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Paper Citation Record · LEDGER

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2501.15728.

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

pith.paper-citation-record.v1
2501.15728 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:02:42.157412Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44f4ab4d-3ce6-4db0-90f7-7dc034bb452b · outbound

This paper cites Numerical Analysis of a Bimetallic-Based Surface Plasmon Resonance Biosensor for Cancer Detection,.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Numerical Analysis of a Bimetallic-Based Surface Plasmon Resonance Biosensor for Cancer Detection,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.083174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.083174Z digest=sha256:52ce29cc2b53979d939c120abc5521dc345d5248c6b38c3afc5c5c7cfa1aaf29

Observation 48bac665-cad3-49f0-b8b0-3084dfd4dbcd · outbound

This paper cites A study of permission-based malware detection using machine learning,.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance A study of permission-based malware detection using machine learning,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.090701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.090701Z digest=sha256:9cc07244b14b3b70e731b256d87b2e49332b8699e353cf0786b42ae1679d10f1

Observation d1bb84a7-840b-4e9b-9ef0-44abf330e5c2 · outbound

This paper cites Multimodal Federated Learning with Model Personalization,.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Multimodal Federated Learning with Model Personalization,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.098252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.098252Z digest=sha256:96422496433e91e627c71e4db1be45309d853813ec2e7427b7cf44c7bb429543

Observation 730b13a0-5889-4b40-a697-9672dea11e92 · outbound

This paper cites Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.103954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.103954Z digest=sha256:b15dd7e56b0032af00b7b31056388e115e68352d64e95149380108b257cf3d49

Observation 27181a61-d645-45fc-a061-a6ef09557ff8 · outbound

This paper cites Improved modulation recognition using personalized federated learning,.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Improved modulation recognition using personalized federated learning,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.109687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.109687Z digest=sha256:7e6c5d446306ec6930d7dc0de6cd3af2eb7cac6cbd58970e6b8c937eff317e26

Observation 5a748f7d-727a-4e53-acef-0ce40f6926ed · outbound

This paper cites Federated multi-task learning,.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Federated multi-task learning,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.115326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.115326Z digest=sha256:b7a538635c153619de31c3ef14cbd1fa41ff1dbba52b1af0d365ba72ae957516

Observation a278003a-875d-42e3-8ea1-ad78ef26fdba · outbound

This paper cites Federated Learning of a Mixture of Global and Local Models.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Federated Learning of a Mixture of Global and Local Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.123022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.123022Z digest=sha256:35a23bddc8d15e79d3af03a9ae42b7addab46b26ef6db7dd34be08c72eed2130

Observation f736b061-56c8-4f23-ae46-d9f9a08b006f · outbound

This paper cites Multi-Source Cross-Lingual Model Transfer: Learning What to Share.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Multi-Source Cross-Lingual Model Transfer: Learning What to Share

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.128481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.128481Z digest=sha256:bace7729ba2c399f7fa0e943bf465191f82999b6e86a830f40b8e38adff95d96

Observation f062b088-f94a-4531-8ae3-d6b76abe44e2 · outbound

This paper cites A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection,.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.134255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.134255Z digest=sha256:759f177f73b3ff373ce92b3fe47e9df9303e93cf54bb1cd2c9ec92dc9646921c

Observation f096f980-5724-4372-990a-962a732293ac · outbound

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

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.139631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.139631Z digest=sha256:53ae9de43ae58369fbf2cb892bed9ec5c19945001b2ce972675afbe703e001aa

Observation be08fae3-ea94-46b1-b27c-e373ab541830 · outbound

This paper cites Survey of Personalized Federated Learning: A Taxonomical and Critical Review,.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Survey of Personalized Federated Learning: A Taxonomical and Critical Review,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.145659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.145659Z digest=sha256:26124b1a3fa4f6e6b80493f79e28ff54ff83db1e9fac8794e1f86e91bd94ee13

Observation 9c17f133-37a4-451a-860e-c0d8dfca226b · outbound

This paper cites Murray, Feedback Systems: An Introduction for Scientists and Engineers , Princeton University Press, 2010.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Murray, Feedback Systems: An Introduction for Scientists and Engineers , Princeton University Press, 2010

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.151377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.151377Z digest=sha256:07c2c88a6a9ae9c68e1c389364b9b9d27289f9f30598451b5b3bbaf10ef02783

Observation be3c2f69-8461-477f-b778-bf197f54c853 · outbound

This paper cites Convergence of federated learning upon limited communication,.

Integrating Personalized Federated Learning with Control Systems for Enhanced Performance Convergence of federated learning upon limited communication,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T14:02:42.157412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:02:42.157412Z digest=sha256:db67312ab60bf73c83f2b676e8561dc53d6beb7a47194854aac78823c9028d1f

Pith citing papers

No inbound Pith citation observations are available.