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Paper Citation Record · LEDGER

Deep regularization networks for inverse problems with noisy operators

As of 7 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.07008.

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

pith.paper-citation-record.v1
2506.07008 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

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measured 64 of 64 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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

64 of 64 outbound references displayed

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External citation measurements

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Outbound references

Observation 2b2ff68d-7ab0-49c2-a434-d4ebe1e8da8d · outbound

This paper cites Narumanchi, F.

Deep regularization networks for inverse problems with noisy operators Narumanchi, F

Reference 1

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Observation 6c325e7b-86a1-4ab5-9df6-3dfc7a64d103 · outbound

This paper cites Pourahmadian, H.

Deep regularization networks for inverse problems with noisy operators Pourahmadian, H

Reference 2

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This paper cites Cakoni, D.

Deep regularization networks for inverse problems with noisy operators Cakoni, D

Reference 3

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 4

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Observation 3e8524bb-3e92-41e6-a564-b76b84bcad1e · outbound

This paper cites Recoquillay, On the use of phase laws for the linear sampling method in an elastic waveg- uide.

Deep regularization networks for inverse problems with noisy operators Recoquillay, On the use of phase laws for the linear sampling method in an elastic waveg- uide

Reference 5

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Observation f39c91d7-f21a-40a9-b639-c8b02e341ff9 · outbound

This paper cites Zarei, S.

Deep regularization networks for inverse problems with noisy operators Zarei, S

Reference 6

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This paper cites Budyn, A.

Deep regularization networks for inverse problems with noisy operators Budyn, A

Reference 7

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 8

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This paper cites Taheri, Nondestructive evaluation and in-situ monitoring for metal additive manufacturing, Ph.D.

Deep regularization networks for inverse problems with noisy operators Taheri, Nondestructive evaluation and in-situ monitoring for metal additive manufacturing, Ph.D

Reference 9

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This paper cites Haber, L.

Deep regularization networks for inverse problems with noisy operators Haber, L

Reference 10

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This paper cites Habring, M.

Deep regularization networks for inverse problems with noisy operators Habring, M

Reference 11

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This paper cites Arridge, P.

Deep regularization networks for inverse problems with noisy operators Arridge, P

Reference 12

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 13

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 14

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This paper cites Hauptmann, S.

Deep regularization networks for inverse problems with noisy operators Hauptmann, S

Reference 15

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This paper cites Santambrogio, M.

Deep regularization networks for inverse problems with noisy operators Santambrogio, M

Reference 16

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 17

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This paper cites Kress, Linear integral equation, Springer, Berlin, 1999.

Deep regularization networks for inverse problems with noisy operators Kress, Linear integral equation, Springer, Berlin, 1999

Reference 18

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 19

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 20

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 21

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 22

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Deep regularization networks for inverse problems with noisy operators Kaltenbacher, A

Reference 23

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This paper cites Benning, M.

Deep regularization networks for inverse problems with noisy operators Benning, M

Reference 24

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 25

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 26

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 27

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Deep regularization networks for inverse problems with noisy operators Haber, L

Reference 28

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Deep regularization networks for inverse problems with noisy operators Chung, S

Reference 29

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Deep regularization networks for inverse problems with noisy operators Goujon, S

Reference 30

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This paper cites Kofler, F.

Deep regularization networks for inverse problems with noisy operators Kofler, F

Reference 31

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Observation a40cbdd7-16d8-40c8-ae3f-cca358af8c14 · outbound

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Deep regularization networks for inverse problems with noisy operators Eliasof, E

Reference 32

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Deep regularization networks for inverse problems with noisy operators Antil, Z

Reference 33

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Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 34

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Deep regularization networks for inverse problems with noisy operators Calatroni, C

Reference 35

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Observation c6185d26-6034-42a8-a71d-887c7eee3778 · outbound

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Deep regularization networks for inverse problems with noisy operators Chung, M

Reference 36

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Observation f256e0f2-5398-44ad-8536-c77fff1db597 · outbound

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Deep regularization networks for inverse problems with noisy operators Chung, M

Reference 37

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Deep regularization networks for inverse problems with noisy operators Cakoni, D

Reference 38

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Observation e041214d-a5f1-4120-83ad-055b1ae15cea · outbound

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Deep regularization networks for inverse problems with noisy operators Colton, H

Reference 39

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Observation d1e76e63-0ef5-4ad4-8435-1251ff221fee · outbound

This paper cites Audibert, H.

Deep regularization networks for inverse problems with noisy operators Audibert, H

Reference 40

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Observation 1b899a1b-b4ad-4658-88df-b5f554763905 · outbound

This paper cites Pourahmadian, B.

Deep regularization networks for inverse problems with noisy operators Pourahmadian, B

Reference 41

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Observation 93e749ab-2320-47bd-8174-78a580d2ecbd · outbound

This paper cites Pourahmadian, H.

Deep regularization networks for inverse problems with noisy operators Pourahmadian, H

Reference 42

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doi, observed 2026-08-07T05:52:24.048312Z

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source=pdf_text observed=2026-08-07T05:52:23.896956Z digest=sha256:2ae0e2e069a588ff5e3e43a364427b2daa80e8fab30b440c1245334da078e0db

Observation b0734e77-b4c3-4554-82ae-7998a5d4b337 · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-07T05:52:23.900079Z digest=sha256:2687a46f128ce4a732c91dc454adacf8a77fd305c54e3e309a9d70a5868f851b

Observation 8fef502e-03af-4d39-bd69-daf56d442cad · outbound

This paper cites Kirsch, An introduction to the mathematical theory of inverse problems, Vol.

Deep regularization networks for inverse problems with noisy operators Kirsch, An introduction to the mathematical theory of inverse problems, Vol

Reference 44

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Observation 14d362a3-23ab-4209-85b1-7ffbacf15e08 · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-07T05:52:23.909623Z digest=sha256:05b07d7a0a1dde3ee8406ded7fb40a62b8e9a347d126ceccb510ea7c3eb5eed0

Observation 759070df-7e99-4ce9-bc00-0acda05bc775 · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 46

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Observation ea3dbea7-a3b5-41ff-a982-aa81caada4b5 · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-07T05:52:23.915564Z digest=sha256:95115e94c185c9a904720aca24537bd9e99d848a67bf39965e4f514512e0cb11

Observation 8640a468-28e7-472c-9d0d-e7ea5061ea87 · outbound

This paper cites Audibert, H.

Deep regularization networks for inverse problems with noisy operators Audibert, H

Reference 48

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Observation dfabf9c5-802c-4e93-a327-7d2000c8e15d · outbound

This paper cites Hornik, M.

Deep regularization networks for inverse problems with noisy operators Hornik, M

Reference 49

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source=pdf_text observed=2026-08-07T05:52:23.921809Z digest=sha256:4b7b9552a1c29bef3d1a9b99393384ebadc960361ab8a4f695f4a788aa8f0d7c

Observation 5b75da89-8ed1-43c3-8888-bcb9e7f45dbe · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Deep regularization networks for inverse problems with noisy operators Fourier Neural Operator for Parametric Partial Differential Equations

Reference 50

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source=pdf_text observed=2026-08-07T05:52:23.924922Z digest=sha256:32ce174ca9ce44c5959f433d2b1f22ad03e9bf73d371eeb0d0976c97aa0858c4

Observation bebd5427-8611-4b7e-873f-6ffe63f32e31 · outbound

This paper cites Kovachki, S.

Deep regularization networks for inverse problems with noisy operators Kovachki, S

Reference 51

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source=pdf_text observed=2026-08-07T05:52:23.928750Z digest=sha256:fb9be37e86f088afd6a1e7ecb128374ad210b91462fd07f3782ec6d727fd83df

Observation d0724fdb-e050-4eef-875e-ed3fe1284891 · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-07T05:52:23.932882Z digest=sha256:0e79ec23a0c9cf411e884e4b433bf56c55d7632ab3eec5eaea8a9d07d57a1846

Observation dfbcdf64-3df0-475e-81dc-6122796b4ab4 · outbound

This paper cites SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions.

Deep regularization networks for inverse problems with noisy operators SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions

Reference 53

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source=pdf_text observed=2026-08-07T05:52:23.935904Z digest=sha256:df3788692aae765998f290fa1d1778c193372d5072584113de84657f0a3d219c

Observation e3e35f25-1a4b-4d29-a848-db00062f619e · outbound

This paper cites Kendall, Y.

Deep regularization networks for inverse problems with noisy operators Kendall, Y

Reference 54

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source=pdf_text observed=2026-08-07T05:52:23.939311Z digest=sha256:8bc186b53d71dd1b81bf4bb26829f4676a4c71a9517ba79dab449fcf8bde1877

Observation b5d96459-5072-4aa5-89c9-f68051f9e43c · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-07T05:52:23.942352Z digest=sha256:ceafa78d25208e522c7d3e5644bd19b7480509f6ff7786be9d3a806b3f981b4f

Observation 46dc96b4-15fe-4072-b588-4395a64e8682 · outbound

This paper cites Bischof, M.

Deep regularization networks for inverse problems with noisy operators Bischof, M

Reference 56

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source=pdf_text observed=2026-08-07T05:52:23.945520Z digest=sha256:9db996810337ec39f56ca5646771877fe3e6ef18b52a934ad4ee83a2efb28089

Observation 1bbf5578-f1bd-47a4-9acd-345de58ea04c · outbound

This paper cites Bonnet, Boundary integral equations methods for solids and fluids, Wiley, 1999.

Deep regularization networks for inverse problems with noisy operators Bonnet, Boundary integral equations methods for solids and fluids, Wiley, 1999

Reference 57

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source=pdf_text observed=2026-08-07T05:52:23.948832Z digest=sha256:b2404cf161614bd541680225a210e26fc78760b0b3bf19efb850c2cf1adeff27

Observation 5ddf2f42-98ac-4e1d-871c-31294ad25a31 · outbound

This paper cites Avatavului, M.

Deep regularization networks for inverse problems with noisy operators Avatavului, M

Reference 58

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source=pdf_text observed=2026-08-07T05:52:23.951928Z digest=sha256:4829321c0d8c28e60c8cddc052adcb7f62054045497af1ac6ef8a2a579c4313a

Observation d0822b0b-00ef-4c5b-9749-df606d784507 · outbound

This paper cites Spatial and Temporal Correlates of Vesicular Release at Hippocampal Synapses.

Deep regularization networks for inverse problems with noisy operators Spatial and Temporal Correlates of Vesicular Release at Hippocampal Synapses

Reference 59

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local_arxiv, observed 2026-08-07T05:52:24.374437Z

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source=pdf_text observed=2026-08-07T05:52:23.954991Z digest=sha256:23345a656d5dde0cdcdde447508209f0edc6041b563a35197ba26eae31e29e17

Observation a871f482-1297-4f8a-a1d8-602eb9e6390d · outbound

This paper cites Zhang, G.

Deep regularization networks for inverse problems with noisy operators Zhang, G

Reference 60

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source=pdf_text observed=2026-08-07T05:52:23.958112Z digest=sha256:d0473b5f0d40e2548508da029491e0e542190bb72e7f82cc99a7858fe38b5955

Observation d630d24b-75b4-4e1f-943c-cb0d5a07cf77 · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-07T05:52:23.960875Z digest=sha256:456f032cd8535f49eacee9ea0b8fdaf49760e8db829f9dbb44738d6370e90967

Observation 737e97ef-1389-4e13-8baf-2e31d1b343c4 · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 795

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source=pdf_text observed=2026-08-07T05:52:23.860322Z digest=sha256:9497f44153d04201f0151ba32c70029de664649b44c9c8ab466a0404f042b7c5

Observation 26989dee-2213-483c-a661-18f964a118eb · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 2011

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source=pdf_text observed=2026-08-07T05:52:23.906156Z digest=sha256:9b515de940fac5113088dbfb7063eb192e88bdd63006c3296658b383ca0c59ba

Observation b4c5dbf8-f776-4980-9c29-a0cf6305eb37 · outbound

This paper cites an unresolved cited work.

Deep regularization networks for inverse problems with noisy operators Unresolved cited work

Reference 2022

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source=pdf_text observed=2026-08-07T05:52:23.773719Z digest=sha256:7ac7786959c7c7b2670ab08d0e3aacb14ba257bdac97cd5002d753b53f6ffd0a

Pith citing papers

No inbound Pith citation observations are available.