Paper Citation Record · LEDGER

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.08137.

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

pith.paper-citation-record.v1
2506.08137 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:24:57.537607Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy31
unresolved4
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metadata mismatch1

External citation measurements

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Outbound references

Observation 5f396f2e-c6b1-4d15-a887-f3d463f43775 · outbound

This paper cites Deep learning approaches applied to remote sensing datasets for road extraction: A state-of-the-art review.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Deep learning approaches applied to remote sensing datasets for road extraction: A state-of-the-art review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.991041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5fc41a5f-98dc-4831-9f2d-1b6431707149 · outbound

This paper cites Archuleta and Silvia Terziotti.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Archuleta and Silvia Terziotti

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.978398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e273de49-1b2b-49ff-bd0e-cd9c87d6c9cb · outbound

This paper cites Roadtracer: Automatic extraction of road networks from aerial images.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Roadtracer: Automatic extraction of road networks from aerial images

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.966510Z

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Observation 017eedbc-6f1e-497b-a46b-5f953c81daa0 · outbound

This paper cites Belt and Stephen W.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Belt and Stephen W

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.954637Z

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Observation 6f55272e-94a6-4b3d-bc0c-2a839ef18d0a · outbound

This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 5

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Source-reported events for the cited work

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Observation 033fb362-7421-4ed8-a65e-a58eb6ca32f2 · outbound

This paper cites Ga-net: A geometry prior assisted neural network for road extraction.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Ga-net: A geometry prior assisted neural network for road extraction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.942910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66c621e1-2911-4620-9352-05ca6ab20c23 · outbound

This paper cites Joint topology-preserving and feature-refinement network for curvilinear structure segmentation.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Joint topology-preserving and feature-refinement network for curvilinear structure segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.929493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 634bce07-9b23-4831-8beb-e3f60ff5b572 · outbound

This paper cites Improving road surface area extraction via semantic segmentation with conditional generative learning for deep inpainting operations.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Improving road surface area extraction via semantic segmentation with conditional generative learning for deep inpainting operations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.916518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dff1e984-ca9e-422c-a3dd-a31cf81fe6fa · outbound

This paper cites Creaco, G.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Creaco, G

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.903949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72c97c58-b824-441a-ab34-1a1deceb6905 · outbound

This paper cites Deepglobe 2018: A challenge to parse the earth through satellite images.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Deepglobe 2018: A challenge to parse the earth through satellite images

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.891037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 039c2bb6-3fb7-4c25-984f-28975755140e · outbound

This paper cites ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

Reference 11

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5137a904-ac08-4de4-9311-2ba1a2d63e0f · outbound

This paper cites Dijkstra.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Dijkstra

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.878526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54c6c3a1-7e7b-4427-be22-e35458889766 · outbound

This paper cites Canal water distribution optimization model based on water supply conditions.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Canal water distribution optimization model based on water supply conditions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.865600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed0e066e-5e0f-4c5a-a43c-cd21251912fa · outbound

This paper cites Hypermedia image processing reference (hipr2), 2003.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Hypermedia image processing reference (hipr2), 2003

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.852672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 266de71d-0ba5-4099-b25b-e9f06ac53fb8 · outbound

This paper cites Semi-supervised learning for segmentation under semantic constraint.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Semi-supervised learning for segmentation under semantic constraint

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.840364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca6f301c-31c5-48c2-b694-3aa65ed83c3c · outbound

This paper cites Deep learning for automatic extraction of water bodies using satellite imagery.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Deep learning for automatic extraction of water bodies using satellite imagery

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.828555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14ee28ab-8fe6-4669-8719-2f7b72e61408 · outbound

This paper cites Deep residual learning for image recognition, 2015.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Deep residual learning for image recognition, 2015

Reference 17

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Source-reported events for the cited work

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Observation 92badd7b-51a7-49f6-ab31-9ff5a714f6d3 · outbound

This paper cites Sat2graph: Road graph extraction through graph-tensor encoding.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Sat2graph: Road graph extraction through graph-tensor encoding

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.810046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a0b908d-2573-45cb-bace-63d51a445f77 · outbound

This paper cites Swin transformer embedding unet for remote sensing image semantic segmentation.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Swin transformer embedding unet for remote sensing image semantic segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.799411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd57312b-9894-476e-8b17-8a047de86f52 · outbound

This paper cites Pagsuyoin, Kumaraswamy Ponnambalam, and Mohammad J.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Pagsuyoin, Kumaraswamy Ponnambalam, and Mohammad J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.788841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9047d47e-dace-4135-a5dc-1a612f537849 · outbound

This paper cites Accurate water extraction using remote sensing imagery based on normalized difference water index and unsupervised deep learning.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Accurate water extraction using remote sensing imagery based on normalized difference water index and unsupervised deep learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.778151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23eee3b2-8ded-43cc-b878-0c25dfbecdbe · outbound

This paper cites Survey of road extraction methods in remote sensing images based on deep learning.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Survey of road extraction methods in remote sensing images based on deep learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.766818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f464340-5604-4c06-b3f3-fa7694d6a6fe · outbound

This paper cites Loureiro, P.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Loureiro, P

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.755272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2657bb82-2534-4e22-b523-7237a4d0b02d · outbound

This paper cites Extraction of surface water bodies using optical remote sensing images: A review.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Extraction of surface water bodies using optical remote sensing images: A review

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.744821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a93d1439-a63f-42e7-98e6-cc67f9774f39 · outbound

This paper cites Commercial Smallsat Data Acquisition Program.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Commercial Smallsat Data Acquisition Program

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.733678Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34082ae2-b0b5-4125-a52d-b7584a5a0099 · outbound

This paper cites National Hydrography Dataset.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation National Hydrography Dataset

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.720869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f1d5a3b-cde8-4c32-bb11-e1458138a99b · outbound

This paper cites Transforming our world: The 2030 agenda for sustainable development, 2015.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Transforming our world: The 2030 agenda for sustainable development, 2015

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.708983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d033c576-b834-425b-92c1-8a54cdcda30d · outbound

This paper cites Dionisio P\' e rez-Blanco, Arthur Hrast-Essenfelder, and Chris Perry.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Dionisio P\' e rez-Blanco, Arthur Hrast-Essenfelder, and Chris Perry

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.697313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 442a8157-b922-46f9-bbb3-7b460282f33d · outbound

This paper cites Automated extraction of energy systems information from remotely sensed data: A review and analysis.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Automated extraction of energy systems information from remotely sensed data: A review and analysis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.686264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2394a8e-0b12-42ba-b8a9-0fc71dd34778 · outbound

This paper cites Datasets.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Datasets

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.674640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 93c1f365-946b-436e-8d75-f87df10a12e2 · outbound

This paper cites an unresolved cited work.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:24:57.661466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d39e94ac-ef14-41f7-b9f0-7c23d7c62289 · outbound

This paper cites Modification of normalised difference water index (ndwi) to enhance open water features in remotely sensed imagery.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Modification of normalised difference water index (ndwi) to enhance open water features in remotely sensed imagery

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.649112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2c5c029-9107-4696-8900-96e901700e50 · outbound

This paper cites Boundary-guided semantic context network for water body extraction from remote sensing images.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Boundary-guided semantic context network for water body extraction from remote sensing images

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.636340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79699fb8-39c1-4f16-aaed-d6a187a71920 · outbound

This paper cites Road network representation learning: A dual graph-based approach.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation Road network representation learning: A dual graph-based approach

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.624042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d461221a-d037-42bb-a4c5-2ae845390457 · outbound

This paper cites D-linknet: Linknet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation D-linknet: Linknet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:24:57.612303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83bcbb24-7bff-4481-b08c-e157be7c6bbd · outbound

This paper cites write newline.

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:24:57.537607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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