Pith. sign in

Paper Citation Record · LEDGER

VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.13533.

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

pith.paper-citation-record.v1
2407.13533 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T13:35:47.878248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:36:36.018798Z

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 6d217a4b-22e1-466d-a4e1-070600741098 · inbound

Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor cites this paper.

Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:36:36.022304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T13:35:47.878248Z digest=sha256:2da85d037335c39fd9188e805ff01dc80b3bc91ea453bd650f42a4253d5c2699

Observation 70384533-01fb-4dcb-987d-31d1c5c313c2 · inbound

Quantum Artificial Intelligence for Mission-Critical Systems: Foundations, Architectural Elements, and Future Directions cites this paper.

Quantum Artificial Intelligence for Mission-Critical Systems: Foundations, Architectural Elements, and Future Directions VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-21T19:00:30.489917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T18:57:57.542438Z digest=sha256:d9cba7a71ec7bc3d77aef8109c064a611a5ac0fc0958d18203ccd700a264640d

Observation 0924d29d-9fbf-4592-882a-18bce12de527 · inbound

Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks cites this paper.

Quantum Interval Bound Propagation for Certified Training of Quantum Neural Networks VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:09.156341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:34:11.133580Z digest=sha256:190ef134b8b89f894e3029e648ddcdfbf999cd3d4179718b12d649a470d15eb4