Paper Citation Record · LEDGER

Robust Federated Learning in a Heterogeneous Environment

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1906.06629.

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

pith.paper-citation-record.v1
1906.06629 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:52:36.516908Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:44:56.423356Z

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 32f55dc2-effc-4bc4-8f89-445189772e49 · 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 Robust Federated Learning in a Heterogeneous Environment

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:13:37.009990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a81d082-fa95-479c-97b2-b11bffe8b7d8 · inbound

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning cites this paper.

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning Robust Federated Learning in a Heterogeneous Environment

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:52:36.516908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b92fcbd-a8d7-460c-8dfc-50284497832e · inbound

FedBiCross: Personalized One-Shot Federated Learning on Medical Images cites this paper.

FedBiCross: Personalized One-Shot Federated Learning on Medical Images Robust Federated Learning in a Heterogeneous Environment

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:50:23.812378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59e46d42-ec17-462a-8bc6-1137d282e869 · inbound

FedBiCross: Personalized One-Shot Federated Learning on Medical Images cites this paper.

FedBiCross: Personalized One-Shot Federated Learning on Medical Images Robust Federated Learning in a Heterogeneous Environment

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T12:44:22.919563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890104e5-97fc-4581-ade3-99335ffe31c3 · inbound

Tight Convergence Rates for Online Distributed Linear Estimation with Adversarial Measurements cites this paper.

Tight Convergence Rates for Online Distributed Linear Estimation with Adversarial Measurements Robust Federated Learning in a Heterogeneous Environment

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:30:51.034936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0e8b844-c973-4fe0-9caf-ec300837e8d6 · inbound

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates cites this paper.

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates Robust Federated Learning in a Heterogeneous Environment

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:16:25.901731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad3e286f-e1ac-451c-8ac6-29ea89a898d9 · inbound

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Robust Federated Learning in a Heterogeneous Environment

Reference 148

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T16:44:56.424946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70fe5fcc-4d86-44bb-8617-b4b7b68555a5 · inbound

Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata cites this paper.

Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata Robust Federated Learning in a Heterogeneous Environment

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T10:49:43.018688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.