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 2026-08-12T06:34:41.77262+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

29 of 29 outbound references displayed

verified exact9
verified fuzzy6
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

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

Resolution: verified exact; doi, observed 2026-08-10T22:20:03.825790Z

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.

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

Resolution: verified exact; doi, observed 2026-08-10T22:20:03.805548Z

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.

Observation bcc04807-f0f3-485e-ba72-6ad6363d881e · outbound

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

Resolution: verified exact; doi, observed 2026-08-10T22:20:03.792218Z

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.

Observation 4fb0fd1b-5d8c-40ac-98ea-6009f1073e27 · outbound

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

Resolution: verified exact; doi, observed 2026-08-10T22:20:03.780682Z

Source-reported events for the cited work

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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

Resolution: verified exact; doi, observed 2026-08-10T22:20:03.768471Z

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.

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

Resolution: verified exact; doi, observed 2026-08-10T22:20:03.754496Z

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.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.478607Z

Source-reported events for the cited work

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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

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:20:04.242718Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:04.312947Z

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.

Observation fe70b83c-a352-4ce9-8e96-d20c2c3f8c9c · outbound

This paper cites an unresolved cited work.

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

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.491178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.495360Z

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Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.499184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.503107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.506746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c6f479f-4b3f-47b2-8f6f-1c8c5b20ed9f · outbound

This paper cites R., Barry, P.

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

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.512516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified exact; doi, observed 2026-08-10T22:20:03.702561Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:04.300384Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:04.287519Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:04.276936Z

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.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:04.266540Z

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.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.539342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f240525-4e75-4ea7-8534-f97181d11f4f · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.543058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c3a98d7-05df-4b2d-b76a-168ae9ae675d · outbound

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

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:20:03.675513Z

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.

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

This paper cites R., Bender, A.

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

Reference 24

Resolution: verified exact; doi, observed 2026-08-10T22:20:03.645013Z

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.

Observation 4f1a2054-5bac-46b9-9910-0863708f4850 · outbound

This paper cites R., et al.

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

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.554786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites an unresolved cited work.

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

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.558603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.562057Z

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Unavailable: canonical work link unavailable.

Observation 14a1b2c6-82ea-49d7-83d4-b2502482b1bc · outbound

This paper cites scikit-image: image processing in Python.

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

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:20:03.566057Z

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Unavailable: canonical work link unavailable.

Observation a5039827-ac67-4654-932e-5afb451284af · outbound

This paper cites Scikit-learn: Machine Learning in Python.

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

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:20:04.254295Z

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.

Pith citing papers

No inbound Pith citation observations are available.