Paper Citation Record · LEDGER

Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.11525.

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

pith.paper-citation-record.v1
2405.11525 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:32.871354Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:17:59.320738Z

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 b4bc13c0-a555-49b2-906a-1386fc46a1bf · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:32.871354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c47f7a1a-18a5-4ddf-bbd1-89f3bee97e52 · inbound

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer cites this paper.

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:38.579348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe26bacc-2c8e-459f-af70-74fae538fcd8 · inbound

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration cites this paper.

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:47:01.189349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f03ad375-05be-4f5a-bbcc-6966c9101ac6 · inbound

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery cites this paper.

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:17:59.322883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.