Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2208.02507.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:08.014894Z
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 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 2026-08-08T06:32:00.761636+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.