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Paper Citation Record · LEDGER

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2411.17947.

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

pith.paper-citation-record.v1
2411.17947 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:47:04.738250Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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  • verified fuzzy3
  • unresolved29
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External citation measurements

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Outbound references

Observation 02f7579e-1ddb-4f9b-88f2-17e0ff47993c · outbound

This paper cites an unresolved cited work.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 1

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Observation 33ce0881-f509-4ad5-a618-e13cfd289d55 · outbound

This paper cites Axions and the Strong CP Problem.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Axions and the Strong CP Problem

Reference 2

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Observation 8308bd76-7e90-4b89-b026-20dc72286eac · outbound

This paper cites Weinberg, A New Light Boson?, Phys.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Weinberg, A New Light Boson?, Phys

Reference 3

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Observation 1331243c-25cf-4bfe-9fb9-b96eb5151783 · outbound

This paper cites Wilczek, Problem of Strong P and T Invariance in the Presence of Instantons, Phys.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Wilczek, Problem of Strong P and T Invariance in the Presence of Instantons, Phys

Reference 4

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Observation 942551b9-c886-4924-b7b6-6ca17e0afdd4 · outbound

This paper cites Preskill, M.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Preskill, M

Reference 5

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Observation 2f91e623-613e-4eba-a557-da7f91cc3522 · outbound

This paper cites an unresolved cited work.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 6

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Observation 92539d68-2db6-42e8-9f49-386c90456ff7 · outbound

This paper cites Dine and W.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Dine and W

Reference 7

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Observation 8ce4a803-1656-4dc6-9705-7449b2e6199a · outbound

This paper cites Primakoff, Photoproduction of neutral mesons in nu- clear electric fields and the mean life of the neutral meson, Phys.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Primakoff, Photoproduction of neutral mesons in nu- clear electric fields and the mean life of the neutral meson, Phys

Reference 8

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Observation 4a962ffd-fee8-4dc7-8efb-57838c2366db · outbound

This paper cites invisible.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio invisible

Reference 9

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Observation aae40f2c-d9e0-468e-b127-b675cbfd429a · outbound

This paper cites Sikivie, Experimental Tests of the Invisible Ax- ion, Phys.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Sikivie, Experimental Tests of the Invisible Ax- ion, Phys

Reference 10

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Observation 122636e4-b46c-4641-a9ee-92da3e40db60 · outbound

This paper cites Ahyoune et al.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Ahyoune et al

Reference 11

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Observation 41b3aee1-0f4d-4ec6-b8eb-3cb6ea35e16f · outbound

This paper cites Arcioni, M.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Arcioni, M

Reference 12

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Observation 8302e852-799a-4339-b4fb-2f9f7fba6576 · outbound

This paper cites an unresolved cited work.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 07be0e0a-7bda-4827-9f81-1098dbd958ea · outbound

This paper cites Axion Dark Matter Search around 4.55 $\mu$eV with Dine-Fischler-Srednicki-Zhitnitskii Sensitivity.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Axion Dark Matter Search around 4.55 $\mu$eV with Dine-Fischler-Srednicki-Zhitnitskii Sensitivity

Reference 14

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Observation 97f5dc67-8859-4648-8401-b2bab77005da · outbound

This paper cites an unresolved cited work.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 15

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Observation 26077447-e6ed-4217-a956-ed475cef0da6 · outbound

This paper cites an unresolved cited work.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 16

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Observation a0b80d41-ec16-4b93-b864-51954e462751 · outbound

This paper cites an unresolved cited work.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 17

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Observation c4e3a78c-cb55-4c79-914d-c0d9d07541d8 · outbound

This paper cites an unresolved cited work.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 18

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Observation 6ace98cb-f658-4309-9cca-bf816570e362 · outbound

This paper cites an unresolved cited work.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 19

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Observation 5c40bf0d-e06d-40fb-bf85-8139c221e3f8 · outbound

This paper cites Chang, J.-Y.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Chang, J.-Y

Reference 20

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Observation 31d6d391-4c92-48a2-9d11-821447d9e4be · outbound

This paper cites Hagmann, P.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Hagmann, P

Reference 21

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Observation 80d08f5c-4436-4be2-91be-58b62a290dc3 · outbound

This paper cites ERDF/EU”. J. Reina-Valero has the support of “Plan de Recuperaci´ on, Transformaci´ on y Resiliencia (PRTR) 2022 (ASF AE/2022/013).

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio ERDF/EU”. J. Reina-Valero has the support of “Plan de Recuperaci´ on, Transformaci´ on y Resiliencia (PRTR) 2022 (ASF AE/2022/013)

Reference 22

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Observation 4d22e519-c065-4686-a699-2fb02974aa05 · outbound

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Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 23

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Observation 97f12c49-95f8-49ab-9f59-69cd7896c97d · outbound

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Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 24

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Observation 64084c1e-0e3f-4c45-a53e-d704c89b9c0f · outbound

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Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 25

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Observation 8c81e435-0a16-4291-93f3-75b7587ec09b · outbound

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Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 26

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Observation 0b5c6cd5-163f-4bb1-9e9a-c0fa7ce15db0 · outbound

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Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 27

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Observation 282fb1cc-ed86-46a1-93ed-acce1f98828c · outbound

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Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 75b036b8-b549-465e-ae31-8137dbfd6d1d · outbound

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Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 29

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Observation f7d9d485-7bcd-41a9-9815-027a49a0f896 · outbound

This paper cites Navarro, B.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Navarro, B

Reference 30

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Observation 03a65b76-413d-45e6-96a6-697e589e4d0e · outbound

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Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Unresolved cited work

Reference 31

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Observation 7090ed5e-51bc-4cb7-9b6e-fd490a09f1e1 · outbound

This paper cites Berlin, D.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Berlin, D

Reference 32

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Observation a3c27f47-fd88-48af-89c9-7e8ab8695587 · outbound

This paper cites Gatti, L.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio Gatti, L

Reference 33

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Observation 4630f8c3-9e11-4f83-8ad2-0da0ae9c19f5 · outbound

This paper cites High-frequency gravitational waves detection with the BabyIAXO haloscopes.

Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio High-frequency gravitational waves detection with the BabyIAXO haloscopes

Reference 34

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Pith citing papers

No inbound Pith citation observations are available.