Paper Citation Record · LEDGER

Think Locally, Act Globally: Federated Learning with Local and Global Representations

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2001.01523.

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

pith.paper-citation-record.v1
2001.01523 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:29.917269Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:17:42.611742Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 636f36fc-d9a5-4041-aef9-6045d91b35f8 · inbound

FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services cites this paper.

FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T19:37:33.591050Z

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Observation 05380936-1464-49ab-85d3-9c5cac117e80 · inbound

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles cites this paper.

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T15:46:43.501831Z

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Observation eb87da5f-6631-483b-89d8-e41ef86c99ed · inbound

UA-PDFL: A Personalized Approach for Decentralized Federated Learning cites this paper.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.514091Z

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Observation 7b68fdd8-c33c-4deb-baaf-f512ee6ea6eb · inbound

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift cites this paper.

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T11:46:08.274795Z

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Observation 3d9504ca-4e3a-4582-b82e-28a8be300b62 · inbound

fluke: Federated Learning Utility frameworK for Experimentation and research cites this paper.

fluke: Federated Learning Utility frameworK for Experimentation and research Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:12.552482Z

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Observation ce485c7e-362f-46ab-84c7-0e76f8d87f89 · inbound

GeFL: Model-Agnostic Federated Learning with Generative Models cites this paper.

GeFL: Model-Agnostic Federated Learning with Generative Models Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T04:45:42.303166Z

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Observation 091ea941-e79e-41a9-99e2-d26e2ba949f4 · inbound

Delayed Random Partial Gradient Averaging for Federated Learning cites this paper.

Delayed Random Partial Gradient Averaging for Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:47:41.340404Z

Source-reported events for the cited work

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Observation 4e4b4fca-1f68-48fd-8cba-979c57fc3184 · inbound

Personalized Language Model Learning on Text Data Without User Identifiers cites this paper.

Personalized Language Model Learning on Text Data Without User Identifiers Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:35.415246Z

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Observation a02ec770-73ad-49ab-a688-148a487f2a09 · inbound

Towards Understanding Extrapolation: a Causal Lens cites this paper.

Towards Understanding Extrapolation: a Causal Lens Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:16:03.182081Z

Source-reported events for the cited work

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Observation 5a466970-c1eb-4080-b92f-95b7a575a6d3 · inbound

SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning cites this paper.

SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T00:22:30.682868Z

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Observation 30350f0c-475f-477d-a921-4e8ad4d2a30f · inbound

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning cites this paper.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T19:22:37.999982Z

Source-reported events for the cited work

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Observation 8e18b662-6abf-4f90-adef-f1e5dd2f3a15 · inbound

Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach cites this paper.

Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 978

Resolution: unresolved; no resolver link, observed 2026-08-09T16:30:39.078044Z

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Observation e019f625-530b-4d3a-837e-496338fe917c · inbound

The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective cites this paper.

The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T05:31:11.618558Z

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Observation ba5b937d-8827-490c-9af7-980934d65460 · inbound

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning cites this paper.

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:52:17.086171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1512decc-f684-4d69-8604-502d52955491 · inbound

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning cites this paper.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:57.856012Z

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Observation e09e6fdc-cb81-4da3-b975-76e750144b93 · inbound

Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning cites this paper.

Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:24:27.432753Z

Source-reported events for the cited work

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Observation d21231c3-bd80-43dc-8955-7b955938d0a9 · inbound

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization cites this paper.

Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:29.917269Z

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Unavailable: canonical work link unavailable.

Observation 9f58ea32-9069-481e-ac58-51ea16e7da1f · inbound

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark cites this paper.

HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:14.977190Z

Source-reported events for the cited work

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Observation 2a03393d-bb1b-4561-b778-2e215b4f7517 · inbound

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems cites this paper.

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:42.051401Z

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Observation 4808f5e2-3d3d-4205-88e9-1b838d506e80 · inbound

Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion cites this paper.

Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T22:19:14.646036Z

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Observation 6a4646f4-ab41-4767-b29a-394b8940f1e6 · inbound

Heterogeneous Federated Learning with Prototype Alignment and Upscaling cites this paper.

Heterogeneous Federated Learning with Prototype Alignment and Upscaling Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:55:03.522793Z

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Observation b0cc8246-dfdf-465e-bdb2-229ae921c9ab · inbound

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments cites this paper.

TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:04.102767Z

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Observation aac27652-da5f-45cd-8577-770f55af49a3 · inbound

Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning cites this paper.

Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:20:56.308439Z

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Observation 694fc30c-45f3-4eed-896f-43a82128e650 · inbound

Adaptive collaboration for online personalized distributed learning with heterogeneous clients cites this paper.

Adaptive collaboration for online personalized distributed learning with heterogeneous clients Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:52.503011Z

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Observation 1c89d1cb-32e7-454e-ab36-b06819324026 · inbound

Generalizable Federated Learning using Client Adaptive Focal Modulation cites this paper.

Generalizable Federated Learning using Client Adaptive Focal Modulation Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T20:19:07.124917Z

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Observation 829ddd25-0ceb-4e6e-9511-a5d70280f4de · inbound

Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination cites this paper.

Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T17:06:54.432638Z

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Observation d7ec1770-5d47-4a9e-afda-7cf1a1eed416 · inbound

PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes cites this paper.

PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T11:38:37.244326Z

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Observation cddcc849-39fd-4cc6-a043-24d82a98b89a · inbound

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning cites this paper.

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T20:06:13.472390Z

Source-reported events for the cited work

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Observation 56f3bf48-22e9-4d8e-8cb6-d9e3c7e460a1 · inbound

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models cites this paper.

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T19:32:09.325085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005daa20-3c59-4511-9c14-eacfba10d9c4 · inbound

FedOBP: Federated Optimal Brain Personalization through Cloud-Edge Element-wise Decoupling cites this paper.

FedOBP: Federated Optimal Brain Personalization through Cloud-Edge Element-wise Decoupling Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:32:52.092180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02db921e-c3c2-4c2b-a9e4-50f8da0a2a19 · inbound

From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning cites this paper.

From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:51:10.825046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 956e3c7d-8f12-44d0-b2d7-e2d09517d43c · inbound

On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems cites this paper.

On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:57.341944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a04c1d76-879e-4afa-ac54-6e51a762630a · inbound

FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs cites this paper.

FedCoE: Bridging Generalization and Personalization via Federated Coordinated Dual-level MoEs Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:29:42.153513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34a0e7c6-ee86-45aa-8675-bd7490efcabd · inbound

FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning cites this paper.

FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:40.158098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d16e5f76-c239-4bc1-8081-9306bf620a49 · inbound

From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning cites this paper.

From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:17:42.613158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5feeec16-fda5-47f9-9b81-3f9c310ec2b0 · inbound

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.

Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 123

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T16:44:56.430552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81c7a864-319c-40c7-a002-c6c7724eb5f4 · inbound

FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning cites this paper.

FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T20:41:07.065527Z

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Observation d4f22f4a-e9ca-4801-9b7a-82f40c362a24 · inbound

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes cites this paper.

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T00:13:13.359376Z

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Observation 8a04f1c8-a548-497c-9ba5-39d5657fd3d2 · inbound

Sheaf-Based Federated Representation Learning cites this paper.

Sheaf-Based Federated Representation Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T00:38:26.358315Z

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