Paper Citation Record · LEDGER

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.17226.

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

pith.paper-citation-record.v1
2505.17226 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:30.760294Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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 exact0
verified fuzzy9
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation beaffadf-4c5d-4abb-9fbb-6585aac9151c · outbound

This paper cites Advances in Neural Information Processing Systems30(2017).

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Advances in Neural Information Processing Systems30(2017)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:33.345431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38eb8edd-8612-44d0-b473-ec8cba7aa60e · outbound

This paper cites In: Proceedings of the Int’l ACM Symposium on Mobility Management and Wireless Access.

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation In: Proceedings of the Int’l ACM Symposium on Mobility Management and Wireless Access

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:33.140469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 420877b9-cede-4791-9856-84ecd4fe3a25 · outbound

This paper cites In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, volume 1 (long and short papers).

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, volume 1 (long and short papers)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:32.880525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e8d07270-a6b3-4673-bb57-40355f369b94 · outbound

This paper cites IEEE Transactions on Consumer Electronics (2025).

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation IEEE Transactions on Consumer Electronics (2025)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:32.641367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e424fb3-f2e5-4fa9-8634-a594d5434c84 · outbound

This paper cites Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning.

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:56:30.948417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dfad5096-4d82-4b4a-bf98-5b67184ada42 · outbound

This paper cites an unresolved cited work.

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:56:32.499936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1859c187-5438-431e-8c87-9ab207dc88be · outbound

This paper cites In: International Conference on Machine Learning.

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation In: International Conference on Machine Learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:32.233942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a6160d3e-b459-4bc5-8738-860a24b25817 · outbound

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

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Proceedings of the IEEE86(11), 2278–2324 (1998)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:30.226000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed2bced-4ffa-4da9-a44a-06aab9aa2bfa · outbound

This paper cites In: Artificial intelligence and statistics.

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation In: Artificial intelligence and statistics

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:30.287959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8727e48e-d335-4bb2-aef2-7e94a67ba570 · outbound

This paper cites Electronics12(10), 2287 (2023).

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Electronics12(10), 2287 (2023)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:31.950686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fdb67679-fbfd-4c16-a4c8-61487f69d824 · outbound

This paper cites an unresolved cited work.

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:56:31.757506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a70b4b72-bd70-40ad-94cc-36c4b4e75c93 · outbound

This paper cites an unresolved cited work.

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:56:31.520499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c36ce61-9999-4f13-87ff-4234feb24466 · outbound

This paper cites Digital Communications and Networks10(1), 126–134 (2024).

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Digital Communications and Networks10(1), 126–134 (2024)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:31.325051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cabf937f-d114-4ade-bb9f-f4d6905ed0e3 · outbound

This paper cites IEEE Transactions on Information Forensics and Security (2025).

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation IEEE Transactions on Information Forensics and Security (2025)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:31.205504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1245aa86-72c8-4995-803f-a205d6e92a45 · outbound

This paper cites Authorea Preprints (2025).

Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation Authorea Preprints (2025)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:56:31.063935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.