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Paper Citation Record · LEDGER

QFAL: Quantum Federated Adversarial Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.21171.

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

pith.paper-citation-record.v1
2502.21171 v1

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:21:11.385435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:43:59.137407Z

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 5101862c-c844-4970-9dea-e6080703edba · inbound

Sculpting Quantum Landscapes: Fubini-Study Metric Conditioning for Geometry Aware Learning in Parameterized Quantum Circuits cites this paper.

Sculpting Quantum Landscapes: Fubini-Study Metric Conditioning for Geometry Aware Learning in Parameterized Quantum Circuits QFAL: Quantum Federated Adversarial Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T22:21:11.385435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:21:11.385435Z digest=sha256:bec9e2aa80c8dc7f90aae624c10ddd8029f06454c343593459017d17fdf46ba8

Observation 18616d1d-a2f4-4ebc-8186-67c008bf067f · 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 QFAL: Quantum Federated Adversarial Learning

Reference 126

Resolution
unresolved
no resolver link, observed 2026-08-05T17:37:45.865830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:37:45.865830Z digest=sha256:267c6d3cd2d7325bebcdf529739ea025b51612996e6ae3837bed789b9025d77c

Observation 60d637f3-c3b6-4512-9e40-215858063155 · inbound

RobQFL: Robust Quantum Federated Learning in Adversarial Environment cites this paper.

RobQFL: Robust Quantum Federated Learning in Adversarial Environment QFAL: Quantum Federated Adversarial Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T05:51:20.735972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:51:20.735972Z digest=sha256:19ba2770e652a43fda2f57d3c287cf988ad1a254d46b86ccd41a5f5642781ff1

Observation 0a178e2e-c650-4d38-8e84-a49332d2a3a5 · inbound

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods cites this paper.

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods QFAL: Quantum Federated Adversarial Learning

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.507217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T22:26:40.181507Z digest=sha256:a86632bea115a6527e536df7e6ce61c79b3076e905c9b0fd74088a8dfb7ec536

Observation c36999fa-14f2-4777-8742-e3573f3da528 · inbound

Q-RAIL: A Reliability-Aware Framework for Quantum Federated Learning on Heterogeneous Noisy Hardware cites this paper.

Q-RAIL: A Reliability-Aware Framework for Quantum Federated Learning on Heterogeneous Noisy Hardware QFAL: Quantum Federated Adversarial Learning

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T21:43:59.139093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T21:40:41.555911Z digest=sha256:a84cffaff25f3cc648a35c16868083330fc3808da779392cc2836124879f36af