Paper Citation Record · LEDGER

FedQNN: Federated Learning using Quantum Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.10861.

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

pith.paper-citation-record.v1
2403.10861 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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:58:52.008074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:10:22.028779Z

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 b4fe8f2f-bb9d-4e0f-b02b-5bb2818f2c5c · inbound

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements cites this paper.

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements FedQNN: Federated Learning using Quantum Neural Networks

Reference 193

Resolution: unresolved; no resolver link, observed 2026-08-10T19:58:52.008074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 387afbcc-8460-4626-8215-b203d40f9236 · inbound

Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics cites this paper.

Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics FedQNN: Federated Learning using Quantum Neural Networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:31.378885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2f9b6a86-de23-4b1a-908e-293ca6dfa0d9 · inbound

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks cites this paper.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks FedQNN: Federated Learning using Quantum Neural Networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:10:22.031377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ea4a7f8-630c-467d-aa68-5cc43803cc44 · inbound

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks cites this paper.

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks FedQNN: Federated Learning using Quantum Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T13:23:38.773758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.