Paper Citation Record · LEDGER

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.04951.

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

pith.paper-citation-record.v1
2506.04951 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:37:12.894620Z

measured 19 of 19 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

19 of 19 outbound references displayed

verified exact3
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91416e6c-d043-420d-ba41-2355d3bfcb2a · outbound

This paper cites Image Quality Assessment: Unifying Structure and Texture Similarity.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Image Quality Assessment: Unifying Structure and Texture Similarity

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:11.743500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf5f8a7-dc10-426d-923e-4067e6a731eb · outbound

This paper cites Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:11.816681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8139446-730a-4a65-bf65-5db0a65d32e7 · outbound

This paper cites Pruning Adversarially Robust Neural Networks without Adversarial Examples.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Pruning Adversarially Robust Neural Networks without Adversarial Examples

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T10:37:14.438872Z

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.

Observation 0b9c2bd8-acdd-4036-aa9f-edfac7854696 · outbound

This paper cites Jari Korhonen and Junyong You.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Jari Korhonen and Junyong You

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T10:37:14.161486Z

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.

Observation 4fbf3874-076c-48b2-8f95-4acd08cf4498 · outbound

This paper cites ISBN 9781450394994.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations ISBN 9781450394994

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T10:37:13.981365Z

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.

Observation a61c852a-36d3-493a-a1d1-736142d607d7 · outbound

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

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:12.372055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd2c787-20e3-44d3-9115-9e7dccac2e37 · outbound

This paper cites Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T10:37:13.821532Z

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.

Observation 16c59506-de2c-4a57-ab76-8e8cfcf56898 · outbound

This paper cites Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Fast Adversarial CNN-based Perturbation Attack on No-Reference Image- and Video-Quality Metrics

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T10:37:13.705546Z

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.

Observation a674354c-233c-48ed-b24b-4a344dc0c042 · outbound

This paper cites Weixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, and Kede Ma.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Weixia Zhang, Dingquan Li, Xiongkuo Min, Guangtao Zhai, Guodong Guo, Xiaokang Yang, and Kede Ma

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T10:37:13.497505Z

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.

Observation a3d83dbf-b5dd-4809-87c8-4cbc1d5cb4b3 · outbound

This paper cites Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:37:13.271562Z

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.

Observation 3848b3ec-f985-4503-b02b-6fabcbf942f6 · outbound

This paper cites Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, and Dawn Song.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, and Dawn Song

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:12.577165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e47e37f-00b2-4b35-b933-2dbdef778837 · outbound

This paper cites Adversarial purification for no-reference image-quality metrics: applicability study and new methods.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Adversarial purification for no-reference image-quality metrics: applicability study and new methods

Reference 2014

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:37:14.565230Z

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.

Observation 6065453c-d0fb-4bc3-9104-2f188fba20d2 · outbound

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

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:11.583324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc03eda-692d-4b7a-b9b4-60c93f295392 · outbound

This paper cites Towards Evaluating the Robustness of Neural Networks.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Towards Evaluating the Robustness of Neural Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:11.399156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64645c83-47ff-44a6-9c43-79f21a1208aa · outbound

This paper cites Pruning Deep Neural Networks using Partial Least Squares.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Pruning Deep Neural Networks using Partial Least Squares

Reference 2019

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T10:37:14.295468Z

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.

Observation fa2e97c2-258b-401c-99c3-b030a050cb02 · outbound

This paper cites Smooth Adversarial Training.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Smooth Adversarial Training

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:12.669555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ce89c5-0cdd-48b5-b171-7400ed5a425b · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Explaining and Harnessing Adversarial Examples

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:11.904409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6ad75a2-9add-48c4-954c-d7c6f2e3667b · outbound

This paper cites A Non-monotonic Smooth Activation Function.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations A Non-monotonic Smooth Activation Function

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:11.343254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 748b0d24-7a86-4cf0-96ee-442f19691e22 · outbound

This paper cites Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter.

Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter

Reference 2024

Resolution: verified exact; doi, observed 2026-08-07T10:37:13.044675Z

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.

Pith citing papers

No inbound Pith citation observations are available.