Paper Citation Record · LEDGER

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.06832.

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

pith.paper-citation-record.v1
2502.06832 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:27:01.486501Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

15 of 15 outbound references displayed

verified exact1
verified fuzzy4
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bee6a9e1-9f3b-4441-b915-044fb06b3d42 · outbound

This paper cites Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-09T04:27:01.821295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbd3dad4-a86b-48ad-a1b1-98eb775931ff · outbound

This paper cites We use the dual-model performance at α = 0.7 as the baseline, depicted by green squares in this figure.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach We use the dual-model performance at α = 0.7 as the baseline, depicted by green squares in this figure

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:27:01.832372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22e842cf-ab7e-4a8b-9665-4725c14f9222 · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Carbon Emissions and Large Neural Network Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.457822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0f0bb31-750d-4e81-9fc5-3c3826d06023 · outbound

This paper cites From Sparse to Soft Mixtures of Experts.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach From Sparse to Soft Mixtures of Experts

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.462063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913277dc-7e49-4d4f-8b96-c9b68eee8439 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.470786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 334ae783-48b5-406d-b217-97722e6b44ca · outbound

This paper cites Mixture of experts in image classification: What’s the sweet spot? arXiv preprint arXiv:2411.18322,.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Mixture of experts in image classification: What’s the sweet spot? arXiv preprint arXiv:2411.18322,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.478610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536b26cb-1277-4ec6-9574-020b8658b540 · outbound

This paper cites Supplementary Material In this supplementary material, we provide the proofs of Theorems 5.4 and 5.5 in Section A.1.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Supplementary Material In this supplementary material, we provide the proofs of Theorems 5.4 and 5.5 in Section A.1

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:27:01.843185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5d444d8-91a4-4da3-bc5b-1f6e6983325f · outbound

This paper cites Mixture- of-experts for semantic segmentation of remoting sensing image.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Mixture- of-experts for semantic segmentation of remoting sensing image

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:27:01.875250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d26cc426-86ee-48a0-a930-848b1e03690e · outbound

This paper cites an unresolved cited work.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:27:01.853758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5936a482-5aec-4170-8ee5-12f4b6c3afc2 · outbound

This paper cites B., and Swami, A.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach B., and Swami, A

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:27:01.864421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4febff4-b172-4c26-a99b-7df38d02e154 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Explaining and Harnessing Adversarial Examples

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.440906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde0ecd2-ad2b-4c1b-bbfd-10e9d6e63782 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Imagenet: A large-scale hierarchical image database

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.436324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c093c6-4e3b-460a-9c10-ef68bffe68c0 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.449349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19db9297-1d15-4315-9193-dc75cda78e7c · outbound

This paper cites MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T04:27:01.806290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9691b9e0-7cba-4b8a-b4fe-6e7391fb9092 · outbound

This paper cites Fixing Data Augmentation to Improve Adversarial Robustness.

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Fixing Data Augmentation to Improve Adversarial Robustness

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T04:27:01.466300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.