Paper Citation Record · LEDGER

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.02404.

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

pith.paper-citation-record.v1
2608.02404 v1

Coverage vector

measured 36 of 36 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 14b0b49a-17ef-4c0b-b800-2cd1cea02829 · outbound

This paper cites Frey,Die Loggia dei Lanzi zu Florenz: Eine quellenkritische Untersuchung.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Frey,Die Loggia dei Lanzi zu Florenz: Eine quellenkritische Untersuchung

Reference 1

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Observation a5c7ff3a-1be1-4578-80e5-57b119002eff · outbound

This paper cites Thermographic imaging in cultural heritage: A short review,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Thermographic imaging in cultural heritage: A short review,

Reference 2

Resolution: verified exact; doi, observed 2026-08-04T07:58:28.149185Z

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Observation 779725c8-ec90-4e42-883d-3aa4ae461d10 · outbound

This paper cites Infrared thermography (IRT) applications for building diagnostics: A review,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Infrared thermography (IRT) applications for building diagnostics: A review,

Reference 3

Resolution: verified exact; doi, observed 2026-08-04T07:58:27.945063Z

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Observation 7d9dfe31-2d88-4207-be41-102195434d6f · outbound

This paper cites Locating hidden elements in walls of cultural heritage buildings by using infrared thermography,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Locating hidden elements in walls of cultural heritage buildings by using infrared thermography,

Reference 4

Resolution: verified exact; doi, observed 2026-08-04T07:58:27.739821Z

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Observation c998620d-a8ad-4c2e-a83f-802be43207d6 · outbound

This paper cites Introduction of deep learning in thermographic monitoring of cultural heritage and improvement by automatic thermogram 16 pre-processing algorithms,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Introduction of deep learning in thermographic monitoring of cultural heritage and improvement by automatic thermogram 16 pre-processing algorithms,

Reference 5

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Observation b90e5ea3-ea91-47b6-8e48-19e24530eb5a · outbound

This paper cites A novel application of deep learning approach over IRT images for the automated detection of rising damp on historical masonries,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry A novel application of deep learning approach over IRT images for the automated detection of rising damp on historical masonries,

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-04T07:57:59.042592Z

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Observation 71bbf63d-1cdb-45ea-ba57-4af17be243e3 · outbound

This paper cites Automated wall moisture detection in heritage sites based on convolutional neural network (CNN) for infrared imagery,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Automated wall moisture detection in heritage sites based on convolutional neural network (CNN) for infrared imagery,

Reference 7

Resolution: verified exact; doi, observed 2026-08-04T07:58:27.588502Z

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Observation a91fcd6d-1b48-402a-9277-232fd7977c3b · outbound

This paper cites Using thermal infrared image processing technology of computer vision to protect art and cultural heritage,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Using thermal infrared image processing technology of computer vision to protect art and cultural heritage,

Reference 8

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Observation d5449174-f247-4970-93c9-b1f435501500 · outbound

This paper cites The secret lives of paintings,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry The secret lives of paintings,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T07:57:59.502679Z

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Observation d76b258a-2ae3-4a6f-9c50-f931e9275be5 · outbound

This paper cites ARtifact: Tablet-based augmented reality for interactive analysis of cultural artifacts,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry ARtifact: Tablet-based augmented reality for interactive analysis of cultural artifacts,

Reference 10

Resolution: verified exact; doi, observed 2026-08-04T07:58:27.274807Z

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Observation 5ae07ff3-2903-487a-b00e-312cb3c1d7b9 · outbound

This paper cites Protagonists of their own discovery: Engaging the European public with Florentine her- itage,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Protagonists of their own discovery: Engaging the European public with Florentine her- itage,

Reference 11

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Observation 74edff4c-b170-4005-9cea-765a061581e3 · outbound

This paper cites Automatic façade modelling using point cloud data for energy-efficient retrofitting,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Automatic façade modelling using point cloud data for energy-efficient retrofitting,

Reference 12

Resolution: verified exact; doi, observed 2026-08-04T07:58:26.921165Z

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Observation 8b3a9f1f-07fb-4df2-bd85-609805f59cbe · outbound

This paper cites Efficient osmosis filtering of thermal-quasi reflectography images for cultural heritage,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Efficient osmosis filtering of thermal-quasi reflectography images for cultural heritage,

Reference 13

Resolution: verified exact; doi, observed 2026-08-04T07:58:26.781973Z

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Observation dba70d77-17f9-489a-ac57-5f012def3458 · outbound

This paper cites Multiframe image restoration and registration,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Multiframe image restoration and registration,

Reference 14

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Observation cf804b26-f598-4339-9c52-83ae63badaa2 · outbound

This paper cites Improving resolution by image registration,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Improving resolution by image registration,

Reference 15

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Observation 971cfae8-b063-47a2-a525-a57711f17cc8 · outbound

This paper cites Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images,

Reference 16

Resolution: verified exact; doi, observed 2026-08-04T07:58:26.544736Z

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Observation 2b4050f1-587b-4aff-8826-48beb9f7d046 · outbound

This paper cites The perception-distortion tradeoff,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry The perception-distortion tradeoff,

Reference 17

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Observation f9ffc645-4dcd-4c6a-8ba3-0ea2971ee81e · outbound

This paper cites UltraMax — The ultimate resolution,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry UltraMax — The ultimate resolution,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T07:58:00.667901Z

Source-reported events for the cited work

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Observation bdf638c6-c7bd-45d3-852b-ea99415fc42d · outbound

This paper cites Thermal image super-resolution: A survey,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Thermal image super-resolution: A survey,

Reference 19

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Observation ab0610b6-76c4-4213-8b0e-72ec62f939bb · outbound

This paper cites Infrared image super resolution by combining compressive sensing and deep learning,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Infrared image super resolution by combining compressive sensing and deep learning,

Reference 20

Resolution: verified exact; doi, observed 2026-08-04T07:58:26.449960Z

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Observation 988351de-8f2e-48bf-a3e3-f4ea2dd6390b · outbound

This paper cites Swin Transformer: Hierarchical vision transformer using shifted windows,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Swin Transformer: Hierarchical vision transformer using shifted windows,

Reference 21

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Observation f7f4b60d-50eb-482d-9be3-87a4e41fbd23 · outbound

This paper cites SwinIR: Image Restoration Using Swin Transformer.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry SwinIR: Image Restoration Using Swin Transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T07:58:01.128512Z

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Observation f745d617-5990-4602-ac39-ecff42bf3f14 · outbound

This paper cites DRCT: Saving image super-resolution away from information bottleneck,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry DRCT: Saving image super-resolution away from information bottleneck,

Reference 23

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Observation 30e05428-5998-4c20-ba1c-dd5d9adcde57 · outbound

This paper cites Thermal image super-resolution challenge results — PBVS 2025,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Thermal image super-resolution challenge results — PBVS 2025,

Reference 24

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Observation b04aee6b-4c9f-4198-883c-f7508ec79131 · outbound

This paper cites DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution

Reference 25

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Observation dd758b88-3db7-4d31-91d4-64a293e7b5d5 · outbound

This paper cites AI upscaling supporting image alignment in photogrammetric reconstruction,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry AI upscaling supporting image alignment in photogrammetric reconstruction,

Reference 26

Resolution: verified exact; doi, observed 2026-08-04T07:58:26.104744Z

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Observation 379f4f63-191e-4ee1-97d8-54d8cb150363 · outbound

This paper cites Deep learning-based single image super-resolution: An investigation for dense scene reconstruction with UAS photogrammetry,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Deep learning-based single image super-resolution: An investigation for dense scene reconstruction with UAS photogrammetry,

Reference 27

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Observation 1c19bc4b-e990-4078-9a94-07fdbd3fc23f · outbound

This paper cites Florence Thermography and XR, Dec 1st – Jan 5th 2025, Florence, Italy,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Florence Thermography and XR, Dec 1st – Jan 5th 2025, Florence, Italy,

Reference 28

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Observation 557ba285-8ae0-4e79-ad51-0fbffe4d574c · outbound

This paper cites Florence As It Was: Palazzo Vecchio, City Hall, Florence — LiDAR — Terrestrial,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Florence As It Was: Palazzo Vecchio, City Hall, Florence — LiDAR — Terrestrial,

Reference 29

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Observation baa77b9a-ac6b-4c8c-b39b-83f032a90cc1 · outbound

This paper cites Florence, Turin, Milan March 3rd – 7th, 2025 Italy,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Florence, Turin, Milan March 3rd – 7th, 2025 Italy,

Reference 30

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Observation 517a8d3e-081d-4849-af9a-9b2d2e784fde · outbound

This paper cites 3D Radiometric Thermography Mosaics with Low-Cost Mobile Sensor Stack,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry 3D Radiometric Thermography Mosaics with Low-Cost Mobile Sensor Stack,

Reference 31

Resolution: verified exact; doi, observed 2026-08-04T07:58:25.434754Z

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Observation ee8e032f-4916-4afd-842e-3b8206983cba · outbound

This paper cites OpenHer- itage3D: An Open Platform for 3D Cultural Heritage Data Sharing and Visualization,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry OpenHer- itage3D: An Open Platform for 3D Cultural Heritage Data Sharing and Visualization,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T07:58:02.480664Z

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Observation fccf8c7d-b52f-41b2-907b-273a822d55bc · outbound

This paper cites Loggia dei Lanzi thermography 2025 — Florence — thermography, LiDAR — terrestrial,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Loggia dei Lanzi thermography 2025 — Florence — thermography, LiDAR — terrestrial,

Reference 33

Resolution: verified exact; doi, observed 2026-08-04T07:58:25.074748Z

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Observation 0ca97e68-25d7-4bdd-aaa4-e1fc611f9f3b · outbound

This paper cites Claude (Opus 4) [Large Language Model],.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Claude (Opus 4) [Large Language Model],

Reference 34

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Observation e6f223c1-3030-44cb-806a-3fc4dab2f7b7 · outbound

This paper cites 3D thermography: Processing scripts for the thermal super-resolution comparison pipeline,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry 3D thermography: Processing scripts for the thermal super-resolution comparison pipeline,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T07:58:02.881560Z

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Observation f84feb37-aa74-43b4-b091-67dad011957c · outbound

This paper cites Advancement of infrared thermography for built heritage,.

Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry Advancement of infrared thermography for built heritage,

Reference 36

Resolution: verified exact; doi, observed 2026-08-04T07:58:24.734735Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.