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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

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  • unresolved4
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External citation measurements

No source-named external measurement is stored.

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

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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

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.410243Z digest=sha256:2dcf0e8a00fffa92df3c979c2542f33cad2bf3a89c4834a46a09a56848f10b9c

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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source=arxiv_source observed=2026-08-07T05:24:57.418401Z digest=sha256:f43a5bade8f679b32fd0293f814d420978a1051006cc9a535c7350b643b5e40b

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.423273Z digest=sha256:8b5bcee9c010aeabdd602d7c5a89de09e434478b6aa6678e7e679b4d9f6e2fc1

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.428362Z digest=sha256:2bce3219fd52f84643d13a94f384728ad4199717b151b65d65a4cd286df3abc8

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

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source=arxiv_source observed=2026-08-07T05:24:57.431933Z digest=sha256:1fe5515986d2337f7a90e5665a167c81ea4eb1fa7a5f54b0bd7ab39cccfed899

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

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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

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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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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

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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

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source=arxiv_source observed=2026-08-07T05:24:57.451318Z digest=sha256:a9ed13eb6bac132ff8f3f526a14b75d0ed75353d43ab58df07d1d75caf5e9b4d

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

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source=arxiv_source observed=2026-08-07T05:24:57.454953Z digest=sha256:c4a559db4ddf1719fb8db021b54ea5a6bc69ae147ba0aa4f102359ff53a3f113

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

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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

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source=arxiv_source observed=2026-08-07T05:24:57.462352Z digest=sha256:e534318219a9f9e6766fe2d5ccac5a04f3b5eaf2c10d9f9864eb1ca12994a421

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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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

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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

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.476496Z digest=sha256:a3bde7a60b1feb446ccded6182bf017a528ee9bbbea2c38efe4f9db0f381df9a

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

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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

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verified fuzzy
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source=arxiv_source observed=2026-08-07T05:24:57.483782Z digest=sha256:3ccf7e6f53e9aa6d6f807b9b4402231c3df70c15ffcf827ed043a3fb0e917699

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.487995Z digest=sha256:260ac78767cda44dce4b44eea50ce7817e33f074af5c175471a212510a4978a5

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.491688Z digest=sha256:891f06a2cc62e9c2a2e7538b92b27f36ad45c0437a56b944c9b5aaf170070cd7

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.496300Z digest=sha256:9f05949ea8392d75ed2354f031dec92d8e7449def4bb69942eacb4e52e5b11e8

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.500057Z digest=sha256:34e502ea3946ac5bfda936a3ddbcb0d41ac95ec2158e337a44364527b3be5ea1

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

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source=arxiv_source observed=2026-08-07T05:24:57.503430Z digest=sha256:1b0a9d8eb48e2afa64f91052d4f95fb5b2e6efbfe2b3218563cb61ca2d20fe20

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.506819Z digest=sha256:57c6424e45357b957be00a7fc9ef493eaba92798fd466b3d42dbcdb1164861be

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.510611Z digest=sha256:dec45e5ea26f80394cc7b6677e868eff52a23181d2ececa2a43d79c38095529f

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.514348Z digest=sha256:535d14be7cff8b6302d65ec71754e9176eb869618f96c74239d5f58c3fce1a85

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.518042Z digest=sha256:de8abb464b1d86208f7936c2021cffc0619ee6544face3a62a8bfdce7464803c

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.521920Z digest=sha256:eb5c8b340326b30d59f4dd43420267a3fe808dafc942b12b38f684daa85b65f4

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.525640Z digest=sha256:43c7130dd830b8f9eaa6a47297bffc2f8fbb11a9b17de7710224f4a5f4c0de7f

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.529219Z digest=sha256:e5b3466392deba663a1bce66a6650af42ffc94be5b370f26cc3f26508baf6690

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T05:24:57.533689Z digest=sha256:45c2d43ac0d54860b727ba8faa34304e87250726b39951e8df538cf24bb0cdf1

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:24:57.537607Z digest=sha256:157c45220fdb2e259a51c752d288d680d7af7a1b9febb13b9fb8558685ce0597

Pith citing papers

No inbound Pith citation observations are available.