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Paper Citation Record · LEDGER

Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1803.01498.

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

pith.paper-citation-record.v1
1803.01498 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:39:53.250759Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-25T02:20:14.366194Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 213897f7-9399-4dd6-b8e6-ddeb12841695 · inbound

Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method cites this paper.

Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-25T02:20:14.369720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T02:17:40.576094Z digest=sha256:1beb0f97856a67212d6cfb7b75f080d2e02da7017d4bc8bf4c3db20354e8edaf

Observation 83bf5ad1-4e06-40c2-a3dc-82063330dc9c · inbound

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning cites this paper.

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:13:37.031130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T23:09:32.656257Z digest=sha256:1b3c6a66a5954adebffcbd4d55b37e640723b7115f7181fe80192afdbba07bed

Observation 7b98ff38-5947-4d15-9d31-e011531a041d · inbound

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning cites this paper.

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T13:39:53.250759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:39:53.250759Z digest=sha256:a815d211b8c9a38dcf8002654784712f5385ca129b070b758372e82cdb51bfb0

Observation bfbaa9ad-353c-4011-b02a-0f39d73914a2 · inbound

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach cites this paper.

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:53.735458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:06:53.735458Z digest=sha256:684e72217810d324875d6d9bb82770542f5919968c60650688ade1ea43295050

Observation f15629cf-b319-404a-8ce0-ebadab4695cf · inbound

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study cites this paper.

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T11:21:54.090044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:21:54.090044Z digest=sha256:3e6ee0a3a5e27493c35565fbf6dd43b67aaea02297dd0a0def5eb5e7326e8c03

Observation b93fe95c-d18f-4753-9f4d-62a32db025c8 · inbound

Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats cites this paper.

Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T13:28:49.338280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:28:49.338280Z digest=sha256:575a0c32f586692d76fd1f5d24283e254e5d6bd1a1b771ecaa32cef76377cc1c