Paper Citation Record · LEDGER

ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2208.02507.

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

pith.paper-citation-record.v1
2208.02507 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:18.467865Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:37:14.212447Z

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 d936f215-6cf7-4797-b4c9-1efe12857dbe · inbound

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions cites this paper.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.467865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e18b4a-ad6d-4010-abd0-81ec12e8042d · inbound

PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning cites this paper.

PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:08.014894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ef5b0d4-269e-40d4-8ae5-606269d5f0c9 · inbound

SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention cites this paper.

SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:37:14.213941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0a23f287-3300-43a8-83f6-1874bd49933a · inbound

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages cites this paper.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:42.044805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 973a34d0-c9d2-4504-a9b9-d5bbb2ea1721 · inbound

DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training cites this paper.

DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:14.782996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1424e056-fe05-4ebf-8095-88f9e974123e · inbound

Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients cites this paper.

Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T10:59:56.662419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.