Paper Citation Record · LEDGER

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2508.14539.

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

pith.paper-citation-record.v1
2508.14539 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:34:18.037926Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact5
verified fuzzy16
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 687a966b-4720-4d53-a3a9-c762a390192e · outbound

This paper cites Revisiting the Noise Model of Stochastic Gradient Descent.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Revisiting the Noise Model of Stochastic Gradient Descent

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:34:19.522226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1def8fc6-14b0-4eb2-afcf-436d1c3cb05f · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning LEAF: A Benchmark for Federated Settings

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:13.355653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d17583-9249-44f1-bc1c-a075b34c2407 · outbound

This paper cites On bridging generic and personalized federated learning for image classification.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning On bridging generic and personalized federated learning for image classification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:24.724994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17c53088-d4d6-4abb-9b7a-aa90d25e8c29 · outbound

This paper cites Towards understanding biased client selection in federated learning.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Towards understanding biased client selection in federated learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:24.404809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69f4bd51-e30f-45e1-a679-2738c201afb6 · outbound

This paper cites A general theory for client sampling in federated learning.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning A general theory for client sampling in federated learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:24.115839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e1451c8f-06b6-4599-8e56-f7c59c864f43 · outbound

This paper cites Towards Federated Learning on Time-Evolving Heterogeneous Data.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Towards Federated Learning on Time-Evolving Heterogeneous Data

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:34:19.213610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92bcbbfa-5289-4f13-83a3-63237a2d8ada · outbound

This paper cites The movielens datasets: History and context.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning The movielens datasets: History and context

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:14.230321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a4d97ce-5fd6-47e0-b81a-f28ea70a45f4 · outbound

This paper cites The non-iid data quagmire of decentralized machine learning.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning The non-iid data quagmire of decentralized machine learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:23.722332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d551abd-097f-4d12-b2cf-19f3ae248e29 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:14.625464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2459a83c-9c3d-4e13-9951-686aa94c549b · outbound

This paper cites Advances and open problems in federated learning.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Advances and open problems in federated learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:14.738987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites SCAFFOLD: Stochastic Controlled Averaging for Federated Learning.

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

Reference 11

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a87f1516-6b91-4dd1-ac09-cc17a69fd8ff · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Adam: A Method for Stochastic Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:15.045006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d2cde6-cd9a-4cfb-a0e9-effd8c7e60b4 · outbound

This paper cites Brownian motion in a field of force and the diffusion model of chemical reactions.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Brownian motion in a field of force and the diffusion model of chemical reactions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:23.335566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc94ebc3-817f-47b3-aae0-2f5819ef0d5e · outbound

This paper cites Gradient-based learning applied to document recognition.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Gradient-based learning applied to document recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:15.336631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976bc449-5f8e-4758-b6c6-511dfe7dcf4b · outbound

This paper cites Federated learning: Challenges, methods, and future directions.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Federated learning: Challenges, methods, and future directions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:22.960045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1048e8be-0ed4-4b73-b7b3-1fbbd43301ac · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Federated Optimization in Heterogeneous Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:15.615200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d287e8a-3764-4b8c-a97f-7fb385c4c884 · outbound

This paper cites Don't Use Large Mini-Batches, Use Local SGD.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Don't Use Large Mini-Batches, Use Local SGD

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:15.742186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee6a2df-6145-4286-9019-c5a8fe517447 · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Ensemble distillation for robust model fusion in federated learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:22.651313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation df127d46-07d4-4c32-b855-7cc9b9439c0d · outbound

This paper cites Eine neue herleitung des exponentialgesetzes in der wahrscheinlichkeitsrechnung.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Eine neue herleitung des exponentialgesetzes in der wahrscheinlichkeitsrechnung

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:22.310202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5b23b8c-6f0a-4244-934f-2a67eecc1765 · outbound

This paper cites Stochastic gradient descent as approximate bayesian inference.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Stochastic gradient descent as approximate bayesian inference

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:22.013009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ac481e1-5ed1-4374-85fd-3c014cfa345d · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:16.323624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554b0590-0f32-4d4c-93b6-40b0f83c20c6 · outbound

This paper cites Fedfast: Going beyond average for faster training of federated recommender systems.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Fedfast: Going beyond average for faster training of federated recommender systems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:21.671460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a914f633-5fdd-4b53-8ec1-6eececf4d58b · outbound

This paper cites Adaptive Federated Optimization.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Adaptive Federated Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:16.473704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a05c9c-f804-4ff9-86f5-5c5073afa0a1 · outbound

This paper cites A tail-index analysis of stochastic gradient noise in deep neural networks.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning A tail-index analysis of stochastic gradient noise in deep neural networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:16.615389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a72657a-1331-4fd4-aca6-6c2025ecc79f · outbound

This paper cites Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:34:18.896031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ddbc2761-6207-43a1-8b16-3261fcfe8659 · outbound

This paper cites On the noisy gradient descent that generalizes as sgd.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning On the noisy gradient descent that generalizes as sgd

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:21.421915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 28f14951-1895-4f87-926f-18dd21acc06b · outbound

This paper cites Understanding Short-Horizon Bias in Stochastic Meta-Optimization.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Understanding Short-Horizon Bias in Stochastic Meta-Optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:17.015864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6542ec94-46c2-478e-bb2f-b39789bcf182 · outbound

This paper cites A diffusion theory for deep learning dynamics: Stochastic gradient descent exponentially favors flat minima.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning A diffusion theory for deep learning dynamics: Stochastic gradient descent exponentially favors flat minima

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:21.069031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e1c9b0ea-19f5-42aa-8b25-d9c3655b85d0 · outbound

This paper cites Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:34:18.649125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9325a8b-f735-416a-91ad-d1d917b55273 · outbound

This paper cites Lookahead optimizer: k steps forward, 1 step back.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Lookahead optimizer: k steps forward, 1 step back

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:20.830275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd50ba79-12cf-4f16-8927-0d5caa48ea66 · outbound

This paper cites Federated Learning with Non-IID Data.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Federated Learning with Non-IID Data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T18:34:17.507842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2299e7b7-a089-4333-9c29-4559f7161bd3 · outbound

This paper cites Deep interest network for click-through rate prediction.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Deep interest network for click-through rate prediction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:20.575603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 60ccadaf-5e0d-4db8-a4b1-e284bb03807c · outbound

This paper cites Diurnal or nocturnal? federated learning of multi-branch networks from periodically shifting distributions.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Diurnal or nocturnal? federated learning of multi-branch networks from periodically shifting distributions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:20.187966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c9b49445-bc9c-44b3-ad47-c54cb10d049c · outbound

This paper cites The anisotropic noise in stochastic gradient descent: Its behavior of escaping from sharp minima and regularization effects.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning The anisotropic noise in stochastic gradient descent: Its behavior of escaping from sharp minima and regularization effects

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:34:19.888717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db44e10b-980a-41bf-9c1e-3e0d37f81c46 · outbound

This paper cites Strength of Minibatch Noise in SGD.

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning Strength of Minibatch Noise in SGD

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:34:18.342578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.