Pith. sign in

Paper Citation Record · LEDGER

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model

As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.02826.

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

pith.paper-citation-record.v1
2608.02826 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:07:17.949024Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

59 of 59 outbound references displayed

  • verified exact2
  • verified fuzzy46
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76fdd918-7bd3-4e42-913b-042422c4c0d2 · outbound

This paper cites Abanin, Laleh Aghababaie-Beni, Igor Aleiner, Trond I.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Abanin, Laleh Aghababaie-Beni, Igor Aleiner, Trond I

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.646160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.728739Z digest=sha256:66f3b31024d8ed58c96a58b7bf96ef64547eb09173fc5a3e6a32657e37eba147

Observation 85d247fb-41c2-425b-9c94-72b505e32164 · outbound

This paper cites An introduction to quantum machine learning: from quantum logic to quantum deep learning.Quantum Machine Intelligence, 3(2):28, Nov 2021.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model An introduction to quantum machine learning: from quantum logic to quantum deep learning.Quantum Machine Intelligence, 3(2):28, Nov 2021

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.632320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.733438Z digest=sha256:85fad0071a3c9f75a0aa5ece96543b21dcd364f0319891111358c452777f6928

Observation 37408673-af90-494d-a973-0ef87c4374eb · outbound

This paper cites Doriguello, Alessandro Luongo, and Miklos Santha.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Doriguello, Alessandro Luongo, and Miklos Santha

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.620663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.738304Z digest=sha256:4b1503d38494fcc4dc6bf1249ccda10c3c02d400e87a5a21477db547becfbf3c

Observation 73a7406c-769d-4718-a6bd-433367a55a14 · outbound

This paper cites A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:07:18.047918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.743225Z digest=sha256:27b8538dcbe92d5b322237c86071d54112908c489bf37350d8faf6ced4f19dc6

Observation e4e43875-34a1-4d4f-b359-f08200ae3e38 · outbound

This paper cites Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.609973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.747616Z digest=sha256:47393c70eef673f64e346219a02995b1781fe6d993f1b449f915112f2034727c

Observation 864ff43d-0202-4ab3-b0a1-db2c8fc5b5a5 · outbound

This paper cites Optimal control of Markov processes with incomplete state information I.Journal of mathematical analysis and applications, 10:174–205, 1965.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Optimal control of Markov processes with incomplete state information I.Journal of mathematical analysis and applications, 10:174–205, 1965

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.598404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.751841Z digest=sha256:5e3f172b269723d781d9c560c1f6c22568b33ec699b084c50cf477ef62c44e51

Observation 4f90531e-a76b-43c4-8fb0-34c1324b86ad · outbound

This paper cites Springer Science & Business Media, 2011.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Springer Science & Business Media, 2011

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.587406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.755947Z digest=sha256:33edd722364e08fd51a300698d6c2e610743f2193a14939b2299096e9d0aaf01

Observation 74f13b6c-50b0-4a0a-9421-e36ce1843644 · outbound

This paper cites Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach.Artificial intelligence in medicine, 57(1):9–19, 2013.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach.Artificial intelligence in medicine, 57(1):9–19, 2013

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.576857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.759697Z digest=sha256:cc252a5ee35c6dd10c821c943e59d85290c0e3babcea8d0dd9d22ef4ff36c074

Observation 30989889-863a-4340-91ee-44918bc453a2 · outbound

This paper cites Athena scientific, 2012.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Athena scientific, 2012

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.565374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.763140Z digest=sha256:9e8a548ae16d019f17b6aaffb64330b97ebf939395a6d7609c4407c57b6fe0e2

Observation d44b796c-d79f-412a-9d46-d009bc1ba4f9 · outbound

This paper cites Athena Scientific, 2022.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Athena Scientific, 2022

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.555073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.767268Z digest=sha256:389e2eb0f058c449343ba288c83002d222ae77c055db4d8e97508873c9f472d7

Observation 3f6e532e-5997-42cc-bff4-734a7f1509d0 · outbound

This paper cites Quantum machine learning.Nature, 549(7671):195–202, Sep 2017.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum machine learning.Nature, 549(7671):195–202, Sep 2017

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.544609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.771576Z digest=sha256:cdf029664f041f7c474b40c8be98e62c14be258aae00da39048264e8f32eb229

Observation 98f0a11c-1f32-4c28-b6bc-a8cd0d2e499a · outbound

This paper cites Distributed autonomous virtual resource management in datacenters using finite-Markov decision process.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Distributed autonomous virtual resource management in datacenters using finite-Markov decision process

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.533933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.775392Z digest=sha256:0dadaa25147e2e3bbc5c2423ca8c6d2de1049350d147a4b8974bd1a62fd2ed98

Observation 2809a7d0-3c42-405e-9da5-f27f7fd01c74 · outbound

This paper cites Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T15:07:17.778989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:07:17.778989Z digest=sha256:4fa8950babc8e5bb501087a98a6cd95fa6395bae388ce3ca4b6db28e3adaa2f7

Observation 6b5ab5a9-bb43-48f1-b977-097dd4d671e2 · outbound

This paper cites Oberoi, and Pooya Ron- agh.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Oberoi, and Pooya Ron- agh

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.522967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.783294Z digest=sha256:65c3159fb24a5afa074e12e0deb0709c383aa60c5d3d0537c2ee6102f12493cf

Observation 3a979d2c-0726-4b84-a521-a4df185ec708 · outbound

This paper cites Quantum reinforcement learning.IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 38(5):1207–1220, 2008.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum reinforcement learning.IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 38(5):1207–1220, 2008

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.510832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.787765Z digest=sha256:52c2df3422eceb8dd14c0031861d5744854303a82636a3b2bb9304068d9f8870

Observation c3ad0f1d-bd4a-4b5d-b30c-6ddc0e1ee8c1 · outbound

This paper cites Do you know what q-means?.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Do you know what q-means?

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:07:18.017727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.791383Z digest=sha256:10da8f83e3c7cf8432d36c2b69f7ced91fe556e07fc39346729702c75f7fabf5

Observation f5cf0bcd-db74-484a-9c30-d2cca021790e · outbound

This paper cites A Quantum Algorithm for Finding the Minimum.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model A Quantum Algorithm for Finding the Minimum

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T15:07:17.796253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:07:17.796253Z digest=sha256:a736ddaa043cef89d45b1f95b2910b237e23fe9db04b5c065692e4141f7e628d

Observation 17852fab-f591-4266-b696-76175f05ec1a · outbound

This paper cites Springer Science & Business Media, 2012.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Springer Science & Business Media, 2012

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.499851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.800484Z digest=sha256:82e201543fbf91a3a9302c53963df78ebcd99ff579182734576f65887525a59b

Observation b78a6104-f4bf-483d-a43d-da2474b6e3fd · outbound

This paper cites an unresolved cited work.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:07:18.489165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.804071Z digest=sha256:feb082433b87742c4fc4e7bd91029cf9871c5f80595add29429fec41e78013b7

Observation cb725a40-5257-4948-8d49-2b04415cf7a3 · outbound

This paper cites Architectures for a quantum random access memory.Phys.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Architectures for a quantum random access memory.Phys

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.477208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.807790Z digest=sha256:5011524870fb9830e82e0bc606831d3412dee3f78ec82ee207213804c0b18bbc

Observation 2a3c6c84-5a44-4691-a93c-07e7b44bdfd3 · outbound

This paper cites Quantum random access memory.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum random access memory

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.465944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.811653Z digest=sha256:a2e31bec5f3a0ad5835c0790cd35316f26e95373a52450298c627ccae0bb210e

Observation fa4686bb-2bfe-4091-afdc-5aa80df6f518 · outbound

This paper cites A fast quantum mechanical algorithm for database search.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model A fast quantum mechanical algorithm for database search

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.455360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.815293Z digest=sha256:ce977c1cc175d5599b1a23f1147630fc12e63374b4f6e5a7a75318bf2c64e92f

Observation cf12dd33-18e0-4e1b-8426-952f7d123e7a · outbound

This paper cites Theses, Universit´ e Paris Cit´ e, July 2021.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Theses, Universit´ e Paris Cit´ e, July 2021

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.444985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.818918Z digest=sha256:70bf99a6fd203fcbbd0c986dd870ae5602352ce7e4dfdf1d054c972b8699c9d8

Observation 229cef5e-4b19-4a10-ac0a-937ae61ae0cb · outbound

This paper cites Quantum Sub-Gaussian Mean Estimator.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum Sub-Gaussian Mean Estimator

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.434736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.822440Z digest=sha256:aafc562c8ac3a7ca757796d050c3d8ca870e9e9aeacca6e4de3f29fd85797879

Observation 48e8c4f8-efbc-4abe-9edc-0a84498d2d39 · outbound

This paper cites Quantum Chebyshev’s Inequality and Applica- tions.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum Chebyshev’s Inequality and Applica- tions

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.422829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.826057Z digest=sha256:2bb817853df290d9d65a341feaf60b60e23b1443a85b8f5737ac97f1bf14471f

Observation 5adfd34a-b7e5-46b1-945c-4576bd52103b · outbound

This paper cites Harrow, Avinatan Hassidim, and Seth Lloyd.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Harrow, Avinatan Hassidim, and Seth Lloyd

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.411363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.829395Z digest=sha256:b64945d84fbf4ae59b0465a89ad1ea70e71a20e934bbb74076e090ddd43a3263

Observation 91a210ff-3ebd-47e9-84a8-70e67bfe553f · outbound

This paper cites Springer Science & Business Media, 2007.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Springer Science & Business Media, 2007

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.398925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.833505Z digest=sha256:6258cd407642ca5ae8033c088b4dbeb7fc719202473b097c5a36115b68c310a3

Observation 1b2c57c7-c34c-4c59-8a1b-efc817b8d854 · outbound

This paper cites an unresolved cited work.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:07:18.387764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.836965Z digest=sha256:6bff3f1cb609fada96975f4ffc83201dd95255261b9156c54a8b35c040ba7fa2

Observation c1367d74-a346-4546-b394-8a8db37d8a2f · outbound

This paper cites Quantum Policy Gra- dient Algorithms.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum Policy Gra- dient Algorithms

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.377523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.840354Z digest=sha256:d3b5b9dc2538c4db7e61bc3f8762ab848eb6b7446289820d1e68944739005292

Observation 94c45e17-edd7-4756-951a-69fcd08d4e7b · outbound

This paper cites Uni- versity of London, University College London (United Kingdom), 2003.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Uni- versity of London, University College London (United Kingdom), 2003

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.366844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.844015Z digest=sha256:6c8fa6d5fd9775e6d582c31c83f3a18b727c6cb23064a90d7e9aa044f236175a

Observation f0b51de7-2ee8-411f-8847-25b948fa0184 · outbound

This paper cites an unresolved cited work.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:07:18.356005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.848051Z digest=sha256:3d6ca9833844e9cbbcdd13074d6d1f8c53ee6c21a990d6e82f062e9909bbd0d2

Observation 60e83481-2558-4740-993f-f286326e8be2 · outbound

This paper cites Finite-sample convergence rates for Q-learning and indirect algorithms.Advances in neural information processing systems, 11, 1998.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Finite-sample convergence rates for Q-learning and indirect algorithms.Advances in neural information processing systems, 11, 1998

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.344788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.851498Z digest=sha256:51051ec65c37e65b37d22257488b2a0910868a688fb7b04044220a0e7b4faa51

Observation 039d77a4-2c71-4c95-8226-9dbf7049fea3 · outbound

This paper cites Finite-sample convergence rates for Q-learning and indirect algorithms.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Finite-sample convergence rates for Q-learning and indirect algorithms

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.333506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.854812Z digest=sha256:90daf11d28a0750f5915fb08d2e0c598fd23c2de33350288917d165b71066cde

Observation d0831de8-d230-4a96-b0d0-d35ed27b3296 · outbound

This paper cites q-means: A quantum algorithm for unsupervised machine learning.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model q-means: A quantum algorithm for unsupervised machine learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.322662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.858454Z digest=sha256:176d0b0967c6308d421bf390b32467a1b27648a0d7738de1955ea509691fbeae

Observation 16568c67-4190-4663-b979-ea1f049b906a · outbound

This paper cites Quantum Recommendation Systems.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum Recommendation Systems

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.310644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.862662Z digest=sha256:ec398fde138aeba29887d76c91e24fb90936d1d8a7f656affaff76f477a9f8a5

Observation 9b5e63d1-1c1d-4db8-a459-11156ea50159 · outbound

This paper cites Mean estimation when you have the source code; or, quantum Monte Carlo methods.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Mean estimation when you have the source code; or, quantum Monte Carlo methods

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.299328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.866528Z digest=sha256:65fa6d9f0ad9cbc6ba5fce83a53fbc2f6e406387eda689562f59cdd4b8f23289

Observation 6e4dd1bb-79b2-43c2-96c6-a314569af390 · outbound

This paper cites Breaking the sample size barrier in model-based reinforcement learning with a generative model.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Breaking the sample size barrier in model-based reinforcement learning with a generative model

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.286831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.869903Z digest=sha256:f3d4c9960778dd535416fd39ed53179e9173a38b686118677e97f720ae7bff0e

Observation c8adb182-bc25-448f-806c-d74ec21f4db1 · outbound

This paper cites Quantum algorithms for supervised and unsupervised machine learning.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum algorithms for supervised and unsupervised machine learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T15:07:17.873345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:07:17.873345Z digest=sha256:981ab676d31285be5ed46c4bee0e27e6fc17085e13f395c8ea33962a06efe105

Observation a055fbe5-0ecb-43d5-8ba7-87097e58dd05 · outbound

This paper cites an unresolved cited work.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:07:18.275513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.877647Z digest=sha256:380be732fb8531d33ce525f4b76018e86bfced7d4346a38e7fa92d3cbb50a4ae

Observation 4822e019-28ef-4d58-836f-49a44bc3df0f · outbound

This paper cites Quantum speedup of Monte Carlo methods.Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 471(2181):20150301, 2015.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum speedup of Monte Carlo methods.Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 471(2181):20150301, 2015

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.265223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.880902Z digest=sha256:aad6e63501aa67862c36a57b6867d43dbe0cb0fc712fa0b5dc0fd2e6a7db2510

Observation 1408c7db-2adc-4fbf-bb52-9abb25f8c598 · outbound

This paper cites Springer Nature, 2022.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Springer Nature, 2022

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.254310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.884377Z digest=sha256:91d4077aa87e7855b581f31233d9a25118deac3c5ab7167e1df0e39de1dbac88

Observation b72b90ba-6da9-49fb-a805-36dfd2a1a2b1 · outbound

This paper cites Cambridge university press, 2010.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Cambridge university press, 2010

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.242924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.887660Z digest=sha256:ee4063d933795bdbb95d0a32e0154aca38793070ae7927ebc891b94050f1b7d7

Observation 88199678-b974-48fd-b53c-dc94d2a24bd7 · outbound

This paper cites John Wiley & Sons, 2007.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model John Wiley & Sons, 2007

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.230589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.891079Z digest=sha256:99fa55ca6f1a4050529908f67bee9be0ecfc7fc6749eed7af5d5ca370374a074

Observation 19c0f45a-e4eb-4366-9907-f87f25abf150 · outbound

This paper cites John Wiley & Sons, 2014.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model John Wiley & Sons, 2014

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.218676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.894929Z digest=sha256:504244121c03642d4ad9496be9550c78d0792243f5e3a7b38682f14609d5545a

Observation 3b1659b3-e573-4acb-81b3-1f8dc6177a24 · outbound

This paper cites Quantum support vector machine for big data classification.Phys.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum support vector machine for big data classification.Phys

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.207261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.898417Z digest=sha256:09c7d4e3846491d6611fc3474d8c57d752193d0fe12951169e328c35d4db1520

Observation f96e0cb4-f3a1-4117-b8c4-89e42c2e3bf2 · outbound

This paper cites Saggio, B.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Saggio, B

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.196370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.901849Z digest=sha256:b0e4f76c5f6f8cdf6bee73ae5fc8286c7e262122cda89285d891a93d1fbf7da3

Observation 74f98c6a-cc08-4628-9bcd-87ef7c9f532d · outbound

This paper cites Markov models in health care.Einstein (S˜ ao Paulo), 8:376–379, 2010.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Markov models in health care.Einstein (S˜ ao Paulo), 8:376–379, 2010

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.185291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.905355Z digest=sha256:f90479304f90f1a6af887f204aa2f395baa4466cfd923b0f9d36fc93fa071a2b

Observation 49d2b317-1941-43a4-8601-26098e18a2e0 · outbound

This paper cites An introduction to quantum machine learning.Contemporary Physics, 56(2):172–185, 2015.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model An introduction to quantum machine learning.Contemporary Physics, 56(2):172–185, 2015

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.174534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.908867Z digest=sha256:9e8cd5c2de754179a5738e5377495970d51b954e803d0b17a1935565c849a462

Observation 4898ae91-7999-4517-bba4-0b2c3d3d8a5c · outbound

This paper cites an unresolved cited work.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:07:18.163719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.913320Z digest=sha256:50418befd0c52d5bcd6246aa86d479094334574ea90b98cbb18e0fffae89dff2

Observation a44f9f50-51e2-48ed-a7a7-0c6ec0fe6fdd · outbound

This paper cites Near-optimal time and sample complexities for solving Markov decision processes with a generative model.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Near-optimal time and sample complexities for solving Markov decision processes with a generative model

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.152788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.917066Z digest=sha256:373203512ddef10f03ff6bdc7c2b3f903022dddb0fee242c282476040449cfa3

Observation 586d3623-ae27-45b1-a367-31593668c139 · outbound

This paper cites Variance reduced value iteration and faster algorithms for solving Markov decision processes.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Variance reduced value iteration and faster algorithms for solving Markov decision processes

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.141776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.920660Z digest=sha256:707edfd46d91c5d9679609119054dd1c1ce6ab61649ba280dd6ab17de737a59d

Observation eed16f05-0071-483f-87ce-90623dfd941b · outbound

This paper cites Markov decision processes for screening and treat- ment of chronic diseases.Markov Decision Processes in Practice, pages 189–222, 2017.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Markov decision processes for screening and treat- ment of chronic diseases.Markov Decision Processes in Practice, pages 189–222, 2017

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.130353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.924507Z digest=sha256:4ec083b4fd6bcaa611c385e38b6fa281519d261e9394e386529e012af83822fc

Observation feee4c3a-406d-4be4-81d8-f20b63bdf1ad · outbound

This paper cites MIT press Cambridge, 1998.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model MIT press Cambridge, 1998

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.118530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.927759Z digest=sha256:a7ce9b09fba93911581a2fbba7bab00a2dee75f53bd4cbc4ba8432d4e7e0cd54

Observation d2119d0f-b354-44de-a553-503de4b722a1 · outbound

This paper cites Synthesis Lectures on Artificial Intelligence and Machine Learning.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Synthesis Lectures on Artificial Intelligence and Machine Learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.106154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.931158Z digest=sha256:ad68f1cbe18b48cdcadefc1ab78f6eb7351e45582b1de3776efd879e9308daaf

Observation fd891404-1e21-4677-8f80-08305e5d52a3 · outbound

This paper cites Quantum algorithms for reinforcement learning with a generative model.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Quantum algorithms for reinforcement learning with a generative model

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.095025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.934591Z digest=sha256:79405fa5b32db60c7b1533832e9843251f9c2b36ee9f9dd46696bd08e20ff0e4

Observation bc8f3511-b7a3-4145-baf7-4c4b66f058fb · outbound

This paper cites Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Running Time.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Running Time

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T15:07:17.938278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:07:17.938278Z digest=sha256:ae29aa1e57c6dfe719d9a8aed7f32c8c8a3c2fa8412eeb2cdea0dddaf2e56060

Observation 2246e1c5-14e1-4e24-87d3-3f0303500692 · outbound

This paper cites an unresolved cited work.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:07:18.083819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.942296Z digest=sha256:32b3273ba64d842ade997cd90008b1018ae19b430a5baefa700fc84c88be426a

Observation 493a2f05-cc7b-4ab0-9c12-c8528a3a8c17 · outbound

This paper cites an unresolved cited work.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:07:18.072201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.945513Z digest=sha256:7f71161cac8e90f1f0e6c58a6b150ae9d2afe1d6af3708357359e2914787eacb

Observation 9ffe56c9-f9d5-427b-8553-d06e9a8fbea8 · outbound

This paper cites Provably efficient exploration in quantum reinforcement learning with logarithmic worst-case regret.

Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model Provably efficient exploration in quantum reinforcement learning with logarithmic worst-case regret

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:07:18.060115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T15:07:17.949024Z digest=sha256:5dbcebc770ab23943ef84914b86b5ad36738b50ad7821f2c52bbeaaf8404883a

Pith citing papers

No inbound Pith citation observations are available.