Paper Citation Record · LEDGER

On the Robustness of Distributed Machine Learning against Transfer Attacks

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2412.14080.

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

pith.paper-citation-record.v1
2412.14080 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:33:25.659238Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

17 of 17 outbound references displayed

verified exact1
verified fuzzy11
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abb09982-ea93-4304-82b6-40039944d833 · outbound

This paper cites In Bengio, Y.; and LeCun, Y., eds., 3rd International Conference on Learning Repre- sentations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings.

On the Robustness of Distributed Machine Learning against Transfer Attacks In Bengio, Y.; and LeCun, Y., eds., 3rd International Conference on Learning Repre- sentations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.884930Z

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 6fe7e01a-1cb0-43ac-b62d-810261ad23bc · outbound

This paper cites For instance, in the DO scenario, we start with the configuration of Master #1, which specifies the use of VGG19 as the architecture and CyclicLR as the scheduler.

On the Robustness of Distributed Machine Learning against Transfer Attacks For instance, in the DO scenario, we start with the configuration of Master #1, which specifies the use of VGG19 as the architecture and CyclicLR as the scheduler

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T12:33:25.766694Z

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 01093311-703c-4708-817c-12810a2d5c70 · outbound

This paper cites Tune: A Research Platform for Distributed Model Selection and Training.

On the Robustness of Distributed Machine Learning against Transfer Attacks Tune: A Research Platform for Distributed Model Selection and Training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:33:25.634475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45721913-0bcd-4d4a-a7bd-a8e284532357 · outbound

This paper cites In Proceedings of the IEEE/CVF In- ternational Conference on Computer Vision (ICCV), 7708–7717.

On the Robustness of Distributed Machine Learning against Transfer Attacks In Proceedings of the IEEE/CVF In- ternational Conference on Computer Vision (ICCV), 7708–7717

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.863308Z

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 2ec4c3e9-9da9-4d4e-8b6d-183837e0ba43 · outbound

This paper cites Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications.

On the Robustness of Distributed Machine Learning against Transfer Attacks Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T12:33:25.641663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae02f68-37f1-4c7a-b84e-4de91e2bd8e8 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1924–1933.

On the Robustness of Distributed Machine Learning against Transfer Attacks In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1924–1933

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.852361Z

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 712acd2c-ffab-4d4b-adbf-0f4e3266067c · outbound

This paper cites InIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 9024–9033.

On the Robustness of Distributed Machine Learning against Transfer Attacks InIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 9024–9033

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.840678Z

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 a54debc1-1402-4e8d-9723-336684ca8722 · outbound

This paper cites InIEEE Conference on Computer Vision and Pattern Recogni- tion, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2730–2739.

On the Robustness of Distributed Machine Learning against Transfer Attacks InIEEE Conference on Computer Vision and Pattern Recogni- tion, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2730–2739

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.829515Z

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 cf93e8ec-da98-455d-b2ff-fae554335774 · outbound

This paper cites Private Federated Learning in Gboard.

On the Robustness of Distributed Machine Learning against Transfer Attacks Private Federated Learning in Gboard

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T12:33:25.783924Z

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 a7f9c6c9-51b1-481f-8afe-57bfe89fdc1a · outbound

This paper cites In Ben- gio, Y.; and LeCun, Y., eds.,3rd International Con- ference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Pro- ceedings.

On the Robustness of Distributed Machine Learning against Transfer Attacks In Ben- gio, Y.; and LeCun, Y., eds.,3rd International Con- ference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Pro- ceedings

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.895255Z

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 88d3d805-d80e-4f5a-bf14-b8c1712211d1 · outbound

This paper cites In Guyon, I.; von Luxburg, U.; Bengio, S.; Wallach, H.

On the Robustness of Distributed Machine Learning against Transfer Attacks In Guyon, I.; von Luxburg, U.; Bengio, S.; Wallach, H

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.873640Z

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 7891b141-1518-42c4-a683-edc09d2a3a49 · outbound

This paper cites Adversarial Attacks and Defences Competition.

On the Robustness of Distributed Machine Learning against Transfer Attacks Adversarial Attacks and Defences Competition

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:33:25.819091Z

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 063703d5-d4eb-4b2f-aacf-b0b794eb0b6e · outbound

This paper cites In Heninger, N.; and Traynor, P., eds.,28th USENIX Security Sym- posium, USENIX Security 2019, Santa Clara, CA, USA, August 14-16, 2019, 321–338.

On the Robustness of Distributed Machine Learning against Transfer Attacks In Heninger, N.; and Traynor, P., eds.,28th USENIX Security Sym- posium, USENIX Security 2019, Santa Clara, CA, USA, August 14-16, 2019, 321–338

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.915308Z

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 5bb3ee98-833c-4c53-9f59-bb8b480dabd6 · outbound

This paper cites an unresolved cited work.

On the Robustness of Distributed Machine Learning against Transfer Attacks Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:33:25.934937Z

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 afe16a87-039b-44e8-8169-9be5e5acd32e · outbound

This paper cites In41st IEEE International Conference on Distributed Computing Systems, ICDCS 2021, Washington DC, USA, July 7-10, 2021, 852–863.

On the Robustness of Distributed Machine Learning against Transfer Attacks In41st IEEE International Conference on Distributed Computing Systems, ICDCS 2021, Washington DC, USA, July 7-10, 2021, 852–863

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.945465Z

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 8bc63eef-3358-4347-b049-8387af6a0395 · outbound

This paper cites In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29,.

On the Robustness of Distributed Machine Learning against Transfer Attacks In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.925100Z

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 cde435c0-40cd-46dc-a4ff-8d0bf7e53f5b · outbound

This paper cites In Yoneki, E.; and Nardi, L., eds.,Proceedings of the 3rd Workshop on Machine Learning and Systems, EuroMLSys 2023, Rome, Italy, 8 May 2023, 34–41.

On the Robustness of Distributed Machine Learning against Transfer Attacks In Yoneki, E.; and Nardi, L., eds.,Proceedings of the 3rd Workshop on Machine Learning and Systems, EuroMLSys 2023, Rome, Italy, 8 May 2023, 34–41

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:33:25.905500Z

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.

Pith citing papers

No inbound Pith citation observations are available.