Paper Citation Record · LEDGER

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.16449.

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

pith.paper-citation-record.v1
2607.16449 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:59:35.520995Z

measured 16 of 16 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

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb9591d0-f958-4b42-8608-92ee47657e98 · outbound

This paper cites RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:33.662183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4eeddcf-8087-4e31-b8b8-27826baf01bb · outbound

This paper cites PMNet: Robust Pathloss Map Prediction via Supervised Learning,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning PMNet: Robust Pathloss Map Prediction via Supervised Learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:33.708602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e756a4b5-830c-4fbc-9926-5dd4c86922d1 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:33.816808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650872f0-ba9c-4aaa-b749-46d5622a30bb · outbound

This paper cites Dataset of Pathloss and ToA Radio Maps With Localization Application.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:33.925541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4a4434c-7194-4382-87c8-a0169acea55a · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Attention U-Net: Learning Where to Look for the Pancreas

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:34.044391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd67c19a-03a0-48d2-9763-5c510d9cb989 · outbound

This paper cites Transfer Learning and Double U-Net Empowered Wave Propagation Model in Complex Indoor Environments,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Transfer Learning and Double U-Net Empowered Wave Propagation Model in Complex Indoor Environments,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:34.169010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54c957c9-a454-4311-ab31-3354ef491366 · outbound

This paper cites Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:34.299136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec9f506e-d54b-4579-9176-d16ba0667943 · outbound

This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:34.414703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae65036-227e-4c14-9312-a2fce5f3d2b0 · outbound

This paper cites Transformer based Radio Map Prediction Model for Dense Urban Environments,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Transformer based Radio Map Prediction Model for Dense Urban Environments,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:34.571378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86cd2e92-899d-48c4-bc39-1f3db11c8587 · outbound

This paper cites A Deep Learning Approach for Automatic Liver Segmentation: Attention U-Net with ASPP and CBAM Integration,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning A Deep Learning Approach for Automatic Liver Segmentation: Attention U-Net with ASPP and CBAM Integration,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:34.760250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d07e70-984d-43c5-b03d-c9b3aa4b6990 · outbound

This paper cites Appendix D,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Appendix D,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:34.957224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb970280-7310-47c7-8ca6-d37aca568ea0 · outbound

This paper cites Appendix E,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Appendix E,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:35.120070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc6134f-9f5b-4142-aca6-290187bcb32e · outbound

This paper cites Overview of the First Pathloss Radio Map Prediction Challenge,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning Overview of the First Pathloss Radio Map Prediction Challenge,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:35.279113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fbe403e-f3f3-4a68-9ef9-1b702496b857 · outbound

This paper cites REM-Net+: 3D Radio Environment Map Construction Guided by Radio Propagation Model,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning REM-Net+: 3D Radio Environment Map Construction Guided by Radio Propagation Model,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:35.359963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc30f70-3a57-4cc5-8df1-40a6e8af0c7a · outbound

This paper cites The First Pathloss Radio Map Prediction Challenge,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning The First Pathloss Radio Map Prediction Challenge,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:35.442827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe791c19-99dc-45a4-bc68-434e72ba91ce · outbound

This paper cites PMNet: Large-Scale Channel Prediction System for ICASSP 2023 First Pathloss Radio Map Prediction Challenge,.

EA-RMENet -- Path Loss Prediction in Urban Environments using Deep Learning PMNet: Large-Scale Channel Prediction System for ICASSP 2023 First Pathloss Radio Map Prediction Challenge,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T20:59:35.520995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.