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Paper Citation Record · LEDGER

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2411.16973.

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

pith.paper-citation-record.v1
2411.16973 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:49:18.295850Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ea245bb-cfc2-449b-bb02-be63f534b91d · outbound

This paper cites an unresolved cited work.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

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Observation 38cb8807-b3a8-4e2d-8a1d-ad2898f0aed2 · outbound

This paper cites A review on photonics and its applications.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images A review on photonics and its applications

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation e2304a11-bc55-4f5b-9f92-826909420e9a · outbound

This paper cites Understanding and improving early stopping for learning with noisy labels,.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Understanding and improving early stopping for learning with noisy labels,

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 0ca93a21-cd91-49e7-860f-d0f1475f8b59 · outbound

This paper cites Brown, Benjamin Mann, et al.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Brown, Benjamin Mann, et al

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.802842Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.149799Z digest=sha256:fcf176e2227f27275703f6d5eaa5021739c12bdd864718afe54067159258bb43

Observation 18e5af79-ebbc-4139-9dbc-3a81838c8c55 · outbound

This paper cites A computational approach to edge detection.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images A computational approach to edge detection

Reference 5

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unresolved
no resolver link, observed 2026-08-12T12:49:18.155239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:49:18.155239Z digest=sha256:7dc415f2b5a7460d91cc240bb0f5368bd7e8dcee912289d76a79766bbcf5d0a1

Observation 16efa82c-6ec6-4403-a7f9-cc0251751ca6 · outbound

This paper cites Palm: Scaling language modeling with pathways, 2022.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Palm: Scaling language modeling with pathways, 2022

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation bfe61caf-484c-43a9-ab7c-268aa79b7de9 · outbound

This paper cites When, why and how much? adaptive learning rate scheduling by refinement, 2023.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images When, why and how much? adaptive learning rate scheduling by refinement, 2023

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.757595Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.165816Z digest=sha256:f884e81176cab6b05bffda4580ff3a2747e5d37c9d6bb5dea36a909deb0fbd71

Observation 872b73cf-e499-4c59-80b7-d6e463a85d73 · outbound

This paper cites Silicon photonic devices and integrated circuits.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Silicon photonic devices and integrated circuits

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.740201Z

Source-reported events for the cited work

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

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Observation 78b9dac8-97c2-42cf-88b1-1a95a7ea0706 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 9

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unresolved
no resolver link, observed 2026-08-12T12:49:18.176564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1b6dfff2-4056-40af-a27e-e712b0fa7eb1 · outbound

This paper cites Gatys, Alexander S.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Gatys, Alexander S

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 5c0f8161-05b0-4313-93c1-7b8699f139fe · outbound

This paper cites Deep learning-based prediction of fabrication-process-induced structural variations in nanophotonic devices.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Deep learning-based prediction of fabrication-process-induced structural variations in nanophotonic devices

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.696992Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.186798Z digest=sha256:f2784f6df7010b232e9488e36e01f763be67cdb7faa226e5f29092216b048b6a

Observation 1cd30196-5cc0-496a-bc9d-bbd4bf34abb8 · outbound

This paper cites an unresolved cited work.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:49:18.676839Z

Source-reported events for the cited work

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

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Observation e0a3cdd1-04bc-414c-9869-99b41968e2c5 · outbound

This paper cites A survey of loss functions for semantic seg- mentation.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images A survey of loss functions for semantic seg- mentation

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 962acffa-70d1-43ec-809d-914f5ad0bbd0 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T12:49:18.204438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:49:18.204438Z digest=sha256:96fdc460fb45b3b615b379ffa0963a396bbe3895c31fe1a032db79e59bc53780

Observation feab5d20-8784-4f7b-9640-03fc84555d7d · outbound

This paper cites Per- formance prediction for silicon photonics integrated circuits with layout-dependent correlated manufacturing variability.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Per- formance prediction for silicon photonics integrated circuits with layout-dependent correlated manufacturing variability

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.209641Z digest=sha256:ef0ed80ebf8d6a2e9ff49e591eaf1e92f99f7f71f47f33cfd3ade2bb997e8b0c

Observation 05b02e2c-60d2-4a26-b61f-e3f87ba745a3 · outbound

This paper cites Raunet: Residual attention u-net for semantic segmentation of cataract surgical instruments, 2019.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Raunet: Residual attention u-net for semantic segmentation of cataract surgical instruments, 2019

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.215272Z digest=sha256:58602a7be0d4e8d98bbff0dc44c0a9babc54deccd292f4577238ac8099f7ad50

Observation ed19bd3d-3a87-40a1-9ddb-3a006aaaefab · outbound

This paper cites Hlaing, David Z.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Hlaing, David Z

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 53c763f0-546a-4271-bcae-acb46284d6da · outbound

This paper cites Hammerla, Bernhard Kainz, Ben Glocker, and Daniel Rueckert.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Hammerla, Bernhard Kainz, Ben Glocker, and Daniel Rueckert

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.569576Z

Source-reported events for the cited work

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

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Observation 23b93b3b-e921-4cef-8024-a26f963e9f11 · outbound

This paper cites An introduction to convolu- tional neural networks, 2015.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images An introduction to convolu- tional neural networks, 2015

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 1d2d2292-252f-41c4-a590-30e8de2c4e30 · outbound

This paper cites Piggott, Eric Y.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Piggott, Eric Y

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.532961Z

Source-reported events for the cited work

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

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Observation 8cc41bb3-3802-4bb9-925c-d80656d10c4e · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images U-net: Convolutional networks for biomedical image segmentation,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T12:49:18.243804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a22077f3-efa0-448b-aa16-393e472fa08f · outbound

This paper cites Schubert, Alfred K.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Schubert, Alfred K

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.502003Z

Source-reported events for the cited work

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

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Observation 545cb8a4-71a3-4321-be94-52ab617e3486 · outbound

This paper cites an unresolved cited work.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:49:18.484335Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.256238Z digest=sha256:f98f29f7dcb77138d3528c0b82c654f7b68e07350da49a68d7fcfcdb12f9ccaa

Observation c445a266-8ef1-4887-9404-071f29e6a51c · outbound

This paper cites A Re- view of Object Detection Models Based on Convolutional Neural Network, pages 1–16.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images A Re- view of Object Detection Models Based on Convolutional Neural Network, pages 1–16

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.466795Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.261904Z digest=sha256:e430beebc0f355b3cddfcea484e7d09bc35e6c1b68e045c07bf1b0bf2e67f14b

Observation 2446d284-6238-4007-adef-a12686431204 · outbound

This paper cites Deep image: Scaling up image recognition, 2015.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Deep image: Scaling up image recognition, 2015

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.447643Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.266987Z digest=sha256:4b3e6a4657b353b2ae1acd09f11feba3e2c3c4c2a916d13b9dc9d1a671314c88

Observation be2fc7d1-e276-40fa-9071-af7b8d586d83 · outbound

This paper cites Multi-scale context aggrega- tion by dilated convolutions, 2016.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Multi-scale context aggrega- tion by dilated convolutions, 2016

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.427475Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.273070Z digest=sha256:a0407b77dbf8b009f0b9d39dd4ac29e2e14d8aff5d636bdd1458d506ed4e03da

Observation 0d06e1e1-95b8-4f9f-8e75-63e8e1070873 · outbound

This paper cites Hyper-parameter optimization: A review of algorithms and applications, 2020.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Hyper-parameter optimization: A review of algorithms and applications, 2020

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.406383Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.277991Z digest=sha256:5eadf16e3cd363d1b3d26389928afcfcea344c228043af0fa44efd7385f78012

Observation 78dc0fce-a8a3-44ec-8c89-d146f025ac70 · outbound

This paper cites Unet++: A nested u-net architecture for medical image segmentation, 2018.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Unet++: A nested u-net architecture for medical image segmentation, 2018

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.384447Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.282555Z digest=sha256:f279e6418d1e85da03113fe8f029e1c662b4d10b98737ffac58bd49f5b44e223

Observation 8be1a510-7517-4f31-b2f2-c40729b305bd · outbound

This paper cites an unresolved cited work.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:49:18.365542Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.288946Z digest=sha256:8728815bda3dc2a2164870ad2a7b39a3f43c5da0f71950d713d23b4f8eb929db

Observation e1764208-a756-4613-a372-961bf3309e97 · outbound

This paper cites Manmatha, and Mu Li.

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images Manmatha, and Mu Li

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:49:18.346368Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T12:49:18.295850Z digest=sha256:8521d7604c846eb73c782879e87598ce1530621528bbe5a33f354f33a7ea32b2

Pith citing papers

No inbound Pith citation observations are available.