Paper Citation Record · LEDGER

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2301.09138.

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

pith.paper-citation-record.v1
2301.09138 v3

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:19:21.317895Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:02:09.507321Z

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 04802e76-8a27-4d40-8efa-1fb088c09c9a · inbound

A Shapley Value Estimation Speedup for Efficient Explainable Quantum AI cites this paper.

A Shapley Value Estimation Speedup for Efficient Explainable Quantum AI Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:56.662749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48996ea9-8d33-4876-a932-7c21ff155356 · inbound

Opportunities and limitations of explaining quantum machine learning cites this paper.

Opportunities and limitations of explaining quantum machine learning Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:02:09.512250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f34e7c9b-d55d-4612-9bda-5a09efa709d1 · inbound

QuXAI: Explainers for Hybrid Quantum Machine Learning Models cites this paper.

QuXAI: Explainers for Hybrid Quantum Machine Learning Models Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:19:21.317895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9dd3387-2ae2-48c3-95fa-fb0034d7308b · inbound

Observable Geometry for Effective Quantum Circuits cites this paper.

Observable Geometry for Effective Quantum Circuits Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T10:36:16.519970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.