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Paper Citation Record · LEDGER

On Splitting Lightweight Semantic Image Segmentation for Wireless Communications

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:45.532474Z digest=sha256:6c8fed13f0eda824b357574c2f57da8079e8dcb97617255b63e1d2258b488cb1

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:45.722932Z digest=sha256:b8b2b5353bf2f00aebfe5e71edfa76cd2880190e5fca9b2ff3d7ef8a49442359

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:45.779118Z digest=sha256:7c64ad30109bd0d16a91c8ff1b37788b5964ea37d18e61ef02d03ac309f1bc7a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:45.852864Z digest=sha256:6879acbc11091c848dbef91ea7abdc3c7e8d07f04df90e931ec90fbe0e08bd89

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:46.019679Z digest=sha256:e12ef12544427947fd85406af41186324a598bfda567d2b6115aff210e2186de

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.

source=pdf_text observed=2026-08-06T17:35:46.125505Z digest=sha256:a41e620267371a61b7b13b02a25cd7b0b32440f0476ff514af80eb74a0de3f17

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.

source=pdf_text observed=2026-08-06T17:35:46.210554Z digest=sha256:7238869300d9c0e23dc3ed64b995f33ff6d83c5770956c5a73c9cbd80d356d7f

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.

source=pdf_text observed=2026-08-06T17:35:46.314950Z digest=sha256:b9ce7cdd37f3735ef0376b6983a0521893ee37edf53d44c8397b203f25e5f7e9

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.

source=pdf_text observed=2026-08-06T17:35:46.398676Z digest=sha256:44f0e68cc9d73c6c68b9d521d2ccccdfa7b15cca63b12e7bc62728e81237d014

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:46.497616Z digest=sha256:4b7cf8d78e5391839a0d0375fabd6a11cf2139275f6ab1d8417b372da1bb1461

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:46.736770Z digest=sha256:0457101ac9f4af02075540a18b9f27e893b671eab72ee8154188a2a42e9c2dec

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:46.893036Z digest=sha256:7a3af46902a2d64855c8cf49a37280c89b1462f8d5da5da268e4f24d0fd6cc0a

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.

source=pdf_text observed=2026-08-06T17:35:47.058221Z digest=sha256:bdf10a80c756e8f6cb166cef5f6487c4e8048d4303c1010dc3d8af7b4feb8540

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:47.278484Z digest=sha256:46180c8abc644a46a82d3a572ef96f2ff541f807b9ec9687581caa092e252cc6

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.

source=pdf_text observed=2026-08-06T17:35:47.427305Z digest=sha256:3d76f60269804c9b8a36802bb85f10b3cc847fc8eeccfe3f63ea3b8d3255deaa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:35:47.433763Z digest=sha256:207fe741231b1c064e8208fe43dece73a21ce15e4dc859d6a27d294ad1b15bdc

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.

source=pdf_text observed=2026-08-06T17:35:47.438296Z digest=sha256:17bdd2e2a7bf72709505039eedc0b7e0a4807de26c16426f6574cafd1c327e66

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.

source=pdf_text observed=2026-08-06T17:35:47.467762Z digest=sha256:eac4794bd17a1f87eaa8f10682ec50d79282ed570be1b8151ae38973f34f4bef

Pith citing papers

No inbound Pith citation observations are available.