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Paper Citation Record · LEDGER

Learning Robust Observable to Address Noise in Quantum Machine Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.07632.

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

pith.paper-citation-record.v1
2409.07632 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:03:54.322267Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f92825a4-0c8c-4f18-8e1e-bf1dc86906fe · inbound

Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise cites this paper.

Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Learning Robust Observable to Address Noise in Quantum Machine Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:54.322267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:03:54.322267Z digest=sha256:79418090733149d1fe77d3db44aefa2f2e90ce0d912498715fb73297683159b5

Observation bc3dfea7-8ce6-4f39-a344-2e0637e9efc7 · inbound

Noisy-QSMOTE: Robustness Analysis of Quantum SMOTE under Quantum-Inspired Noise for Condition Monitoring and Fault Classification in Industrial and Energy Systems cites this paper.

Noisy-QSMOTE: Robustness Analysis of Quantum SMOTE under Quantum-Inspired Noise for Condition Monitoring and Fault Classification in Industrial and Energy Systems Learning Robust Observable to Address Noise in Quantum Machine Learning

Reference 32

Resolution
metadata mismatch
local_arxiv, observed 2026-08-03T10:08:27.025596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-03T10:06:16.899034Z digest=sha256:def7f4a88424137e8691ca67d385f39bdcd0b0c7a90eaee91624dac4d37733ab