Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction | Paper Citation Record

Observation a0baf045-06b0-4d79-8400-da74bb209975 · outbound

This paper cites First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Preliminary Maps and Basic Results.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Preliminary Maps and Basic Results

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Planck Early Results: The Planck mission

Reference 2

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This paper cites The Cosmic Microwave Background: The history of its experimental investigation and its significance for cosmology.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction The Cosmic Microwave Background: The history of its experimental investigation and its significance for cosmology

Reference 3

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Inflation Physics from the Cosmic Microwave Background and Large Scale Structure

Reference 4

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This paper cites Planck 2013 results. XXII. Constraints on inflation.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Planck 2013 results. XXII. Constraints on inflation

Reference 5

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This paper cites Aghanim, Y.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Aghanim, Y

Reference 6

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 7

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 8

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This paper cites Hincks, V.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Hincks, V

Reference 9

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 10

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This paper cites Gualtieri, J.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Gualtieri, J

Reference 11

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This paper cites Li, S.-Y.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Li, S.-Y

Reference 12

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 13

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This paper cites Snowmass 2021 CMB-S4 White Paper.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Snowmass 2021 CMB-S4 White Paper

Reference 14

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 15

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This paper cites Collaboration, E.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Collaboration, E

Reference 16

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This paper cites Eriksen, C.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Eriksen, C

Reference 17

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This paper cites Eriksen, J.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Eriksen, J

Reference 18

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This paper cites Land and J.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Land and J

Reference 19

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This paper cites Jaffe, A.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Jaffe, A

Reference 20

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This paper cites Bennett, R.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Bennett, R

Reference 21

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 22

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This paper cites Tegmark, A.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Tegmark, A

Reference 23

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Delabrouille, J.-F

Reference 24

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Sudevan, P

Reference 25

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This paper cites An Application of Global ILC Algorithm over Large Angular Scales to Estimate CMB Posterior Using Gibbs Sampling.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction An Application of Global ILC Algorithm over Large Angular Scales to Estimate CMB Posterior Using Gibbs Sampling

Reference 26

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction A Global ILC Approach in Pixel Space over Large Angular Scales of the Sky using CMB Covariance Matrix

Reference 27

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 28

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This paper cites Hurier, J.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Hurier, J

Reference 29

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Hivon, K

Reference 30

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Alonso, J

Reference 31

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Tegmark, Phys

Reference 32

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction How to measure CMB polarization power spectra without losing information

Reference 33

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction ECLIPSE: a fast Quadratic Maximum Likelihood estimator for CMB intensity and polarization power spectra

Reference 34

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Abrial, Y

Reference 35

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Perotto, J

Reference 36

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction A hybrid approach to CMB lensing reconstruction on all-sky intensity maps

Reference 37

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Measuring the Integrated Sachs-Wolfe Effect

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Hoffman and E

Reference 39

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Bucher and T

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Harmonic in-painting of CMB sky by constrained Gaussian realization

Reference 41

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Avoiding bias in reconstructing the largest observable scales from partial-sky data

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 43

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Planck 2013 Results. XXIV. Constraints on primordial non-Gaussianity

Reference 44

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction CMB-PAInT: An inpainting tool for the cosmic microwave background

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Scale-dependent dipolar modulation and the quadrupole-octopole alignment in the CMB temperature

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This paper cites Hochreiter, Neural Computation MIT-Press (1997).

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Hochreiter, Neural Computation MIT-Press (1997)

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Goodfellow, J

Reference 48

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Vaswani, Advances in Neural Information Processing Systems (2017)

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Krizhevsky, I

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Reversible Column Networks

Reference 52

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Probabilistic two-stage detection

Reference 53

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 54

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 55

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Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:12:08.678202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 24828aad-ddb5-42a0-aec7-5fa2281531f3 · outbound

This paper cites Sohl-Dickstein, E.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Sohl-Dickstein, E

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:08.645555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a029d30-80b3-4bb1-af0b-292e9faeca4c · outbound

This paper cites an unresolved cited work.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:12:08.524762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0a53e85d-cbf9-4866-ac39-9d46090f3c02 · outbound

This paper cites an unresolved cited work.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 59

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Source-reported events for the cited work

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Observation 0a91eecf-cd8a-452b-9eec-ca82bcd82913 · outbound

This paper cites Context Encoders: Feature Learning by Inpainting.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Context Encoders: Feature Learning by Inpainting

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T21:12:02.815600Z

Source-reported events for the cited work

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Observation 17eb49f4-db35-435e-8c49-393324ea653c · outbound

This paper cites an unresolved cited work.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:12:08.390603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b78fe71a-c98c-43b7-96f0-6eda145750ee · outbound

This paper cites Wang, H.-L.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Wang, H.-L

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:08.254692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7ac0996-5289-43b1-9bf1-cfb66501250b · outbound

This paper cites Casas, L.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Casas, L

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:08.093451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b9763c6-50aa-4610-8768-c6454491a83b · outbound

This paper cites Yan, G.-J.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Yan, G.-J

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:07.965513Z

Source-reported events for the cited work

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Observation 63be527c-9605-481a-aae0-e104402d12f8 · outbound

This paper cites Yan, S.-Y.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Yan, S.-Y

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:07.794755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22bf139e-3913-472a-abcf-646905b5e110 · outbound

This paper cites PUREPath: A Deep Latent Variational Model for Estimating CMB Posterior over Large Angular Scales of the Sky.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction PUREPath: A Deep Latent Variational Model for Estimating CMB Posterior over Large Angular Scales of the Sky

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:12:04.928535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1dcbe7de-c3db-4c4c-af73-6d975745e3a4 · outbound

This paper cites Yan, G.-J.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Yan, G.-J

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:07.664752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3660e90-79f2-4ca5-b2e7-056ff68dedd1 · outbound

This paper cites Puglisi and X.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Puglisi and X

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:07.530691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f22e640-8912-489f-af7a-8f25182a4d57 · outbound

This paper cites an unresolved cited work.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:12:06.651924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 582a8ee4-3de2-4cdd-8dd8-08c87e0070b1 · outbound

This paper cites Inpainting via Generative Adversarial Networks for CMB data analysis.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Inpainting via Generative Adversarial Networks for CMB data analysis

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:12:04.770097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c6fd3f8-ff4d-4f75-82c9-c0e2e286eb61 · outbound

This paper cites Montefalcone, M.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Montefalcone, M

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.611401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation afdb96f3-d368-4d6d-a5e8-4db8a23449de · outbound

This paper cites Fluri, T.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Fluri, T

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.530475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed35d6e7-ac0f-45fd-97da-7d8b90a5bc1e · outbound

This paper cites Fluri, T.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Fluri, T

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.498188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01d75610-6330-487c-b7cb-5c390ae54726 · outbound

This paper cites Farsian, N.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Farsian, N

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.451057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation de09031d-4d03-462b-8934-41c5640ca64d · outbound

This paper cites Caldeira, W.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Caldeira, W

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.393286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7286a472-b268-48b2-a16d-1a47f32d8506 · outbound

This paper cites Estimation of Full Sky Power Spectrum between Intermediate to Large Angular Scales from Partial Sky CMB Anisotropies using Artificial Neural Network.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Estimation of Full Sky Power Spectrum between Intermediate to Large Angular Scales from Partial Sky CMB Anisotropies using Artificial Neural Network

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:12:04.705107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b53d29a1-1c30-45c1-a0ef-cede744c0a3c · outbound

This paper cites Planck 2018 results. IV. Diffuse component separation.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Planck 2018 results. IV. Diffuse component separation

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T21:12:03.524751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15c8e65b-bca5-45ec-8a45-cb306641d230 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Multi-Scale Context Aggregation by Dilated Convolutions

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T21:12:03.574749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eacf3e4-58c5-4903-8b84-a873524c6003 · outbound

This paper cites Hermann, T.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Hermann, T

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.343582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6bf2ab4b-e2dd-4dbd-8863-cd56070599cd · outbound

This paper cites Zhang, X.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Zhang, X

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.281077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7f497f99-1146-4c12-867d-2fa8926bee48 · outbound

This paper cites Ronneberger, P.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Ronneberger, P

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.228197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd757c94-d430-4d31-adb0-0a82115a84b0 · outbound

This paper cites an unresolved cited work.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:12:06.151238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 09563767-e367-4a09-8551-4e3acafb0dde · outbound

This paper cites an unresolved cited work.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:12:06.119235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd95f8b6-0735-41f1-8c7e-2dd21e89e0ae · outbound

This paper cites Lewis, A.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Lewis, A

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:12:06.081212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7bfabcd2-cdd7-4b08-b28d-0bd0b076b21c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction Adam: A Method for Stochastic Optimization

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T21:12:04.424936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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