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Paper Citation Record · LEDGER

Deep neural network yields regularization for ill-posed inverse problems

As of 6 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2606.00517.

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

pith.paper-citation-record.v1
2606.00517 v1

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measured 62 of 62 reference resolution

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measured 62 of 62 standing notices

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62 of 62 outbound references displayed

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Outbound references

Observation 7313e340-95de-4701-92d1-34a7901cb16e · outbound

This paper cites Springer, New York (1996).

Deep neural network yields regularization for ill-posed inverse problems Springer, New York (1996)

Reference 1

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This paper cites Springer, New York (2006).

Deep neural network yields regularization for ill-posed inverse problems Springer, New York (2006)

Reference 2

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This paper cites Walter de Gruyter, Berlin (2012).

Deep neural network yields regularization for ill-posed inverse problems Walter de Gruyter, Berlin (2012)

Reference 3

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This paper cites Winston Wiley, Washington, DC New York (1977).

Deep neural network yields regularization for ill-posed inverse problems Winston Wiley, Washington, DC New York (1977)

Reference 4

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This paper cites World Scientific, Singapore (2014).

Deep neural network yields regularization for ill-posed inverse problems World Scientific, Singapore (2014)

Reference 5

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This paper cites Inverse Probl.36(5), 055013 (2020).

Deep neural network yields regularization for ill-posed inverse problems Inverse Probl.36(5), 055013 (2020)

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Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

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Deep neural network yields regularization for ill-posed inverse problems Inverse Probl.39(1), 015007 (2023) 32

Reference 8

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This paper cites In: Handbook of Numerical Analysis vol.

Deep neural network yields regularization for ill-posed inverse problems In: Handbook of Numerical Analysis vol

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Deep neural network yields regularization for ill-posed inverse problems SIAM, Philadelphia (2001)

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Deep neural network yields regularization for ill-posed inverse problems IEEE Signal Process

Reference 11

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Deep neural network yields regularization for ill-posed inverse problems Acta Numer.28, 1–174 (2019)

Reference 12

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Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

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Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

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Deep neural network yields regularization for ill-posed inverse problems IEEE Trans

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Deep neural network yields regularization for ill-posed inverse problems In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp

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Deep neural network yields regularization for ill-posed inverse problems IEEE Trans

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Deep neural network yields regularization for ill-posed inverse problems In: International Conference on Machine Learning, pp

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Deep neural network yields regularization for ill-posed inverse problems IEEE Trans

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Deep neural network yields regularization for ill-posed inverse problems Inverse Probl.36(6), 065005 (2020)

Reference 22

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Deep neural network yields regularization for ill-posed inverse problems In: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, pp

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Deep neural network yields regularization for ill-posed inverse problems Inverse Probl

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Deep neural network yields regularization for ill-posed inverse problems In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

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Deep neural network yields regularization for ill-posed inverse problems Transact

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Deep neural network yields regularization for ill-posed inverse problems Neural Netw.4(2), 251–257 (1991)

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Deep neural network yields regularization for ill-posed inverse problems In: International 1989 Joint Conference on Neural Networks, pp

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Deep neural network yields regularization for ill-posed inverse problems Acta Numer.8, 143–195 (1999)

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Deep neural network yields regularization for ill-posed inverse problems IEEE Trans

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Observation 577c8904-0082-46fb-9bcc-0f080634f5bd · outbound

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Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 42

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Observation 8f6ded42-7145-423b-839e-54479b1524a7 · outbound

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Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 43

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Observation 75aef336-7b31-405e-ba7b-510bf6aa4212 · outbound

This paper cites In: Conference on Learning Theory, pp.

Deep neural network yields regularization for ill-posed inverse problems In: Conference on Learning Theory, pp

Reference 44

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Observation 65d70c70-8f5a-42ab-89e3-a0a5a57585e8 · outbound

This paper cites In: Conference on Learning Theory, pp.

Deep neural network yields regularization for ill-posed inverse problems In: Conference on Learning Theory, pp

Reference 45

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Observation 0a3805d1-c827-4557-8eca-43d6a9ed9ac0 · outbound

This paper cites shallow networks: An approximation theory perspective.

Deep neural network yields regularization for ill-posed inverse problems shallow networks: An approximation theory perspective

Reference 46

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Observation 6f90c598-243f-4455-96ea-b8111ef33b3a · outbound

This paper cites an unresolved cited work.

Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 47

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Observation aa574b12-35e5-4108-8959-e7328f211491 · outbound

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Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 48

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Observation 6a46d184-2200-45b9-8257-2cad4b1abbc6 · outbound

This paper cites Neural Netw.94, 103–114 (2017) 35.

Deep neural network yields regularization for ill-posed inverse problems Neural Netw.94, 103–114 (2017) 35

Reference 49

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Observation ad63c4da-5def-46e3-b45c-6f01dcf12631 · outbound

This paper cites In: Conference on Learning Theory, pp.

Deep neural network yields regularization for ill-posed inverse problems In: Conference on Learning Theory, pp

Reference 50

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Observation 52f442be-6adc-48d8-8905-e902b7c7deda · outbound

This paper cites Neural Netw.119, 74–84 (2019).

Deep neural network yields regularization for ill-posed inverse problems Neural Netw.119, 74–84 (2019)

Reference 51

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Observation 88c14ef9-4cd1-422f-8e6b-2f11d61f9ba5 · outbound

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Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 52

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Observation 79c4cc83-3e18-4596-9a7b-4abdd8fc6220 · outbound

This paper cites an unresolved cited work.

Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 53

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Observation 3a023a1f-e553-48aa-aff8-7707b8391c60 · outbound

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Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 54

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Observation e7eeef34-77dd-4af7-a94d-3371bd23e67b · outbound

This paper cites an unresolved cited work.

Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 55

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Observation ce2914e6-b56e-45df-8696-6ec68fd4c547 · outbound

This paper cites an unresolved cited work.

Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 56

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source=pdf_text observed=2026-06-28T18:38:46.292829Z digest=sha256:aee016afbe6a68d79b012e464c6c0fd1b7db86f664839bdf9b98a394c91ea11e

Observation 51f58430-a7b0-4426-a831-6e72dbd69768 · outbound

This paper cites Neural Netw.154, 152–164 (2022).

Deep neural network yields regularization for ill-posed inverse problems Neural Netw.154, 152–164 (2022)

Reference 57

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Observation e1b8e0fc-1e64-45d7-8c47-ec4f6735cd8f · outbound

This paper cites Neural Netw.108, 296–330 (2018).

Deep neural network yields regularization for ill-posed inverse problems Neural Netw.108, 296–330 (2018)

Reference 58

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Observation 454cafbc-772e-4b5c-9b60-866dbd6c2d86 · outbound

This paper cites an unresolved cited work.

Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 59

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source=pdf_text observed=2026-06-28T18:38:46.292829Z digest=sha256:4bd5fd5c54facfabe06b53ec6db8490970e42c3b4ab2378a136a931ed268720e

Observation 471a932f-d337-4372-9227-5148c09e925c · outbound

This paper cites Neural Netw.137, 119–126 (2021).

Deep neural network yields regularization for ill-posed inverse problems Neural Netw.137, 119–126 (2021)

Reference 60

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source=pdf_text observed=2026-06-28T18:38:46.292829Z digest=sha256:360cebbccb679940a8c244c6d05efc4454eefddeb953a5f107176b0acdffbb8a

Observation f47326a2-c5eb-47ee-a274-4ace697459bb · outbound

This paper cites Shallow neural network yields regularization for ill-posed inverse problems.

Deep neural network yields regularization for ill-posed inverse problems Shallow neural network yields regularization for ill-posed inverse problems

Reference 61

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source=pdf_text observed=2026-06-28T18:38:46.292829Z digest=sha256:86c978bd40d931893b7a2787d23965ee330d766a57db85f49139d9290d116ae8

Observation 7f42ecf5-0bcf-4073-902a-3fecf9656b3b · outbound

This paper cites an unresolved cited work.

Deep neural network yields regularization for ill-posed inverse problems Unresolved cited work

Reference 62

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source=pdf_text observed=2026-06-28T18:38:46.292829Z digest=sha256:bf2e7d3cf8f5fe7b74d77fbf79cef651ec770e1df314ff363fe9ed0f0af4b97c

Pith citing papers

No inbound Pith citation observations are available.