Paper Citation Record · LEDGER

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing

As of 14 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2601.11794.

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

pith.paper-citation-record.v1
2601.11794 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T13:06:24.401616Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

17 of 17 outbound references displayed

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verified fuzzy16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd31973b-a8b7-403f-8d37-85ce433357d4 · outbound

This paper cites Auto-Encoders in Deep Learning—A Review with New Perspectives.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Auto-Encoders in Deep Learning—A Review with New Perspectives

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.839011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b98882a1-e682-4352-bbb8-66e4a73548d8 · outbound

This paper cites Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.832581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 98150ea3-a2c2-4273-aacc-829825c91c3f · outbound

This paper cites Wildfire Smoke Air Monitoring Response Technology (WSMART).

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Wildfire Smoke Air Monitoring Response Technology (WSMART)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.841141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4472faec-c4e5-432f-8821-c15afc541bb3 · outbound

This paper cites Performance of Vehicle Add-on Mobile Monitoring Sys- tem PM2.5 measurements during wildland fire episodes.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Performance of Vehicle Add-on Mobile Monitoring Sys- tem PM2.5 measurements during wildland fire episodes

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.854289Z

Source-reported events for the cited work

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Observation 3cf75ce0-7d95-455e-9786-a00fde208e6a · outbound

This paper cites Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.826046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d43cb1d8-d7e6-415f-8ed8-e22ba3949900 · outbound

This paper cites Field evaluation of low-cost electrochemical air quality gas sensors under extreme temperature and relative humidity conditions.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Field evaluation of low-cost electrochemical air quality gas sensors under extreme temperature and relative humidity conditions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.828115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6c8c4bd-8adb-4046-9509-be47c856fd97 · outbound

This paper cites Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Targeted Adversarial Denoising Autoencoders (TADA) for Neural Time Series Filtration

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:07:54.649143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 403fd48c-35af-444a-bfc6-02e93b2e8cd7 · outbound

This paper cites Wasserstein Auto-Encoders.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Wasserstein Auto-Encoders

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.847435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61321ff9-7ac8-4c23-8379-db32123cd513 · outbound

This paper cites Physics-Informed Masked Autoencoder for active sparse imaging.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Physics-Informed Masked Autoencoder for active sparse imaging

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.824084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 159780c9-96af-435f-abd7-d03170c36499 · outbound

This paper cites Physics-informed neural networks for parameter learning of wildfire spreading.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Physics-informed neural networks for parameter learning of wildfire spreading

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.830160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5e6926a-8021-4489-9589-97f72c009204 · outbound

This paper cites An advanced physics-informed neural network-based frame- work for nonlinear and complex topology optimization.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing An advanced physics-informed neural network-based frame- work for nonlinear and complex topology optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.845581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39f3e1df-671d-4fba-bf3d-2742ba6454da · outbound

This paper cites Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.852372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a1523a8-c49e-41eb-9360-cbc689b006d3 · outbound

This paper cites Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.843484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f4d4e6b-ca9d-490a-915a-6bb04e821968 · outbound

This paper cites Physics-Informed deep Autoencoder for fault detection in New-Design systems.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Physics-Informed deep Autoencoder for fault detection in New-Design systems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.850000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 130a14e6-77a0-4808-87d2-ae51a7f3af6d · outbound

This paper cites Correcting for background currents in four electrode toxic gas sensors.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Correcting for background currents in four electrode toxic gas sensors

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.834660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a01284bd-ade2-42c3-8c0a-522f2e40883a · outbound

This paper cites Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.836987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e6e51075-8879-4dac-bf9c-2f87f1280503 · outbound

This paper cites Contrastive blind denoising autoencoder for real time denoising of industrial IoT sensor data.

Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing Contrastive blind denoising autoencoder for real time denoising of industrial IoT sensor data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T13:07:54.856456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.