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Paper Citation Record · LEDGER

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2605.12713.

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

pith.paper-citation-record.v1
2605.12713 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:06:57.435443Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:35:37.993374Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact15
  • verified fuzzy10
  • unresolved0
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 500f9845-d5be-455e-b3cd-7be5610127ee · outbound

This paper cites Sori- ano, and Roberta Zambrini.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Sori- ano, and Roberta Zambrini

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bded1065-d3f2-443c-b67e-8f440a053993 · outbound

This paper cites Quantum Circuit Design using a Progres- sive Widening Enhanced Monte Carlo Tree Search.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Quantum Circuit Design using a Progres- sive Widening Enhanced Monte Carlo Tree Search

Reference 2

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Observation 10927a33-4b99-4168-bab5-c682617378a2 · outbound

This paper cites Experimental demonstra- tion of enhanced quantum tomography via quantum reser- voir processing.Quantum Science and Technology, 10 (3):035041, June 2025.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Experimental demonstra- tion of enhanced quantum tomography via quantum reser- voir processing.Quantum Science and Technology, 10 (3):035041, June 2025

Reference 3

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Observation 3098fd48-2679-489a-b1a2-c7743fcfa68d · outbound

This paper cites Large-scale quantum reservoir learning with an analog quantum computer.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Large-scale quantum reservoir learning with an analog quantum computer

Reference 4

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arxiv_id, observed 2026-07-01T14:15:47.496619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4f623bf5-65a3-44f8-9cf7-7580e5b4484f · outbound

This paper cites Khan, Nicholas T.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Khan, Nicholas T

Reference 5

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Source-reported events for the cited work

correction dated 2024-10-23. Source: crossref record 10.1038/s41467-024-53536-3->10.1038/s41467-024-51162-7:correction, observed 2026-07-11T02:56:46.987353+00:00. This notice travels one citation hop only.

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Observation e7f6eeef-a0aa-4d47-bc38-c53b04d81280 · outbound

This paper cites an unresolved cited work.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Unresolved cited work

Reference 6

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Observation 9b3969b1-a901-4ac0-904a-5c1d582c45dd · outbound

This paper cites and Yamashiro, Y.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs and Yamashiro, Y

Reference 7

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Observation 3fd9dad6-f315-4af6-851d-7b03da3314dd · outbound

This paper cites PRX Quantum5, 020360 (2024) https://doi.org/10.1103/PRXQuantum.5.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs PRX Quantum5, 020360 (2024) https://doi.org/10.1103/PRXQuantum.5

Reference 8

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Observation c41663ea-c83c-4558-8f55-430bc565711f · outbound

This paper cites Blunt, György P.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Blunt, György P

Reference 9

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Observation d4f950a1-990f-415f-8f57-3f2415cce42a · outbound

This paper cites Hybrid quantum-classical reservoir comput- ing of thermal convection flow.Phys.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Hybrid quantum-classical reservoir comput- ing of thermal convection flow.Phys

Reference 10

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Observation 17d45755-b672-4905-af30-5db972c4421a · outbound

This paper cites Connerty, Ethan N.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Connerty, Ethan N

Reference 11

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Observation 93dc3ef3-06c9-47c5-9114-c6da85d4e562 · outbound

This paper cites URL https: //doi.org/10.1038/s42005-026-02652-1.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs URL https: //doi.org/10.1038/s42005-026-02652-1

Reference 12

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Observation 59a8dbcc-cd7d-43e3-a2f6-369cf7174967 · outbound

This paper cites Soriano, and Roberta Zambrini.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Soriano, and Roberta Zambrini

Reference 13

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Source-reported events for the cited work

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Observation fed0b6ce-e8af-45c0-89f2-c4fe7aa619db · outbound

This paper cites Quantum reservoir computing with repeated measurements on superconducting devices.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Quantum reservoir computing with repeated measurements on superconducting devices

Reference 14

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arxiv_id, observed 2026-07-01T14:15:47.499111Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7d25669f-5966-4c27-9648-7b5cedb2b249 · outbound

This paper cites Feedback-enhanced quantum reservoir computing with weak measurements.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Feedback-enhanced quantum reservoir computing with weak measurements

Reference 15

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arxiv_id, observed 2026-07-01T14:15:47.501766Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 13711d49-4400-4da1-a23d-bc60f2e52f0b · outbound

This paper cites Ehlers, Hendra I.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Ehlers, Hendra I

Reference 16

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Observation b684d0b7-bad6-4134-960b-5c76b261f6f2 · outbound

This paper cites Experimen- tal memory control in continuous-variable optical quan- tum reservoir computing.Nat.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Experimen- tal memory control in continuous-variable optical quan- tum reservoir computing.Nat

Reference 17

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Observation e28c5a48-5409-412a-bd4d-9722400662b8 · outbound

This paper cites Feedback-driven recurrent quantum neural network universality.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Feedback-driven recurrent quantum neural network universality

Reference 18

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arxiv_id, observed 2026-07-01T14:15:47.504276Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bcb04468-e17a-4d1f-beb6-a8456f2e44d4 · outbound

This paper cites Self-accelerating beam dynamics in the space fractional schr¨ odinger equation.Phys.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Self-accelerating beam dynamics in the space fractional schr¨ odinger equation.Phys

Reference 19

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Observation e135af0e-7bcf-46ad-8c72-9f1db9161bc6 · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Supervised quantum machine learning models are kernel methods

Reference 20

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Observation a6f687bc-56f0-46e9-82df-024d2851e1ea · outbound

This paper cites an unresolved cited work.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Unresolved cited work

Reference 21

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Observation ca37a0ce-8573-46bb-a4a3-f998e4489371 · outbound

This paper cites Khan, and Hakan E.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Khan, and Hakan E

Reference 22

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Observation 58982777-610e-40ab-b2e9-cee89cd21f80 · outbound

This paper cites Khan, Marti Vives, Esin Türeci, Leon Bello, Graham E.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Khan, Marti Vives, Esin Türeci, Leon Bello, Graham E

Reference 23

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Observation ded72a75-9bc5-4b8a-a136-fac0356389f6 · outbound

This paper cites Nielsen and Isaac L.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Nielsen and Isaac L

Reference 24

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Observation 0f3c2362-4cb9-42d5-a7a0-3e28fc034941 · outbound

This paper cites Decoherence free subspaces for quantum communication in amplitude damping channels, 04 2020.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Decoherence free subspaces for quantum communication in amplitude damping channels, 04 2020

Reference 25

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Observation b9c3bbf1-76ae-459b-aa12-b1977bdfb999 · outbound

This paper cites So- riano, Gian Luca Giorgi, and Roberta Zambrini.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs So- riano, Gian Luca Giorgi, and Roberta Zambrini

Reference 26

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Observation 7a1e9936-8f21-4b79-ac91-5d0d56451608 · outbound

This paper cites Hamiltonian-driven architectures for non-markovian quantum reservoir comput- ing.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Hamiltonian-driven architectures for non-markovian quantum reservoir comput- ing

Reference 27

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Observation e4f45d91-32b0-443c-9a8e-b86071581691 · outbound

This paper cites Non-markovianity and memory enhancement in quantum reservoir computing.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Non-markovianity and memory enhancement in quantum reservoir computing

Reference 28

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Observation ae23685b-8449-42ed-b422-22d79534e470 · outbound

This paper cites ‘the ‘echo state’ approach to analysing and train- ing recurrent neural networks,”german nat.Res.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs ‘the ‘echo state’ approach to analysing and train- ing recurrent neural networks,”german nat.Res

Reference 29

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Observation fc05b7d6-9539-4722-bca0-3652a120669f · outbound

This paper cites an unresolved cited work.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Unresolved cited work

Reference 30

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Observation 42686f08-93ce-422b-b089-70f83d11a916 · outbound

This paper cites QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates

Reference 31

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Observation 91c21428-663e-47be-b7d8-9677c85006eb · outbound

This paper cites Nonlinear input transformations are ubiquitous in quantum reservoir computing.Neuromorphic Com- puting and Engineering, 2(1):014008, feb 2022.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Nonlinear input transformations are ubiquitous in quantum reservoir computing.Neuromorphic Com- puting and Engineering, 2(1):014008, feb 2022

Reference 32

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source=pdf_text observed=2026-06-30T22:06:57.435443Z digest=sha256:a5492ce41d40cb089ddc00b8b5d026a88ba029b22ed214185ee31f41fbc0f020

Observation c877744e-c135-4270-b72e-6dce364d70f5 · outbound

This paper cites On fundamental aspects of quantum extreme learning machines.Quantum Machine Intelligence, 7 (1):20, Feb 2025.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs On fundamental aspects of quantum extreme learning machines.Quantum Machine Intelligence, 7 (1):20, Feb 2025

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7fcb91cf-1222-4f05-95ec-2afc397eae3c · outbound

This paper cites Expressivity of Quantum Reservoir Computers.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Expressivity of Quantum Reservoir Computers

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:15:47.493928Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T22:06:57.435443Z digest=sha256:7400202eeca2b98837da1bbac1e221c8b4fcf79278407e64baabcf98a03d4240

Observation 81e7ca16-d212-440f-a38e-8e96f1cb1e99 · outbound

This paper cites Wood, Jake Lishman, Julien Gacon, Simon Martiel, Paul D.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Wood, Jake Lishman, Julien Gacon, Simon Martiel, Paul D

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:03:56.735781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T22:06:57.435443Z digest=sha256:b63cff822d997ba4d05611af23987efe1ccffc6799685c2f431478b4bf579b7a

Observation 0c2ace23-7811-4ba4-a2a8-bbf1efab1820 · outbound

This paper cites Ridge regression: Biased estimation for nonorthogonal problems.Technomet- rics, 12(1):55–67.

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs Ridge regression: Biased estimation for nonorthogonal problems.Technomet- rics, 12(1):55–67

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T15:03:56.733284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T22:06:57.435443Z digest=sha256:7ae53bffea34cf66d26cd6b2d8b9410272067ff66f4cd868d968b54b9a7111df

Pith citing papers

Observation a2ff13ec-09b5-4553-8ef0-dcb24b5cea5c · inbound

General theory of monitored Quantum Reservoir Computing cites this paper.

General theory of monitored Quantum Reservoir Computing Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-02T02:35:37.993374Z

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Unavailable: canonical work link unavailable.

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