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Paper Citation Record · LEDGER

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models

As of 24 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2604.13096.

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

pith.paper-citation-record.v1
2604.13096 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T23:50:25.262273Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T21:55:25.824880Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T21:57:37.176840Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0229e809-cf55-4b0d-9c84-4aef3a0da4aa · outbound

This paper cites Aharonov, L.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Aharonov, L

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:21be8d10cd407d6f6d515c6bbf3156059ea57eba42e9663de8ac7cf27782c0c2

Observation f1215055-c381-4515-9868-ebd4129bfd29 · outbound

This paper cites Arulkumaran, M.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Arulkumaran, M

Reference 2

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:17625467b3c11564e03e0da5aac532a53d8fa48de07e54c40693d03cdfcf245e

Observation b5296702-9175-4f4d-94e2-25580dde954e · outbound

This paper cites Attal, F.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Attal, F

Reference 3

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:54b683769735352fbdb6fc4d4dc97bb202c337f984916c1bc0112d1862b21db1

Observation 35e21dfd-4569-4a5a-8309-25be69977700 · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:62eac3401dedecba8bfedeab96091329e0c5660b20172dd7b47a67c94cdcfa6d

Observation d50f1f3d-1c9e-433b-90b8-d7c2c2f20935 · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:6cfeda58cc72d43f407c322ba18b81d446eecd191638feec42b2f29a9c49680c

Observation 9a6352c5-bd4b-41ef-8bee-ee0d897b93f5 · outbound

This paper cites Bertsekas , Reinforcement learning and optimal control , vol.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Bertsekas , Reinforcement learning and optimal control , vol

Reference 6

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:a3da65f03c01ff85fc7360c4a1fa193693e600d52cbe3c256a45b26a869a0c68

Observation 1dc13588-5e9a-44ea-9d9c-c5c9938f2acd · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:96283b12a6f79312ed9379da5cc5fef91f438a2f232483390d1e6c057a290740

Observation 0917b840-a4a9-4521-8519-15173b9f0c5c · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:276ec191e7dfcbf6f97e496402456c116dc99fa8fdab816a7566d56cd1e6320f

Observation 1654085e-9a21-47d8-9f5e-acdd17379a64 · outbound

This paper cites Clarke and F.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Clarke and F

Reference 9

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:3c89811c170141adda16c0da64321c934a72ba2dc0129f8876a4cdc71489820d

Observation 4f84e960-5cf8-42f7-ac1c-12336cd3cb21 · outbound

This paper cites Cohen-Tannoudji, B.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Cohen-Tannoudji, B

Reference 10

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:b48eac7a041cf46c5a743d3782427433010e39b3455ad027c544d5b50b96541c

Observation 928fa734-1348-439b-abfd-6feba2ddb8ce · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:1ebd79b3673bd46959761ddbda0546bc08713397869c84b50bc63207742455bc

Observation 4c84f4ae-1bf6-43d3-8702-41fdf3b76165 · outbound

This paper cites 1207--1220.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models 1207--1220

Reference 12

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:472c54973f1d8cf287109b4aae6bb1b2775f422ebd9b5b49548220180361b2c3

Observation c2a02b34-a980-4449-a819-43ba04c8f017 · outbound

This paper cites Facchi and S.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Facchi and S

Reference 13

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:ce02970e07d1d109e77f6cce866462ac9a3051873d73cf1e28fd28f16ed3ccbc

Observation b935bd23-b814-4672-b10f-7f85eccd73cb · outbound

This paper cites Hsieh and H.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Hsieh and H

Reference 14

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:e86680c1e7e5830dbc5c276450dbae5a82585ad50aeb68861165806ab2cb7f6c

Observation b4bead5e-641c-4368-a3ad-01798c3e5c77 · outbound

This paper cites Hsieh, R.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Hsieh, R

Reference 15

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:9e414026a830e4f27edb1c0ae0b509456974ce2f609f58730e28587bc0433d9d

Observation 1355fdc0-56e7-4496-ac7e-0a5cb8ea7fde · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:24f7e2c2244f315a9905d2eb5fc6b4c409310bc24d067d9447c67fc8a813e6c1

Observation 10defe37-f487-4988-b1bd-df76c36c172d · outbound

This paper cites Leibfried, R.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Leibfried, R

Reference 17

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:1ccb2c700f05ea12d3afb4efb9d883c43aba9f81aeea1a914de5d439e102446e

Observation d84c2b34-7957-49ab-89ed-0ed0fc1feb66 · outbound

This paper cites A Survey on Quantum Reinforcement Learning.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models A Survey on Quantum Reinforcement Learning

Reference 18

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no resolver link, observed 2026-07-12T23:50:25.262273Z

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:60b429fb197fa50113175383958a7708a174cc29cac194bc30525cf6ec2814eb

Observation 90c657bd-9423-4853-a1c7-60e8b718b381 · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:4568a42483d19a70833ed2a07a45a39e57101a23b7838d87dbce4078d7ef989f

Observation 5b91d1da-4b3b-4cf5-8e54-5bba0a87edf2 · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:21a2c13e08c973cc64d9ad9d14ae7601aba5208f137b085108a7d8f44e8b7c8f

Observation da5c4acd-67d6-45f0-bed2-a9094af7229e · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:2c57bcf5d7b7af4cede93ba57074924dc0f2fc07503a50047ad9d5b2bed27691

Observation ace3bfd6-c609-47f5-890c-adc94c7e2554 · outbound

This paper cites Schenk, E.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Schenk, E

Reference 22

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:65efab3f242e3e12e3e61146fac154d55be8efc80f5fb00434c5ba135f463307

Observation f83b0fc2-5b6b-437c-9af9-8d1d322966b0 · outbound

This paper cites Sugny and C.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Sugny and C

Reference 23

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:8914b64138a406d6d842a7e0f557011172231309c1e5f71e3c34fce162742a97

Observation 872055e0-5960-47ba-8eee-dde0ce3fc006 · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:7e6fd5a09547a8f05c821eb0b4e494d41b1f0dad8eb3f39666d84854789892cb

Observation 09ec34e8-c2fd-459e-8244-a6765f8e2237 · outbound

This paper cites Szepesv \'a ri , Algorithms for reinforcement learning , Springer nature, 2022.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Szepesv \'a ri , Algorithms for reinforcement learning , Springer nature, 2022

Reference 25

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:81ae3ec3660c593dcbbda6bc986aae7de531a7eadd915dd9e7e530d17b95a7b1

Observation f2a37b1e-ed7b-4fe5-8f34-c75edbdc577f · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:b7a0b886005c88f9b3819180267cacd7ee6e7a2b611bf499abf3f66207a34575

Observation a9cc5858-02f3-48ec-b8c9-62117f9dd0ed · outbound

This paper cites Volkov, A.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Volkov, A

Reference 27

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:bebeb2bfa00875db1e5b38960983f8cd87a0b1f99d6511682bb9d07d38a0f35a

Observation ba660a26-d1fc-495f-bf52-19456302c726 · outbound

This paper cites Wendin , Quantum information processing with superconducting circuits: a review , Reports on Progress in Physics, 80 (2017), p.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Wendin , Quantum information processing with superconducting circuits: a review , Reports on Progress in Physics, 80 (2017), p

Reference 28

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:dbb785d461cb7c9bda249f2bd04f07b1b856344de22bc9b0411f654e40a647cc

Observation f3c627ac-58f3-459a-8e86-eae20bacdd19 · outbound

This paper cites an unresolved cited work.

Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-07-12T23:50:25.262273Z digest=sha256:d5584c336d1baf9dc935e10a8771c0de30214bb138590507904a37e6872c24c6

Pith citing papers

Observation cbade1af-33a9-40fe-9b59-25c4ad3a47fa · inbound

QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron cites this paper.

QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron Complexity scaling and optimal policy degeneracy in quantum reinforcement learning via analytically solvable unitary-control-then-measure models

Reference 5

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verified exact
local_arxiv, observed 2026-07-10T21:57:37.195751Z

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.

source=pdf_text observed=2026-07-10T21:55:25.824880Z digest=sha256:aa19c7872e5cb77f70d9b390ca2b13b53d37b11754582aa66f1ce051c1dd0b6e