Pith. sign in

Paper Citation Record · LEDGER

Towards Quantum Federated Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.09912.

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

pith.paper-citation-record.v1
2306.09912 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:30:39.774173Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:55:48.475774Z

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 13fada03-7424-43b0-8be9-34b4f4b822ef · inbound

Experimentally validated quantum-secure federated learning over a multi-user quantum network cites this paper.

Experimentally validated quantum-secure federated learning over a multi-user quantum network Towards Quantum Federated Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:07:34.809282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T05:07:16.105061Z digest=sha256:3c31a489efea8f3e4fbddc1938c46c6300c6de27d24230a129df2c0664393107

Observation 7e9c2359-19f1-4d5b-81d5-645370f57f78 · inbound

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers cites this paper.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Towards Quantum Federated Learning

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-09T16:30:39.774173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:30:39.774173Z digest=sha256:e32f7d992f1beeaea6dd717083c549fe16b74bd63011feff9d3b7f4e4fc9cccb

Observation 58c9ef8a-f2b9-448c-af2f-548821ebfa5e · inbound

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

New Insights on Unfolding and Fine-tuning Quantum Federated Learning Towards Quantum Federated Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:04:00.801555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:04:00.801555Z digest=sha256:10f281f1dfa74f15ad3296565c2c76333580bae3b1a7e7060158306e77fc746a

Observation 728a748f-4b8e-489b-807b-0a05ad1bc4b2 · inbound

Universal Fluctuations in the Tail Probability for d=2 Random Walks in Space-Time Random Environments cites this paper.

Universal Fluctuations in the Tail Probability for d=2 Random Walks in Space-Time Random Environments Towards Quantum Federated Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T17:37:35.161747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:37:35.161747Z digest=sha256:802baef5214505f62bce7b8ff7a1bd9b45968f470968f36eebceb81612a0d5a0

Observation 80291c52-8c37-4ae0-8e64-2f82694478b6 · inbound

Can Quantum Federated Learning Withstand Circuit-Level Backdoors? cites this paper.

Can Quantum Federated Learning Withstand Circuit-Level Backdoors? Towards Quantum Federated Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:55:48.477463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T18:35:58.848287Z digest=sha256:1098c4c33cf1f829c409476bfd5d089e5be905e8d79d780b7aa59814888774a3