Paper Citation Record · LEDGER

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.20937.

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

pith.paper-citation-record.v1
2412.20937 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:10:38.873238Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

31 of 31 outbound references displayed

verified exact0
verified fuzzy18
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fcb84a8-37bd-4e0b-8953-c65681b73073 · outbound

This paper cites A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks A vision of 6g wireless systems: Applications, trends, technologies, and open research problems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.727698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbc229f-236d-4744-86db-9a741371a0e7 · outbound

This paper cites Distributed learning in wireless networks: Recent progress and future challenges,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Distributed learning in wireless networks: Recent progress and future challenges,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.733171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16b9a10-78c1-4f31-91a6-0fbf862ddca6 · outbound

This paper cites Deep learning enabled semantic communication systems,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Deep learning enabled semantic communication systems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.738593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef89bd90-78ae-4acc-bb9d-b126a51edcb7 · outbound

This paper cites Task-oriented multi- user semantic communications,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Task-oriented multi- user semantic communications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.287705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ffb336f-ec34-4fba-9683-8ea3e850dfa8 · outbound

This paper cites Performance optimization for semantic communications: An attention- based reinforcement learning approach,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Performance optimization for semantic communications: An attention- based reinforcement learning approach,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.748671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0dcf0bf-63fa-4e11-876b-4b90bd9f25f1 · outbound

This paper cites Semantic communication systems for speech transmission,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Semantic communication systems for speech transmission,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.753498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d07638-595e-4c2b-8573-cfaec41b9366 · outbound

This paper cites Deep joint source- channel coding for wireless image transmission,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Deep joint source- channel coding for wireless image transmission,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.759002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f22b0b-077f-45a0-a02a-b47d2b25b736 · outbound

This paper cites Deepwive: Deep-learning-aided wireless video transmission,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Deepwive: Deep-learning-aided wireless video transmission,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.763349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4124f7d6-4de0-46b1-8ec2-106c11eb7898 · outbound

This paper cites Cddm: Channel denoising diffusion models for wireless communications,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Cddm: Channel denoising diffusion models for wireless communications,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.231497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c76d8cd-2b79-468a-bf7e-17b38487268f · outbound

This paper cites DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication Systems.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.773102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d44cc8-6759-474b-8482-2c38aa038282 · outbound

This paper cites A hybrid wireless image transmission scheme with diffusion,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks A hybrid wireless image transmission scheme with diffusion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.216373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6be7d11-0f17-45a2-bd49-1c1f45c9f30c · outbound

This paper cites Generative model based highly efficient semantic communication approach for im- age transmission,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Generative model based highly efficient semantic communication approach for im- age transmission,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.200166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation faf22950-bac1-47ec-8bd6-a1895b0ec263 · outbound

This paper cites Generative joint source-channel coding for semantic image transmission,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Generative joint source-channel coding for semantic image transmission,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.184485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31202842-b2ab-4277-a8f4-37c21dcd8b62 · outbound

This paper cites Resource allocation for text semantic communications,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Resource allocation for text semantic communications,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.792703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 279a7fe5-ccf5-42e6-8095-a6db6817670b · outbound

This paper cites Secure semantic communications: Fundamentals and challenges,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Secure semantic communications: Fundamentals and challenges,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.159020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f8ae7c9-da1d-46df-8e3a-85075a2e11f8 · outbound

This paper cites Edge learning for b5g networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Edge learning for b5g networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.144144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation addb4daa-982d-48a3-b03f-ba8a68becdd3 · outbound

This paper cites Generative ai-driven semantic communication networks: Architecture, technologies and applications,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Generative ai-driven semantic communication networks: Architecture, technologies and applications,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.128179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 32c2d9ed-b6a1-4638-be0d-ecd09d2b1919 · outbound

This paper cites Energy efficient semantic communication over wireless networks with rate splitting,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Energy efficient semantic communication over wireless networks with rate splitting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.113111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 96a11f0a-d52a-4689-9e8d-469122672508 · outbound

This paper cites Model division multiple access for semantic communications,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Model division multiple access for semantic communications,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.816591Z

Source-reported events for the cited work

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Observation 91082bb1-ce01-4ec8-bbe9-c5096b57fe00 · outbound

This paper cites Orthogonal model division multiple access,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Orthogonal model division multiple access,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.087591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3e0aedfe-ce53-4dc1-a4be-d08ec585343c · outbound

This paper cites Non-orthogonal multiple access enhanced multi-user semantic communication,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Non-orthogonal multiple access enhanced multi-user semantic communication,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.072171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f714d4c-4db9-450d-800a-4f6f2555e75d · outbound

This paper cites Squeeze-and-excitation networks,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Squeeze-and-excitation networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.831050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02586d5-5c00-4add-9b81-c2e4e018bbf7 · outbound

This paper cites Efficient multi-scale attention module with cross-spatial learning,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Efficient multi-scale attention module with cross-spatial learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.047175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 137e82da-7267-4a33-aae9-45a626b809f8 · outbound

This paper cites Cross-attention transformer for video interpolation,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Cross-attention transformer for video interpolation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.030733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 985fa914-843a-4d79-872e-cc57835773e1 · outbound

This paper cites Weaver, The mathematical theory of communication.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Weaver, The mathematical theory of communication

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:39.014209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b7bcd778-c3dc-4631-8294-69ac9b6fd160 · outbound

This paper cites Machiavelli and the gale-shapley al- gorithm,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Machiavelli and the gale-shapley al- gorithm,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:38.997973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79c1b3da-52dd-4c0c-8c1f-80376f56ab90 · outbound

This paper cites Learning to learn by gradient descent by gradient descent,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Learning to learn by gradient descent by gradient descent,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.854437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce80950f-dfd4-4377-b775-2f6eb25734c9 · outbound

This paper cites Channel attention is all you need for video frame interpolation,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Channel attention is all you need for video frame interpolation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:38.971622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2ad5cf1c-eda4-4bde-8e74-23e14472754c · outbound

This paper cites Impact of user pairing on 5g nonorthog- onal multiple-access downlink transmissions,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Impact of user pairing on 5g nonorthog- onal multiple-access downlink transmissions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:38.955355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d030726-f74a-40fe-8495-1179fc1bc95e · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks Multiscale structural similarity for image quality assessment,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:10:38.938887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d189e43-d1a7-4fe0-be45-93c1527b3f10 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks The unreasonable effectiveness of deep features as a perceptual metric,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T23:10:38.873238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.