Paper Citation Record · LEDGER

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network

As of 15 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2507.06644.

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

pith.paper-citation-record.v1
2507.06644 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:05:01.060562Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:36:13.408128Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T20:40:15.089521Z

Reference resolution

45 of 45 outbound references displayed

verified exact25
verified fuzzy2
unresolved8
parse uncertain0
malformed identifier10
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69ca1491-2a20-48db-a098-48b2b35159f3 · outbound

This paper cites Proceedings of the National Academy of Sciences of the United States of America 98(12), 6641–6645 (2001) https://doi.org/10.1073/pnas.111083998.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Proceedings of the National Academy of Sciences of the United States of America 98(12), 6641–6645 (2001) https://doi.org/10.1073/pnas.111083998

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T19:05:02.228312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bbffe287-d9a3-4b6d-8c6f-061e9a41c83d · outbound

This paper cites Nature Materials 8(4), 291–298 (2009) https://doi.org/10.1038/ nmat2400.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Nature Materials 8(4), 291–298 (2009) https://doi.org/10.1038/ nmat2400

Reference 2

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:03.045813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e8a488f4-3450-49f5-aaba-4fb636dc3360 · outbound

This paper cites Journal of Applied Crystallography 55(3), 621–625 (2022) https://doi.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Journal of Applied Crystallography 55(3), 621–625 (2022) https://doi

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T19:05:02.198432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 80c6f156-1999-4103-b12e-2046d67c364d · outbound

This paper cites Nature Communications 12(1), 5385 (2021) https://doi.org/10.1038/s41467-021-25625-0.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Nature Communications 12(1), 5385 (2021) https://doi.org/10.1038/s41467-021-25625-0

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T19:05:02.150707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5dc5e2fd-46fa-4233-9b22-4edfcc2d3f9d · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T19:05:02.098263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ddedca8-9098-410a-834f-18b8c4be323d · outbound

This paper cites Journal of Applied Crystallography 54, 797–802 (2021) https://doi.org/10.1107/S1600576721003113.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Journal of Applied Crystallography 54, 797–802 (2021) https://doi.org/10.1107/S1600576721003113

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T19:05:02.071897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f5b685f-e49f-44fb-a65a-d543f48d4c88 · outbound

This paper cites Nature Communications 4 (2013) https://doi.org/10.1038/ ncomms2661.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Nature Communications 4 (2013) https://doi.org/10.1038/ ncomms2661

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:03.005502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6f41004f-0720-4905-97bc-2b8692a76c51 · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T19:05:02.047222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae035aaa-4ede-4582-bb0f-455d05aaba50 · outbound

This paper cites Catalysis Today 336, 169–173 (2019) https://doi.org/10.1016/j.cattod.2018.12.020.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Catalysis Today 336, 169–173 (2019) https://doi.org/10.1016/j.cattod.2018.12.020

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T19:05:02.012656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ddf5c20b-6e6a-4c48-a911-25304aa55463 · outbound

This paper cites Nature Communications 13(1), 3003 (2022) https://doi.org/10.1038/ s41467-022-30592-1.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Nature Communications 13(1), 3003 (2022) https://doi.org/10.1038/ s41467-022-30592-1

Reference 10

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:02.981319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf5bedb8-b0fb-436b-9dba-36a1e40921d1 · outbound

This paper cites Nature Materials 22(6), 754–761 (2023) https://doi.org/10.1038/s41563-023-01528-x.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Nature Materials 22(6), 754–761 (2023) https://doi.org/10.1038/s41563-023-01528-x

Reference 11

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.994216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ab735b1-8985-4a96-93be-35bbba255518 · outbound

This paper cites ACS Nano 18, 13517–13527 (2024) https://doi.org/10.1021/ acsnano.3c11534.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network ACS Nano 18, 13517–13527 (2024) https://doi.org/10.1021/ acsnano.3c11534

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:02.934000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aeba01d9-c988-4c40-a07e-a407e02b53bf · outbound

This paper cites Optik 35, 237–246 (1972).

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Optik 35, 237–246 (1972)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:05:02.918030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b19b4d4d-a135-4868-9f8c-b42e8554081a · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:59.270236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c51f1a5-a54b-460f-bc3b-8c018a1eaec8 · outbound

This paper cites Review of Scientific Instruments 78(1) (2007) https://doi.org/10.1063/ 1.2403783.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Review of Scientific Instruments 78(1) (2007) https://doi.org/10.1063/ 1.2403783

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:02.884612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23485944-a7d0-4e6f-8c1c-462a2292ee06 · outbound

This paper cites Journal of Applied Crystallography 53, 1404– 1413 (2020) https://doi.org/10.1107/S1600576720010985.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Journal of Applied Crystallography 53, 1404– 1413 (2020) https://doi.org/10.1107/S1600576720010985

Reference 16

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.917360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8412dd92-956f-435f-97b4-420b0e7ff27a · outbound

This paper cites Journal of Applied Crystal- lography 56(5), 1528–1536 (2023) https://doi.org/10.1107/S1600576723007720 https://onlinelibrary.wiley.com/doi/pdf/10.1107/S1600576723007720 13.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Journal of Applied Crystal- lography 56(5), 1528–1536 (2023) https://doi.org/10.1107/S1600576723007720 https://onlinelibrary.wiley.com/doi/pdf/10.1107/S1600576723007720 13

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.851722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f01d1e51-52a5-4be8-b323-0afcf967c96b · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:05:02.846854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ac9ae87-bbd7-438d-9ba1-d5f221798cf0 · outbound

This paper cites New Journal of Physics 22(1), 013021 (2020) https://doi.org/10.1088/1367-2630/ab61db.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network New Journal of Physics 22(1), 013021 (2020) https://doi.org/10.1088/1367-2630/ab61db

Reference 20

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.828663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82821baf-b51c-4f05-b748-ba42b6caceab · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.814278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dc7c7c2f-243a-4755-9218-a044c17c67e1 · outbound

This paper cites Physical Review B - Condensed Matter and Materials Physics 78 (2008) https://doi.org/10.1103/PhysRevB.78.174110.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Physical Review B - Condensed Matter and Materials Physics 78 (2008) https://doi.org/10.1103/PhysRevB.78.174110

Reference 22

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.759274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66b14720-29df-4567-9530-1f8cf7bcef39 · outbound

This paper cites Scientific Reports 8(1) (2018) https: //doi.org/10.1038/s41598-018-34525-1.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Scientific Reports 8(1) (2018) https: //doi.org/10.1038/s41598-018-34525-1

Reference 23

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.716350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 78f2d2f9-5264-41a2-b14d-d77b59485504 · outbound

This paper cites Journal of Applied Physics 128(18) (2020) https://doi.org/10.1063/5.0014725.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Journal of Applied Physics 128(18) (2020) https://doi.org/10.1063/5.0014725

Reference 24

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.640728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3f4a952-8449-464a-97e7-48fbd3402815 · outbound

This paper cites IUCrJ 8(1), 12–21 (2021) https://doi.org/10.1107/ S2052252520013780.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network IUCrJ 8(1), 12–21 (2021) https://doi.org/10.1107/ S2052252520013780

Reference 25

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:02.786151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb03e9ce-5c8d-40d7-aac4-f8d9925049a5 · outbound

This paper cites npj Computational Materials 7(1) (2021) https: //doi.org/10.1038/s41524-021-00644-z.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network npj Computational Materials 7(1) (2021) https: //doi.org/10.1038/s41524-021-00644-z

Reference 26

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.587341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9b6b201-faad-4d1a-a6a3-2d3eea8c146e · outbound

This paper cites npj Computational Materials 8(1) (2022) https://doi.org/10.1038/s41524-022-00803-w.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network npj Computational Materials 8(1) (2022) https://doi.org/10.1038/s41524-022-00803-w

Reference 27

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.571653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3b5a2ba-5458-4ad8-b6b5-5ed1dcd69b7b · outbound

This paper cites npj Computational Materials 10 (2024) https://doi.org/10.1038/ s41524-024-01208-7.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network npj Computational Materials 10 (2024) https://doi.org/10.1038/ s41524-024-01208-7

Reference 28

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:02.727482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 511b5511-1439-4f3c-aaec-c338a204d2dc · outbound

This paper cites npj Computational Materials 9 (2023) https://doi.org/10.1038/ s41524-023-01022-7.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network npj Computational Materials 9 (2023) https://doi.org/10.1038/ s41524-023-01022-7

Reference 29

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:02.686255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c77d5ff7-b195-4b2d-be1e-0fae5259f227 · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 31

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.527455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b86e9cc0-2991-498b-a9ce-5cff79cc7098 · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:05:02.638230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a08b415-348a-48fc-a59d-5f95a46abd8b · outbound

This paper cites npj Computational Materials 7(1) (2021) https://doi.org/10.1038/s41524-021-00583-9.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network npj Computational Materials 7(1) (2021) https://doi.org/10.1038/s41524-021-00583-9

Reference 33

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.505027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f92f6c0-e905-43d1-973a-fa946797dc5f · outbound

This paper cites Jour- nal of Applied Crystallography 44(3), 635–640 (2011) https://doi.org/10.1107/ S0021889811009009.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Jour- nal of Applied Crystallography 44(3), 635–640 (2011) https://doi.org/10.1107/ S0021889811009009

Reference 34

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:02.597598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af57e686-5a33-49d6-b9f1-108a6935c7e3 · outbound

This paper cites Journal of Applied Crystallography57(4), 966–974 (2024) https://doi.org/10.1107/S1600576724004163.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Journal of Applied Crystallography57(4), 966–974 (2024) https://doi.org/10.1107/S1600576724004163

Reference 35

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.429441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f5881ca-a7da-45fb-a839-bfa90c31bc7c · outbound

This paper cites 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:05:00.637261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74098e33-c4be-4df4-8b16-a746f3240ae9 · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:05:02.550903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 75ced089-69b2-4924-af20-0cb3250bbe01 · outbound

This paper cites In: Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming, pp.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network In: Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming, pp

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:05:02.495697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 705f4db8-ae19-4d6e-8b76-6b31e2eb8869 · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:05:02.463189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d49e3a8-f4a0-4599-8088-d5b87115aca1 · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:05:02.417170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5a3761f-d86f-4fa2-90fd-298f7f39f301 · outbound

This paper cites What is Wrong with End-to-End Learning for Phase Retrieval?.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network What is Wrong with End-to-End Learning for Phase Retrieval?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:05:00.709547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 919836ff-9b97-4948-a75a-ab47a4b8c746 · outbound

This paper cites European Synchrotron Radiation Facility.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network European Synchrotron Radiation Facility

Reference 42

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.384124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ea8bb77-9895-4756-a956-7d4161eda32f · outbound

This paper cites European Synchrotron Radiation Facility.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network European Synchrotron Radiation Facility

Reference 43

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.303823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7be9f95b-fab4-4fbb-a708-f473b0ddb7e8 · outbound

This paper cites Physical Review B - Condensed Matter and Materials Physics 68 (2003) https://doi.org/10.1103/PhysRevB.68.140101.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Physical Review B - Condensed Matter and Materials Physics 68 (2003) https://doi.org/10.1103/PhysRevB.68.140101

Reference 44

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.266784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06b857c1-3878-440e-8b4d-14d17f5dde18 · outbound

This paper cites an unresolved cited work.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Unresolved cited work

Reference 45

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.224326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 834aac6d-d06f-457c-b38d-0aa7b62ee833 · outbound

This paper cites https://doi.org/10.5281/ zenodo.7656853.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network https://doi.org/10.5281/ zenodo.7656853

Reference 46

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:05:02.393394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af5fd6e5-5eed-42c8-9fe3-2b2d72ba5734 · outbound

This paper cites Scientific Reports 10 (2020) https://doi.

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network Scientific Reports 10 (2020) https://doi

Reference 47

Resolution: verified exact; doi, observed 2026-08-06T19:05:01.882343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 9278e2b3-d845-4669-a6a2-eb2eeee6810d · inbound

Saving Foundation Flow-Matching Priors for Inverse Problems cites this paper.

Saving Foundation Flow-Matching Priors for Inverse Problems Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.092175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.