Paper Citation Record · LEDGER

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.19617.

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

pith.paper-citation-record.v1
2607.19617 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:16:00.983728Z

measured 14 of 14 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

14 of 14 outbound references displayed

verified exact1
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10152f9d-b414-4df7-9634-6d74bcc90e39 · outbound

This paper cites Mingyuan Fan, Shenqi Lai, Junshi Huang, Xiaoming Wei, Zhenhua Chai, Junfeng Luo, and Xiaolin Wei.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing Mingyuan Fan, Shenqi Lai, Junshi Huang, Xiaoming Wei, Zhenhua Chai, Junfeng Luo, and Xiaolin Wei

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T12:15:59.633568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf4d768-9711-427b-86c3-447a162cdc4b · outbound

This paper cites doi:10.1016/j.isprsjprs.2021.06.006.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing doi:10.1016/j.isprsjprs.2021.06.006

Reference 6

Resolution: verified exact; doi, observed 2026-08-01T12:18:37.858178Z

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.

Observation 9086c580-56ae-4a49-b460-8efc298f5386 · outbound

This paper cites Nesti et al.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing Nesti et al

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:00.153879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be141f33-65ae-45fa-bc60-6cb68973e423 · outbound

This paper cites Depthwise Separable Convolutions with Deep Residual Convolutions.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing Depthwise Separable Convolutions with Deep Residual Convolutions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:00.365839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db05cb88-14f7-4a23-8c97-352dcb9dc9bf · outbound

This paper cites Li et al.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing Li et al

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:00.494699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84cefaae-46b6-4cb1-a4cd-781fe3a06471 · outbound

This paper cites An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:00.572949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a45c38-a36c-4c63-9133-eb72ae21a2f9 · outbound

This paper cites Gu et al.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing Gu et al

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:00.743274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a75c75e-5291-4a06-9bd9-ae226188350e · outbound

This paper cites doi:10.1109/TNNLS.2022.3176493.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing doi:10.1109/TNNLS.2022.3176493

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:00.940541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b6a5a79-c765-4543-a2f5-fb6aa9a9ed9b · outbound

This paper cites Adversarial Patch.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing Adversarial Patch

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:00.983728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d99781-c583-47ce-a3f5-7331db3f1ba2 · outbound

This paper cites DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T12:16:00.882806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23fa012d-51c3-480d-8606-ac7b60f9ab6a · outbound

This paper cites Rethinking BiSeNet For Real-time Semantic Segmentation.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing Rethinking BiSeNet For Real-time Semantic Segmentation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T12:15:59.728777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd84019b-9489-49aa-a9f1-24190fd6386d · outbound

This paper cites doi:10.1109/TITS.2021.3066401.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing doi:10.1109/TITS.2021.3066401

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T12:15:59.823408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ddc26ae-6b66-4eb7-84bf-42d7d5b62402 · outbound

This paper cites doi:10.1016/j.eswa.2022.118537.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing doi:10.1016/j.eswa.2022.118537

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T12:15:59.504940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9fc5bc0-02be-4508-b18d-4ed56ea2e8b7 · outbound

This paper cites A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges.

EGRNet: A Lightweight Semantic Segmentation Network with Edge-Gated Refinement and Adversarial Sensing A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T12:15:59.419529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.