Paper Citation Record · LEDGER

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2502.02624.

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

pith.paper-citation-record.v1
2502.02624 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:32:31.588566Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

37 of 37 outbound references displayed

verified exact8
verified fuzzy2
unresolved22
parse uncertain0
malformed identifier4
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ceee8d3d-6d14-4b2a-aecc-a3f74606eae9 · outbound

This paper cites First-of-a-kind muography for nuclear waste characterization.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications First-of-a-kind muography for nuclear waste characterization

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-09T12:32:31.475280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2724186b-96f7-4c98-840f-b2688e1958a8 · outbound

This paper cites Cosmic-Ray Tomography for Border Security.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Cosmic-Ray Tomography for Border Security

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.478953Z

Source-reported events for the cited work

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Observation 75080449-6d32-49cb-8c8b-63301e69f77f · outbound

This paper cites Applications of Muography to the Industrial Sector.J.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Applications of Muography to the Industrial Sector.J

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.482688Z

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Observation ae1700e3-5bea-4daa-ab51-9024e6dfdc68 · outbound

This paper cites Cosmic ray tracking to monitor the stability of historical buildings: A feasibility study.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Cosmic ray tracking to monitor the stability of historical buildings: A feasibility study

Reference 4

Resolution: verified exact; doi, observed 2026-08-09T12:32:31.757317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aac042f2-1192-4a2f-919e-b30d2f38c0f6 · outbound

This paper cites Muon Tomography of the Interior of a Reinforced Concrete Block: First Experimental Proof of Concept.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Muon Tomography of the Interior of a Reinforced Concrete Block: First Experimental Proof of Concept

Reference 5

Resolution: verified exact; doi, observed 2026-08-09T12:32:31.747724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6ea34788-78d9-4689-bbe3-a631970eaec2 · outbound

This paper cites Statistical Reconstruction for Cosmic Ray Muon Tomography.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Statistical Reconstruction for Cosmic Ray Muon Tomography

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-09T12:32:31.496485Z

Source-reported events for the cited work

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Observation db551737-8935-4ab2-afab-8da4538a1e67 · outbound

This paper cites Cosmic rays for imaging cultural heritage objects.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Cosmic rays for imaging cultural heritage objects

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-09T12:32:31.737946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e188d236-ac4d-433c-88c7-f0804289413f · outbound

This paper cites Muography for Inspection of Civil Structures.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Muography for Inspection of Civil Structures

Reference 8

Resolution: verified exact; doi, observed 2026-08-09T12:32:31.725205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b629156-3ccb-4c4b-9052-9bb090d9ffe6 · outbound

This paper cites MedGAN: Medical image translation using GANs.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications MedGAN: Medical image translation using GANs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.506227Z

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Observation 4c3e3c69-03e4-4505-a89a-2ebc70d07450 · outbound

This paper cites A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies with Progress Highlights, and Future Promises.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies with Progress Highlights, and Future Promises

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.509756Z

Source-reported events for the cited work

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Observation d0e12621-86fd-49e3-b132-94ca2ed59eeb · outbound

This paper cites Segment anything in medical images.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Segment anything in medical images

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.512421Z

Source-reported events for the cited work

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Observation fb664e30-e108-483e-ab50-2bdd77e8a0ac · outbound

This paper cites Geant4—A simulation toolkit.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Geant4—A simulation toolkit

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.515312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac2bd13c-8dbe-41ae-bea5-73579fc50f8a · outbound

This paper cites Geant4 developments and applications.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Geant4 developments and applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.518540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bac393d2-98bd-4fde-9bdb-9de2fcebf845 · outbound

This paper cites Recent developments in Geant4.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Recent developments in Geant4

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.521361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82add171-bb8a-45b9-89fc-d4142c47a925 · outbound

This paper cites EcoMug: An Efficient COsmic MUon Generator for cosmic-ray muon applications.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications EcoMug: An Efficient COsmic MUon Generator for cosmic-ray muon applications

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-09T12:32:32.189231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3aaeb909-a8c4-4fc9-b49e-7403f099d992 · outbound

This paper cites Muon tomography for railway tunnel imaging.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Muon tomography for railway tunnel imaging

Reference 16

Resolution: verified exact; doi, observed 2026-08-09T12:32:31.699074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b1e990c-2aed-4711-a71a-3f587c44aff7 · outbound

This paper cites Structural health monitoring of sabo check dams with cosmic-ray muography.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Structural health monitoring of sabo check dams with cosmic-ray muography

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.529207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccf27c7e-113c-47e3-b620-c3db756e239c · outbound

This paper cites Investigation of the Unit-1 nuclear reactor of Fukushima Daiichi by cosmic muon radiography.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Investigation of the Unit-1 nuclear reactor of Fukushima Daiichi by cosmic muon radiography

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.532005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a4f52d0-ff19-49da-a3d3-f7851ccad52c · outbound

This paper cites Radiographic visualization of magma dynamics in an erupting volcano.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Radiographic visualization of magma dynamics in an erupting volcano

Reference 19

Resolution: verified exact; doi, observed 2026-08-09T12:32:31.685029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 337c53a7-eec8-498f-9b00-d08bad1fa3c9 · outbound

This paper cites Discovery of a big void in Khufu’s Pyramid by observation of cosmic-ray muons.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Discovery of a big void in Khufu’s Pyramid by observation of cosmic-ray muons

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.537626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb12f32c-7629-4844-81f6-bae144c19937 · outbound

This paper cites Cosmic-Ray Theory.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Cosmic-Ray Theory

Reference 21

Resolution: verified exact; doi, observed 2026-08-09T12:32:31.670798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd99b50c-dc2e-4a98-97cf-253ea08e478a · outbound

This paper cites Novel muon imaging techniques.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Novel muon imaging techniques

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.543306Z

Source-reported events for the cited work

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Observation ec66e1f3-32a3-43b8-8b03-fbe3b6a21138 · outbound

This paper cites Performance evaluation of cosmic ray muon trajectory estimation algorithms.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Performance evaluation of cosmic ray muon trajectory estimation algorithms

Reference 23

Resolution: verified exact; doi, observed 2026-08-09T12:32:31.661312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca312675-532b-4bba-9b02-5e1c6624a22f · outbound

This paper cites Cosmic Ray Muon Radiography.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Cosmic Ray Muon Radiography

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:32.526007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2e8bbecf-57ad-4bb3-be26-0fffea33d943 · outbound

This paper cites & Feldman, G.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications & Feldman, G

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.551656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2b43dca-7fa5-44ff-ba54-c8f2f92fd352 · outbound

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

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.554630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a9f1f8-f79f-4fa5-99f7-27875053407b · outbound

This paper cites U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.557400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e5115a-5c6a-4fe6-b6b1-796f00930d73 · outbound

This paper cites Measures of the Amount of Ecologic Association Between Species.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Measures of the Amount of Ecologic Association Between Species

Reference 28

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T12:32:32.517761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 429df703-a551-4ec8-9ebc-26d2ba41974e · outbound

This paper cites A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:32:32.508232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68cae875-5372-494b-bf57-3df2a329457d · outbound

This paper cites The design and performance of a scintillating-fibre tracker for the cosmic-ray muon tomography of legacy nuclear waste containers.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications The design and performance of a scintillating-fibre tracker for the cosmic-ray muon tomography of legacy nuclear waste containers

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.566570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b06f43-e0e6-4666-989c-d0deabdcb7ca · outbound

This paper cites Air void clustering in concrete and its effect on concrete strength.Int.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Air void clustering in concrete and its effect on concrete strength.Int

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.569352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb7b40c-7cf7-4ea3-88ef-4ad8bd49819e · outbound

This paper cites Image-to-Image Translation with Conditional Adversarial Networks.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Image-to-Image Translation with Conditional Adversarial Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.572086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df8f4171-37fa-4108-90e4-690897648f71 · outbound

This paper cites Wasserstein GAN.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Wasserstein GAN

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.575088Z

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Observation e96f6090-e8e8-4691-81c7-483fbaf7b962 · outbound

This paper cites Improved Training of Wasserstein GANs.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Improved Training of Wasserstein GANs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.578597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994ba147-3c7d-4abb-874e-7644184ba0f2 · outbound

This paper cites Image Quality Assessment: From Error Visibility to Structural Similarity.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Image Quality Assessment: From Error Visibility to Structural Similarity

Reference 35

Resolution: malformed identifier; no resolver link, observed 2026-08-09T12:32:31.581879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f4eaacd-684e-424e-8aa5-c98f0666b24b · outbound

This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.585048Z

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Unavailable: canonical work link unavailable.

Observation f7126ac6-42f2-4b69-ab2f-366c14863c12 · outbound

This paper cites Attention Is All You Need.

Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications Attention Is All You Need

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T12:32:31.588566Z

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Pith citing papers

No inbound Pith citation observations are available.