Paper Citation Record · LEDGER

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2508.21246.

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

pith.paper-citation-record.v1
2508.21246 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:33:23.643142Z

measured 32 of 32 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 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

32 of 32 outbound references displayed

verified exact5
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier2
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65ae3828-081b-4353-b370-6ef546cf793b · outbound

This paper cites Quantum Deep Reinforcement Learning for Robot Navigation Tasks.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum Deep Reinforcement Learning for Robot Navigation Tasks

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:33:26.463216Z

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.

Observation eb3570b8-8411-407f-a384-0e28b202717d · outbound

This paper cites Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-05T14:33:21.082729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b66a6d80-894e-49f4-9c11-07414e89ecd5 · outbound

This paper cites Robust quantum-inspired reinforcement learning for robot navigation,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Robust quantum-inspired reinforcement learning for robot navigation,

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T14:33:26.339244Z

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.

Observation c671e1de-1890-4315-a5c6-3c6fd384da27 · outbound

This paper cites Quantum Reinforcement Learning,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum Reinforcement Learning,

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T14:33:26.108148Z

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.

Observation 62c2a834-f59a-473e-a2b0-fb745b5d9084 · outbound

This paper cites QRA: Quantum Reinforcement Agent for Generating Optimal Quantum Sensor Circuits,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits QRA: Quantum Reinforcement Agent for Generating Optimal Quantum Sensor Circuits,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:21.300957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c0837cd-5829-451a-8889-da096c75ff1c · outbound

This paper cites Variational Quantum Circuits for Deep Reinforcement Learning.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Variational Quantum Circuits for Deep Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:21.360463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb6901ba-892d-4e42-bd60-5eaed4d508d0 · outbound

This paper cites ReLAQA: Reinforcement Learning- Based Autonomous Quantum Agent for Quantum Applications,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits ReLAQA: Reinforcement Learning- Based Autonomous Quantum Agent for Quantum Applications,

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T14:33:25.732214Z

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.

Observation 12ac8452-a6d6-4274-a13c-c380058aab4b · outbound

This paper cites Quantum multi-agent reinforcement learning via variational quantum circuit design.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum multi-agent reinforcement learning via variational quantum circuit design

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:29.222273Z

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.

Observation 1a3a32e8-c6e1-4cbd-9a0f-2bb6178f8d4e · outbound

This paper cites Quantum reinforcement learning in continuous action space.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum reinforcement learning in continuous action space

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:21.612949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55e56e9-d484-4353-b02f-fe07d0e550ac · outbound

This paper cites Variational quantum reinforcement learning via evolutionary optimization.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Variational quantum reinforcement learning via evolutionary optimization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:28.938162Z

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.

Observation b65eda8c-aa9c-4614-8c3e-9ac8bc05468b · outbound

This paper cites Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:21.747242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c72be0f-641c-4c49-9cb6-e7ba2dc757d9 · outbound

This paper cites Measurement-Based Feedback Quantum Control with Deep Reinforcement Learning for a Double-Well Nonlinear Potential,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Measurement-Based Feedback Quantum Control with Deep Reinforcement Learning for a Double-Well Nonlinear Potential,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:28.631745Z

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.

Observation 95407b69-04ae-41cb-8618-01211af4d009 · outbound

This paper cites Model-Free Quantum Control with Reinforcement Learning,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Model-Free Quantum Control with Reinforcement Learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:28.399312Z

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.

Observation fa3ab679-a1ab-416f-89ab-eb7d8c91d1f3 · outbound

This paper cites Policy gradients using variational quantum circuits,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Policy gradients using variational quantum circuits,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:28.239075Z

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.

Observation fb79c7c4-8f27-4891-a05b-0436dc018336 · outbound

This paper cites Squeezed states of light,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Squeezed states of light,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:28.110159Z

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.

Observation aec20ef8-e22b-4b1d-b1fb-4d56fdc56cea · outbound

This paper cites Variational spin-squeezing algorithms on programmable quantum sensors,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Variational spin-squeezing algorithms on programmable quantum sensors,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:27.934873Z

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.

Observation 3a2dd559-df5d-4857-86c9-724a118cf515 · outbound

This paper cites Optimal metrology with programmable quantum sensors.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Optimal metrology with programmable quantum sensors

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:33:25.408687Z

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.

Observation 478e7d75-6b39-48e9-bc06-632a8eaf7dbf · outbound

This paper cites Quantum variational optimization of Ramsey interferometry and atomic clocks,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum variational optimization of Ramsey interferometry and atomic clocks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:27.757513Z

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.

Observation 759d652a-2793-4613-bc73-980a8b54cb8a · outbound

This paper cites Experiments with separated oscillatory fields and hydrogen masers,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Experiments with separated oscillatory fields and hydrogen masers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:27.599551Z

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.

Observation 00b8142d-eb1f-4a90-8a6b-433c442c3539 · outbound

This paper cites Quantum state control of a Bose- Einstein condensate in an optical lattice,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum state control of a Bose- Einstein condensate in an optical lattice,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:27.412952Z

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.

Observation 28977713-f8ba-4190-9ffb-10d4bddf0ca6 · outbound

This paper cites Statistical distance and the geometry of quantum states,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Statistical distance and the geometry of quantum states,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:27.228341Z

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.

Observation 8398dcdd-7d66-4c8a-a548-7d1868b9f1cd · outbound

This paper cites Introduction To Quantum Fisher Information,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Introduction To Quantum Fisher Information,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:27.074564Z

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.

Observation c892aa0e-ff10-408d-94e6-c2c4c48a0f04 · outbound

This paper cites Quantum Fisher information from randomized measurements,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum Fisher information from randomized measurements,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:26.922859Z

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.

Observation 682128ab-213e-4e9c-9fc0-36e571959218 · outbound

This paper cites Quantum Fisher information measurement and verification of the quantum Cramér–Rao bound in a solid-state qubit,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum Fisher information measurement and verification of the quantum Cramér–Rao bound in a solid-state qubit,

Reference 24

Resolution: verified exact; doi, observed 2026-08-05T14:33:24.269772Z

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.

Observation 3c51e5d9-e595-4c4c-bc40-d741b9fe2407 · outbound

This paper cites Reinforcement-learning-based matter-wave interferometer in a shaken optical lattice,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Reinforcement-learning-based matter-wave interferometer in a shaken optical lattice,

Reference 25

Resolution: verified exact; doi, observed 2026-08-05T14:33:24.098721Z

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.

Observation b1d9d717-4438-44ab-8ea4-cfde869e4ee7 · outbound

This paper cites A Quantum Rosetta Stone for Interferometry,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits A Quantum Rosetta Stone for Interferometry,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:26.769368Z

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.

Observation 67dc1126-67a4-47b6-9bf0-abbf3cd31769 · outbound

This paper cites Quantum computers: Registers, gates and algorithms,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum computers: Registers, gates and algorithms,

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T14:33:25.218029Z

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.

Observation 0ded9b43-f587-4f8f-8d02-c3f311c7dbe9 · outbound

This paper cites A Review on quantum computing: From qubits to front-end electronics and cryogenic mosfet physics,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits A Review on quantum computing: From qubits to front-end electronics and cryogenic mosfet physics,

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T14:33:24.908077Z

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.

Observation b8dd92d9-b25d-4fbd-b850-7210ed4485f9 · outbound

This paper cites Poincaré Husimi representation of eigenstates in quantum billiards,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Poincaré Husimi representation of eigenstates in quantum billiards,

Reference 29

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T14:33:26.598992Z

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.

Observation b7299f74-3f9b-4ba6-83ad-b50272ed65e0 · outbound

This paper cites arttner, T. Haas, and O. R. Stockdale,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits arttner, T. Haas, and O. R. Stockdale,

Reference 30

Resolution: verified exact; doi, observed 2026-08-05T14:33:23.922648Z

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.

Observation 8e2ec41d-6b2b-4a18-87ed-2e6b9fe52317 · outbound

This paper cites Quantum convolutional neural networks,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits Quantum convolutional neural networks,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:23.586856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba97958-b661-465a-b634-b8be2dcb0800 · outbound

This paper cites GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits,.

HCQA: Hybrid Classical-Quantum Agent for Generating Optimal Quantum Sensor Circuits GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits,

Reference 32

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T14:33:24.647258Z

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.

Pith citing papers

No inbound Pith citation observations are available.