Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:19:14.646036Z

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
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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 2026-08-06T06:34:29.942622+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Unavailable: canonical work link unavailable.

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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.