Paper Citation Record · LEDGER

Quantum Federated Learning Experiments in the Cloud with Data Encoding

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.00909.

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

pith.paper-citation-record.v1
2405.00909 v1

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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:07.165061Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:04:01.277314Z

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 afab188b-752f-42f3-8471-6d0db3439264 · inbound

Modeling Quantum Machine Learning for Genomic Data Analysis cites this paper.

Modeling Quantum Machine Learning for Genomic Data Analysis Quantum Federated Learning Experiments in the Cloud with Data Encoding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:34:07.165061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6eeb6cf-7650-4fcd-bb5f-df9ad6450a2f · inbound

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning cites this paper.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Quantum Federated Learning Experiments in the Cloud with Data Encoding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:40.103916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33cbc50b-a489-4181-b834-a0c5b3a6d406 · inbound

New Insights on Unfolding and Fine-tuning Quantum Federated Learning cites this paper.

New Insights on Unfolding and Fine-tuning Quantum Federated Learning Quantum Federated Learning Experiments in the Cloud with Data Encoding

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:04:01.286342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b6de380c-ed33-4806-8ec7-fe4ec8b80e45 · inbound

A Drift Stable Quantum Federated Learning for Intelligent Services cites this paper.

A Drift Stable Quantum Federated Learning for Intelligent Services Quantum Federated Learning Experiments in the Cloud with Data Encoding

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T12:10:02.804386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.