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Paper Citation Record · LEDGER

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.15403.

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

pith.paper-citation-record.v1
2503.15403 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:27:19.828303Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:36:48.475860Z

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 8d621292-4cff-41d1-b659-2041011dbda8 · inbound

A Survey of Quantum Generative Adversarial Networks: Architectures, Use Cases, and Real-World Implementations cites this paper.

A Survey of Quantum Generative Adversarial Networks: Architectures, Use Cases, and Real-World Implementations HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:19.828303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:19.828303Z digest=sha256:bf22e61352aeffd95f266901de8b2c4526d01110eaa511d7188cc05b7408dc55

Observation 704a7599-6a93-4655-b451-08c3bf0b733a · inbound

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection cites this paper.

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:27.747322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:27.747322Z digest=sha256:7f51c987176cfc99a7a9fce3901cc362f65c36c3988317319ad8e89ad1c4de25

Observation fcb2df75-41b8-483f-ad0a-cf578ba73ef7 · inbound

RobQFL: Robust Quantum Federated Learning in Adversarial Environment cites this paper.

RobQFL: Robust Quantum Federated Learning in Adversarial Environment HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T05:51:20.697621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:51:20.697621Z digest=sha256:90f7b5b0672ac0ec656185a2cd373d4256dde128f3e4f914de812c253733ddd5

Observation d34588c4-7ad4-4f89-a8a6-f1b7a95a3d79 · inbound

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates cites this paper.

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T17:29:11.408186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:29:11.408186Z digest=sha256:c277727b87393a87e3ca43dbab30165beac502f8557b5e4f21549af6db69dee3

Observation 56ca7fe4-3bfc-40a6-9cf8-413e12eafe01 · inbound

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference cites this paper.

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:20:01.924755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T13:19:59.354430Z digest=sha256:83937049e92077c468940e75762857b59e0b3498bdd8c07365937e41d493850f

Observation f81e167a-69f5-42d5-86e3-7545db0cc090 · inbound

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference cites this paper.

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-15T00:00:49.391141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T00:00:49.391141Z digest=sha256:9e047220eb1170b30c6426f86e961c3a82b0054ae9c99c30ff23886da00f0981

Observation 52e6fc9c-aa21-4aec-863c-4e86b05ec148 · inbound

Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics cites this paper.

Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:30:51.536295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:47:38.574236Z digest=sha256:6bb5569e12cc6a17a00c33068b6e7f0cda17e2e1fb9375014ca353fac779d940

Observation a1ae0dfc-58a0-46c7-b96a-3b9c43a35c4b · inbound

Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation cites this paper.

Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:36:01.777809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:33:25.684038Z digest=sha256:6fc3b058dc6fc1c84576143633a0007514ce18e00e6ab92b06c297b953777a3c

Observation 2881c46f-488f-4509-a873-1de61f13b05c · inbound

Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation cites this paper.

Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T15:57:29.775358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:57:29.775358Z digest=sha256:250381ffcfbdffbe4926d6b1f59898bcce79f589b1ccb989082f4e91afa6276a

Observation 6e63e14b-9512-4786-b521-623889ed85cb · inbound

QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation cites this paper.

QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:36:48.477218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T05:52:28.150626Z digest=sha256:a3bca7b566dac850122c06272198b1bc98351ee0ef9b59b23c0f46623db696b5