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Paper Citation Record · LEDGER

Analysis of quantum neural network performance via edge cases

As of 15 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.12427.

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

pith.paper-citation-record.v1
2506.12427 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:56:19.810111Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 062ee252-1190-4eaa-9697-2212f8880f50 · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Analysis of quantum neural network performance via edge cases PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:18.655513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:18.655513Z digest=sha256:772001c96a0fd4bac1561252edbd9ba542c3600bf1e8dcc68ad3fe3a35a869e6

Observation 2a7b44fe-e0c3-459b-b894-3e7087a90cb3 · outbound

This paper cites Learning surrogate models for simulation-based optimization,.

Analysis of quantum neural network performance via edge cases Learning surrogate models for simulation-based optimization,

Reference 2

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unresolved
no resolver link, observed 2026-08-07T00:56:18.716022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:18.716022Z digest=sha256:032f0e1eb21d280ad9a98275378e61768889b36b8703b737e2f9f528b40f251c

Observation 82e49996-8500-4a87-97ca-b53929f9a09a · outbound

This paper cites Performance evaluation of different machine learning techniques for prediction of heart disease,.

Analysis of quantum neural network performance via edge cases Performance evaluation of different machine learning techniques for prediction of heart disease,

Reference 3

Resolution
verified exact
doi, observed 2026-08-07T00:56:20.436709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T00:56:18.799854Z digest=sha256:74dc2c611b09149811e80718ae6c14d36cb2ca025e0bb663a1d935072e9a2e4f

Observation 06cbf7fa-68bb-4e37-9889-828c845b2938 · outbound

This paper cites On random graphs. I.

Analysis of quantum neural network performance via edge cases On random graphs. I

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:56:21.854498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T00:56:18.869525Z digest=sha256:2c131c68a26f88535320801ce41d100b50703090b797e33155969fe76613fbd2

Observation f3600e78-8277-4f24-8f9e-f5cf237bbffe · outbound

This paper cites Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward,.

Analysis of quantum neural network performance via edge cases Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:56:21.611066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T00:56:18.968354Z digest=sha256:1115ab909570bf312e47c2b3670a200d4845ea5081b9e5644f97a0babc2428a7

Observation 2100e82f-f6a5-4adf-b6e6-8378ff2e21f7 · outbound

This paper cites Performance Evaluation in Machine Learning,.

Analysis of quantum neural network performance via edge cases Performance Evaluation in Machine Learning,

Reference 6

Resolution
verified exact
doi, observed 2026-08-07T00:56:20.208751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T00:56:19.085746Z digest=sha256:d53f1f38001785431c6f0f3669ce5a9760211cc76a8c73407750ac23765f2e3a

Observation 1387093a-c641-42db-bad2-ce50b7c84421 · outbound

This paper cites Performance measures in evaluating machine learning based bioinformatics predictors for classifications,.

Analysis of quantum neural network performance via edge cases Performance measures in evaluating machine learning based bioinformatics predictors for classifications,

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T00:56:20.070689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T00:56:19.168261Z digest=sha256:67b67b8c90e99096cb2ab078c18a1cade39e3f28497b6f2fd41c9b57707a97c0

Observation 8c8173d4-8341-44f9-bc1d-4afc5becd755 · outbound

This paper cites Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques,.

Analysis of quantum neural network performance via edge cases Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:56:21.377067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T00:56:19.262165Z digest=sha256:8b36ab2efdb92d2c9cd0e11dd24ee0f90f69cb4549bf8333067f02e8b50bba4c

Observation 87a2db32-3e9b-486f-8027-c113b6ff3759 · outbound

This paper cites Permutation-invariant quantum circuits.

Analysis of quantum neural network performance via edge cases Permutation-invariant quantum circuits

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:19.351693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:19.351693Z digest=sha256:ce11fb1fdf7281340bf81fad6d35ecdf412a27c3b20e2d61dd2dddccdde3a310

Observation 19537e63-1db5-4a61-b3b8-1b372ed8fe4d · outbound

This paper cites Scaling of symmetry-restricted quantum circuits.

Analysis of quantum neural network performance via edge cases Scaling of symmetry-restricted quantum circuits

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:19.406110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:19.406110Z digest=sha256:a251fb054669eb53115ad0690ef54776098877d522bcbe7ed136855d38bdaa9d

Observation f4b28ae2-fad4-453f-8f41-4cb06e248e1f · outbound

This paper cites Solving graph problems using permutation-invariant quantum machine learning.

Analysis of quantum neural network performance via edge cases Solving graph problems using permutation-invariant quantum machine learning

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:56:20.676969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T00:56:19.515721Z digest=sha256:d43f525ced1f5bf4b8aa73c49e61279d8607fe6df808c89d51c67e37f15237a8

Observation 64f1fde5-05dc-4b58-adcf-c4a49108949f · outbound

This paper cites A Review of Evaluation Metrics in Machine Learning Algorithms,.

Analysis of quantum neural network performance via edge cases A Review of Evaluation Metrics in Machine Learning Algorithms,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:19.630070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:19.630070Z digest=sha256:2d50ef80d1732b1d2e52e1709afe9b7638c9746d695e4f9b60a5fb55344860ff

Observation 8e3344fe-8693-47c1-95a5-4708fff7f3be · outbound

This paper cites Machine learning and uncertainty quantification for surrogate models of integrated devices with a large number of parameters,.

Analysis of quantum neural network performance via edge cases Machine learning and uncertainty quantification for surrogate models of integrated devices with a large number of parameters,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:56:21.050670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T00:56:19.718668Z digest=sha256:58198a78503d68bc7863e1c882ac71371a9c8ef687671f0b5f11b1c773f07550

Observation 7a9aed22-f766-4e11-9511-8e3bd6c0246a · outbound

This paper cites Evaluating Machine Learning Models and Their Diagnostic Value,.

Analysis of quantum neural network performance via edge cases Evaluating Machine Learning Models and Their Diagnostic Value,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T00:56:19.810111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:56:19.810111Z digest=sha256:5309cb68a27101ad5a87f5cb3ce14e33f997f748c866cbd2dce5d97a18a85124

Pith citing papers

No inbound Pith citation observations are available.