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Paper Citation Record · LEDGER

Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.05047.

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

pith.paper-citation-record.v1
2306.05047 v3

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:19:21.313836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:23:54.962119Z

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 596e59e7-90ff-45bf-958b-28a643e5aea9 · inbound

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs cites this paper.

Investigating Parameter-Efficiency of Hybrid QuGANs Based on Geometric Properties of Generated Sea Route Graphs Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:23:54.968308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T20:23:54.888667Z digest=sha256:b92b72da55e6d02f36d28935600c7bdc01eb42f2c2622a3ff4329a04649115bb

Observation 2715e96c-7db9-4230-b517-6e82d7ec2d76 · inbound

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

QuXAI: Explainers for Hybrid Quantum Machine Learning Models Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T21:19:21.313836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:19:21.313836Z digest=sha256:d29aecd20f61bf55b39d2df5a7cd73177574f1d9b03da127d3ae550138c0466d