Paper Citation Record · LEDGER

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2505.24638.

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pith.paper-citation-record.v1
2505.24638 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:25.017447Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:22.576687Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:21:25.124902Z

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 253edc6c-f0b6-4dff-a320-3077bb593263 · outbound

This paper cites Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:21:25.230541Z

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Observation 819a5c3d-07e7-421a-a04f-cc6819df4f9a · outbound

This paper cites Dataset: Satellites capture cloud radiance observations from real clouds at specific solar zenith angles (SZAs) and view zenith angles (VZAs).

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Dataset: Satellites capture cloud radiance observations from real clouds at specific solar zenith angles (SZAs) and view zenith angles (VZAs)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:30.365372Z

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Observation f3cc99a7-c8fe-452e-bb10-f623a9b6dc50 · outbound

This paper cites an unresolved cited work.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Unresolved cited work

Reference 3

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Observation 24876215-d3c9-4031-935b-dbb0f7376cde · outbound

This paper cites an unresolved cited work.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:21:29.983578Z

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Observation 5597d0ad-7f78-489b-9da8-e5b37f950eb4 · outbound

This paper cites The results indicate that multi-angle training enhances the performance of all COT retrieval methods compared to single-angle training.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models The results indicate that multi-angle training enhances the performance of all COT retrieval methods compared to single-angle training

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:29.752002Z

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Observation d97e4510-e71d-4d75-b75f-a3cedfe6e2b5 · outbound

This paper cites an unresolved cited work.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:21:29.444545Z

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Observation b5aac759-6d1a-491c-998c-2c4ee7ac151e · outbound

This paper cites an unresolved cited work.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:21:29.105401Z

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Observation 918fc6e3-fe38-4feb-a0e8-34e5a1f582f3 · outbound

This paper cites Influence of cloud retrieval errors due to three dimensional radiative effects on calculations of broadband cloud radiative effect,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Influence of cloud retrieval errors due to three dimensional radiative effects on calculations of broadband cloud radiative effect,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:28.906155Z

Source-reported events for the cited work

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Observation e6ddd960-2600-435e-ae35-ce44280412d5 · outbound

This paper cites Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. part i: Theory,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. part i: Theory,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:28.749908Z

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Observation a311df41-4ddc-48e9-ba7c-e3d7a86dc3d9 · outbound

This paper cites Effect of scattering angle on earth reflectance,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Effect of scattering angle on earth reflectance,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:28.552303Z

Source-reported events for the cited work

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Observation 156d964c-b00f-46dc-a397-c3c9c144be76 · outbound

This paper cites Spectral anisotropy of subtropical deciduous forest using misr and modis data ac- quired under large seasonal variation in solar zenith angle,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Spectral anisotropy of subtropical deciduous forest using misr and modis data ac- quired under large seasonal variation in solar zenith angle,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:28.314572Z

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Observation 39c8f896-25a4-4e87-9822-a0f4595dc772 · outbound

This paper cites Effect of cloud inhomogeneities on the solar zenith angle dependence of nadir reflectance,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Effect of cloud inhomogeneities on the solar zenith angle dependence of nadir reflectance,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:28.142176Z

Source-reported events for the cited work

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Observation 2e9aadac-93f6-46c2-a7d2-3c9fbc148e01 · outbound

This paper cites Feasibility study of multi-pixel re- trieval of optical thickness and droplet effective radius of in- homogeneous clouds using deep learning,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Feasibility study of multi-pixel re- trieval of optical thickness and droplet effective radius of in- homogeneous clouds using deep learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:27.906416Z

Source-reported events for the cited work

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Observation ba89af70-f3b8-4901-b6ef-72be76842075 · outbound

This paper cites Segmentation-based multi-pixel cloud op- tical thickness retrieval using a convolutional neural network,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Segmentation-based multi-pixel cloud op- tical thickness retrieval using a convolutional neural network,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:27.745008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86c6c2ed-5d10-4589-b2b3-cca23673a417 · outbound

This paper cites Cloudunet: Adapt- ing unet for retrieving cloud properties,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Cloudunet: Adapt- ing unet for retrieving cloud properties,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:27.536741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f557252b-507f-48c0-8c97-3e070f2421ff · outbound

This paper cites Transfer-learning-based approach to retrieve the cloud proper- ties using diverse remote sensing datasets,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Transfer-learning-based approach to retrieve the cloud proper- ties using diverse remote sensing datasets,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:27.334880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af2f3868-eb95-4fb0-bd6b-cd212071c837 · outbound

This paper cites Cloud identification and properties retrieval of the fengyun-4a satellite using a resunet model,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Cloud identification and properties retrieval of the fengyun-4a satellite using a resunet model,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:27.137907Z

Source-reported events for the cited work

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Observation 7294ecce-1575-40a7-9adb-e74ec62b6ced · outbound

This paper cites Retrieval of cloud properties from thermal infrared radiometry using convolutional neural network,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Retrieval of cloud properties from thermal infrared radiometry using convolutional neural network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:26.963607Z

Source-reported events for the cited work

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Observation a6aeda69-957f-47b8-a071-c1d5b00f82aa · outbound

This paper cites Cloud identification and property retrieval from himawari-8 infrared measurements via a deep neural network,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Cloud identification and property retrieval from himawari-8 infrared measurements via a deep neural network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:26.770280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15ca5637-c889-4228-9acb-d3a5d5da17a3 · outbound

This paper cites Machine learning-based retrieval of day and night cloud macrophysical parameters over east asia using himawari- 8 data,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Machine learning-based retrieval of day and night cloud macrophysical parameters over east asia using himawari- 8 data,

Reference 20

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Source-reported events for the cited work

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Observation d836e632-a576-403f-abf9-58607a42d499 · outbound

This paper cites The large-eddy simulation (les) atmospheric radiation measure- ment (arm) symbiotic simulation and observation (lasso) activ- ity for continental shallow convection,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models The large-eddy simulation (les) atmospheric radiation measure- ment (arm) symbiotic simulation and observation (lasso) activ- ity for continental shallow convection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:26.364193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f258fed9-abb1-46f5-84b8-4778e7a6c2ef · outbound

This paper cites The spherical harmonics discrete ordinate method for three-dimensional atmospheric radiative transfer,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models The spherical harmonics discrete ordinate method for three-dimensional atmospheric radiative transfer,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:26.192434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7ada943-cbba-46b6-a4db-344495198491 · outbound

This paper cites Cbam: Convolutional block attention module,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Cbam: Convolutional block attention module,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:21:24.709389Z

Source-reported events for the cited work

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Observation ea2f8a46-880a-4ba9-a049-1b211dc49d5c · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Arbitrary style transfer in real-time with adaptive instance normalization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:25.960989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84d2d63a-61b7-4877-ae90-b265e1be5531 · outbound

This paper cites Mul- tiple style transfer via variational autoencoder,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Mul- tiple style transfer via variational autoencoder,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:25.793291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09e99fdb-b4bf-4db3-8fe2-1c14063c9129 · outbound

This paper cites 3s-net: Arbitrary semantic- aware style transfer with controllable roi choice,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models 3s-net: Arbitrary semantic- aware style transfer with controllable roi choice,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:25.585256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a13d130b-5489-4229-bf06-473d52537345 · outbound

This paper cites Domain dilation for single domain generalization,.

Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models Domain dilation for single domain generalization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:21:25.382429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 253edc6c-f0b6-4dff-a320-3077bb593263 · inbound