Credit Data).

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Statlog (German Credit Data)

Reference 78

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source=arxiv_source observed=2026-08-05T22:09:04.072670Z digest=sha256:ddff0a110f17e47c008d396caceaf5a4fd17575162a7b1f3d00c4d301299876d

Observation 7d9d0386-5dd7-48a9-a5b8-9cd7ba88c11f · outbound

This paper cites What Do Compressed Deep Neural Networks Forget?.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning What Do Compressed Deep Neural Networks Forget?

Reference 79

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source=arxiv_source observed=2026-08-05T22:09:04.257495Z digest=sha256:10f9397f5a546218990d3d31eb19ddf23c22a07412cf171ee4f0b09aa0c1998a

Observation 8d42dfdb-1456-417f-8b72-06b46892e9a5 · outbound

This paper cites Detection of traffic signs in real-world images: The G erman T raffic S ign D etection B enchmark.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Detection of traffic signs in real-world images: The G erman T raffic S ign D etection B enchmark

Reference 80

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source=arxiv_source observed=2026-08-05T22:09:04.389589Z digest=sha256:37c5652edf308fc59b25d22d2f05ead4334f660905f67ec9d864e50a6f85dd0e

Observation 6155a033-d773-4360-99ef-ec6b960852ea · outbound

This paper cites Snapshot Ensembles: Train 1, get M for free.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Snapshot Ensembles: Train 1, get M for free

Reference 81

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source=arxiv_source observed=2026-08-05T22:09:04.494839Z digest=sha256:25fe1c2318cdc848914b1aa86e1896b2ee34f7f06e3a22b5b257d3a761a97096

Observation 2cf88dd7-e521-4150-858b-18813dc45c1d · outbound

This paper cites Self-adaptive training: beyond empirical risk minimization.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Self-adaptive training: beyond empirical risk minimization

Reference 82

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source=arxiv_source observed=2026-08-05T22:09:04.597726Z digest=sha256:a265c6332bd99e7e72d102cc07352dac4f2ca8d0f9b99b6138a8d8edf7090572

Observation 882d2c0a-09be-4769-8230-0280839fba30 · outbound

This paper cites and Waegeman, W.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Waegeman, W

Reference 83

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source=arxiv_source observed=2026-08-05T22:09:04.724499Z digest=sha256:0c38c8e125946d50bb169cdf61e2ccd0aba2da435f428d53341707bd0f274dc0

Observation 6b7aacb5-1fbb-4388-bc7a-3e6f11f45d77 · outbound

This paper cites forecasting with exponential smoothing.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning forecasting with exponential smoothing

Reference 84

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source=arxiv_source observed=2026-08-05T22:09:04.855194Z digest=sha256:6c147d42e8f05743877d1aa698690e1b6f220fb8b203208a0c6f8073036b95cb

Observation 5b73c1e0-f63e-47e5-a34c-fe7a4125ba5c · outbound

This paper cites Assessing Generalization of SGD via Disagreement.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Assessing Generalization of SGD via Disagreement

Reference 85

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source=arxiv_source observed=2026-08-05T22:09:04.978947Z digest=sha256:438e8a503d56d05b3819313de71496b9dd9a7f8aa53b350c61554cb906755de6

Observation 2208ee97-90fd-49a4-bdcc-2f5bf529d43a · outbound

This paper cites D., and Yuan, B.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning D., and Yuan, B

Reference 86

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source=arxiv_source observed=2026-08-05T22:09:05.090503Z digest=sha256:0f50a1cf5d70499c83f99ccc2838fc5170efc2ad4bd4cc73db67a1d0c7bd14f4

Observation 38efee1e-da5b-4f33-ae1e-08bd295cf146 · outbound

This paper cites Characterizing Structural Regularities of Labeled Data in Overparameterized Models.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Characterizing Structural Regularities of Labeled Data in Overparameterized Models

Reference 87

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source=arxiv_source observed=2026-08-05T22:09:05.177719Z digest=sha256:c77c7e9832ddcd304b9585bcdfd91fa21cee12d3ad48bee66a6a66eef1932e57

Observation 5a7c0dda-d1ff-4cc3-b978-98f70a902246 · outbound

This paper cites Selective Classification Can Magnify Disparities Across Groups.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Selective Classification Can Magnify Disparities Across Groups

Reference 88

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source=arxiv_source observed=2026-08-05T22:09:05.298159Z digest=sha256:9d14563dab25da7df1948bb5d3ed2d678b4c7bd1ab141799a0c328d767db9d0c

Observation 552cbe49-524e-4b43-9b37-8a6bb2d60289 · outbound

This paper cites Finite Sample Differentially Private Confidence Intervals.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Finite Sample Differentially Private Confidence Intervals

Reference 89

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source=arxiv_source observed=2026-08-05T22:09:05.438486Z digest=sha256:db0ee592ea9aeb4073861a952447b93935ffe43d9847c897e1fcddc3502dfbfc

Observation 705eb9b2-f516-4fd2-9329-29f758272e70 · outbound

This paper cites Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings

Reference 90

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source=arxiv_source observed=2026-08-05T22:09:05.544493Z digest=sha256:a78d34028398eef691b7a6c86f229fb80f071341d0e06cceb7b7d440e17c429a

Observation 855dd36a-81e8-45c9-ac1e-e25c9e94aea7 · outbound

This paper cites Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents

Reference 91

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source=arxiv_source observed=2026-08-05T22:09:05.655499Z digest=sha256:2cded7b2b9260284ee1130d0b748ca6eb7f72f744ee69490a6176f2c16f3f852

Observation b2d840be-9855-49cc-8136-972d7cb8125a · outbound

This paper cites W., Sagawa, S., Marklund, H., Xie, S.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning W., Sagawa, S., Marklund, H., Xie, S

Reference 92

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source=arxiv_source observed=2026-08-05T22:09:05.826250Z digest=sha256:bac16701b99e269dd010cde92d183085e6b4800d114f605bb4455df71d193d87

Observation 2c1298f6-a057-42cf-a13b-d588d276e3f3 · outbound

This paper cites an unresolved cited work.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Unresolved cited work

Reference 93

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source=arxiv_source observed=2026-08-05T22:09:05.905134Z digest=sha256:ebacdc905d1beb7013c7339fa1100a0085b42197654cdc7953d14cbd81024c03

Observation cacc43fc-9dbe-4c74-a636-3677f75c806b · outbound

This paper cites Empirical data drift detection experiments on real-world medical imaging data.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Empirical data drift detection experiments on real-world medical imaging data

Reference 94

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source=arxiv_source observed=2026-08-05T22:09:05.978033Z digest=sha256:2c536a9dc274467738a953dcd8376efd00025f3110625adaacb7aaa44b32799b

Observation 014d4293-e153-445d-8bd0-c22f132f610e · outbound

This paper cites and Arce, G.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning and Arce, G

Reference 95

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source=arxiv_source observed=2026-08-05T22:09:06.075619Z digest=sha256:8044601b826600d4c74ba2a04410b0ae1980174de825d93e8ad5a2556ea0a9c6

Observation 8ca9410f-7e2b-4880-890e-b675fc8c7f23 · outbound

This paper cites 3d object representations for fine-grained categorization.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning 3d object representations for fine-grained categorization

Reference 96

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source=arxiv_source observed=2026-08-05T22:09:06.157381Z digest=sha256:5f5a55b37de5b1f1cc9c2c9e5c3e4b23c09cf16138d16b6916d71fabef30769d

Observation f45e8647-4c22-4f20-9757-90ff7bd9a10e · outbound

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

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Learning multiple layers of features from tiny images

Reference 97

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source=arxiv_source observed=2026-08-05T22:09:06.274599Z digest=sha256:0b336e3a87d2c791840a728a80477a7c1fb5462de2a6c4b1d28dbd697bf76fab

Observation 4ca12ebe-1c2b-4428-ad85-960f504a264d · outbound

This paper cites Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration.

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration

Reference 98

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source=arxiv_source observed=2026-08-05T22:09:06.373310Z digest=sha256:9831f192c8faf40653b29f8be6c18ce5c51f65890d47fb37e36a7cbab9c91d3e

Observation f5fd0f72-a926-457e-ade5-6fd03a259731 · outbound

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

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 99

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source=arxiv_source observed=2026-08-05T22:09:06.492069Z digest=sha256:0f77fdee6e58e2a075c4c5b7cc9ccdc5f6861b8d3711ee787ad594dc35bb9a06

Observation 88c86f60-c635-4a43-96fa-bcbdaaadd0b1 · outbound

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

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 100

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source=arxiv_source observed=2026-08-05T22:09:06.536984Z digest=sha256:49ee9e49d7b79c27c9e6c93fe8b7d8518bc025d5f6e32d3c991225444ef7623f

Pith citing papers

No inbound Pith citation observations are available.