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Paper Citation Record · LEDGER

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.21675.

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

pith.paper-citation-record.v1
2507.21675 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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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

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation dbfacb65-d101-4100-84cc-759d7fab772e · outbound

This paper cites Medical hyperspectral imaging: a review,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Medical hyperspectral imaging: a review,

Reference 1

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This paper cites Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review,

Reference 2

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Observation cbb5e676-eef3-4278-8ad8-1c2ba0f9b5c2 · outbound

This paper cites Novel Methodology for Alzheimer’s Disease Biomarker Identification in Plasma using Hyperspectral Microscopy,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Novel Methodology for Alzheimer’s Disease Biomarker Identification in Plasma using Hyperspectral Microscopy,

Reference 4

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This paper cites Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging,

Reference 5

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This paper cites Leukocyte classification based on spatial and spectral features of microscopic hyperspectral images,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Leukocyte classification based on spatial and spectral features of microscopic hyperspectral images,

Reference 6

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This paper cites Hyperspectral microscopy- applications of hyperspectral imaging techniques in different fields of science: a review of recent advances,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Hyperspectral microscopy- applications of hyperspectral imaging techniques in different fields of science: a review of recent advances,

Reference 7

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Observation 30637120-eef0-491d-82ca-536f0342c577 · outbound

This paper cites Hyperspectral Push- Broom Microscope Development and Characterization,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Hyperspectral Push- Broom Microscope Development and Characterization,

Reference 8

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Observation 86121d02-2822-4041-a050-6487315bcc8f · outbound

This paper cites Design and Validation of a Custom-Made Hyperspectral Microscope Imaging System for Biomedical Applications,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Design and Validation of a Custom-Made Hyperspectral Microscope Imaging System for Biomedical Applications,

Reference 9

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Unresolved cited work

Reference 10

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Observation bafbd957-5552-4b7f-80a7-55cc38eb16c3 · outbound

This paper cites An autofocus algorithm considering wavelength changes for large scale microscopic hyperspectral pathological imaging system,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations An autofocus algorithm considering wavelength changes for large scale microscopic hyperspectral pathological imaging system,

Reference 12

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This paper cites An overview of pre-processing methods available for hyperspectral imaging applications,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations An overview of pre-processing methods available for hyperspectral imaging applications,

Reference 14

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Observation 1f140c01-dca9-43b2-a2d4-6fde982c2c4e · outbound

This paper cites Diffusion Theory of Light Transport,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Diffusion Theory of Light Transport,

Reference 15

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This paper cites The microwave and infrared spectra and structure of hydrothiophosphoryl difluoride,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations The microwave and infrared spectra and structure of hydrothiophosphoryl difluoride,

Reference 16

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This paper cites Tissue Processing and Hematoxylin and Eosin Staining,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Tissue Processing and Hematoxylin and Eosin Staining,

Reference 17

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Observation 1681f36b-22ed-4228-bb3d-d24fb43fc972 · outbound

This paper cites Histological Stains: A Literature Review and Case Study,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Histological Stains: A Literature Review and Case Study,

Reference 18

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Observation b80ebe9c-7ceb-4bfc-8e8c-a096e406ac41 · outbound

This paper cites Monte Carlo Modeling of Light Transport in Tissues,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Monte Carlo Modeling of Light Transport in Tissues,

Reference 19

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Unresolved cited work

Reference 21

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Observation 2fc51437-f9c2-47c5-8e20-cc463c2c1e7f · outbound

This paper cites Molecular Spectral Imaging System for Quantitative Immunohistochemical Analysis of Early Diabetic Retinopathy,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Molecular Spectral Imaging System for Quantitative Immunohistochemical Analysis of Early Diabetic Retinopathy,

Reference 22

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This paper cites New microscopic pushbroom hyperspectral imaging system for application in diabetic retinopathy research,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations New microscopic pushbroom hyperspectral imaging system for application in diabetic retinopathy research,

Reference 23

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This paper cites Quantitative Analysis of Protective Effect of Erythropoietin on Diabetic Retinal Cells Using Molecular Hyperspectral Imaging Technology,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Quantitative Analysis of Protective Effect of Erythropoietin on Diabetic Retinal Cells Using Molecular Hyperspectral Imaging Technology,

Reference 24

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Observation 7630da96-1e89-4934-83ba-b023d8a8879a · outbound

This paper cites Microscopic hyperspectral imaging studies of normal and diabetic retina of rats,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Microscopic hyperspectral imaging studies of normal and diabetic retina of rats,

Reference 25

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This paper cites Optical density- based image analysis method for the evaluation of hematoxylin and eosin staining precision,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Optical density- based image analysis method for the evaluation of hematoxylin and eosin staining precision,

Reference 26

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This paper cites Intraoperative Assessment of Tumor Margins in Tissue Sections with Hyperspectral Imaging and Machine Learning,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Intraoperative Assessment of Tumor Margins in Tissue Sections with Hyperspectral Imaging and Machine Learning,

Reference 27

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This paper cites Blur-Specific No-Reference Image Quality Assesment for Microscopic Hyperspectral Image Focus Quantification,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Blur-Specific No-Reference Image Quality Assesment for Microscopic Hyperspectral Image Focus Quantification,

Reference 28

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Instrumentation Evaluation for Hyperspectral Microscopy Targeting Enhanced Medical Histology,

Reference 29

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Optical properties of biological tissues: a review,

Reference 30

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This paper cites Using DRS during breast conserving surgery: identifying robust optical parameters and influence of inter-patient variation,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Using DRS during breast conserving surgery: identifying robust optical parameters and influence of inter-patient variation,

Reference 31

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Observation 6bf78a1f-cafa-4eb9-bdc4-19b85cb5e1c2 · outbound

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Spectral sensing for tissue diagnosis during lung biopsy procedures: The importance of an adequate internal reference and real-time feedback,

Reference 32

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Tissue biomolecular and microstructure profiles in optical colorectal cancer delineation,

Reference 33

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Intraoperative liver steatosis characterization using diffuse reflectance spectroscopy,

Reference 34

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Measurement of optical transport properties of normal and malignant human breast tissue,

Reference 35

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Observation 9a5e01b1-8b6b-4dee-a0f6-37ae690ca7f2 · outbound

This paper cites Optical properties of human colon tissues in the 350 – 2500 nm spectral range,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Optical properties of human colon tissues in the 350 – 2500 nm spectral range,

Reference 37

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This paper cites Estimation of anisotropy coefficient of swine pancreas, liver and muscle at 1064 nm based on goniometric technique,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Estimation of anisotropy coefficient of swine pancreas, liver and muscle at 1064 nm based on goniometric technique,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:02.689403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.346530Z digest=sha256:bdfbb53ebf11fd8aea1165a1e058645913bc0c292871d4d4065bfa18f667897d

Observation 0ddd47cc-820d-4c5e-8158-936059b76349 · outbound

This paper cites Extinction and absorption coefficients and scattering phase functions of human tissues in vitro,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Extinction and absorption coefficients and scattering phase functions of human tissues in vitro,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:02.742877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.407007Z digest=sha256:c99dec9855b441c2ca9dd1709ec244deedfb756d07b4153a0a0d936ba2a5b3fc

Observation 4a7c0c50-2681-40a1-b420-fafe62186177 · outbound

This paper cites Hyperspectral imaging: calibration problems and solutions,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Hyperspectral imaging: calibration problems and solutions,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:02.668654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.454495Z digest=sha256:e257b6d1184cce448c2a932484757bff0c8dfbc0d9f12f4b1f78932f59afa13a

Observation 069915a4-c6d8-4d2a-9f93-d50c0b0389c4 · outbound

This paper cites Chang, Hyperspectral Imaging (Springer US, 2003).

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Chang, Hyperspectral Imaging (Springer US, 2003)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:02.379652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.480967Z digest=sha256:267683152e10f8b45769d1009d23afb0b654ea7d8454afd0931e5a09ed1ada77

Observation 7fd872d7-46ba-4c16-b0b9-b7f4d16b6098 · outbound

This paper cites Graphics-processing-unit-accelerated Monte Carlo simulation of polarized light in complex three-dimensional media,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Graphics-processing-unit-accelerated Monte Carlo simulation of polarized light in complex three-dimensional media,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:02.231068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.550729Z digest=sha256:c3c1a4b5a92b2916b86b3f3e80a27e76e7521fc6da81ebdf6e386986c027dd52

Observation defde9f8-16ba-4344-9b3a-fa2c9af922a9 · outbound

This paper cites Monte Carlo Simulation of Photon Migration in 3D Turbid Media Accelerated by Graphics Processing Units,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Monte Carlo Simulation of Photon Migration in 3D Turbid Media Accelerated by Graphics Processing Units,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:01.981364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.572826Z digest=sha256:4ec58c6a87f97a4c891cf7c2951549b4cb7ec09e0873174489bfcae587d30d5d

Observation 984ce420-35f6-4448-ab30-4b4ed8e7431b · outbound

This paper cites MCX Cloud—a modern, scalable, high-performance and in-browser Monte Carlo simulation platform with cloud computing,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations MCX Cloud—a modern, scalable, high-performance and in-browser Monte Carlo simulation platform with cloud computing,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:03.066287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.590028Z digest=sha256:af1bd70aaa23ca9104d6057bacf22208369934189a951683fdd6457f369c20c9

Observation 72f5f240-9b5b-46b1-8873-8e9425469f98 · outbound

This paper cites Hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:01.795039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.613250Z digest=sha256:f3fddfe3d9e92dc22bbe95b91ba8c4c4b3a42c64acf002e965fc3cc8cb1d4779

Observation 4b5ed21d-1e2e-4cc8-a7d3-2d9a4152f638 · outbound

This paper cites Designing a use-error robust machine learning model for quantitative analysis of diffuse reflectance spectra,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Designing a use-error robust machine learning model for quantitative analysis of diffuse reflectance spectra,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:01.702544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.679097Z digest=sha256:79b6b0d865ec0cd9868dd823a98587efcbef6915d6df2ff34d0098126f123fc8

Observation 05340023-d80d-4179-8a60-a30db74c0152 · outbound

This paper cites The spectral image processing system (SIPS)—interactive visualization and analysis of imaging spectrometer data,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations The spectral image processing system (SIPS)—interactive visualization and analysis of imaging spectrometer data,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:01.518426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.720381Z digest=sha256:a932bb33a8d952b480c136a4d879703d859105f25dfc5b1a9a1424e5a12f7c35

Observation e0e6218a-79b9-40cc-8565-99914309640b · outbound

This paper cites An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:01.396262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.756315Z digest=sha256:48105e87b921fa3f615d6b710ba5b7c377e1ce741a782cb2ddfbe1b8f10e1dd3

Observation 085ae0bd-cdde-4580-9ade-abe534423884 · outbound

This paper cites New hyperspectral discrimination measure for spectral characterization,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations New hyperspectral discrimination measure for spectral characterization,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:01.207027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.798593Z digest=sha256:b2dc7fdd40d021bd668f9f5b86dc9c07a012c8318d4e8cb9edeef5121ec2feb4

Observation 9e9393cf-4bf2-4f17-9ab4-c77b132dc96c · outbound

This paper cites Light transport in tissue,.

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations Light transport in tissue,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:37:01.100748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T12:37:00.872242Z digest=sha256:fad8693f9b8009e4c01e111028905731a0dea193636ac61c14012debb4364355

Pith citing papers

No inbound Pith citation observations are available.