Paper Citation Record · LEDGER

Leveraging machine learning features for linear optical interferometer control

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.24032.

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

pith.paper-citation-record.v1
2505.24032 v1

Coverage vector

measured 33 of 33 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

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External citation measurements

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Outbound references

Observation 85a5bdbb-67d2-4a68-8476-6b2eef8201c8 · outbound

This paper cites Carolan, C.

Leveraging machine learning features for linear optical interferometer control Carolan, C

Reference 1

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Observation e7fa24f5-2286-4475-95d4-f0fbf36f3815 · outbound

This paper cites After performing this local minimization, we proceed to the next layer, conduct tomography, and train a local linear model (4).

Leveraging machine learning features for linear optical interferometer control After performing this local minimization, we proceed to the next layer, conduct tomography, and train a local linear model (4)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:04.808841Z

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This paper cites an unresolved cited work.

Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 3

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This paper cites an unresolved cited work.

Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 4

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Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 5

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This paper cites an unresolved cited work.

Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:46:03.862554Z

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Observation 45237897-dae1-412a-8e30-dd3ac2093d45 · outbound

This paper cites Zhang, M.

Leveraging machine learning features for linear optical interferometer control Zhang, M

Reference 7

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Observation 028e0fe0-6c6e-4723-ad17-443d6f4627b2 · outbound

This paper cites Hamerly, L.

Leveraging machine learning features for linear optical interferometer control Hamerly, L

Reference 8

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Observation 43ff3d19-ba7d-486c-91d3-e1f7977796ec · outbound

This paper cites Wetzstein, A.

Leveraging machine learning features for linear optical interferometer control Wetzstein, A

Reference 9

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This paper cites P´ erez-L´ opez, A.

Leveraging machine learning features for linear optical interferometer control P´ erez-L´ opez, A

Reference 10

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Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 11

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Observation ad68d6c0-b1cb-4ef4-bc51-461692058b22 · outbound

This paper cites an unresolved cited work.

Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 12

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Observation 939e7ed7-318c-4552-b984-bf4376e5b444 · outbound

This paper cites an unresolved cited work.

Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 13

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Observation dfc1b8d6-99ba-4e12-984b-f1ab7d2054d2 · outbound

This paper cites Burgwal, W.

Leveraging machine learning features for linear optical interferometer control Burgwal, W

Reference 14

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This paper cites an unresolved cited work.

Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 15

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Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 16

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Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 17

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Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 18

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Observation 0e55f9a8-aed4-4e3a-ada8-f38338f90141 · outbound

This paper cites Kondratyev, V.

Leveraging machine learning features for linear optical interferometer control Kondratyev, V

Reference 19

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Observation 710ba353-4529-461b-80af-84647b8d43c6 · outbound

This paper cites Tillmann, C.

Leveraging machine learning features for linear optical interferometer control Tillmann, C

Reference 20

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Observation d674ecaa-833e-4cc4-8a40-4f7fb7e04870 · outbound

This paper cites Kuzmin, I.

Leveraging machine learning features for linear optical interferometer control Kuzmin, I

Reference 21

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Observation a27b4c5a-125d-4554-a976-f322e8b2b340 · outbound

This paper cites Bantysh, K.

Leveraging machine learning features for linear optical interferometer control Bantysh, K

Reference 22

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Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 23

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Observation aca6a20a-579e-404a-8f1e-2c4ea4620d33 · outbound

This paper cites Pearson, Liii.

Leveraging machine learning features for linear optical interferometer control Pearson, Liii

Reference 24

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Observation ab2aea59-fad2-4963-a9f7-f072f34c3eef · outbound

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Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 25

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Observation 2ce1979a-218b-41a6-96c8-547f52c794ad · outbound

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Leveraging machine learning features for linear optical interferometer control Unresolved cited work

Reference 26

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Observation 577f715a-3aa9-4a75-9578-49a1d13f0ee4 · outbound

This paper cites How to generate random matrices from the classical compact groups.

Leveraging machine learning features for linear optical interferometer control How to generate random matrices from the classical compact groups

Reference 27

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Observation f81fea48-6ad0-4bc1-bdad-3a052b6b0bc8 · outbound

This paper cites Rapid characterisation of linear-optical networks via PhaseLift.

Leveraging machine learning features for linear optical interferometer control Rapid characterisation of linear-optical networks via PhaseLift

Reference 28

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Observation b3ab130e-b599-4693-8466-db1df0f8ffd6 · outbound

This paper cites Super-stable tomography of any linear optical device.

Leveraging machine learning features for linear optical interferometer control Super-stable tomography of any linear optical device

Reference 29

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Observation 8976439d-7034-4cad-a150-6c7e953d2a09 · outbound

This paper cites Rahimi-Keshari, M.

Leveraging machine learning features for linear optical interferometer control Rahimi-Keshari, M

Reference 30

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Observation d2f29790-c33c-4bb8-903d-6a806fbc617c · outbound

This paper cites Spagnolo, E.

Leveraging machine learning features for linear optical interferometer control Spagnolo, E

Reference 31

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Observation 40287c84-a312-42c8-989d-fd23b8597d86 · outbound

This paper cites Zhang, Y.

Leveraging machine learning features for linear optical interferometer control Zhang, Y

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:00.624309Z

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Observation 676b9690-ec56-4a9c-8b8a-d2a672358646 · outbound

This paper cites Jiang, X.

Leveraging machine learning features for linear optical interferometer control Jiang, X

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:46:00.384580Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.