Paper Citation Record · LEDGER

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2508.12670.

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

pith.paper-citation-record.v1
2508.12670 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:21:36.586563Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy7
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 549da369-8197-455f-876b-8bf9a8ffede0 · outbound

This paper cites Nguyen, A.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Nguyen, A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:21:37.228541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e900505e-1a95-4b70-86ee-8b1a9dac5137 · outbound

This paper cites Sch¨urholt, K.; Knyazev, B.; Gir´o-i Nieto, X.; and Borth, D.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Sch¨urholt, K.; Knyazev, B.; Gir´o-i Nieto, X.; and Borth, D

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:21:37.207388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e75c42bf-6225-410a-99a7-31f826fa2ab7 · outbound

This paper cites Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T19:21:36.481794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2e9701-e88c-4841-bc8f-66d6cbd8dc09 · outbound

This paper cites Example-based Hypernetworks for Out-of-Distribution Generalization.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Example-based Hypernetworks for Out-of-Distribution Generalization

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T19:21:36.791345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3368f353-9c83-483c-989d-bca62d718882 · outbound

This paper cites Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T19:21:36.757675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b6550b5-c57b-4670-befb-5eb41e798249 · outbound

This paper cites In Proceedings of the IEEE/CVF International Conference on Computer Vision, 5031–5040.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions In Proceedings of the IEEE/CVF International Conference on Computer Vision, 5031–5040

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:21:37.076016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 458587d5-271d-45f6-9e87-bab09a3b5359 · outbound

This paper cites Recently, FedIG (Seunghan et al.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Recently, FedIG (Seunghan et al

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T19:21:37.033302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5440d7c0-df32-4745-a29d-6d3f3e3ee5f3 · outbound

This paper cites Karimireddy, S.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Karimireddy, S

Reference 456

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:21:37.246077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c651a007-721f-406d-b82c-4f11f89c2f88 · outbound

This paper cites Personalized Federated Learning: A Meta-Learning Approach.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions Personalized Federated Learning: A Meta-Learning Approach

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-05T19:21:36.425760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 706532b4-62ca-4de1-8043-f68dc45662e9 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions On the Convergence of FedAvg on Non-IID Data

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T19:21:36.441557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a06eb7-4adc-498d-8065-928e7e95322c · outbound

This paper cites In International conference on machine learning, 2089–2099.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions In International conference on machine learning, 2089–2099

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:21:37.269046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09d41976-dc80-49f8-b3da-dd56037bc010 · outbound

This paper cites PeFLL: Personalized Federated Learning by Learning to Learn.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions PeFLL: Personalized Federated Learning by Learning to Learn

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T19:21:36.467346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 043a7f1b-8dc8-4f0b-9cbb-6105e0635de1 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3954–3963.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3954–3963

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:21:37.132159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 580ef4b7-7275-4f5f-ad6b-a58e90d15a8a · outbound

This paper cites In Proceed- ings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 112–125.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions In Proceed- ings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 112–125

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:21:37.172677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f69c06de-620b-42ed-a305-0f0d9bc6863f · outbound

This paper cites E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T19:21:36.674749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.