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Paper Citation Record · LEDGER

Automated analysis of the visual properties of superconducting detectors

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.02357.

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

pith.paper-citation-record.v1
2501.02357 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:20:03.569967Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation b32c37d0-caa6-4580-8ed2-08988804583c · outbound

This paper cites J., & Rosenberg, D.

Automated analysis of the visual properties of superconducting detectors J., & Rosenberg, D

Reference 1

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Observation ddd71876-3a37-4862-a998-eaa2a986b034 · outbound

This paper cites 2020, Cryogenic Detectors, ed.

Automated analysis of the visual properties of superconducting detectors 2020, Cryogenic Detectors, ed

Reference 2

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This paper cites 20 years of cryogenic particle detectors: past, present and future.

Automated analysis of the visual properties of superconducting detectors 20 years of cryogenic particle detectors: past, present and future

Reference 3

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This paper cites Cryogenic Media in Biomedical Applications: Current Advances, Challenges, and Future Perspectives.

Automated analysis of the visual properties of superconducting detectors Cryogenic Media in Biomedical Applications: Current Advances, Challenges, and Future Perspectives

Reference 4

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Observation f8c70bac-d370-4821-a936-8f1562e0144f · outbound

This paper cites an unresolved cited work.

Automated analysis of the visual properties of superconducting detectors Unresolved cited work

Reference 5

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Observation 54685d92-09f8-4c80-80dd-d429143e085c · outbound

This paper cites Space science applications of cryogenic detectors.

Automated analysis of the visual properties of superconducting detectors Space science applications of cryogenic detectors

Reference 6

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Observation 74257310-bea1-466a-9d5b-b2f5cea2c47d · outbound

This paper cites Deep Industrial Image Anomaly Detection: A Survey.

Automated analysis of the visual properties of superconducting detectors Deep Industrial Image Anomaly Detection: A Survey

Reference 7

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Observation ef49e8da-bb0a-421a-b2b8-0a890d817b18 · outbound

This paper cites A High-Efficiency Fully Convolutional Networks for Pixel-Wise Surface Defect Detection.

Automated analysis of the visual properties of superconducting detectors A High-Efficiency Fully Convolutional Networks for Pixel-Wise Surface Defect Detection

Reference 8

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Observation 421c8fa4-6048-4a38-84a9-c8a3b5f35237 · outbound

This paper cites Supervised Anomaly Detection for Complex Industrial Images.

Automated analysis of the visual properties of superconducting detectors Supervised Anomaly Detection for Complex Industrial Images

Reference 9

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Automated analysis of the visual properties of superconducting detectors Unresolved cited work

Reference 10

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Observation 87f8e86e-5ab1-4659-8e22-cd3728d3aba8 · outbound

This paper cites EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies.

Automated analysis of the visual properties of superconducting detectors EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

Reference 11

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Observation 32ee426c-b9bd-491e-9694-366bf4c948c9 · outbound

This paper cites The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection.

Automated analysis of the visual properties of superconducting detectors The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

Reference 12

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Observation b514322f-fbb7-4687-bdae-53d172ddddb9 · outbound

This paper cites J., Barry, P., Bender, A.

Automated analysis of the visual properties of superconducting detectors J., Barry, P., Bender, A

Reference 13

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Observation ee500be6-71df-4516-a10e-4db460ee3617 · outbound

This paper cites K., LeDuc, H.

Automated analysis of the visual properties of superconducting detectors K., LeDuc, H

Reference 14

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This paper cites R., Barry, P.

Automated analysis of the visual properties of superconducting detectors R., Barry, P

Reference 15

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Observation 6002a224-dd17-4e73-8803-2e7932cbfa1c · outbound

This paper cites MIST: Accurate and Scalable Microscopy Image Stitching Tool with Stage Modeling and Error Minimization.

Automated analysis of the visual properties of superconducting detectors MIST: Accurate and Scalable Microscopy Image Stitching Tool with Stage Modeling and Error Minimization

Reference 16

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Observation f056d6ca-b876-4dab-869c-07c529b4c45f · outbound

This paper cites The Phase Correlation Image Alignement Method.

Automated analysis of the visual properties of superconducting detectors The Phase Correlation Image Alignement Method

Reference 17

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Observation c1933783-429c-4151-b5ce-5664386b2383 · outbound

This paper cites 2019, Algorithms (Jeff Erickson).

Automated analysis of the visual properties of superconducting detectors 2019, Algorithms (Jeff Erickson)

Reference 18

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Observation e8212118-1a20-4fb1-bcf1-101aae35e43f · outbound

This paper cites R., & Fukai, Y.

Automated analysis of the visual properties of superconducting detectors R., & Fukai, Y

Reference 19

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Observation df11b668-49be-420a-a8ef-53a49f25c044 · outbound

This paper cites 2000, PhD thesis, Ruprecht-Karls-Universitat Heidelberg, Germany.

Automated analysis of the visual properties of superconducting detectors 2000, PhD thesis, Ruprecht-Karls-Universitat Heidelberg, Germany

Reference 20

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Observation f84a4432-878c-4a20-8a26-4bbc8a2939c4 · outbound

This paper cites A Threshold Selection Method from Gray-Level Histograms.

Automated analysis of the visual properties of superconducting detectors A Threshold Selection Method from Gray-Level Histograms

Reference 21

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This paper cites S., Pan, Z., Albert, C., Cecil, T., Chang, C.

Automated analysis of the visual properties of superconducting detectors S., Pan, Z., Albert, C., Cecil, T., Chang, C

Reference 22

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This paper cites Development of an MKID frequency-to-pixel LED mapper for SPT-3G+.

Automated analysis of the visual properties of superconducting detectors Development of an MKID frequency-to-pixel LED mapper for SPT-3G+

Reference 23

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Observation b397aa20-5dce-415a-92b4-a7b16b336a53 · outbound

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Automated analysis of the visual properties of superconducting detectors R., Bender, A

Reference 24

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Automated analysis of the visual properties of superconducting detectors R., et al

Reference 25

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Observation ea04874f-899b-4d6a-987c-6058b411ffe4 · outbound

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Automated analysis of the visual properties of superconducting detectors Unresolved cited work

Reference 26

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Observation a907bca6-15e3-47d8-bc50-caf2841f6bf0 · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.

Automated analysis of the visual properties of superconducting detectors SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python

Reference 27

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Automated analysis of the visual properties of superconducting detectors scikit-image: image processing in Python

Reference 28

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Automated analysis of the visual properties of superconducting detectors Scikit-learn: Machine Learning in Python

Reference 29

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Pith citing papers

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