Paper Citation Record · LEDGER

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.18208.

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

pith.paper-citation-record.v1
2412.18208 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T06:36:54.317812Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

46 of 46 outbound references displayed

verified exact10
verified fuzzy20
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29c60a68-0bfd-4a98-96e2-af3979526cf7 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.258838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 93eb9b88-45ff-49e4-9e9f-3f0fb7c84193 · outbound

This paper cites Graesser and W.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Graesser and W

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.280203Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d718d8b-d92d-4d92-ac04-665de72de19b · outbound

This paper cites Goodfellow, Y.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Goodfellow, Y

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.292657Z

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Observation 2bd9a016-3342-4623-9cd0-c167acad3924 · outbound

This paper cites Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:37:38.900453Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74ae5079-942e-499f-8f90-93799959c43d · outbound

This paper cites Kober, J.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Kober, J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.358805Z

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Observation 4cdb8ded-9750-4cb0-af23-1efcac9414a0 · outbound

This paper cites Silver, J.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Silver, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.244989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3b75b067-0263-4fa2-813f-73039ca82842 · outbound

This paper cites Brown and T.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Brown and T

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.248761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c85a3812-99e5-493f-9980-8dbdaae8f04d · outbound

This paper cites Challenges of Real-World Reinforcement Learning.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Challenges of Real-World Reinforcement Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:37:38.904997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 677ba3ec-050e-4282-8109-cb86f73aebd3 · outbound

This paper cites Silver, A.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Silver, A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.286717Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f9985d2d-2c28-4fb6-a20d-fd07cc3c1fed · outbound

This paper cites Assessing the Benefits and Risks of Quantum Computers.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Assessing the Benefits and Risks of Quantum Computers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:37:38.883046Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cce63520-b113-41e3-91a7-26c311675de0 · outbound

This paper cites A Survey on Quantum Reinforcement Learning.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search A Survey on Quantum Reinforcement Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:37:38.895859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 902cdd0c-6eff-44ae-9bca-b7a99a90f97d · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.255721Z

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Observation 0f5f815c-ea41-477c-9fa9-4ca21089d9e7 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.275765Z

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Observation f009c07e-28e3-449b-a4c6-cb9029206e5e · outbound

This paper cites Dao-Yi, C.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Dao-Yi, C

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.296198Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fce9c765-465b-4b1b-8784-90f0290ace07 · outbound

This paper cites Chen and D.-Y.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Chen and D.-Y

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.252403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c6da91fb-7e8f-4257-936d-109ea53b923c · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.272251Z

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Observation f761d728-ce9b-431c-8ae1-40546b3cd2f6 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.302644Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50d16caf-afda-4b6c-9557-fc7255eb5a00 · outbound

This paper cites Ganger and W.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Ganger and W

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.261953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3d648b5-ec6a-41de-a962-f88d3862cb93 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.346960Z

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Observation 2fa8e1c8-f9d3-47b2-9bae-a3e11b6255ac · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.350070Z

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Observation d2887c07-2ec2-4e5e-a62e-125ea9ba30b3 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.353001Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ce598e61-ca84-46e0-b854-459c8d7a39ac · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.334738Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ea46d389-8fcf-4363-a7e2-2ffe7f0f6c70 · outbound

This paper cites Niraula, J.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Niraula, J

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.265187Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c37eb98b-2388-498a-8265-9e1838b7f408 · outbound

This paper cites Policy Gradients using Variational Quantum Circuits.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Policy Gradients using Variational Quantum Circuits

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:37:38.912111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 674b35a9-4528-4d9f-b9cb-1c23a8642cc9 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.340730Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06734b09-0308-4ab8-9233-d2e186f46348 · outbound

This paper cites Lockwood and M.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Lockwood and M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.299507Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 173a2390-dc6a-44ec-982f-771dcd206ad2 · outbound

This paper cites Lockwood and M.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Lockwood and M

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.289684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 53c21204-101a-43ea-a1b5-092dbf377efd · outbound

This paper cites Quantum reinforcement learning in continuous action space.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Quantum reinforcement learning in continuous action space

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:37:38.908541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3604c4e0-9370-44bc-8f9e-cc0daa3007cd · outbound

This paper cites Skolik, S.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Skolik, S

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.268195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8425ca8d-9b0e-4780-934b-a86dc459e007 · outbound

This paper cites Jerbi, C.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Jerbi, C

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.283528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f56d261b-0e2a-4664-9764-2c3c98091e2a · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.331779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4a2f0c52-cf49-4c5a-ba31-d6df7a320922 · outbound

This paper cites Variational Quantum Soft Actor-Critic.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Variational Quantum Soft Actor-Critic

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:37:38.891548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29dabccd-ebf9-4958-ab7a-9c94521c1d12 · outbound

This paper cites Quantum Algorithms for Reinforcement Learning with a Generative Model.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Quantum Algorithms for Reinforcement Learning with a Generative Model

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:37:38.878612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4c3b41ea-0161-40a7-9097-4e7f874223d1 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.328646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eab289a3-9ec3-483d-b3fd-163216bb90e5 · outbound

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

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:37:38.887444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99b63c4a-3bac-45d6-b187-4898b0edc12b · outbound

This paper cites Dunjko, J.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Dunjko, J

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.337706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a89e1730-7937-4495-ae1f-87ac096e3ff0 · outbound

This paper cites Plaat, Deep Reinforcement Learning (Springer Nature, Sin- gapore, 2022).

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Plaat, Deep Reinforcement Learning (Springer Nature, Sin- gapore, 2022)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.319179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a72e5452-8f54-4b0d-b003-a1ed020e0f6e · outbound

This paper cites Morales, Grokking Deep Reinforcement Learning(Manning Publications, New York, 2020).

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Morales, Grokking Deep Reinforcement Learning(Manning Publications, New York, 2020)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.343802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9aad4d9d-0ed7-4ace-bb0b-ec84827de919 · outbound

This paper cites Rieffel and W.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Rieffel and W

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.325367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 676b7de2-a034-4918-b23f-1537ef551d06 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.315729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 225b61de-6791-48e9-a241-13c11d901c05 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.322382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 35553180-ea08-4ded-a8a9-aec411518645 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.308952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 65301562-b8ba-4743-9044-be91ea3a3f2f · outbound

This paper cites Ekert and R.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Ekert and R

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.305630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9e0e3e03-4767-43bd-9952-01f13a4baab1 · outbound

This paper cites Quantum computing with Qiskit.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Quantum computing with Qiskit

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:37:38.915677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 155ead54-a85a-47db-b31d-628ae8a359c6 · outbound

This paper cites an unresolved cited work.

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:37:39.355822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 35b3cc99-988c-4498-901d-6863ebd48411 · outbound

This paper cites Guo, Grover’s algorithm – implementations and implica- tions, Highlights in Science, Engineering and Technology 38, 1071 (2023).

Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search Guo, Grover’s algorithm – implementations and implica- tions, Highlights in Science, Engineering and Technology 38, 1071 (2023)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:37:39.312582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.