Paper Citation Record · LEDGER

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications

As of 8 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.14199.

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

pith.paper-citation-record.v1
2507.14199 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:35:47.467762Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

20 of 20 outbound references displayed

verified exact1
verified fuzzy10
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de6351a4-58a4-4330-93ba-541699863deb · outbound

This paper cites Ericsson mobility report 2024,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Ericsson mobility report 2024,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.186121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bf93dac8-6f36-4105-b6ec-890af0ef03c9 · outbound

This paper cites Recommendation itu-r m.2160-0: Framework and overall objectives of the future development of imt for 2030 and beyond,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Recommendation itu-r m.2160-0: Framework and overall objectives of the future development of imt for 2030 and beyond,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.166880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a6e9683a-db1a-45da-a013-93eff1dd88c4 · outbound

This paper cites Goldsmith, Wireless Communications.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Goldsmith, Wireless Communications

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T17:35:47.602019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bfd4efc6-610d-45f7-b575-40707d7a3b95 · outbound

This paper cites A survey on edge computing systems and tools,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications A survey on edge computing systems and tools,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.149258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7bceb047-8a27-4fb7-a2cb-721aa5c429de · outbound

This paper cites Live uhd/4k video transmission over 5g network,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Live uhd/4k video transmission over 5g network,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.131869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6c2d645-b899-4b54-b48a-263a59fdf1a5 · outbound

This paper cites Vr is on the edge: How to deliver 360° videos in mobile networks.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Vr is on the edge: How to deliver 360° videos in mobile networks

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T17:35:47.964335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d39963f0-d583-4c92-a870-beeee2c1da05 · outbound

This paper cites Digital wireless semantic communication enabled by the discrete se- mantic knowledge base and updating,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Digital wireless semantic communication enabled by the discrete se- mantic knowledge base and updating,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.114283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 75f65a92-4e5c-4058-8087-8c231ea1a655 · outbound

This paper cites Semantic communications: Overview, open issues, and future research directions,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Semantic communications: Overview, open issues, and future research directions,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:46.125505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc85564b-16ac-4178-b3c0-12dde0847158 · outbound

This paper cites Semantic Communications: Principles and Challenges.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Semantic Communications: Principles and Challenges

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:46.210554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee23f6e9-be5a-4426-95cc-5b106d85d334 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Fully convolutional networks for semantic segmentation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:46.314950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498dfb1d-486a-49e8-ab46-b4098d702274 · outbound

This paper cites PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:46.398676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e7ffee-12ca-4e55-96a8-e2335ec30a94 · outbound

This paper cites Lightweight context-aware network using partial-channel transformation for real-time semantic segmentation,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Lightweight context-aware network using partial-channel transformation for real-time semantic segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.068979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f54080c2-931d-4e1f-a6a4-4973adc02a5c · outbound

This paper cites Automatic and flexible transmission of semantic map images using polar codes for end-to-end semantic-based communication systems,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Automatic and flexible transmission of semantic map images using polar codes for end-to-end semantic-based communication systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.048567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 304a56b5-a5c6-4987-9c7a-7befac7ae134 · outbound

This paper cites Wireless end-to-end image transmission system using semantic communications,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Wireless end-to-end image transmission system using semantic communications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.029376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fcc03bef-b1a9-4174-8160-232819870109 · outbound

This paper cites Pyramid Scene Parsing Network.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Pyramid Scene Parsing Network

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:47.058221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc9828b-6b76-4658-967d-0099a2b3bf8f · outbound

This paper cites Will 6g be semantic communications? opportunities and challenges from task oriented and secure communications to integrated sensing,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Will 6g be semantic communications? opportunities and challenges from task oriented and secure communications to integrated sensing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:48.010394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd74bde3-77cc-420b-ac4b-d0488497b660 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:47.427305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e29eb5e-b3fd-46a6-8505-ddce3a3aa1cd · outbound

This paper cites T- yolo: Tiny vehicle detection based on yolo and multi-scale convolutional neural networks,.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications T- yolo: Tiny vehicle detection based on yolo and multi-scale convolutional neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:35:47.989848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1c9830de-2e11-4e94-bf48-00e0f08b6a9c · outbound

This paper cites The Cityscapes Dataset for Semantic Urban Scene Understanding.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications The Cityscapes Dataset for Semantic Urban Scene Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:47.438296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 495c586e-ed74-42a3-bc30-4ff49c382425 · outbound

This paper cites Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression.

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:47.467762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.