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Paper Citation Record · LEDGER

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.10359.

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

pith.paper-citation-record.v1
2508.10359 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:34:26.091441Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

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

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15225200-2635-4802-9f24-a5640a58fce2 · outbound

This paper cites Cold diffusion: Inverting arbitrary im- age transforms without noise.Advances in Neural Informa- tion Processing Systems, 36:41259–41282, 2023.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Cold diffusion: Inverting arbitrary im- age transforms without noise.Advances in Neural Informa- tion Processing Systems, 36:41259–41282, 2023

Reference 1

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Source-reported events for the cited work

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Observation dd5585b9-eeda-40f8-b7a0-8f6b576311d1 · outbound

This paper cites Improving Multislice Electron Ptychography with a Generative Prior.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Improving Multislice Electron Ptychography with a Generative Prior

Reference 2

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Source-reported events for the cited work

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Observation 170828f4-8cff-4df9-9d76-cab43a61ddf9 · outbound

This paper cites Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models

Reference 3

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Source-reported events for the cited work

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Observation e208cb74-b501-44ca-9a76-219025dac02a · outbound

This paper cites Addressing class im- balance and data limitations in advanced node semiconduc- tor defect inspection: A generative approach for sem images.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Addressing class im- balance and data limitations in advanced node semiconduc- tor defect inspection: A generative approach for sem images

Reference 4

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Source-reported events for the cited work

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Observation 717a1fc7-8437-45c8-b452-bd90c73ae3d5 · outbound

This paper cites Radiation damage in the tem and sem.Micron, 35(6):399–409, 2004.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Radiation damage in the tem and sem.Micron, 35(6):399–409, 2004

Reference 5

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Source-reported events for the cited work

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Observation e8b73296-2c21-4068-97f5-9af42953938c · outbound

This paper cites Bridging microscopy with molecular dynamics and quantum simulations: an atomai based pipeline.npj Computational Materials, 8(1):74, 2022.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Bridging microscopy with molecular dynamics and quantum simulations: an atomai based pipeline.npj Computational Materials, 8(1):74, 2022

Reference 6

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Source-reported events for the cited work

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Observation 594189c8-862e-4f60-bc33-bdb1e180d49c · outbound

This paper cites A hybrid frequency-spatial domain model for sparse image reconstruction in scanning transmission electron microscopy.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging A hybrid frequency-spatial domain model for sparse image reconstruction in scanning transmission electron microscopy

Reference 7

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Source-reported events for the cited work

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Observation 4816beeb-9178-4db2-b3b7-cd521aff349d · outbound

This paper cites Determination of atomic positions from time resolved high resolution transmission electron mi- croscopy images.Ultramicroscopy, 186:139–145, 2018.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Determination of atomic positions from time resolved high resolution transmission electron mi- croscopy images.Ultramicroscopy, 186:139–145, 2018

Reference 8

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Source-reported events for the cited work

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Observation 4855976f-49c6-4b8a-a46b-ce1ba45bb247 · outbound

This paper cites Deep learning-based noise filtering toward millisecond order imaging by using scanning transmission electron microscopy.Scientific reports, 12(1): 13462, 2022.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Deep learning-based noise filtering toward millisecond order imaging by using scanning transmission electron microscopy.Scientific reports, 12(1): 13462, 2022

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 40097958-a10a-44ef-84cf-f28b0110ee1d · outbound

This paper cites Automated and autonomous experiments in electron and scanning probe mi- croscopy.ACS nano, 15(8):12604–12627, 2021.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Automated and autonomous experiments in electron and scanning probe mi- croscopy.ACS nano, 15(8):12604–12627, 2021

Reference 10

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Source-reported events for the cited work

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Observation f12cd4a3-b773-4c1c-8768-a7791f58cc9a · outbound

This paper cites an unresolved cited work.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation eb09ceb0-d04f-498f-a24b-e115bfaa4aac · outbound

This paper cites Fast prediction of irradiation- induced cascade defects using denoising diffusion proba- bilistic model.Nuclear Materials and Energy, 41:101805,.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Fast prediction of irradiation- induced cascade defects using denoising diffusion proba- bilistic model.Nuclear Materials and Energy, 41:101805,

Reference 12

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Source-reported events for the cited work

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Observation e914e557-b829-4718-94cd-db77c1d8cd4e · outbound

This paper cites an unresolved cited work.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Unresolved cited work

Reference 13

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unresolved
raw_fallback, observed 2026-08-05T20:34:30.513156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8f05bd68-f09b-4269-aaaa-6d5c1f02d0b4 · outbound

This paper cites Deep convolutional neural networks to restore single-shot electron microscopy images.npj Computational Materials, 10(1):10, 2024.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Deep convolutional neural networks to restore single-shot electron microscopy images.npj Computational Materials, 10(1):10, 2024

Reference 14

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Source-reported events for the cited work

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Observation 8a8c6445-aff1-4695-8e15-d1d382b1b9c8 · outbound

This paper cites Emdiffuse: a diffusion-based deep learning method augmenting ultrastructural imaging and volume electron microscopy.bioRxiv, pages 2023–07,.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Emdiffuse: a diffusion-based deep learning method augmenting ultrastructural imaging and volume electron microscopy.bioRxiv, pages 2023–07,

Reference 15

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Source-reported events for the cited work

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Observation dad8cfde-5250-4b6c-9185-42197a11b683 · outbound

This paper cites Diffusion-based deep learn- ing method for augmenting ultrastructural imaging and vol- ume electron microscopy.Nature Communications, 15(1): 4677, 2024.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Diffusion-based deep learn- ing method for augmenting ultrastructural imaging and vol- ume electron microscopy.Nature Communications, 15(1): 4677, 2024

Reference 16

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Source-reported events for the cited work

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Observation 92a58c6c-de35-4d96-8f07-da4b804117ef · outbound

This paper cites Machine learn- ing approaches for improving atomic force microscopy in- strumentation and data analytics.Frontiers in Physics, 12: 1347648, 2024.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Machine learn- ing approaches for improving atomic force microscopy in- strumentation and data analytics.Frontiers in Physics, 12: 1347648, 2024

Reference 17

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Observation e8238e6b-ce9e-4af4-b937-785dd898b883 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 18

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Source-reported events for the cited work

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Observation 0944c60b-ac5e-47ef-b616-3032d999968a · outbound

This paper cites Null-text inversion for editing real im- ages using guided diffusion models.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Null-text inversion for editing real im- ages using guided diffusion models

Reference 19

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Observation ad9a7c44-ddfb-4e9d-a50b-1e92e5a3b89f · outbound

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AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation 516e1bb4-b17b-419d-b0ab-b2e7d61a43ba · outbound

This paper cites Diffusion probabilistic models enhance variational autoen- coder for crystal structure generative modeling.Scientific Reports, 14(1):1275, 2024.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Diffusion probabilistic models enhance variational autoen- coder for crystal structure generative modeling.Scientific Reports, 14(1):1275, 2024

Reference 21

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Observation 0be87960-f134-4f56-9994-c7b6bd7f85de · outbound

This paper cites Deep learning for sub-˚angstr¨om resolution imaging in uncorrected scanning transmission electron mi- croscope.National Science Review, page nwaf235, 2025.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Deep learning for sub-˚angstr¨om resolution imaging in uncorrected scanning transmission electron mi- croscope.National Science Review, page nwaf235, 2025

Reference 22

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Source-reported events for the cited work

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Observation 20383c35-2160-4d23-b210-1646971c6bb2 · outbound

This paper cites Identification and correction of tempo- ral and spatial distortions in scanning transmission electron microscopy.Ultramicroscopy, 229:113337, 2021.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Identification and correction of tempo- ral and spatial distortions in scanning transmission electron microscopy.Ultramicroscopy, 229:113337, 2021

Reference 23

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Source-reported events for the cited work

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Observation b95ad70e-dbe9-46c2-a2be-b80c79c72c53 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging High-resolution image synthesis with latent diffusion models

Reference 24

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:34:24.516615Z digest=sha256:d4ef75d7e844e2423afcd8ef42ed171807dc007a5005a86b49eff7a49c4c501c

Observation cb58debe-b077-463a-9502-8ef9b368ab89 · outbound

This paper cites Unsupervised deep denoising for four- dimensional scanning transmission electron microscopy.npj Computational Materials, 10(1):243, 2024.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Unsupervised deep denoising for four- dimensional scanning transmission electron microscopy.npj Computational Materials, 10(1):243, 2024

Reference 25

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Source-reported events for the cited work

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Observation 98ceff6c-ddf0-4af9-9ff2-2e9a678a1285 · outbound

This paper cites Revolving scanning transmission electron microscopy: Correcting sample drift distortion without prior knowledge.Ultramicroscopy, 138: 28–35, 2014.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Revolving scanning transmission electron microscopy: Correcting sample drift distortion without prior knowledge.Ultramicroscopy, 138: 28–35, 2014

Reference 26

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Source-reported events for the cited work

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Observation b68a2866-5264-41b5-847e-ad3719cccd3d · outbound

This paper cites Precision con- trolled atomic resolution scanning transmission electron mi- croscopy using spiral scan pathways.Scientific Reports, 7 (1):43585, 2017.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Precision con- trolled atomic resolution scanning transmission electron mi- croscopy using spiral scan pathways.Scientific Reports, 7 (1):43585, 2017

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 171351b8-3bd7-436a-9c53-52467b810a06 · outbound

This paper cites Flame diffuser: Wildfire image synthesis using mask guided diffusion.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Flame diffuser: Wildfire image synthesis using mask guided diffusion

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d61343d1-52fd-4ae6-b50f-6126cd4e8cfd · outbound

This paper cites Diffusion prism: Enhancing diversity and morphology consistency in mask-to-image diffusion.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Diffusion prism: Enhancing diversity and morphology consistency in mask-to-image diffusion

Reference 29

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Source-reported events for the cited work

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Observation a4d3676e-2640-4a95-ba39-6d0c9ce66a15 · outbound

This paper cites Many-mobilenet: Multi- model augmentation for robust retinal disease classification.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Many-mobilenet: Multi- model augmentation for robust retinal disease classification

Reference 30

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Source-reported events for the cited work

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Observation d90ece4a-624e-4ff3-b662-cc4f444620f3 · outbound

This paper cites Defect complexes in crsbr revealed through electron microscopy and deep learning.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Defect complexes in crsbr revealed through electron microscopy and deep learning

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3f46c9fc-dca5-4c02-a09b-d819bd14d607 · outbound

This paper cites an unresolved cited work.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:34:27.815280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4aaa82b2-fb16-4b91-8362-b1fc2347e83a · outbound

This paper cites Recovering a molecule’s 3d dynamics from liquid-phase electron microscopy movies.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Recovering a molecule’s 3d dynamics from liquid-phase electron microscopy movies

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 104ca30d-04dd-4c02-acbb-158cba2cdac6 · outbound

This paper cites Soda: Spectral or- thogonal decomposition adaptation for diffusion models.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Soda: Spectral or- thogonal decomposition adaptation for diffusion models

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 233a7444-f2ff-4194-90b0-afd9364881b1 · outbound

This paper cites In situ transmission electron microscopy and artificial intelligence enabled data analytics for energy materials.Journal of Energy Chemistry, 68:454–493, 2022.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging In situ transmission electron microscopy and artificial intelligence enabled data analytics for energy materials.Journal of Energy Chemistry, 68:454–493, 2022

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c453de2a-3592-4ee0-8769-09168e1d6db6 · outbound

This paper cites Convolutional neural networks for evaluation of sequential beam damage of beam-sensitive solid electrolytes, 2024.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Convolutional neural networks for evaluation of sequential beam damage of beam-sensitive solid electrolytes, 2024

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2db8fc43-0df1-4123-a257-43afa2ed57f9 · outbound

This paper cites Gaussian differential assessment of sequen- tial stem radiation damage in beam-sensitive materials.Mi- croscopy and Microanalysis, 31(Supplement 1):ozaf048– 1065, 2025.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Gaussian differential assessment of sequen- tial stem radiation damage in beam-sensitive materials.Mi- croscopy and Microanalysis, 31(Supplement 1):ozaf048– 1065, 2025

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2e87966a-8771-4b95-8567-16a449614085 · outbound

This paper cites Denoising Diffusion Bridge Models.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Denoising Diffusion Bridge Models

Reference 38

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:34:25.894111Z digest=sha256:ec8d75abac3ed6c93d8ab57203cda858c51c93b71a3659a3ce1cabe083edc6fd

Observation c4b72959-7631-4454-bdbd-a14a9344f471 · outbound

This paper cites nnmobilenet: Rethinking cnn for retinopathy research.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging nnmobilenet: Rethinking cnn for retinopathy research

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b7160bcd-3bb6-40ae-b530-1ced7a434710 · outbound

This paper cites Atomai framework for deep learning anal- ysis of image and spectroscopy data in electron and scan- ning probe microscopy.Nature Machine Intelligence, 4(12): 1101–1112, 2022.

AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging Atomai framework for deep learning anal- ysis of image and spectroscopy data in electron and scan- ning probe microscopy.Nature Machine Intelligence, 4(12): 1101–1112, 2022

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.