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Paper Citation Record · LEDGER

AI-driven Reverse Engineering of QML Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.16929.

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

pith.paper-citation-record.v1
2408.16929 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:10.678582Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:31:10.560336Z

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 428a0217-6a4d-4d8c-8023-cd151d664247 · inbound

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses cites this paper.

Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses AI-driven Reverse Engineering of QML Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:10.678582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:22:10.678582Z digest=sha256:60d76ce03e18b5abf4726961d93ef101d280629ed23ae3e7d57f0f7fff871ca9

Observation 9da25dd8-79bf-46c3-a6f9-6317dbf84930 · inbound

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks cites this paper.

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks AI-driven Reverse Engineering of QML Models

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:31:10.565136Z

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=2026-08-06T21:31:10.529735Z digest=sha256:e9b1dd93932a7dd985c66f86dbf4771480a955277840daca8e2eb671ed0474cd