Paper Citation Record · LEDGER

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.23136.

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

pith.paper-citation-record.v1
2607.23136 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:31:52.540048Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

31 of 31 outbound references displayed

verified exact6
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2859fa0c-491e-42b5-8cc5-d7da6d6825ac · outbound

This paper cites A Review of Image Processing Applications based on Raspberry -Pi,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi A Review of Image Processing Applications based on Raspberry -Pi,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:50.206338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836cc989-1efe-4aca-9aa1-67bfce091f00 · outbound

This paper cites Applications of Raspberry Pi for Precision Agriculture—A Systematic Review,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Applications of Raspberry Pi for Precision Agriculture—A Systematic Review,

Reference 2

Resolution: verified exact; doi, observed 2026-08-01T03:34:07.021132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf1d6a36-b539-4a60-8971-440195a692e8 · outbound

This paper cites A Review on Unmann ed Aerial Vehicle Remote Sensing: Platforms, Sensors, Data Processing Methods, and Applications,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi A Review on Unmann ed Aerial Vehicle Remote Sensing: Platforms, Sensors, Data Processing Methods, and Applications,

Reference 3

Resolution: verified exact; doi, observed 2026-08-01T03:34:06.844957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 655df8ea-7bdf-4220-891e-5caf7d3167bc · outbound

This paper cites Unmanned Aerial Vehicle for Remote Sensing Applications—A Review,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Unmanned Aerial Vehicle for Remote Sensing Applications—A Review,

Reference 4

Resolution: verified exact; doi, observed 2026-08-01T03:34:06.667678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b4c9e7db-8990-448f-a71b-ee118d9ca070 · outbound

This paper cites Applications of Remote Sensing in Precision Agriculture: A Review,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Applications of Remote Sensing in Precision Agriculture: A Review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:50.966731Z

Source-reported events for the cited work

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Observation 2ee4c320-76ed-4d77-b414-613747f4ec49 · outbound

This paper cites Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects,

Reference 6

Resolution: verified exact; doi, observed 2026-08-01T03:34:06.516403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d81a1543-8a3b-4612-abd4-58a774eb9f1a · outbound

This paper cites Hyperspectral Oceanic R emote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Hyperspectral Oceanic R emote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:51.267608Z

Source-reported events for the cited work

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Observation cf4009b3-b802-4d75-aa6f-258fc772f631 · outbound

This paper cites Partial linear NMF-based unmixing methods for detection and area estimation of photovoltaic panels in urban hyperspectral remote sensing data,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Partial linear NMF-based unmixing methods for detection and area estimation of photovoltaic panels in urban hyperspectral remote sensing data,

Reference 8

Resolution: verified exact; doi, observed 2026-08-01T03:34:06.377302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 012c1638-e535-4175-9bf0-351b687ac3ec · outbound

This paper cites Hyperspectral Imagery for Environmental Urban Planning,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Hyperspectral Imagery for Environmental Urban Planning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:51.624490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 550f95b0-783d-47a0-9686-92883654068d · outbound

This paper cites Hypersharpening by an NMF-Unmixing-Based Method Addressing Spectral Variability,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Hypersharpening by an NMF-Unmixing-Based Method Addressing Spectral Variability,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:51.724181Z

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Unavailable: canonical work link unavailable.

Observation aa68133d-f4aa-4c5c-a0df-7d03560c2192 · outbound

This paper cites A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively - Tuned Mixing Model,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively - Tuned Mixing Model,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:51.785468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aaf854a-1e1a-48c3-b823-5645ac3d3453 · outbound

This paper cites Implementation of a Lightweight Hyperspectral and Multispectral Image Fusion Method for Earth Observation on Raspberry,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Implementation of a Lightweight Hyperspectral and Multispectral Image Fusion Method for Earth Observation on Raspberry,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:51.850615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5ef97fd-e512-45aa-9aca-5cadbd337480 · outbound

This paper cites Hyperspectral and Multispectral Image Fusion with Au tomated Extraction of Image -Based Endmember Bundles and Sparsity -Based Unmixing to Deal with Spectral Variability,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Hyperspectral and Multispectral Image Fusion with Au tomated Extraction of Image -Based Endmember Bundles and Sparsity -Based Unmixing to Deal with Spectral Variability,

Reference 14

Resolution: verified exact; doi, observed 2026-08-01T03:34:06.197730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3659c240-ad66-4219-9a89-42a54bd7d24c · outbound

This paper cites Improving Hypersharpening for WorldView-3 Data,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Improving Hypersharpening for WorldView-3 Data,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.012142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178cf3c4-7987-47c7-a2da-5e3263b4914b · outbound

This paper cites Hyper-sharpening: A first approach on SIM -GA data,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Hyper-sharpening: A first approach on SIM -GA data,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.057816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7000798-dbd4-44f4-b036-c9dbfccc20e2 · outbound

This paper cites Hyperspectral and Mutlispectral Image Fusion Based on Spectral Library and Sparse Unmixing to Address Spectral Variability,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Hyperspectral and Mutlispectral Image Fusion Based on Spectral Library and Sparse Unmixing to Address Spectral Variability,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.137313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a98e10-0d08-4fe4-9003-bfee9981fc79 · outbound

This paper cites Spectral Variability in Hyperspectral Data Unmixing: A comprehensive review,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Spectral Variability in Hyperspectral Data Unmixing: A comprehensive review,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.181522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819e35b5-7253-42d3-ac72-6c867fc5cf2f · outbound

This paper cites Advances in hyperspectral image unmixing: From algorithmic frameworks to practical applications,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Advances in hyperspectral image unmixing: From algorithmic frameworks to practical applications,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.259498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddaba4aa-22e4-4a7e-b2eb-a28fd55ac0a0 · outbound

This paper cites Vertex component analysis: A fast algorithm to unmix hyperspectral data,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Vertex component analysis: A fast algorithm to unmix hyperspectral data,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.307097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b5bcda-24aa-4f65-8756-dcc0f3e65be6 · outbound

This paper cites Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.418648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d82ca7f8-616e-4699-9300-af7774e0509f · outbound

This paper cites Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.458601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8169e0e7-8b09-478f-ae2c-09160244a2c1 · outbound

This paper cites Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.502175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1207613-894b-48a9-b9f1-9823bfb56e82 · outbound

This paper cites Rasperry Pi 5 Linpack Benchmark.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Rasperry Pi 5 Linpack Benchmark

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.506646Z

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Unavailable: canonical work link unavailable.

Observation 53b98e7d-c685-4650-a6e9-ce6d0287e3f9 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.511006Z

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Unavailable: canonical work link unavailable.

Observation 7d959e24-d895-491a-95e4-d16c883c3856 · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.515566Z

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Unavailable: canonical work link unavailable.

Observation 5ea7172d-ef79-49ce-9ff1-8ce8e534a49a · outbound

This paper cites ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi ExecuTorch -- A Unified PyTorch Solution to Run AI Models On-Device

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.519568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c7b54b-3d56-4394-9339-dee2e9ddcaa7 · outbound

This paper cites XNNPACK: High -efficiency floating -point neural network inference operators for mobile, server, and Web.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi XNNPACK: High -efficiency floating -point neural network inference operators for mobile, server, and Web

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.524311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17888e4e-04c5-4abe-b199-7a6215b6fd4b · outbound

This paper cites ONNX Runtime.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi ONNX Runtime

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.528330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa892ad8-82f9-44d4-8058-1991937a6281 · outbound

This paper cites On Optimizing Deep Neural Networks Inference on CPUs for Brain-Computer Interfaces using Inference Engines,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi On Optimizing Deep Neural Networks Inference on CPUs for Brain-Computer Interfaces using Inference Engines,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.532305Z

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Unavailable: canonical work link unavailable.

Observation b4f0dae0-54f1-4f2c-a83d-e2f7735e4684 · outbound

This paper cites Insights into resource utilization of code small language models serving with runtime engines and execution providers,.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Insights into resource utilization of code small language models serving with runtime engines and execution providers,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.536167Z

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Unavailable: canonical work link unavailable.

Observation 23db601b-7516-451c-92e5-4c18971d4977 · outbound

This paper cites an unresolved cited work.

Optimized Embedded Implementation of Hyperspectral-Multispectral Image Fusion on Raspberry Pi Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T03:31:52.540048Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.