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Paper Citation Record · LEDGER

Clustered Randomized Smoothing for Stochastic Prediction Functions

As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2608.12037.

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

pith.paper-citation-record.v1
2608.12037 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:25:02.460110Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

53 of 53 outbound references displayed

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  • verified fuzzy36
  • unresolved14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a4700ad-d337-4499-b094-676f50b9cab8 · outbound

This paper cites Bnn-dp: robustness certification of bayesian neural networks via dynamic programming.

Clustered Randomized Smoothing for Stochastic Prediction Functions Bnn-dp: robustness certification of bayesian neural networks via dynamic programming

Reference 1

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Observation ebe11cc7-84a4-4dfb-88e8-a02def3f63b4 · outbound

This paper cites Data dependent randomized smoothing.

Clustered Randomized Smoothing for Stochastic Prediction Functions Data dependent randomized smoothing

Reference 2

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Source-reported events for the cited work

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Observation 76ce122d-f9aa-4eeb-a4f5-1ee0457152ce · outbound

This paper cites Robust control for dynamical systems with non-gaussian noise via formal abstractions.Journal of Artificial Intelligence Research, 76:341–391, 2023.

Clustered Randomized Smoothing for Stochastic Prediction Functions Robust control for dynamical systems with non-gaussian noise via formal abstractions.Journal of Artificial Intelligence Research, 76:341–391, 2023

Reference 3

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Source-reported events for the cited work

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Observation 3ab8851f-c41f-4073-ac21-055c6e4d46c2 · outbound

This paper cites Singulartrajectory: Universal trajectory predictor using diffusion model.

Clustered Randomized Smoothing for Stochastic Prediction Functions Singulartrajectory: Universal trajectory predictor using diffusion model

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation de41c2ef-a423-4eb4-bd73-a7e77043db50 · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

Clustered Randomized Smoothing for Stochastic Prediction Functions Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c403dc9a-33fa-418d-b21b-dd54c1777d55 · outbound

This paper cites Diffusion policy attacker: Crafting adversarial attacks for diffusion-based policies.Advances in Neural Information Processing Systems, 37:119614–119637, 2024.

Clustered Randomized Smoothing for Stochastic Prediction Functions Diffusion policy attacker: Crafting adversarial attacks for diffusion-based policies.Advances in Neural Information Processing Systems, 37:119614–119637, 2024

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5a306919-a9b0-4e96-88d8-148f6f89cf4b · outbound

This paper cites Detection as regression: Certified object detection with median smoothing.Advances in Neural Information Processing Systems, 33:1275–1286, 2020.

Clustered Randomized Smoothing for Stochastic Prediction Functions Detection as regression: Certified object detection with median smoothing.Advances in Neural Information Processing Systems, 33:1275–1286, 2020

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e863ed22-d032-4ef1-852b-b1da12fb19ca · outbound

This paper cites Certified adversarial robustness via randomized smoothing.

Clustered Randomized Smoothing for Stochastic Prediction Functions Certified adversarial robustness via randomized smoothing

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:25:02.322220Z digest=sha256:7e9e822bac0ba3274d23e8ea5601170d633b08b4ee287512abbb506ae65b49c5

Observation aae3e93f-d254-44a6-a1cd-a833fcc917bf · outbound

This paper cites False data injection on state estimation in power systems—attacks, impacts, and defense: A survey.IEEE transactions on industrial informatics, 13(2):411–423, 2016.

Clustered Randomized Smoothing for Stochastic Prediction Functions False data injection on state estimation in power systems—attacks, impacts, and defense: A survey.IEEE transactions on industrial informatics, 13(2):411–423, 2016

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7674fdde-88ed-47b2-b1ba-dd5b44104e77 · outbound

This paper cites An introduction to variational autoencoders.Foundations and Trends® in Machine Learning, 12(4):307–392, 2019.

Clustered Randomized Smoothing for Stochastic Prediction Functions An introduction to variational autoencoders.Foundations and Trends® in Machine Learning, 12(4):307–392, 2019

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 02118d88-1a48-48ac-aa3d-4988a3434343 · outbound

This paper cites Neuralsat: A high-performance verification tool for deep neural networks.

Clustered Randomized Smoothing for Stochastic Prediction Functions Neuralsat: A high-performance verification tool for deep neural networks

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4c891374-1ba9-48e2-b0b1-fd5578860e09 · outbound

This paper cites On the expressiveness of approximate inference in bayesian neural networks.Advances in Neural Information Processing Systems, 33:15897–15908, 2020.

Clustered Randomized Smoothing for Stochastic Prediction Functions On the expressiveness of approximate inference in bayesian neural networks.Advances in Neural Information Processing Systems, 33:15897–15908, 2020

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cadb2442-a5f8-476f-ad18-54d2bb47143a · outbound

This paper cites Ai2: Safety and robustness certification of neural networks with abstract interpretation.

Clustered Randomized Smoothing for Stochastic Prediction Functions Ai2: Safety and robustness certification of neural networks with abstract interpretation

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 11c6e42d-8301-4d2a-a913-f8472fd20dae · outbound

This paper cites Gaussian process priors with uncertain inputs application to multiple-step ahead time series forecasting.Advances in neural information processing systems, 15, 2002.

Clustered Randomized Smoothing for Stochastic Prediction Functions Gaussian process priors with uncertain inputs application to multiple-step ahead time series forecasting.Advances in neural information processing systems, 15, 2002

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 49caff69-571b-4509-81b3-9bfbfd0e2261 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Clustered Randomized Smoothing for Stochastic Prediction Functions Explaining and Harnessing Adversarial Examples

Reference 15

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Source-reported events for the cited work

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Observation aa4902d8-7332-44e4-a541-0f29fd3d712a · outbound

This paper cites Reluplex: An efficient smt solver for verifying deep neural networks.

Clustered Randomized Smoothing for Stochastic Prediction Functions Reluplex: An efficient smt solver for verifying deep neural networks

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 435388a3-eed3-4054-8d4a-faf507586740 · outbound

This paper cites Certified robustness to adversarial examples with differential privacy.

Clustered Randomized Smoothing for Stochastic Prediction Functions Certified robustness to adversarial examples with differential privacy

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5e1cacbc-32e2-4463-8e66-614548582dc7 · outbound

This paper cites Wasserstein smoothing: Certified robustness against wasserstein adversarial attacks.

Clustered Randomized Smoothing for Stochastic Prediction Functions Wasserstein smoothing: Certified robustness against wasserstein adversarial attacks

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3ca715f8-474d-46cc-80e1-018765458348 · outbound

This paper cites Certified adversarial robustness with additive noise.

Clustered Randomized Smoothing for Stochastic Prediction Functions Certified adversarial robustness with additive noise

Reference 19

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Source-reported events for the cited work

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Observation c1cfcbe5-4283-4f85-802f-c95edddbe371 · outbound

This paper cites Towards robust neural networks via random self- ensemble.

Clustered Randomized Smoothing for Stochastic Prediction Functions Towards robust neural networks via random self- ensemble

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5f1f748d-1c39-4f0f-bcac-2b95bbc12213 · outbound

This paper cites A universal approximation theorem of deep neural networks for expressing probability distributions.Advances in neural information processing systems, 33:3094–3105, 2020.

Clustered Randomized Smoothing for Stochastic Prediction Functions A universal approximation theorem of deep neural networks for expressing probability distributions.Advances in neural information processing systems, 33:3094–3105, 2020

Reference 21

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Observation 2dd91c4a-f5c3-4b83-8325-c5cc65531179 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Clustered Randomized Smoothing for Stochastic Prediction Functions Towards deep learning models resistant to adversarial attacks

Reference 22

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Observation bd90c01d-a96d-4ac1-91dc-476e44949895 · outbound

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Clustered Randomized Smoothing for Stochastic Prediction Functions Unresolved cited work

Reference 23

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Observation 7a46711e-c6b8-4278-b934-167f4402b5da · outbound

This paper cites Uncertainty quantification with statistical guarantees in end-to-end autonomous driving control.

Clustered Randomized Smoothing for Stochastic Prediction Functions Uncertainty quantification with statistical guarantees in end-to-end autonomous driving control

Reference 24

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 272b99f0-cd48-4df8-9ad8-0aa15bd72e2b · outbound

This paper cites Robust construction of the voronoi diagram of a polyhedron.

Clustered Randomized Smoothing for Stochastic Prediction Functions Robust construction of the voronoi diagram of a polyhedron

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cb9ade15-f88c-47a0-85a0-7caabdc32769 · outbound

This paper cites Schumann, Javier Alonso-Mora, Arkady Zgonnikov, and Jens Kober.

Clustered Randomized Smoothing for Stochastic Prediction Functions Schumann, Javier Alonso-Mora, Arkady Zgonnikov, and Jens Kober

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation eeb99b0f-17b9-4a55-befe-2e2df2b01cd7 · outbound

This paper cites Refaat, and Benjamin Sapp.

Clustered Randomized Smoothing for Stochastic Prediction Functions Refaat, and Benjamin Sapp

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4f74d879-5a3b-492f-bb89-ba69666a8764 · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22(57):1–64, 2021.

Clustered Randomized Smoothing for Stochastic Prediction Functions Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22(57):1–64, 2021

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:25:02.386281Z digest=sha256:6c75b53c5c11309b57964c77a5bb3600d1915eccb1cbce98e0631e9829a78031

Observation ab0eab4f-02d8-4d96-a4c9-a670eefa6609 · outbound

This paper cites Boosting the transferability of adversarial attacks with reverse adversarial perturbation.Advances in neural information processing systems, 35:29845– 29858, 2022.

Clustered Randomized Smoothing for Stochastic Prediction Functions Boosting the transferability of adversarial attacks with reverse adversarial perturbation.Advances in neural information processing systems, 35:29845– 29858, 2022

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.998500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 33585b20-0745-455f-9606-11b195bcbcab · outbound

This paper cites Certified adversarial robustness via randomizedα-smoothing for regression models.Advances in Neural Information Processing Systems, 37:134127– 134150, 2024.

Clustered Randomized Smoothing for Stochastic Prediction Functions Certified adversarial robustness via randomizedα-smoothing for regression models.Advances in Neural Information Processing Systems, 37:134127– 134150, 2024

Reference 30

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raw_fallback, observed 2026-08-16T00:25:02.988637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 206d452d-7733-4850-a50e-9c81bc641a31 · outbound

This paper cites Rs-reg: Probabilistic and robust certified regression through randomized smoothing.Transactions on Machine Learning Research, 2025.

Clustered Randomized Smoothing for Stochastic Prediction Functions Rs-reg: Probabilistic and robust certified regression through randomized smoothing.Transactions on Machine Learning Research, 2025

Reference 31

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raw_fallback, observed 2026-08-16T00:25:02.978758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6c7d7e4d-0e68-43f1-888b-504c4cff9086 · outbound

This paper cites Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning.

Clustered Randomized Smoothing for Stochastic Prediction Functions Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:25:02.396064Z digest=sha256:3480f33d05fc394284528ffbe3ada75005c01d62080e83d5c0a29df23de07609

Observation 7bf1a47c-de2a-42bd-a020-133dbff4141e · outbound

This paper cites Predictions of component remaining useful lifetime using bayesian neural network.Progress in Nuclear Energy, 146:104143, 2022.

Clustered Randomized Smoothing for Stochastic Prediction Functions Predictions of component remaining useful lifetime using bayesian neural network.Progress in Nuclear Energy, 146:104143, 2022

Reference 33

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raw_fallback, observed 2026-08-16T00:25:02.968286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5f518b58-a740-4876-8767-ab5892c2f2d6 · outbound

This paper cites Real and complex analysis, 1987.

Clustered Randomized Smoothing for Stochastic Prediction Functions Real and complex analysis, 1987

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.958029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.401331Z digest=sha256:de090e8759436f2146baf67c075a594c015143591a018dd6e803fea4998a51a4

Observation 3ce3562a-3df6-414f-8251-0cdea02cd80c · outbound

This paper cites Provably robust deep learning via adversarially trained smoothed classifiers.Advances in neural information processing systems, 32, 2019.

Clustered Randomized Smoothing for Stochastic Prediction Functions Provably robust deep learning via adversarially trained smoothed classifiers.Advances in neural information processing systems, 32, 2019

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.947890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.403756Z digest=sha256:a10686d8d98075c57b8d44d101212fe3ee99472bddc4ec3c7585e5f8db2689e8

Observation 8f6cbe72-9582-48f5-bbf8-d0785aed356a · outbound

This paper cites Evaluating randomized smoothing as a defense against adversarial attacks in trajectory prediction.arXiv preprint arXiv:2603.10821, 2026.

Clustered Randomized Smoothing for Stochastic Prediction Functions Evaluating randomized smoothing as a defense against adversarial attacks in trajectory prediction.arXiv preprint arXiv:2603.10821, 2026

Reference 36

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:25:02.776260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.406465Z digest=sha256:8aa256a9de389eb9935e6ef961f48b50a8d588a4a45cd228786ca44e1cde0d8a

Observation 9589333a-bf98-408d-a52f-2fcab6e1677c · outbound

This paper cites Schumann, Jeroen Hagenus, Frederik Baymler Mathiesen, and Arkady Zgonnikov.

Clustered Randomized Smoothing for Stochastic Prediction Functions Schumann, Jeroen Hagenus, Frederik Baymler Mathiesen, and Arkady Zgonnikov

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.936666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.409570Z digest=sha256:92a95d6e6f3b2f4311cb957bd3b09b4bb89b4ee49eca58ea430cf06c79e439bd

Observation 3c7ba5d4-1404-495c-b5a5-c2a7f00f8948 · outbound

This paper cites STEP: Structured training and evaluation platform for benchmarking trajectory prediction models.arXiv preprint arXiv:2509.14801, 2025.

Clustered Randomized Smoothing for Stochastic Prediction Functions STEP: Structured training and evaluation platform for benchmarking trajectory prediction models.arXiv preprint arXiv:2509.14801, 2025

Reference 38

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:25:02.670719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.412715Z digest=sha256:28f5c18f1a2ca4f28a46ecb58e202ad9596e01d0f7150829e355ffc62e9bd234

Observation f80fd92e-5700-4264-9535-c1ffbf1ef888 · outbound

This paper cites Smoothguard: Defending multimodal large language models with noise perturbation and clustering aggregation.arXiv preprint arXiv:2510.26830, 2025.

Clustered Randomized Smoothing for Stochastic Prediction Functions Smoothguard: Defending multimodal large language models with noise perturbation and clustering aggregation.arXiv preprint arXiv:2510.26830, 2025

Reference 39

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:25:02.595988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.415722Z digest=sha256:981b529f14b57656c16c68cd2df6eed230bdc61a0b2f1f111ddaeb299a12e420

Observation ea32ac03-90e7-4e32-8b8b-4c5c8639c1ce · outbound

This paper cites Intriguing properties of input-dependent randomized smoothing.

Clustered Randomized Smoothing for Stochastic Prediction Functions Intriguing properties of input-dependent randomized smoothing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.926445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.418938Z digest=sha256:84ee8260f976ee8135e07f77bfbba8d2526eadfa92b0e66fb06ac89af918d12f

Observation eaead8d1-ed69-41c8-9ade-d07ca14eb052 · outbound

This paper cites Nnv: the neural network verification tool for deep neural networks and learning-enabled cyber-physical systems.

Clustered Randomized Smoothing for Stochastic Prediction Functions Nnv: the neural network verification tool for deep neural networks and learning-enabled cyber-physical systems

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.915908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.421953Z digest=sha256:a68b04f2f05cf11f826012636309bb35a0cbb0953bb5d7efe84c4f33c9f3deeb

Observation feb7cebd-b5ab-407b-93dc-d92b087bc710 · outbound

This paper cites Clucert: Certifying llm robustness via clustering-guided denoising smoothing.

Clustered Randomized Smoothing for Stochastic Prediction Functions Clucert: Certifying llm robustness via clustering-guided denoising smoothing

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.905013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.424965Z digest=sha256:e545f674561fb7ba025932d282cab7df934253573559c74daaacd6e51c8c0471

Observation d0eacd47-ccc6-4462-9170-584c70c2434f · outbound

This paper cites Turner, José Miguel Hernández-Lobato, and Alexander L.

Clustered Randomized Smoothing for Stochastic Prediction Functions Turner, José Miguel Hernández-Lobato, and Alexander L

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.893910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.427948Z digest=sha256:d6ab6e98bc51707cedb51705d27243f2a579fca50e062e7dba219514d77d01ec

Observation dc8d4c31-24a1-4b87-8095-e7127f327807 · outbound

This paper cites Marabou 2.0: a versatile formal analyzer of neural networks.

Clustered Randomized Smoothing for Stochastic Prediction Functions Marabou 2.0: a versatile formal analyzer of neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.882961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.431153Z digest=sha256:892dbde6ba56967c7ab262b108c5084c59b475087b955616d14cc9bd83438d9d

Observation a8b617e2-0c38-44c5-b1b9-0ff1b04ca044 · outbound

This paper cites Automatic perturbation analysis for scalable certified robustness and beyond.Advances in Neural Information Processing Systems, 33:1129–1141, 2020.

Clustered Randomized Smoothing for Stochastic Prediction Functions Automatic perturbation analysis for scalable certified robustness and beyond.Advances in Neural Information Processing Systems, 33:1129–1141, 2020

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.874426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.434158Z digest=sha256:f08046cfe09cbe4eb5ec2ac19e6cb04274bce266edae696e1b940c0af9afb2ba

Observation e2db409b-fbae-4403-a943-92cd993d7b39 · outbound

This paper cites Randomized smoothing of all shapes and sizes.

Clustered Randomized Smoothing for Stochastic Prediction Functions Randomized smoothing of all shapes and sizes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.864643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.437278Z digest=sha256:58d141c2e69a9c7ed040680d3648a94ee7c5e6380ba59d8dd2292c28912934de

Observation 7b3a108c-fddc-48f5-b71f-277b98034dfb · outbound

This paper cites an unresolved cited work.

Clustered Randomized Smoothing for Stochastic Prediction Functions Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:25:02.854487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.440527Z digest=sha256:00a08d2242dc86d1947e923f7024d2e70079c0dd90d3acda0c8750c8a802ad74

Observation 61ba126d-8b79-4a23-b9bf-159c212a5d88 · outbound

This paper cites Efficient neural network robustness certification with general activation functions.Advances in neural information processing systems, 31, 2018.

Clustered Randomized Smoothing for Stochastic Prediction Functions Efficient neural network robustness certification with general activation functions.Advances in neural information processing systems, 31, 2018

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T00:25:02.443596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:25:02.443596Z digest=sha256:b513b0d5824e2433354a36f71fe5e61225d540981324acfcadd974d0c5af0952

Observation 327d24de-216d-4bdf-97b6-0ffd38336b30 · outbound

This paper cites A prognostic driven predictive maintenance framework based on bayesian deep learning.Reliability Engineering & System Safety, 234:109181, 2023.

Clustered Randomized Smoothing for Stochastic Prediction Functions A prognostic driven predictive maintenance framework based on bayesian deep learning.Reliability Engineering & System Safety, 234:109181, 2023

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.838838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.446791Z digest=sha256:6cfa3f1ae5385ec36b66756e887700f2d837904d6c75b9b61cd8ad7d77581355

Observation 3b7dff23-a8da-485a-a932-00a83ca12c4b · outbound

This paper cites an unresolved cited work.

Clustered Randomized Smoothing for Stochastic Prediction Functions Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:25:02.829142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.450528Z digest=sha256:4573e166eca2c28498a9eb7156611008b76ce82659467a99d81e2dff6272e613

Observation 8e43c6e2-0f72-4060-aca0-d6d2be13924f · outbound

This paper cites an unresolved cited work.

Clustered Randomized Smoothing for Stochastic Prediction Functions Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:25:02.819901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.453684Z digest=sha256:981992f8b441bdca83437542852a0b0143cba38167733672803cdd8b4ffeb9ec

Observation 345687c2-2a07-405d-af80-e567a6eb02b1 · outbound

This paper cites an unresolved cited work.

Clustered Randomized Smoothing for Stochastic Prediction Functions Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:25:02.811129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.457095Z digest=sha256:b600bbf3e7f31daafe5169d9760b685ecff9d3ce36ffc1b907e48640f29f88d1

Observation 7bd631a3-b36a-4996-a50d-420fc9714a78 · outbound

This paper cites quantized.

Clustered Randomized Smoothing for Stochastic Prediction Functions quantized

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:25:02.802597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T00:25:02.460110Z digest=sha256:2318f79043f5403aa656e04045094b37c307bcb5b960a07da59e218d0a060ed9

Pith citing papers

No inbound Pith citation observations are available.