Paper Citation Record · LEDGER

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2412.00278.

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

pith.paper-citation-record.v1
2412.00278 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:40:28.902590Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

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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

22 of 22 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a5bfe85-1e3a-4408-96c0-a1ddcc6c47f4 · outbound

This paper cites Uncertainty in deep learning,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Uncertainty in deep learning,

Reference 1

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Source-reported events for the cited work

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Observation 16a013fb-345e-4b5f-86b5-11535428077c · outbound

This paper cites Probabilistic machine learning and artificial intelli- gence,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Probabilistic machine learning and artificial intelli- gence,

Reference 2

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Observation 0c3b1c5d-88e4-4db4-8506-a990cde22e5c · outbound

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

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:29.183197Z

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Observation d93549f6-9fd4-418b-b7a6-5f86caa5688f · outbound

This paper cites A survey of uncertainty in deep neural networks,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression A survey of uncertainty in deep neural networks,

Reference 4

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Source-reported events for the cited work

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Observation 0e096c50-b52c-48ff-8bc7-a3bb1cc80367 · outbound

This paper cites A review of uncertainty quantification in deep learning: Techniques, applications and challenges,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression A review of uncertainty quantification in deep learning: Techniques, applications and challenges,

Reference 5

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Observation 068257fd-d4b6-4238-90e4-9c6ff26f0eac · outbound

This paper cites Efficient uncertainty estimation in spiking neural networks via mc-dropout,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Efficient uncertainty estimation in spiking neural networks via mc-dropout,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:29.145387Z

Source-reported events for the cited work

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Observation a3bb4c41-e4db-4ee0-bfee-b37335d93b9d · outbound

This paper cites Opportunities for neuromorphic computing algorithms and applications,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Opportunities for neuromorphic computing algorithms and applications,

Reference 7

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Observation 6143b584-b56f-4875-8aef-da6ce7302989 · outbound

This paper cites Dpsnn: Spiking neural network for low- latency streaming speech enhancement,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Dpsnn: Spiking neural network for low- latency streaming speech enhancement,

Reference 8

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Observation 8ffae0b7-5c18-4773-aae0-cd84c7c3094b · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 9

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Source-reported events for the cited work

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Observation 19323035-eab0-44ef-9fa5-ee3bb9d11e32 · outbound

This paper cites Bayesian deep learning and a proba- bilistic perspective of generalization,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Bayesian deep learning and a proba- bilistic perspective of generalization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:29.091637Z

Source-reported events for the cited work

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Observation ab84de5a-755a-4b88-9091-0e609967f548 · outbound

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

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Estimating the mean and variance of the target probability distribution,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:29.077177Z

Source-reported events for the cited work

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Observation d491cc55-18b4-4df1-bfe6-ee128fc6eb22 · outbound

This paper cites Mixture Density Networks,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Mixture Density Networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:29.062571Z

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.

Observation 48fa3845-e966-4a21-afd7-498733bfd0f6 · outbound

This paper cites Regression as clas- sification: Influence of task formulation on neural network features,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Regression as clas- sification: Influence of task formulation on neural network features,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:29.048528Z

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.

Observation a48a61f9-6ff4-47a7-9e1a-8ab426988a68 · outbound

This paper cites Conformal Prediction via Regression-as-Classification.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Conformal Prediction via Regression-as-Classification

Reference 14

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Source-reported events for the cited work

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Observation f93c3495-bc64-4a99-b9f9-54b0db47f5e0 · outbound

This paper cites Colorful image colorization,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Colorful image colorization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:29.034090Z

Source-reported events for the cited work

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Observation 354fca66-3d00-4955-a119-86aaeb29a231 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Deep ordinal regression network for monocular depth estimation,

Reference 16

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Observation 800daac7-8020-42b0-9d5f-e75163cecd56 · outbound

This paper cites Dex: Deep expectation of apparent age from a single image,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Dex: Deep expectation of apparent age from a single image,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:29.010953Z

Source-reported events for the cited work

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Observation 4800a501-fefc-49ce-8f5f-ac1304ce8335 · outbound

This paper cites Lcr-net: Localization- classification-regression for human pose,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Lcr-net: Localization- classification-regression for human pose,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:28.996391Z

Source-reported events for the cited work

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Observation 2a2bd71d-9665-411c-a3a6-595760448d21 · outbound

This paper cites On monocular depth estimation and uncertainty quantification using classification approaches for regression,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression On monocular depth estimation and uncertainty quantification using classification approaches for regression,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:40:28.981304Z

Source-reported events for the cited work

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Observation 9c76c421-c3d3-437b-9dc4-d5171a168840 · outbound

This paper cites Strictly proper scoring rules, prediction, and estimation,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Strictly proper scoring rules, prediction, and estimation,

Reference 20

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Source-reported events for the cited work

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Observation 913c43a6-6913-4839-94dd-d5a1a08f9e5f · outbound

This paper cites Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:40:28.898351Z

Source-reported events for the cited work

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Observation f75ea728-6302-449d-b7ea-0f45a7c4a3b9 · outbound

This paper cites Incorporating learnable membrane time constant to enhance learning of spiking neural networks,.

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression Incorporating learnable membrane time constant to enhance learning of spiking neural networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:40:28.902590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.