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Paper Citation Record · LEDGER

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:1910.06378.

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

pith.paper-citation-record.v1
1910.06378 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:27:52.142973Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

735
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ae3e0621-7cea-4c75-97b6-b54b3a0cecd8 · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 220

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arxiv_id, observed 2026-05-21T10:30:58.823487Z

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=arxiv_source observed=2026-05-21T10:30:58.601351Z digest=sha256:a3a8f5070216f8c47c3fd1d71dadefea954d4dc724b34e4ff3aef2025e5a7d8a

Observation 2825fc20-949d-429a-9594-445d59442efa · inbound

Aggregating Low Rank Adapters in Federated Fine-tuning cites this paper.

Aggregating Low Rank Adapters in Federated Fine-tuning SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 18

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arxiv_id, observed 2026-05-23T05:25:26.396639Z

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=2026-05-23T05:23:51.207956Z digest=sha256:3d3791296ec017c6200cb915cb57a797cb725652b2f0d95af2bde5a878b03b54

Observation 7b178609-8325-43a6-8228-7297a8bf3330 · inbound

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection cites this paper.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 14

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no resolver link, observed 2026-08-08T18:27:52.142973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:27:52.142973Z digest=sha256:6ca5c2307a7cf464ff31dee49c5a1ae6e25b5702b8a7713c955ce79d16ca6aa1

Observation 68a16aa8-a1a8-478e-afb0-e8e4513cbda1 · inbound

Distributionally Robust Federated Learning with Client Drift Minimization cites this paper.

Distributionally Robust Federated Learning with Client Drift Minimization SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 23

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no resolver link, observed 2026-08-07T15:25:38.683133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:38.683133Z digest=sha256:4dbb98da2282c3728f37065a8cbf3974e5b354d1b48e73aac5b7d27500dc90f0

Observation e8a1f021-7bec-4ea3-bc0f-95c99723a3a1 · inbound

FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation cites this paper.

FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 21

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no resolver link, observed 2026-08-07T13:00:58.428143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:58.428143Z digest=sha256:3922ab732547e79d1482ec0fd14faac53828f380927bdf7e732f74d3d62c50ae

Observation bd4cba08-1588-458d-8758-3fff890f09d6 · inbound

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity cites this paper.

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 2021

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no resolver link, observed 2026-08-07T11:16:20.624757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:20.624757Z digest=sha256:3a4dcd897896d6217ec228ce2a381bfca08fb232fd15a5e4bc25560681e38d36

Observation c7c687aa-f6ac-48cd-a9da-9f5148cdd573 · inbound

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix cites this paper.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 30

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no resolver link, observed 2026-08-06T17:53:48.100847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:53:48.100847Z digest=sha256:543b589ae4a6533468bbc20a3a45aac64585eee70c2a7ddd11b255e161f7b933

Observation 67d719c4-7324-4f56-a5fb-23c8fe8b91a3 · inbound

A Multi-Objective Optimization framework for Decentralized Learning with coordination constraints cites this paper.

A Multi-Objective Optimization framework for Decentralized Learning with coordination constraints SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 10

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no resolver link, observed 2026-08-06T16:19:46.737308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:19:46.737308Z digest=sha256:a38c8d52623597d89b1adbd8cf7ff1ced987bd7a3c08dad69a9af20997f3539f

Observation 5cabc0f7-7e3c-479d-b4a2-e72f2cfcd7ab · inbound

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning cites this paper.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 11

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no resolver link, observed 2026-08-05T18:34:14.899492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:34:14.899492Z digest=sha256:a607ff8c4255ab15e652bdc9a09fbe19ee5ec20d7dba16c31721629f97b7e941

Observation fef0e108-174c-4d3e-a449-a4a8b0b64c41 · inbound

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity cites this paper.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 7

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no resolver link, observed 2026-08-05T10:26:02.260005Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:26:02.260005Z digest=sha256:83bd004d6c28bf8fa4521d7095912fe908afafc40af21506c9eda8b4255977ff

Observation e215d748-3b1d-4550-9063-1f293c2928a4 · inbound

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models cites this paper.

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 36

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no resolver link, observed 2026-08-04T19:48:49.339604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:48:49.339604Z digest=sha256:8f758a754d629295c4473a247d93c3564f97937b4f55c86218edb22dcaf1f205

Observation ac7f75bc-ca98-401f-b7d8-f51fc0d116d5 · inbound

Subspace Optimization for Efficient Federated Learning under Heterogeneous Data cites this paper.

Subspace Optimization for Efficient Federated Learning under Heterogeneous Data SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 9

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verified exact
arxiv_id, observed 2026-05-11T23:31:17.482069Z

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=2026-05-07T16:45:53.627922Z digest=sha256:702cf60ee465d883e118eb2c1db8215b30bd65f33d5b3b4d7d2056fb3cd56c51

Observation 19eca375-dbae-46fc-b67b-4a619cc38745 · inbound

Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis cites this paper.

Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 12

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arxiv_id, observed 2026-05-11T03:40:53.891496Z

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=2026-05-11T03:34:10.344171Z digest=sha256:8e776d2e1184db923b61e78d95ebbf06a3d88834d0cf41ecd0041549e551e006

Observation d1c7f7c6-d241-4e87-93fb-e696948be464 · inbound

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity cites this paper.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 50

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verified exact
arxiv_id, observed 2026-05-14T19:32:50.840947Z

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=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:8b99e0b83086f663c22dc166be4a181fc4592a5f0f7d7e56fe4879d346cadfd4

Observation 1a0366ad-237a-4dc4-8d56-ce0c892036a2 · inbound

FedEHR-Gen: Federated Synthetic Time-Series EHR Generation via Latent Space Alignment and Distribution-Aware Aggregation cites this paper.

FedEHR-Gen: Federated Synthetic Time-Series EHR Generation via Latent Space Alignment and Distribution-Aware Aggregation SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 24

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arxiv_id, observed 2026-06-29T14:33:30.476641Z

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=2026-06-29T14:30:32.045846Z digest=sha256:28469306e02d9279873d8d99eac4d76a0fb9441cd34264cce73fc5c400358f43

Observation 7ff8a896-04f5-49ba-ad9f-6e9b038a5afd · inbound

FedReLa: Imbalanced Federated Learning via Re-Labeling cites this paper.

FedReLa: Imbalanced Federated Learning via Re-Labeling SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 1

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verified exact
arxiv_id, observed 2026-07-04T21:00:08.546798Z

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=2026-06-25T19:23:07.782430Z digest=sha256:4f7415e554ba327d1f7e3535255ce94f228f0b1a87d099771e5e17cfb9963f3f

Observation 7fb69667-ffaf-492e-b591-8ad5f5259925 · inbound

FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks cites this paper.

FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 5

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arxiv_id, observed 2026-07-01T19:06:02.945725Z

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=2026-06-29T01:08:48.835080Z digest=sha256:43ba9d639c5274ce2738cfadfd1bfbb1fffc7a67793ddf61c80b5c1ef64ec6a4

Observation 46027c9e-6fae-4304-9a21-9ac56696277d · inbound

SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates cites this paper.

SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 37

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arxiv_id, observed 2026-07-01T13:05:45.508085Z

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

source=arxiv_source observed=2026-07-01T01:05:17.842447Z digest=sha256:0e6db05fee2f8fcfabde06cd96fc179db735b968d19a019f8a314709887a58db

Observation 382603fe-5013-4d31-8a6c-65328179b265 · inbound

TallyTrain: Communication-Efficient Federated Distillation cites this paper.

TallyTrain: Communication-Efficient Federated Distillation SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 29

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arxiv_id, observed 2026-07-02T19:47:18.822974Z

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=arxiv_source observed=2026-07-02T19:44:47.733008Z digest=sha256:690a27ce8aa599806734ed638bc25df05bbe0e75b7cef96ae5a857484ea8f82c

Observation 0fe2f732-e75a-4c28-bf87-4c84a7b9edc6 · inbound

FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering cites this paper.

FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 6

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no resolver link, observed 2026-07-11T21:13:04.339445Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:13:04.339445Z digest=sha256:2ec57f6b7a0a9991a1c390737222e28019fe82d8582d2bc0bc9be2b10cef8795

Observation ac63450f-dfd5-450f-aa58-8b029df6082f · inbound

Federated Lightweight Fine-Tuning cites this paper.

Federated Lightweight Fine-Tuning SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 10

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no resolver link, observed 2026-08-01T17:36:04.235096Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:36:04.235096Z digest=sha256:f58e1e750ccbfc38b5a88effda160469bb5f3f807e70ff4ad9d6113a899aec89

Observation 0c6d08c8-15ca-45fa-a0b1-deedc0e60ebc · inbound

Sarus: Privacy-Preserving Multi-Vendor Perception Fusion via Homomorphic Encryption cites this paper.

Sarus: Privacy-Preserving Multi-Vendor Perception Fusion via Homomorphic Encryption SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 38

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source=pdf_text observed=2026-08-01T13:23:27.965342Z digest=sha256:13beb1f70030a6759d3e67ca9e495d8eb96bd18751710e71487c2b4985f15b28