Paper Citation Record · LEDGER

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling

As of 23 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2509.08385.

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

pith.paper-citation-record.v1
2509.08385 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:43:41.130887Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

18 of 18 outbound references displayed

verified exact1
verified fuzzy9
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69b338df-8c2e-44bb-8c72-c1711f8ba25c · outbound

This paper cites Circuit Design based on Feature Similarity for Quantum Generative Modeling.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling Circuit Design based on Feature Similarity for Quantum Generative Modeling

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-04T20:43:41.379129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0554107-700d-420e-9882-4dc591e5274e · outbound

This paper cites ”Trainability barriers and opportunities in quantum generative modeling.” npj Quantum Information 10.1 (2024): 116.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”Trainability barriers and opportunities in quantum generative modeling.” npj Quantum Information 10.1 (2024): 116

Reference 2

Resolution: malformed identifier; raw_fallback, observed 2026-08-04T20:43:44.528302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0975778-15c1-4fcc-a492-02234221ba8d · outbound

This paper cites Optimizing Ansatz Design in Quantum Generative Adversarial Networks Using Large Language Models.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling Optimizing Ansatz Design in Quantum Generative Adversarial Networks Using Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T20:43:40.035638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad11af5a-3ada-4df1-9a96-edefadbdaecb · outbound

This paper cites ”The generative quantum eigensolver (GQE) and its application for ground state search.” arXiv preprint arXiv:2401.09253 (2024).

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”The generative quantum eigensolver (GQE) and its application for ground state search.” arXiv preprint arXiv:2401.09253 (2024)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T20:43:40.083693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0973958b-aebb-401a-9103-1d44de770454 · outbound

This paper cites ”Automating quan- tum feature map design via large language models.” arXiv preprint arXiv:2504.07396 (2025).

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”Automating quan- tum feature map design via large language models.” arXiv preprint arXiv:2504.07396 (2025)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T20:43:40.163143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 487ec2ff-7759-4e9e-a72d-dc239677d538 · outbound

This paper cites Quantum computing with Qiskit.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling Quantum computing with Qiskit

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T20:43:40.208620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5bd3ed-68ac-4050-a242-dd810a2e3b34 · outbound

This paper cites ”Scalable mitigation of measurement errors on quantum computers.” PRX Quantum 2.4 (2021): 040326.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”Scalable mitigation of measurement errors on quantum computers.” PRX Quantum 2.4 (2021): 040326

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:44.337038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a4198b9-cafa-4243-b805-e44b972ce015 · outbound

This paper cites ”Differentiable learning of quantum circuit born machines.” Physical Review A 98.6 (2018): 062324.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”Differentiable learning of quantum circuit born machines.” Physical Review A 98.6 (2018): 062324

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:44.028874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3440e19-2fd5-4a2a-87ec-4956f6e4683d · outbound

This paper cites ”A generative modeling approach for bench- marking and training shallow quantum circuits.” npj Quantum informa- tion 5.1 (2019): 45.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”A generative modeling approach for bench- marking and training shallow quantum circuits.” npj Quantum informa- tion 5.1 (2019): 45

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:43.701915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db8cf635-2396-4190-8074-b77903d9aee8 · outbound

This paper cites Hinton, and Terrence J.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling Hinton, and Terrence J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:43.497798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 23a9cfb1-ba8c-4e6d-830e-86ee65afcea4 · outbound

This paper cites an unresolved cited work.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-04T20:43:43.171269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 664f0f81-96da-4a00-9745-989f0448a742 · outbound

This paper cites ”Challenges and opportunities in quantum machine learning.” Nature computational science 2.9 (2022): 567-576.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”Challenges and opportunities in quantum machine learning.” Nature computational science 2.9 (2022): 567-576

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:42.931735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8623a6c6-7fa7-49ed-8ee2-2d81d1b35eb8 · outbound

This paper cites an unresolved cited work.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-04T20:43:42.662362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab234195-b970-4098-98e8-e7bc6db8dcca · outbound

This paper cites ”Quantum machine learning.” Nature 549.7671 (2017): 195-202.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”Quantum machine learning.” Nature 549.7671 (2017): 195-202

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:42.403385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d2e032c-f100-4969-864b-6d4b28568b6c · outbound

This paper cites ”Gpt-4o: The cutting-edge advancement in multimodal LLM.” Authorea Preprints (2024).

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”Gpt-4o: The cutting-edge advancement in multimodal LLM.” Authorea Preprints (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:42.069200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1052c115-a8d7-4cfa-a50e-340d885eac17 · outbound

This paper cites ”A kernel two-sample test.” The Journal of Machine Learning Research 13.1 (2012): 723-773.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”A kernel two-sample test.” The Journal of Machine Learning Research 13.1 (2012): 723-773

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:41.798801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31938adf-e53d-4c14-a369-246e14582f5b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling Adam: A Method for Stochastic Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T20:43:41.045934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e6f68c-662f-4fa5-85f0-ff9f38151a7b · outbound

This paper cites ”General parameter-shift rules for quantum gradients.” Quantum 6 (2022): 677.

LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling ”General parameter-shift rules for quantum gradients.” Quantum 6 (2022): 677

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:43:41.595861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.