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Paper Citation Record · LEDGER

Robust Federated Learning in a Heterogeneous Environment

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:49:58.093821Z

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T23:09:32.656257Z digest=sha256:6a2e1865da1e374b4d6e984a92c6965962155a4f163d1569c0b99180dccb3d22

Observation 2111dfe3-e70f-4005-a2cb-ce7e36f9ec4d · inbound

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps cites this paper.

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps Robust Federated Learning in a Heterogeneous Environment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T13:44:46.666283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:44:46.666283Z digest=sha256:911744d45e742430926d6b3152126a1ff386fcdd470075ec96de5e1a4354c580

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=sha256:60c63938f3219910de36fbf6ef3da44c3f4b255d1e502979ca4118b5de0d8441

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=sha256:791f100f6e5acbcc9687e695f6ae37b91882048a88decb535ee13d6052fc9737

Observation 19d39496-1011-4f21-b0a9-b2411655bcda · inbound

Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model cites this paper.

Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model Robust Federated Learning in a Heterogeneous Environment

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T05:49:58.093821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:49:58.093821Z digest=sha256:ae92e5a90366ea5304f12f15de700b9db5b1e80412f95576f24c87e93f073fa9

Observation 52fb8e22-014e-4405-8ce1-c525f1dc3646 · inbound

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning cites this paper.

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning Robust Federated Learning in a Heterogeneous Environment

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T22:36:01.630448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:36:01.630448Z digest=sha256:272567a5a09c6d3f9b8b2e1c4b48c1fa612dc59176ca3ceb10b23dc5c8fc6ea3

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:d1eda17b35e1f3338ab15e60e2c1efa35455eba075a4ed649f76b54aee237678

Observation eafba5ee-767e-4676-bc6e-f1cf42b0a782 · inbound

Centroid Approximation for Byzantine-Tolerant Federated Learning cites this paper.

Centroid Approximation for Byzantine-Tolerant Federated Learning Robust Federated Learning in a Heterogeneous Environment

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:00:30.000262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:00:30.000262Z digest=sha256:54cf471e68e5b74a5d49452f04d8ff2c7ae374ccd9374f16134e07c0fb9fa56f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T16:45:46.966815Z digest=sha256:2c82c8df72e80b93b5f7ff5858a60f6dba18a0a8e9fbc8e60e6257f8251c8fea

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:bd3fa5e7edb58940b2ef23dbdb15197dcf59643cc73906ca73276637f929364c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T19:04:47.534620Z digest=sha256:affa1cfcf9f0dd49546cce69682fff2695819dc513a70c72b9587225cbc0980b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T04:27:35.605021Z digest=sha256:68d71716c3c63a69fcf6abd6b4f4dc6b77a8a5f1b70f2db18f34b8ace7389c87

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-30T04:41:41.370083Z digest=sha256:e781d3290594b18b1635dd9fa74f9a13b31e4c81a3346d2be2f2c786e9a9386e

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:c0e539156964c21adfe967ce00be10aa4028ca4cc2407a93bca050cc12443c71