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Paper Citation Record · LEDGER

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration

As of 22 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2412.13695.

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

pith.paper-citation-record.v1
2412.13695 v2

Coverage vector

measured 77 of 77 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

77 of 77 outbound references displayed

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External citation measurements

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Outbound references

Observation 682f820f-3503-4d33-a633-09336214f3ed · outbound

This paper cites Aleatoric and epistemic uncer- tainty in machine learning: an introduction to concepts and meth- ods,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Aleatoric and epistemic uncer- tainty in machine learning: an introduction to concepts and meth- ods,

Reference 1

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Observation 79552d74-91de-409d-b72a-238ec90da213 · outbound

This paper cites Systems and methods for detecting traffic lights,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Systems and methods for detecting traffic lights,

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Observation 1237a3f1-25a4-4250-b96d-b5b6d1ac176c · outbound

This paper cites Vision-based machine learning model for autonomous driving with adjustable virtual camera,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Vision-based machine learning model for autonomous driving with adjustable virtual camera,

Reference 3

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Observation 5f3ed767-8263-4f70-b234-1a5123a80c54 · outbound

This paper cites Neural network trajectory prediction,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Neural network trajectory prediction,

Reference 4

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Observation de2bc452-4b37-4137-9638-152f3c5c5f79 · outbound

This paper cites Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield,

Reference 5

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This paper cites Obtaining Well Calibrated Probabilities Using Bayesian Binning,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Obtaining Well Calibrated Probabilities Using Bayesian Binning,

Reference 6

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Observation 001d828f-e46a-43c1-b2bd-53c54bb38154 · outbound

This paper cites On the Calibration of Un- certainty Estimation in LiDAR-based Semantic Segmentation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On the Calibration of Un- certainty Estimation in LiDAR-based Semantic Segmentation,

Reference 7

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Observation b306acb5-6c98-4d67-a2f0-d4971eb82b87 · outbound

This paper cites A mathematical theory of communication,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration A mathematical theory of communication,

Reference 8

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Observation 7572af76-d01c-4f08-85b3-7f664840fb3a · outbound

This paper cites Time-dynamic estimates of the reliability of deep semantic segmentation networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Time-dynamic estimates of the reliability of deep semantic segmentation networks,

Reference 9

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Observation fc338222-97a0-4563-ba06-7d199474ff93 · outbound

This paper cites Decoupling of neural network calibration measures,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Decoupling of neural network calibration measures,

Reference 10

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Observation 8faccd4c-e410-43ae-89b4-f41db0fd2ea9 · outbound

This paper cites Parameterized temperature scaling for boosting the expressive power in post-hoc uncertainty cali- bration,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Parameterized temperature scaling for boosting the expressive power in post-hoc uncertainty cali- bration,

Reference 11

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Observation 04e660af-782e-4f30-8089-ae2a031785d3 · outbound

This paper cites Physics-Informed Computer Vision: A Review and Perspectives,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Physics-Informed Computer Vision: A Review and Perspectives,

Reference 12

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On calibration of modern neural networks,

Reference 13

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Unresolved cited work

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Observation 070a0cfb-669a-4838-9c89-f090329ca799 · outbound

This paper cites Calibrating language models with adaptive temperature scaling,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Calibrating language models with adaptive temperature scaling,

Reference 15

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Mix-n-Match: ensemble and compositional methods for uncertainty calibration in deep learning,

Reference 16

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Observation 244eb41c-69bb-4599-82d6-751ad39dae30 · outbound

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Sample- dependent adaptive temperature scaling for improved calibration,

Reference 17

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Auto-Encoding Variational Bayes

Reference 18

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration ATS: Adap- tive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods,

Reference 19

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Rudolph, J

Reference 20

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Observation 325f437a-4d54-46ed-8407-5f51a4e3f45c · outbound

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Upton and I

Reference 21

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Observation 8ff2fb91-4c57-42f6-8c7e-4838567a7524 · outbound

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration A survey of uncertainty in deep neural networks,

Reference 22

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles,

Reference 23

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Seg- mentation,

Reference 24

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Efficient multi- task uncertainties for joint semantic segmentation and monocular depth estimation,

Reference 25

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Diffraction Theory of the Knife-Edge Test and its Improved Form, The Phase-Contrast Method,

Reference 26

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Beugungstheorie des schneidenver-fahrens und seiner verbesserten form, der phasenkontrastmethode,

Reference 27

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On the circle polynomials of Zernike and related orthogonal sets,

Reference 28

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Adaptive optics: Neural network wavefront sensing, reconstruction, and prediction,

Reference 29

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Image-based wavefront sensing for astronomy using neural networks,

Reference 30

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Adaptive Optics for the ESO Very Large Telescope,

Reference 31

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Adaptive optics for high-resolution imaging,

Reference 32

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Physics-Driven Turbulence Image Restoration with Stochastic Refinement,

Reference 33

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Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration An Image is Worth 16x16 Words: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. XX, NO. X, APRIL 2025 15 Transformers for Image Recognition at Scale,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.477748Z digest=sha256:67921582de934fb8fe2a3eea3a45c819d328bfafaa7ab2d64dca2439acc3eebe

Observation f6976735-ce22-4a3c-a734-173cfb34879c · outbound

This paper cites A New Coefficient of Correlation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration A New Coefficient of Correlation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.685727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.480958Z digest=sha256:42f44d220ffcaf26f224b04b916a398e1b5cfd298bc0a1e3d5710d039b35e75c

Observation e72b9b20-432c-494c-9fc1-04a51f95f38d · outbound

This paper cites On the power of Chatterjees rank correlation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On the power of Chatterjees rank correlation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.676134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.484095Z digest=sha256:6975e31f88705fbb4c0804859e4e94939673e2cb09eee1a61366daeb56692990

Observation 21f22643-d764-406b-b5d4-35472c6a527f · outbound

This paper cites Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient,

Reference 37

Resolution
verified exact
raw_fallback, observed 2026-08-11T12:57:44.165928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.487687Z digest=sha256:2555c2e1f79d6f4557b3804e1f37556e2da2298f0c7fc607fc16cc8388c410dd

Observation 87e75e68-f314-4b17-b558-c2ee0862ef9e · outbound

This paper cites an unresolved cited work.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:57:44.665911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.491393Z digest=sha256:7fe5ac0d6dfaa567d757f974a3fa00bea72ef74d3e38fec8da8cbd71b5f97e08

Observation 91f1e306-6ec3-4228-ae4e-627e43ec46a2 · outbound

This paper cites Physiological Control Systems : Analysis, Simulation, and Estimation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Physiological Control Systems : Analysis, Simulation, and Estimation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.656264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.494474Z digest=sha256:d9f8982107634f6d32abb2109989c03f14b2c793072d602c11d52d02f395135c

Observation dbff3e20-aebb-4e4f-ba4a-d3d818c52916 · outbound

This paper cites Calibration of transient groundwater models using time series analysis and moment matching,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Calibration of transient groundwater models using time series analysis and moment matching,

Reference 40

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T12:57:44.645800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.497708Z digest=sha256:9d92875969d21ffbcb023dd19dd3f26ad015d515f1795128aed14cbf0f673d38

Observation dcf3d2c3-f26f-4cd5-adb6-cf19bd04634f · outbound

This paper cites MTF as a performance indicator for AI algorithms?.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration MTF as a performance indicator for AI algorithms?

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.635335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.500912Z digest=sha256:5a08e9850ab629646778bcb2e49bf051949ceefa49b609a6da9a7411766fcac3

Observation f59dcc1f-db9a-406b-9678-9c3244e0890e · outbound

This paper cites Principles of Harmonic Analysis,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Principles of Harmonic Analysis,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.624017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.504339Z digest=sha256:2ebeb835a079818e7dd3012de1a8a0c489cb0f1ad2db35473e51b2a72c2115b4

Observation ff22110f-4d4d-4837-abdb-d5fe591c3ae7 · outbound

This paper cites Image Segmentation Using Deep Learning: A Survey.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Image Segmentation Using Deep Learning: A Survey

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:57:44.087711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.507681Z digest=sha256:cdbd7a96b79750bf1eac8d824e52d2b7a3c6b61c242f66a510041180ecf00fa8

Observation e30a40a7-1019-49c2-a825-0f8b98b9ea2b · outbound

This paper cites Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.614035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.511385Z digest=sha256:5a052eb601e594cba66bd1f3b691e01d51a73ea97cba7e7213f222a64d2a017e

Observation 615c0935-1622-4679-81f6-bc86f5fc8371 · outbound

This paper cites Weiss, P.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Weiss, P

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.604238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.514875Z digest=sha256:64129d009e7e1fb0faa2ac42e3b808e3f03bd54cb9018f5aa6f2fce6b27f1313

Observation ab4af41c-3360-4844-81ec-e2360fccba25 · outbound

This paper cites Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmo- spheric Turbulence Model,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmo- spheric Turbulence Model,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.594927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.518037Z digest=sha256:f5f15323557adadfe0127dd88a5919bcea402dcf8f1059261366b011a7e13089

Observation 9c7ee16b-ff74-494a-b4f0-59081cedcc43 · outbound

This paper cites Novel developments of refractive power measurement techniques in the automotive world,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Novel developments of refractive power measurement techniques in the automotive world,

Reference 47

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T12:57:44.584607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.521340Z digest=sha256:00c0dc533df38f7e74f120ac74404cdff889772c08596a56ce34b1fce8b3f73c

Observation f004c38b-5cca-4217-813f-8b199d19d52f · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Deep Residual Learning for Image Recognition,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.574751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.524764Z digest=sha256:74bdc306aa00fa948b54d8dfc25e1189d1bf04446b17dd8f85357586709674b5

Observation e318652d-4dfd-41ea-a24b-fdd8bd5f6ea0 · outbound

This paper cites Residual networks behave like ensembles of relatively shallow networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Residual networks behave like ensembles of relatively shallow networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.565112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.528134Z digest=sha256:2a9c39af10c47a25b7f89190568812817a25fbce40ba707bbccd2fa677b139ea

Observation 55107d6a-3ff3-4058-849c-51534e0a46f9 · outbound

This paper cites Norm-Preservation: Why Residual Networks Can Become Extremely Deep?.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Norm-Preservation: Why Residual Networks Can Become Extremely Deep?

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.555766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.531431Z digest=sha256:488b84c1643f3d6075eb611564c6d847a35b537c788ab7c49a79c984b8b24c70

Observation 2a9896e0-3496-4371-84e8-46128340f581 · outbound

This paper cites A2D2: Audi Autonomous Driving Dataset,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration A2D2: Audi Autonomous Driving Dataset,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.546206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.534821Z digest=sha256:be4b09500eb3b32249016893de0634731f82c02fda248a21b79ecc055d155a70

Observation 9b2892f1-105e-433b-b009-55e93dc9e576 · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration The Cityscapes Dataset for Semantic Urban Scene Understanding,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.536496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.538174Z digest=sha256:e9237cbc36b590554fa2f5dffaa8f90a9997b1a2830e36c9faadaa72dc897caa

Observation f62fd3bd-bafb-4dde-a137-b6fdaf7fb47c · outbound

This paper cites Focal Loss for Dense Object Detection,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Focal Loss for Dense Object Detection,

Reference 53

Resolution
malformed identifier
no resolver link, observed 2026-08-11T12:57:43.541770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:43.541770Z digest=sha256:551a68d089e1f310a70a539d9da15d1f1976030e072885c5e6305d609ed2e68a

Observation 6b148f32-0402-4736-8ecd-d899e8b51c33 · outbound

This paper cites Loss Functions for Image Restoration With Neural Networks,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Loss Functions for Image Restoration With Neural Networks,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.526738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.545231Z digest=sha256:eddb9020b7975b3522929ac112bb0e9236c12fd0b9b258003a8a30642365160b

Observation 8c3047b8-4c08-4e09-b2ba-114e224c3dbb · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.516906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.548583Z digest=sha256:e594559f95ec79abd62ba12bfe6c7debf1b48d333b4764c4258c25f1c9b2c172

Observation f450c769-884f-4399-aae6-8d575dc78548 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Gaussian Error Linear Units (GELUs)

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:43.551936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:43.551936Z digest=sha256:3d025c0f022e13a6a3b3bf71b3b804e1e5c71492ca177c3938b1396158eae393

Observation 6b490917-f36e-4215-983e-87a0d35fa73e · outbound

This paper cites Rectified linear units improve restricted Boltzmann machines,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Rectified linear units improve restricted Boltzmann machines,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.507003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.555668Z digest=sha256:04f94085303c6180c4cfcfc0673b95c4e2255ca4f3db606e67495378bd7da04f

Observation a326e542-7ef6-407c-84a6-19252466c47a · outbound

This paper cites Lecture Notes on Machine Learning: Neurons with Non-Monotonic Activation Functions,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Lecture Notes on Machine Learning: Neurons with Non-Monotonic Activation Functions,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.496911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.559091Z digest=sha256:964c8ad758c7ffa1b3ef044b5cf0d1b9e8c7cb6d0d5c5de728cbbec14c16eb0e

Observation 933b7cb7-1739-4774-93be-e6f946ce3463 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:43.562459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:43.562459Z digest=sha256:28da0a47198b3920da6365b267d24e35a8a43a1362b6c3c387eb04c479ccc78c

Observation 2c8b7c5d-f02e-450f-a103-9ce6d16511d4 · outbound

This paper cites Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.486573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.566304Z digest=sha256:3d4ee92dd96c1ca400fb3cc6ee52f48e8819c01dbcef4c34c5af4ab9332aae5f

Observation 49b95986-0bbd-4bd0-9fda-8460dbe31105 · outbound

This paper cites Deep Optics for Monocular Depth Es- timation and 3D Object Detection,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Deep Optics for Monocular Depth Es- timation and 3D Object Detection,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.476647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.569609Z digest=sha256:292e35cb183aeb14b43c4bf7c80ef86626b617bc4e1a830a4686dfa1741224d4

Observation 9674e0f5-86a9-40a8-8a09-ce3880d1bde2 · outbound

This paper cites Differen- tiable Compound Optics and Processing Pipeline Optimization for End- to-end Camera Design,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Differen- tiable Compound Optics and Processing Pipeline Optimization for End- to-end Camera Design,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:43.572976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:43.572976Z digest=sha256:1b938ddfa879068d0573699bab498b5371cfd2515a31fe6a50ba343e14615470

Observation ca5d7835-f3ed-43c4-9a79-81d78ba29602 · outbound

This paper cites Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification,

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:43.576352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:43.576352Z digest=sha256:222b4b18ff82f3f34c611fc1b77230b3b1f0c3c8631a1e126cb5d2f9807f7270

Observation 9cf13000-a026-4abf-b7ea-be3af6a2a5c3 · outbound

This paper cites GUM-compliant neural network robustness verification,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration GUM-compliant neural network robustness verification,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.466776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.579763Z digest=sha256:6fa4f317a56f1b87e8a1ccc323bb8f65d5b3e0810785c8736fbbae0cec54cf2f

Observation 9ae88dae-b7ea-484f-9f63-90c7f57e968c · outbound

This paper cites Introduction to Monte Carlo simulation,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Introduction to Monte Carlo simulation,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.456999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.583074Z digest=sha256:d4bd03cc2b4bba0b12658ead8a3166ea755f529954c834d26ad21d9915702ab7

Observation 45bc80dc-e767-4b98-bdc8-76bd93dcabbe · outbound

This paper cites Evaluation of measure- ment data, Guide to the expression of uncertainty in measurement (GUM),.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Evaluation of measure- ment data, Guide to the expression of uncertainty in measurement (GUM),

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.447079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.586390Z digest=sha256:5cffdfa84f66a1d65e25721fadd062269906543e0d1336e17a635c2b9402e3ac

Observation b032a3d0-efc7-41be-9b4c-1238c07d5750 · outbound

This paper cites Pesch, Bestimmung der Messunsicherheit nach GUM, Grundlagen der Metrologie.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Pesch, Bestimmung der Messunsicherheit nach GUM, Grundlagen der Metrologie

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.436659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.589665Z digest=sha256:9eb9165dc63d97bbc2b4a9cd192d7838705388713ad77cf93359914fbc9db615

Observation 152c1105-05a9-4687-bbe0-116584442cea · outbound

This paper cites an unresolved cited work.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:57:44.426180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T12:57:43.592983Z digest=sha256:7e5b2a56e24053743a15779304b539234cfd65ed220be566894eb0be190df7d4

Observation 477ab114-4350-448f-af40-7c40f803ab07 · outbound

This paper cites Generalizations of Mean Square Error Applied to Ridge Regression,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Generalizations of Mean Square Error Applied to Ridge Regression,

Reference 69

Resolution
verified exact
raw_fallback, observed 2026-08-11T12:57:44.046922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f721a4ec-8221-4d93-8852-a41877493fc3 · outbound

This paper cites Further results on the mean square error of ridge regression,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Further results on the mean square error of ridge regression,

Reference 70

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5aab573c-8565-46d0-8182-b42c609e9fee · outbound

This paper cites Estimating the mean and variance of the target probability distribution,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Estimating the mean and variance of the target probability distribution,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:44.415393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 78bd6f67-938c-4619-90fb-2df711a367cc · outbound

This paper cites Cramér, Mathematical Methods of Statistics.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Cramér, Mathematical Methods of Statistics

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:43.606915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 153f8f29-8715-49ac-b044-ee9344b2301d · outbound

This paper cites Information and the Accuracy Attainable in the Estimation of Statistical Parameters,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Information and the Accuracy Attainable in the Estimation of Statistical Parameters,

Reference 73

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 21035dfd-8c9d-488d-a12f-343655b93c79 · outbound

This paper cites Sur l’extension de certaines evaluations statistiques au cas de petits echantillons,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Sur l’extension de certaines evaluations statistiques au cas de petits echantillons,

Reference 74

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6faa1799-e979-49e7-88c7-7b6fa1269211 · outbound

This paper cites Automotive mass production of camera systems: Linking im- age quality to AI performance,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Automotive mass production of camera systems: Linking im- age quality to AI performance,

Reference 75

Resolution
verified exact
doi, observed 2026-08-11T12:57:43.659354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5ea561ca-dfb7-4f7d-ab08-e05f387d8049 · outbound

This paper cites an unresolved cited work.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-11T12:57:44.381061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e3d045da-65bb-41bb-ae65-6e62a53fb09d · outbound

This paper cites Wavefront aberration measurements based on the Background Oriented Schlieren method,.

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Wavefront aberration measurements based on the Background Oriented Schlieren method,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:43.624629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.