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Paper Citation Record · LEDGER

Robust Federated Learning in a Heterogeneous Environment

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:44:11.652083Z

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T23:09:32.656257Z digest=sha256:b5726370e8343eb493fc7a184b93d089a560679b418d9f5e73c6993d32653899

Observation 2a8fc99b-55d5-402f-a1d5-48228c362cbd · inbound

A Survey of Secure Semantic Communications cites this paper.

A Survey of Secure Semantic Communications Robust Federated Learning in a Heterogeneous Environment

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-10T22:44:11.652083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:44:11.652083Z digest=sha256:4d1c06a06752a6f10f5ebc421f3dda113fd9b73de2009a655b3f05280f5c9145

Observation 7098b309-485f-4bce-9fe3-13d0d36be2fa · inbound

SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning cites this paper.

SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning Robust Federated Learning in a Heterogeneous Environment

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T00:22:30.653778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:22:30.653778Z digest=sha256:bbb423c747cb13fa1e14d058b9bbc8e8db59f3b7564075d01a594d7c33f3e160

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.

source=pdf_text observed=2026-08-07T00:52:36.516908Z digest=sha256:7d8ceca05446286a0c9fa2f6611f681af7e43fc624500c18e758dec0cb448fda

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T16:45:46.966815Z digest=sha256:e242ebe594c2c884f7bf37a225e5d9793920ab6ccd583e435a2a2d987f9f3601

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.

source=pdf_text observed=2026-08-03T12:44:22.919563Z digest=sha256:db53e80d82d4ccf12f2f26eb1002afed929fdbb972185812d751d7a37ddb0dcd

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T19:04:47.534620Z digest=sha256:c575af099bc08e099b9d6fe6f727e73de77f288066eaec62613d08ca8c4fa4dd

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T04:27:35.605021Z digest=sha256:b472954c0b945fe7c9d1dd12d133bc62d7eeb196be1fd0f3b79e779db2c321ff

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-30T04:41:41.370083Z digest=sha256:a968db659b7ae8336d546e2c829b09f1128744bfc6a240dba968ecc89cfa2c02

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.

source=pdf_text observed=2026-07-31T10:49:43.018688Z digest=sha256:87e314d367a13fb53d683c8fa4608a97feafc394c6a6ef6656aa5c22610a14b0