Paper Citation Record · LEDGER

Edge-Based Learning for Improved Classification Under Adversarial Noise

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2504.20077.

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

pith.paper-citation-record.v1
2504.20077 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:48.930897Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

31 of 31 outbound references displayed

verified exact1
verified fuzzy8
unresolved21
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 677784ad-e74f-4b98-992d-fd67f1b928af · outbound

This paper cites Ieee Access6, 14410–14430 (2018).

Edge-Based Learning for Improved Classification Under Adversarial Noise Ieee Access6, 14410–14430 (2018)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:49.198222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 807060e6-c3d7-4ab2-b332-e91c9271a1ac · outbound

This paper cites In: International confer- ence on machine learning.

Edge-Based Learning for Improved Classification Under Adversarial Noise In: International confer- ence on machine learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.836547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f265507-9e7b-4d93-b23c-38f11b6e83fe · outbound

This paper cites In: 2022 45th International Conference on Telecommunications and Signal Processing (TSP).

Edge-Based Learning for Improved Classification Under Adversarial Noise In: 2022 45th International Conference on Telecommunications and Signal Processing (TSP)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:49.182762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a807d973-40c0-4048-9f79-f5c1a66015f8 · outbound

This paper cites Adversarial Patch.

Edge-Based Learning for Improved Classification Under Adversarial Noise Adversarial Patch

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.843207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32760ace-1b5d-4789-90d6-f5e63c3ea41f · outbound

This paper cites IEEE Transactions on pattern analysis and machine intelligence (6), 679–698 (1986).

Edge-Based Learning for Improved Classification Under Adversarial Noise IEEE Transactions on pattern analysis and machine intelligence (6), 679–698 (1986)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.846974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d0b8266-e4d0-471e-b018-9d22a2f6580e · outbound

This paper cites In: 2017 ieee symposium on security and privacy (sp).

Edge-Based Learning for Improved Classification Under Adversarial Noise In: 2017 ieee symposium on security and privacy (sp)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.850281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f74ab13e-5fb5-4df8-8cc6-35eb32f4b454 · outbound

This paper cites IEEE Dataport10 (2020).

Edge-Based Learning for Improved Classification Under Adversarial Noise IEEE Dataport10 (2020)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:49.161648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01d32143-1223-4639-ba3d-0df7210c8213 · outbound

This paper cites COVID-19 Image Data Collection.

Edge-Based Learning for Improved Classification Under Adversarial Noise COVID-19 Image Data Collection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.856701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5661be85-fa06-42da-8390-2496b559f216 · outbound

This paper cites Attacking Large Language Models with Projected Gradient Descent.

Edge-Based Learning for Improved Classification Under Adversarial Noise Attacking Large Language Models with Projected Gradient Descent

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.859908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98c706c4-7131-4f07-8f09-7780088878cc · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Edge-Based Learning for Improved Classification Under Adversarial Noise Explaining and Harnessing Adversarial Examples

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.863313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e1beb87-600e-4a1d-9400-8efef2a3c113 · outbound

This paper cites On the (Statistical) Detection of Adversarial Examples.

Edge-Based Learning for Improved Classification Under Adversarial Noise On the (Statistical) Detection of Adversarial Examples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.866752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8686df2-f4e3-46cb-9e3f-0696fb81b293 · outbound

This paper cites Towards Deep Neural Network Architectures Robust to Adversarial Examples.

Edge-Based Learning for Improved Classification Under Adversarial Noise Towards Deep Neural Network Architectures Robust to Adversarial Examples

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.870127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 494c88d2-a117-4988-92fe-234a52aaf589 · outbound

This paper cites an unresolved cited work.

Edge-Based Learning for Improved Classification Under Adversarial Noise Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:28:49.152726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ffee8070-bc11-43b9-94d5-a912f6fd3b16 · outbound

This paper cites an unresolved cited work.

Edge-Based Learning for Improved Classification Under Adversarial Noise Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.876542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88387d0e-6ab6-455b-b93c-7a472917750b · outbound

This paper cites In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Edge-Based Learning for Improved Classification Under Adversarial Noise In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:49.137956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94f36e4b-f9b2-4405-9952-492e4aab2074 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Edge-Based Learning for Improved Classification Under Adversarial Noise In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:49.127173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d26a9143-7a5f-4247-8719-4e1f03d6c816 · outbound

This paper cites Adversarial Attacks on Neural Network Policies.

Edge-Based Learning for Improved Classification Under Adversarial Noise Adversarial Attacks on Neural Network Policies

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.886510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e4ee32-b245-4f2f-a969-c22551ebbc5e · outbound

This paper cites Mendeley Data3(10.17632) (2018).

Edge-Based Learning for Improved Classification Under Adversarial Noise Mendeley Data3(10.17632) (2018)

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:28:49.117723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5753f73f-2814-407b-9918-785f6ccb3347 · outbound

This paper cites In: Artificial intelligence safety and security, pp.

Edge-Based Learning for Improved Classification Under Adversarial Noise In: Artificial intelligence safety and security, pp

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.892609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6aacb22-da50-46ff-bd08-72e0ce96d66c · outbound

This paper cites Proceedings of the IEEE86(11), 2278–2324 (1998).

Edge-Based Learning for Improved Classification Under Adversarial Noise Proceedings of the IEEE86(11), 2278–2324 (1998)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.895619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b3731c1-d2cb-4686-8021-2f2f714f7e8f · outbound

This paper cites In: 2019 IEEE symposium on security and privacy (SP).

Edge-Based Learning for Improved Classification Under Adversarial Noise In: 2019 IEEE symposium on security and privacy (SP)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:49.098219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c5ab916a-c26c-4a9f-97b7-0c1fe66ab0bf · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Edge-Based Learning for Improved Classification Under Adversarial Noise In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:49.088391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40f52bda-254f-4aab-bba6-5a6470694051 · outbound

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

Edge-Based Learning for Improved Classification Under Adversarial Noise Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.904749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbc3da21-9aa7-4b8f-b1e5-936acf5f8485 · outbound

This paper cites On Detecting Adversarial Perturbations.

Edge-Based Learning for Improved Classification Under Adversarial Noise On Detecting Adversarial Perturbations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.908173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfd2e5e8-48c5-4fd7-a7e9-7a754c035d4a · outbound

This paper cites In: 2016 IEEE European sym- posium on security and privacy (EuroS&P).

Edge-Based Learning for Improved Classification Under Adversarial Noise In: 2016 IEEE European sym- posium on security and privacy (EuroS&P)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.911418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92526eee-4d37-4f90-b14f-b3bf654edbcb · outbound

This paper cites https://doi.org/10.21227/s7pw-jr18, https://dx.doi.org/10.21227/ s7pw-jr18.

Edge-Based Learning for Improved Classification Under Adversarial Noise https://doi.org/10.21227/s7pw-jr18, https://dx.doi.org/10.21227/ s7pw-jr18

Reference 26

Resolution: verified exact; doi, observed 2026-08-16T10:28:48.958750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f6a6677b-838a-4605-adeb-30e00dcf6f23 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Edge-Based Learning for Improved Classification Under Adversarial Noise Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.917411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6694e727-77fd-4113-98a0-f6e62cc321b9 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Edge-Based Learning for Improved Classification Under Adversarial Noise In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.920467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25bcf319-b3a2-4293-b6a3-1d9746210f7e · outbound

This paper cites Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.

Edge-Based Learning for Improved Classification Under Adversarial Noise Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.923597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa5b2ea4-a823-4cc3-8ad3-e232b8213b82 · outbound

This paper cites IEEE/ACM Transactions on Networking30(3), 1294–1311 (2022).

Edge-Based Learning for Improved Classification Under Adversarial Noise IEEE/ACM Transactions on Networking30(3), 1294–1311 (2022)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:28:48.927059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6260781a-8a88-45bf-87f2-38ac0659285b · outbound

This paper cites Advances in neural information processing systems31 (2018).

Edge-Based Learning for Improved Classification Under Adversarial Noise Advances in neural information processing systems31 (2018)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:28:49.060937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.