Paper Citation Record · LEDGER

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization

As of 5 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2604.12768.

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

pith.paper-citation-record.v1
2604.12768 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:20:43.523895Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

19 of 19 outbound references displayed

verified exact18
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84882b99-0c2c-4905-939b-d7335afdac25 · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Federated Learning Based on Dynamic Regularization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.574821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b53a12a-1c1b-4028-b2e0-44400040bf9d · outbound

This paper cites Caldarola, B.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Caldarola, B

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T15:51:55.713822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ef238908-fd66-49c6-8c2f-6a9a1f71dc59 · outbound

This paper cites Generalizable Adversarial Training via Spectral Normalization.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Generalizable Adversarial Training via Spectral Normalization

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.601069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4732a4ea-28c9-4e45-b518-7b10a8752639 · outbound

This paper cites FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.552396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2018370c-5408-44c5-8a72-0b85673b11a6 · outbound

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

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.837719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 68492440-f07d-4d53-8cb1-82b970e95e57 · outbound

This paper cites Fusion of Global and Local Knowledge for Personalized Federated Learning.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Fusion of Global and Local Knowledge for Personalized Federated Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.631841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2ab34a7a-abfb-40fd-b79a-2577f00e36a3 · outbound

This paper cites Layer-wise and Dimension-wise Locally Adaptive Federated Learning.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Layer-wise and Dimension-wise Locally Adaptive Federated Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.579056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ca202ab4-ea70-4d65-82d2-9970bc71d1ec · outbound

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

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Don't Use Large Mini-Batches, Use Local SGD

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.608101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 746bca67-3e66-4fc1-9af6-3d67954095d8 · outbound

This paper cites Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.546863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8ed65170-4f5c-444a-b907-9c493b64d969 · outbound

This paper cites A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.568849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 831e3188-f214-4474-a4f6-2e4cf8f14a24 · outbound

This paper cites Gradient Descent in the Absence of Global Lipschitz Continuity of the Gradients.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Gradient Descent in the Absence of Global Lipschitz Continuity of the Gradients

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.587125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eafb72ba-178f-4b9f-9676-d9ab025427cd · outbound

This paper cites Adaptive Federated Optimization.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Adaptive Federated Optimization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:30:59.208172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c9c36da5-727f-4dc3-be92-207a9a494a91 · outbound

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

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.529878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e3a311e3-4c56-4650-93e8-b7f560a35050 · outbound

This paper cites Improving the Model Consistency of Decentralized Federated Learning.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Improving the Model Consistency of Decentralized Federated Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.534053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99bf3fd2-9970-4580-834b-30b64adc7543 · outbound

This paper cites AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.537396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9851ea9f-c0c3-428f-9ff8-0d5fb5120a7e · outbound

This paper cites SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.555759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1291a00e-335f-4b7f-bba5-a7c5b09207ae · outbound

This paper cites Local Adaptivity in Federated Learning: Convergence and Consistency.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Local Adaptivity in Federated Learning: Convergence and Consistency

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.613531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88d9047a-2d62-46d7-8cc4-198ea48bebbd · outbound

This paper cites FedCM: Federated Learning with Client-level Momentum.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization FedCM: Federated Learning with Client-level Momentum

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.540717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ee6d2485-0a33-4601-a82f-ef8f98da1482 · outbound

This paper cites Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.623801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.