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Paper Citation Record · LEDGER

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition

As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.04477.

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

pith.paper-citation-record.v1
2506.04477 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:08.861056Z

measured 64 of 64 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 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

64 of 64 outbound references displayed

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  • verified fuzzy55
  • unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50adbbf7-035c-4d0a-a0d8-2a829d8466b9 · outbound

This paper cites Fast grain mapping with sub-nanometer resolution using 4d-stem with grain classification by princi- pal component analysis and non-negative matrix factoriza- tion.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Fast grain mapping with sub-nanometer resolution using 4d-stem with grain classification by princi- pal component analysis and non-negative matrix factoriza- tion

Reference 1

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Observation 01448d3d-475b-4382-9780-a47fca8cd363 · outbound

This paper cites Baccouche et al.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Baccouche et al

Reference 2

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Observation 1e1cb172-216a-4f35-8420-dd011a159cf7 · outbound

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Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Unresolved cited work

Reference 3

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Observation 0368c490-5bc3-4887-9d95-382d899bd52e · outbound

This paper cites van Heijst, Jeroen J.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition van Heijst, Jeroen J

Reference 4

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Source-reported events for the cited work

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Observation d3faaf1c-3b7d-443e-b01f-d41d9aa1bd55 · outbound

This paper cites Clough and A.I.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Clough and A.I

Reference 5

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Source-reported events for the cited work

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Observation 11b394a6-2614-4823-b5b2-f5a230cc3355 · outbound

This paper cites Strain mapping of semicon- ductor specimens with nm-scale resolution in a transmission electron microscope.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Strain mapping of semicon- ductor specimens with nm-scale resolution in a transmission electron microscope

Reference 6

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Observation de889a6b-571d-4e5d-b824-ce7781623011 · outbound

This paper cites an unresolved cited work.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Unresolved cited work

Reference 7

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Observation 96099c23-61c9-4f17-8b0c-7c79862c4ca3 · outbound

This paper cites Centernet: Keypoint triplets for object detection.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Centernet: Keypoint triplets for object detection

Reference 8

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Source-reported events for the cited work

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Observation 419a80d3-13c5-4a4f-a021-567702b7c8f3 · outbound

This paper cites A novel automated method to measure strain at the nano scale.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition A novel automated method to measure strain at the nano scale

Reference 9

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Source-reported events for the cited work

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Observation 711b01e3-4a49-414b-95ac-75d04b68063c · outbound

This paper cites Phase object reconstruction for 4d-stem using deep learning.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Phase object reconstruction for 4d-stem using deep learning

Reference 10

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Source-reported events for the cited work

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Observation 1324f6a9-d0f0-4896-b7fe-a396d38f0f69 · outbound

This paper cites Local and transient nanoscale strain map- ping during in situ deformation.Applied Physics Letters, 109 (8), 2016.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Local and transient nanoscale strain map- ping during in situ deformation.Applied Physics Letters, 109 (8), 2016

Reference 11

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Source-reported events for the cited work

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Observation 3ef1a668-2021-4f9d-8d5f-de43273f4cc5 · outbound

This paper cites Strain field around individual dislocations controls failure (small methods 12/2024).

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Strain field around individual dislocations controls failure (small methods 12/2024)

Reference 12

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Source-reported events for the cited work

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Observation a87011a3-7e31-4949-86c2-8e84d9f45677 · outbound

This paper cites an unresolved cited work.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 083b8325-fcfd-41ac-a3ce-663658510a32 · outbound

This paper cites A versatile ma- chine learning workflow for high-throughput analysis of supported metal catalyst particles.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition A versatile ma- chine learning workflow for high-throughput analysis of supported metal catalyst particles

Reference 14

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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.

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Observation 675c07a9-b58d-4da3-9e00-7a74985b8053 · outbound

This paper cites Asynchronous LLM Function Calling.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Asynchronous LLM Function Calling

Reference 15

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Source-reported events for the cited work

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Observation bb43ee88-ab06-48b3-94a1-f2c9c01c4233 · outbound

This paper cites Automated analysis of transmission electron micrographs of metallic nanoparticles by machine learning.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Automated analysis of transmission electron micrographs of metallic nanoparticles by machine learning

Reference 16

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Source-reported events for the cited work

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Observation 1a5467fb-9390-41db-bd23-43fd19e1a5f3 · outbound

This paper cites Electron bessel beam diffraction for precise and accu- rate nanoscale strain mapping.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Electron bessel beam diffraction for precise and accu- rate nanoscale strain mapping

Reference 17

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Source-reported events for the cited work

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Observation c16ba428-1fb1-4b7b-8884-a45dca6dbd1e · outbound

This paper cites Haifawi et al.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Haifawi et al

Reference 18

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Source-reported events for the cited work

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Observation 162da0df-a3d9-407d-8cbf-c6d75834758e · outbound

This paper cites Horwath, Dmitri N.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Horwath, Dmitri N

Reference 19

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Source-reported events for the cited work

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Observation 7b89f5ba-f405-44d5-98e6-008d1806360b · outbound

This paper cites Jia et al.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Jia et al

Reference 20

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Source-reported events for the cited work

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Observation 9ba04466-6471-4c46-b497-0c8dba29c26b · outbound

This paper cites Tate, Jiwoong Park, Sol M.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Tate, Jiwoong Park, Sol M

Reference 21

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Source-reported events for the cited work

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Observation 2ad44cf1-4cd4-412b-9b3e-a198ad0225ab · outbound

This paper cites Yolo by ultralytics (version 8.0.0).

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Yolo by ultralytics (version 8.0.0)

Reference 22

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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.

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Observation 85a02f36-a3c6-4c15-ae96-e7c2e72a348a · outbound

This paper cites Korrelationstheorie der station ¨aren stochastischen prozesse.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Korrelationstheorie der station ¨aren stochastischen prozesse

Reference 23

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Source-reported events for the cited work

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Observation 5aa710f3-2d1a-4509-be38-376d1f11170c · outbound

This paper cites Atomic-scale strain analysis for advanced si/sige heterostructure by using transmission electron microscopy.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Atomic-scale strain analysis for advanced si/sige heterostructure by using transmission electron microscopy

Reference 24

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Source-reported events for the cited work

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Observation 2cf75e64-ff3e-4abf-8096-c93f119be87a · outbound

This paper cites Manifold learning of four-dimensional scanning transmission electron microscopy.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Manifold learning of four-dimensional scanning transmission electron microscopy

Reference 25

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Source-reported events for the cited work

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Observation 8aec59a2-3f1e-4423-adf9-220d02cd9547 · outbound

This paper cites Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection

Reference 26

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Source-reported events for the cited work

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Observation 0d08c449-da9c-47e1-9dac-96a27b52f5e2 · outbound

This paper cites Feature pyramid networks for object detection.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Feature pyramid networks for object detection

Reference 27

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Source-reported events for the cited work

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

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Observation 858fc97a-a749-4a77-b55a-0d49467d3560 · outbound

This paper cites Path aggregation network for instance seg- mentation.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Path aggregation network for instance seg- mentation

Reference 28

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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.

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Observation 0c9551e0-fb4c-456b-80d0-0c9a5c22115c · outbound

This paper cites Comparing different software packages for the mapping of strain from scanning precession diffraction data.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Comparing different software packages for the mapping of strain from scanning precession diffraction data

Reference 29

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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.

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Observation cea5c744-6527-4ae3-8e34-7eef5c0cdfba · outbound

This paper cites Krause, Dennis Zillmann, and Andreas Rosenauer.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Krause, Dennis Zillmann, and Andreas Rosenauer

Reference 30

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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.

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Observation 9ac74276-de9e-47a8-9ed4-71ea33e73afb · outbound

This paper cites Mixed precision training, 2018.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Mixed precision training, 2018

Reference 31

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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.

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Observation ff88e4b4-0a98-40e7-b69a-89d9d2a6393b · outbound

This paper cites an unresolved cited work.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Unresolved cited work

Reference 32

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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.

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Observation 5f2d3cbc-066c-4632-8e9f-13b0799b3629 · outbound

This paper cites Disentangling multiple scattering with deep learning: application to strain mapping from electron diffrac- tion patterns.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Disentangling multiple scattering with deep learning: application to strain mapping from electron diffrac- tion patterns

Reference 33

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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.

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Observation 515182d6-e9bc-4543-a3b0-c7d31f65ca12 · outbound

This paper cites Strain measurement in semiconductor heterostructures by scanning transmission electron microscopy.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Strain measurement in semiconductor heterostructures by scanning transmission electron microscopy

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.289465Z

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.

source=pdf_text observed=2026-08-07T10:46:08.671201Z digest=sha256:40bcae8bf3ab765d359da2092de3d2d12d4fa14cff766f38799c46cb9b4ca989

Observation 109868bd-4b8f-45d5-96cf-90205437354a · outbound

This paper cites Four-dimensional scanning transmission elec- tron microscopy (4d-stem): From scanning nanodiffraction to ptychography and beyond.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Four-dimensional scanning transmission elec- tron microscopy (4d-stem): From scanning nanodiffraction to ptychography and beyond

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.277504Z

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.

source=pdf_text observed=2026-08-07T10:46:08.676323Z digest=sha256:18f6090866cca3d21a93898117324717947244ccc2731dd3b9b1f64297c4b4bd

Observation 0892d7d4-a5c0-4b58-9123-f25456ae8497 · outbound

This paper cites Automated crystal orientation map- ping in py4dstem using sparse correlation matching.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Automated crystal orientation map- ping in py4dstem using sparse correlation matching

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.266234Z

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.

source=pdf_text observed=2026-08-07T10:46:08.683402Z digest=sha256:611a71d069c42c4cf7e7c606924ff3385c06b87e1eeb8229067a28fc0260d7be

Observation 7baf9172-ad6d-42ca-950a-6b9e2bb768f9 · outbound

This paper cites Strain mapping at nanometer resolu- tion using advanced nano-beam electron diffraction.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Strain mapping at nanometer resolu- tion using advanced nano-beam electron diffraction

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.253212Z

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.

source=pdf_text observed=2026-08-07T10:46:08.690279Z digest=sha256:076ec02d16bc1dd8a52ca44e6c276920a975b68aea05bd8792e3b7efb0b2cbce

Observation ade2698c-b01f-4c4f-a79e-5fd26066a278 · outbound

This paper cites The exit-wave power-cepstrum transform for scan- ning nanobeam electron diffraction: robust strain mapping at subnanometer resolution and subpicometer precision.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition The exit-wave power-cepstrum transform for scan- ning nanobeam electron diffraction: robust strain mapping at subnanometer resolution and subpicometer precision

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.240239Z

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.

source=pdf_text observed=2026-08-07T10:46:08.698640Z digest=sha256:678467a105f3855b2f6c0b4e46bc30394f2909fa962bf0f64d47aa45f4d830ef

Observation 7d99d432-f9d2-4038-a81d-d5d36b8b05b3 · outbound

This paper cites High-resolution mapping of strain partitioning and relaxation in ingan/gan nanowire heterostructures.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition High-resolution mapping of strain partitioning and relaxation in ingan/gan nanowire heterostructures

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.229241Z

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.

source=pdf_text observed=2026-08-07T10:46:08.705278Z digest=sha256:2b518a6acd76f3c987433f4d072b62f2f40f2448e91beac7873941a47f60abaa

Observation 839cfdd7-e4ce-48b2-9c2b-a3966c044177 · outbound

This paper cites an unresolved cited work.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:09.218852Z

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.

source=pdf_text observed=2026-08-07T10:46:08.710620Z digest=sha256:529bfd14c5fa42876051f5fcc78009dfff870f1a8ba182be42ee0f1845367a2b

Observation c4c9df4f-87fa-41aa-abbb-69a40b1cffb8 · outbound

This paper cites Pekin, Christoph Gammer, Jim Ciston, An- drew M.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Pekin, Christoph Gammer, Jim Ciston, An- drew M

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.207264Z

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.

source=pdf_text observed=2026-08-07T10:46:08.718220Z digest=sha256:b68d211d1bfd9bc1fcf0902e576b4433a23aa72d762a8cdbd63fc4bc266f9c28

Observation 54d465da-a524-49b2-b7a3-6ef6ce0ed73c · outbound

This paper cites Yolo9000: Better, faster, stronger.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Yolo9000: Better, faster, stronger

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.196358Z

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.

source=pdf_text observed=2026-08-07T10:46:08.724211Z digest=sha256:75df45415923de4eccc8a4be391ed6eea5610bf112c3f21ad323a98828000932

Observation f940d883-b640-41e1-82fc-6ab06c38f5ec · outbound

This paper cites U- Net: Convolutional Networks for Biomedical Image Seg- mentation.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition U- Net: Convolutional Networks for Biomedical Image Seg- mentation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.184778Z

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.

source=pdf_text observed=2026-08-07T10:46:08.730267Z digest=sha256:2bb2db70ea7a313afdc09f74afe5a42db20d12ffa49270a1ab288dc950608c9e

Observation 1a94576f-4005-47af-bc6c-9be46645c875 · outbound

This paper cites Bekkers, Marleen Hoogendoorn, and Remco Duits.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Bekkers, Marleen Hoogendoorn, and Remco Duits

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.172960Z

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.

source=pdf_text observed=2026-08-07T10:46:08.737157Z digest=sha256:8c2ac69e5a67728767a23431a8edf61ebc5e0eb8c6442dc6849e1afce60c3e64

Observation 704e24c6-04ad-453c-a99c-c3b6d3884074 · outbound

This paper cites Cepstral scanning transmission electron microscopy imaging of severe lattice distortions.Ul- tramicroscopy, 231:113252, 2021.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Cepstral scanning transmission electron microscopy imaging of severe lattice distortions.Ul- tramicroscopy, 231:113252, 2021

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.160956Z

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.

source=pdf_text observed=2026-08-07T10:46:08.744561Z digest=sha256:dbb9c9abed94d90a72b5548dd23baf6bc3cab7c161648290467a4eaeb83addb7

Observation 04f807d8-1536-4d7f-a89b-64db88618fd9 · outbound

This paper cites Uncovering material deformations via machine learning combined with four-dimensional scanning transmis- sion electron microscopy.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Uncovering material deformations via machine learning combined with four-dimensional scanning transmis- sion electron microscopy

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.148515Z

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.

source=pdf_text observed=2026-08-07T10:46:08.750518Z digest=sha256:eb046f1cbe46d0c56804ea879fee91bc1fd2935433460276073183db9860ab06

Observation 3c9d9cd3-1da6-4989-bfdb-165c5d730d97 · outbound

This paper cites Domain-dependent strain and stack- ing in two-dimensional van der waals ferroelectrics.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Domain-dependent strain and stack- ing in two-dimensional van der waals ferroelectrics

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.137188Z

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.

source=pdf_text observed=2026-08-07T10:46:08.756798Z digest=sha256:e48b9c54f933f57f2186e7aa533aad346438d1fa8519b18292ea2bb874a906b2

Observation 732ff45b-bbd4-44ea-946c-d8d2586c07ca · outbound

This paper cites an unresolved cited work.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:09.126782Z

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.

source=pdf_text observed=2026-08-07T10:46:08.761932Z digest=sha256:6da171166e7db9492595a8f4573ccf3bb95c36e15e3f40db063354c79254cd43

Observation 6d339a55-0bcb-4c60-b142-3c57292113cd · outbound

This paper cites Using stem with quasi- parallel illumination and an automated peak-finding routine for strain analysis at the nanometre scale.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Using stem with quasi- parallel illumination and an automated peak-finding routine for strain analysis at the nanometre scale

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.115781Z

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.

source=pdf_text observed=2026-08-07T10:46:08.769294Z digest=sha256:f16617e8b0c7a7316e3d4ea6f5aebf19c20e092f4e6b7b1b0b323d5267061134

Observation 68b34bb1-2f61-4e54-89d5-2a22b9dfadd3 · outbound

This paper cites Sunde, C.D.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Sunde, C.D

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.104502Z

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.

source=pdf_text observed=2026-08-07T10:46:08.774732Z digest=sha256:b851f8315d48abe3f3d5045698a060ea5e4d5b0bcd83165ffca522343167962c

Observation 0b7ecd9f-516c-49dd-a18c-8fd6b76e4936 · outbound

This paper cites Generalization across experimental parameters in neural net- work analysis of high-resolution transmission electron mi- croscopy datasets.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Generalization across experimental parameters in neural net- work analysis of high-resolution transmission electron mi- croscopy datasets

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.092717Z

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.

source=pdf_text observed=2026-08-07T10:46:08.782799Z digest=sha256:3ca988f3e830b2fb0f219efddef87831f9c3da641edf9ac67d1b1fa8df30eee8

Observation f909a582-37c3-49f7-8a04-b9a1d900b49d · outbound

This paper cites Tate, Prafull Purohit, Darol Chamberlain, Kayla X.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Tate, Prafull Purohit, Darol Chamberlain, Kayla X

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.081147Z

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.

source=pdf_text observed=2026-08-07T10:46:08.787594Z digest=sha256:896e321408c87bc696c09a2040fa7ca9f3ea139cc2cbc48c804d8f27a0207fa7

Observation 4b2cd6a4-3501-4a8a-aed7-8a9acb7da540 · outbound

This paper cites Thronsen, T.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Thronsen, T

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.069189Z

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.

source=pdf_text observed=2026-08-07T10:46:08.795536Z digest=sha256:fec9b6380ca12f13c766ba8a3d9cdf31b1167579d6617161d24d77f61624d25b

Observation 45bf88d3-e4a7-4d06-be36-c93435de4691 · outbound

This paper cites Fcos: Fully convolutional one-stage object detection.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Fcos: Fully convolutional one-stage object detection

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.055872Z

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.

source=pdf_text observed=2026-08-07T10:46:08.802670Z digest=sha256:19699bd3e60933ca170302abb275e74899883cb93a0dd59da93db3091c782099

Observation ddf46ba9-c708-4203-9589-1037576323bb · outbound

This paper cites an unresolved cited work.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:09.044418Z

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.

source=pdf_text observed=2026-08-07T10:46:08.808014Z digest=sha256:362f0d42a57863384f04e410bd7691c183577bbdd35ba989780eea68e643f028

Observation fa6fe6e5-bb3c-4b8c-8cf4-6282f4405e65 · outbound

This paper cites Autodisk: Automated diffraction processing and strain map- ping in 4d-stem.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Autodisk: Automated diffraction processing and strain map- ping in 4d-stem

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.033254Z

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.

source=pdf_text observed=2026-08-07T10:46:08.812976Z digest=sha256:51070ca3e367e82b9a049ce81da7c2e71df46a511bcee4286d81e9121fbfa0cb

Observation 92ffbc85-1efd-46dc-8a0a-8491694b833a · outbound

This paper cites Generalized harmonic analysis.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Generalized harmonic analysis

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.020619Z

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.

source=pdf_text observed=2026-08-07T10:46:08.818096Z digest=sha256:e4d5dcf595839317b4a7b4418883ddfcc7eca96e97e77117676678611516787e

Observation 29989068-bec7-4e53-a313-cd6321d73a3b · outbound

This paper cites Flexible for- mation of coherent probes on an aberration-corrected stem with three condensers.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Flexible for- mation of coherent probes on an aberration-corrected stem with three condensers

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:09.008122Z

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.

source=pdf_text observed=2026-08-07T10:46:08.824299Z digest=sha256:82176f2e3ec72632584751495bf7ad89b775b8fea45d0bb0526d2bbd07beeca8

Observation bbed91cf-25ae-4cfa-abe7-2906f4384fe7 · outbound

This paper cites Un- supervised machine learning and cepstral analysis with 4d- stem for characterizing complex microstructures of metallic alloys.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Un- supervised machine learning and cepstral analysis with 4d- stem for characterizing complex microstructures of metallic alloys

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:08.993233Z

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.

source=pdf_text observed=2026-08-07T10:46:08.830829Z digest=sha256:66e8913037e24ca954f8245a61b3bd6878da88685dc9a92e9826c8e6cb4c23f4

Observation caec0016-6ad8-41f5-b2fc-9650ab9c29b2 · outbound

This paper cites Lattice strain mapping using circular hough transform for electron diffraction disk detection.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Lattice strain mapping using circular hough transform for electron diffraction disk detection

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:08.976056Z

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.

source=pdf_text observed=2026-08-07T10:46:08.835376Z digest=sha256:91180f584f7ab4f55c3f29f47c11a786d76bbbbe9a6210bc8538c0232fd0b687

Observation 4e5643f1-bcec-412e-ae35-9be63ff85268 · outbound

This paper cites Training artificial neural networks for precision ori- entation and strain mapping using 4d electron diffraction datasets.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Training artificial neural networks for precision ori- entation and strain mapping using 4d electron diffraction datasets

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:08.960630Z

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.

source=pdf_text observed=2026-08-07T10:46:08.842677Z digest=sha256:2c334fe7e1456c5838fcfe89f06e58682dca845b7168c2c758a6b503d69912e5

Observation 6e98ae10-b65f-4d63-b915-da87ca747dae · outbound

This paper cites Patterned probes for high precision 4d-stem bragg measurements.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Patterned probes for high precision 4d-stem bragg measurements

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:08.944850Z

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.

source=pdf_text observed=2026-08-07T10:46:08.849547Z digest=sha256:bbcad425173aa95671a084f24d3def8cd46ee87be218088f39e4f575b67e32a2

Observation 0c228b77-92eb-47c7-8659-7fbcf15e0af1 · outbound

This paper cites an unresolved cited work.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:46:08.928777Z

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.

source=pdf_text observed=2026-08-07T10:46:08.855253Z digest=sha256:1d27c73629da67d8c03fdc35d78e3d46c36df12f395322746c788d902e996034

Observation 2cbfaef3-457a-4295-adbf-9fa996ccc5a4 · outbound

This paper cites Crystal phase mapping by scanning preces- sion electron diffraction and machine learning decomposi- tion.

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition Crystal phase mapping by scanning preces- sion electron diffraction and machine learning decomposi- tion

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:46:08.912577Z

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.

source=pdf_text observed=2026-08-07T10:46:08.861056Z digest=sha256:32fff399c389c8e9e8fbd6b69498cf8f0d2bec5bf7cf8400f3a20d062ad3bc1c

Pith citing papers

No inbound Pith citation observations are available.