Pith. sign in

Paper Citation Record · LEDGER

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.26204.

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

pith.paper-citation-record.v1
2606.26204 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T01:37:01.785422Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49773c58-8862-4d35-8f9c-5364dd73080d · outbound

This paper cites Deep learning in remote sensing: A comprehensive review and list of resources,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Deep learning in remote sensing: A comprehensive review and list of resources,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:f7e48e6051a03caccdfce658ba11119ecf28157dd73f752b58c6ef9297810083

Observation 611b5a54-3136-43f6-898c-b2cd4cead9a4 · outbound

This paper cites Flood detection with SAR: A review of techniques and datasets,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Flood detection with SAR: A review of techniques and datasets,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:513a35b6a42367e3b3109d5ac76764d5a5a12bc466941089522637d830edc17c

Observation 8828842b-d13b-4bda-9186-e76184cf4fe8 · outbound

This paper cites A tutorial on synthetic aperture radar,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery A tutorial on synthetic aperture radar,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:fb6d508c57b7ab7ada391a092b7e117d3dbbd3d472a0f25af4cb113ac7381954

Observation d486a3bb-45e4-4f6c-8d3b-92d4758e5adc · outbound

This paper cites Flood detection in time series of optical and SAR images,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Flood detection in time series of optical and SAR images,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:b9c72073ffb2f431830b9514bfcea61f911a1d09c3bb6548669935cd10105e81

Observation eca11895-e93c-4f37-942c-8a19bf770c69 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Deep Residual Learning for Image Recognition

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-01T18:45:59.318433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:74c1bdcadeebd0edf32198edcf037540294ecdbff957e6ff511567e88c5389f2

Observation 7e0cb78a-7670-4bf7-acb6-7142b59c5c11 · outbound

This paper cites Learning phrase representations using RNN encoder–decoder for statistical machine translation,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Learning phrase representations using RNN encoder–decoder for statistical machine translation,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:e3a8abbaf048c7b5ec51da64543dede000b7d3f7ed00de5d1e5b271cde8d710b

Observation dc876d03-4de3-470a-9883-bbf2cb94825e · outbound

This paper cites Navigating spatial insights: Comparative exploration of deep learning algorithms for flood detection using remote sensing data,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Navigating spatial insights: Comparative exploration of deep learning algorithms for flood detection using remote sensing data,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:c7684fa7bd0d2a5f69993cb24447bb7bef08ff29986fc65ff6b8a702d360dce4

Observation 9d7ddead-1ac9-4e00-a214-6e03a12f7adb · outbound

This paper cites Vision transformer for flood detection using satellite images from Sentinel-1 and Sentinel-2,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Vision transformer for flood detection using satellite images from Sentinel-1 and Sentinel-2,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:6d195769ca041baa9820aac88eedb3cf04e32a94d6072980e71f66aa20e61df0

Observation 9d528695-df1e-4101-924f-ce76b9850422 · outbound

This paper cites Topological methods in machine learning: A tutorial for practitioners,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Topological methods in machine learning: A tutorial for practitioners,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:1265d67ae7179fced4b773e678414b53386cb363aa4251c5c9fa40cacba4d066

Observation 84198d5e-50ca-460c-a8ea-6528c46b6a62 · outbound

This paper cites PHG-Net: Persistent homology guided medical image classification,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery PHG-Net: Persistent homology guided medical image classification,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:3ce48324f9c0875890d1bc6880c6eca608be9cf7ed02944052d0c053781333d7

Observation f9a352a5-d8db-4e94-9401-183cdb7e0fac · outbound

This paper cites Image classification using combination of topological features and neural networks,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Image classification using combination of topological features and neural networks,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:0994cabcf2995ac8c40c6f25e632a44acf342fc67ecc8113184af56d472e0d89

Observation c90c060c-c53f-4962-abd7-731255e56498 · outbound

This paper cites Improving remote sensing classification using topological data analysis and convolutional neural networks,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Improving remote sensing classification using topological data analysis and convolutional neural networks,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:5f9ebb7b5f232f6039bbcd0b72c17b1e1884c820839437bc7aad6f4a4ac0c1ca

Observation f7e3613b-1223-45cb-8b7c-d22f0def1335 · outbound

This paper cites The multimedia satellite task at MediaEval 2019,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery The multimedia satellite task at MediaEval 2019,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:91dd6fd17e3eb5992cd981af7c845aa96376c478e1684be4cd7253146bad8858

Observation f163674b-8dfe-4a57-8d3b-39585a51dbdd · outbound

This paper cites Cubical Ripser: Software for computing persistent homology of image and volume data.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Cubical Ripser: Software for computing persistent homology of image and volume data

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:45:59.315822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:4d056cdee61eec96a0a052ff90933b10574898b9f2507514f29fcbccd9ddd2f0

Observation 754325b0-2177-4876-84e6-396640f5e522 · outbound

This paper cites Stability of persistence diagrams,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Stability of persistence diagrams,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:1f5f9a2801e71535bb0c50faf26b8c55a2f11885f8a404c240967c0d260594de

Observation fb81f054-4cdb-4f25-9f85-3977247b5735 · outbound

This paper cites NDWI—a normalized difference water index for remote sensing of vegetation liquid water from space,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery NDWI—a normalized difference water index for remote sensing of vegetation liquid water from space,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:0af075b2a73e04c6be9d206e259998ba1382cf60ba2b2254ff5d159c5e9e4ff8

Observation d920019c-aee7-415b-9078-6ed00be7bfe9 · outbound

This paper cites Rasterio: Geospatial raster I/O for Python programmers,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Rasterio: Geospatial raster I/O for Python programmers,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:f22bcb934bc5b1c98f8dd169b7570c063fe7bce23711c093a8105ca408a3046a

Observation 2ace5708-2bf3-496c-b3f8-0a42641599bc · outbound

This paper cites Statistical topological data analysis using persistence landscapes,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Statistical topological data analysis using persistence landscapes,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:8b2d74ef3d39e5d0cb152f1fd6a8b93ac53b5f881ef5bd79505a5c5059f7b00f

Observation c7a52180-51ae-4b94-8646-7248fd1a1707 · outbound

This paper cites Persistence images: A stable vector representation of persistent homology,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Persistence images: A stable vector representation of persistent homology,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:00214462961853a0b967c1beabcce3066da3c15066bcf85ed0432cbe1515ed3e

Observation 9f614b7e-adbf-4e4d-91ee-99049ef77288 · outbound

This paper cites A stable multi-scale kernel for topological machine learning,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery A stable multi-scale kernel for topological machine learning,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:1990c7bbaf8698c2d9b829e91c711fc2d3f734b1f586d56d6a37bff97d2b5d92

Observation b3f8974d-b7f6-4f52-ba20-ee7afee47bc6 · outbound

This paper cites Persistence weighted gaussian kernel for topological data anal- ysis,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Persistence weighted gaussian kernel for topological data anal- ysis,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:46bbafb02d4b7490ace6ab932d3eb1b699d1a6fa5cbf2ae72633f9c9c16270c6

Observation ff09cc70-0ef7-4211-a993-c8a51faf2c53 · outbound

This paper cites Sliced wasserstein kernel for persistence diagrams,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Sliced wasserstein kernel for persistence diagrams,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:88c7254bbbe0085ae4b64e6b1acbb3eaf68308bba216057c1d56492d59a496b4

Observation 15bf313f-6c60-44d2-ad2d-bc35596a7d35 · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery PyTorch: An imperative style, high-performance deep learning library,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:60eba1c3cdad1dfe530475a3990011a11d67f6da6c6a0388f5797ed254a54069

Observation a277acbf-4dbc-4bd1-bbed-04f780213598 · outbound

This paper cites ConfigILM: A general purpose configurable library for combining image and language models for visual question answering,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery ConfigILM: A general purpose configurable library for combining image and language models for visual question answering,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:e23e06f9dcd94fb6df91704612675e81795d46cac7c5bff34b624e3a757b8aac

Observation 1f729b81-4b8f-4492-bd5f-2354ffc27b09 · outbound

This paper cites reBEN: Refined BigEarthNet dataset for remote sensing image analysis,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery reBEN: Refined BigEarthNet dataset for remote sensing image analysis,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:aa61ccc8e475d73fcf9c9c22274452c73070b8fb96254c6f15c6c9647c54f855

Observation a085be35-8f75-4170-8bba-12c440b70f4b · outbound

This paper cites PersLay: A neural network layer for persistence diagrams and new graph topological signatures,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery PersLay: A neural network layer for persistence diagrams and new graph topological signatures,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:101b88cd2dd46daf488da8276e9200eb4bc91de50a434ee5fcbaf27c50caca0b

Observation a87d83df-d64c-4410-9a0d-92069e87af57 · outbound

This paper cites Learning representations of persistence barcodes,.

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery Learning representations of persistence barcodes,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-29T01:37:01.785422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T01:37:01.785422Z digest=sha256:9a33d7387ed9b9751d274818a25e80d74b45c8f33b7b82cf41e33b1cad73e7bd

Pith citing papers

No inbound Pith citation observations are available.