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Paper Citation Record · LEDGER

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.02013.

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

pith.paper-citation-record.v1
2507.02013 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:54:16.138328Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy10
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bda6c359-5962-4165-a15b-5670562ad4ff · outbound

This paper cites Edge intelligence for autonomous driving in 6G wireless system: Design challenges and solutions,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Edge intelligence for autonomous driving in 6G wireless system: Design challenges and solutions,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:19.039082Z

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=2026-08-06T20:54:14.513515Z digest=sha256:b81ce00f154fc36ad9b616fc052666b56592730a1e29ef69b30aa3915f9d01de

Observation 1c4bb414-3941-42a9-8626-a298d9c90221 · outbound

This paper cites Semantic communications for future internet: Fundamentals, applications, and challenges,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Semantic communications for future internet: Fundamentals, applications, and challenges,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:18.800368Z

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=2026-08-06T20:54:14.589671Z digest=sha256:218e1802c86475cc3ea6ba28a061cb3426eece7ffeaab7c69c1d5478e319f28f

Observation 5342385d-f4d4-4e20-a4f3-355711ddc6fc · outbound

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

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Deep joint source- channel coding for wireless image transmission,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T20:54:14.756258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:54:14.756258Z digest=sha256:9f322d91273aa84f128d5f10e18c0898636cf4da6f78bfe345c8ffcb2c890981

Observation cbcecd6c-4db9-4c1a-9a08-d00348d34d1f · outbound

This paper cites Deep joint source-channel coding for wireless image transmission with adaptive rate control,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Deep joint source-channel coding for wireless image transmission with adaptive rate control,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:18.540350Z

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=2026-08-06T20:54:14.837264Z digest=sha256:a9fd2821907d6796c1239977da8acb6de252026bdb869709f16675b4d52299ce

Observation 55317fcd-2e38-479c-a675-a21c0ac959b0 · outbound

This paper cites Transformer-aided wireless image transmission with channel feedback,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Transformer-aided wireless image transmission with channel feedback,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:18.303403Z

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=2026-08-06T20:54:14.936471Z digest=sha256:d3de2bb99008ef937d65abf1815838c1d85488f6ff78a9cc05d3a67b8cb7f4de

Observation 25fb45c1-b35f-4fa0-ae61-ad24f68c3aaf · outbound

This paper cites Towards Intelligent Communications: Large Model Empowered Semantic Communications.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Towards Intelligent Communications: Large Model Empowered Semantic Communications

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:54:16.585676Z

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=2026-08-06T20:54:15.048103Z digest=sha256:beec531b9af6aa971af06402fda139855d44757daa965a06d40d59848801edeb

Observation 862f321b-62fd-4b12-8a90-f023f0921c50 · outbound

This paper cites Large AI Model Empowered Multimodal Semantic Communications.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Large AI Model Empowered Multimodal Semantic Communications

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:54:16.368862Z

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=2026-08-06T20:54:15.148740Z digest=sha256:2a37c1d388cfc0e910e0f703b269553846156d9222055a7726bb83a8d4c02d35

Observation accf66c1-914b-4cfe-9f48-fe3c2fe005ba · outbound

This paper cites Generative AI-aided joint training-free secure semantic communications via multi-modal prompts,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Generative AI-aided joint training-free secure semantic communications via multi-modal prompts,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:18.075319Z

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=2026-08-06T20:54:15.261952Z digest=sha256:42ae0d3095a920162cfe79357f52d70edd57a334ef3b15f8af10802ede2e8573

Observation a8a616b8-2258-4d18-af2d-664302b241dd · outbound

This paper cites Generative Semantic Communication: Diffusion Models Beyond Bit Recovery.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Generative Semantic Communication: Diffusion Models Beyond Bit Recovery

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:54:15.380087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:54:15.380087Z digest=sha256:9080530116c7ebc389d67a8db85c9448c16e0d794cec3c81b936c22591b54106

Observation 0dbe4047-2049-4148-bc9c-f2a6e3349725 · outbound

This paper cites Unleashing the power of edge- cloud generative AI in mobile networks: A survey of AIGC services,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Unleashing the power of edge- cloud generative AI in mobile networks: A survey of AIGC services,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:17.838252Z

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=2026-08-06T20:54:15.520421Z digest=sha256:54470f3cae5ef7ff011dd6218fccb98e9ad3ebed3247c8397800f367cac88389

Observation 2f1c28bc-06f7-4ce5-8b89-0235ad830416 · outbound

This paper cites Deep learning-based channel estimation,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Deep learning-based channel estimation,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:17.617854Z

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=2026-08-06T20:54:15.656301Z digest=sha256:20466618790e16ed523165e04985f01e7bf273ea510b5d6d159bbbc479023ff1

Observation ea425e78-6842-4cb6-9f68-1d307ce1e2db · outbound

This paper cites LSTM-GRU model-based chan- nel prediction for one-bit massive MIMO system,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions LSTM-GRU model-based chan- nel prediction for one-bit massive MIMO system,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:17.370016Z

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=2026-08-06T20:54:15.782619Z digest=sha256:11a2ba7555de2a2ea62efec40211f3ef2969bc4058307dfb865178522c2f5801

Observation 1d2af3da-b36c-499b-a3fb-da2a79ef93ec · outbound

This paper cites Transformer-based channel prediction for rate-splitting multiple access- enabled vehicle-to-everything communication,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Transformer-based channel prediction for rate-splitting multiple access- enabled vehicle-to-everything communication,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:17.096651Z

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=2026-08-06T20:54:15.891611Z digest=sha256:97e81e9ea22f1a0534e6f481356b56b16434aa3f9f0f38d52958b38416fa198d

Observation d5a00259-da26-4832-b1ce-62fc5c072963 · outbound

This paper cites Large Generative Model Assisted 3D Semantic Communication.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Large Generative Model Assisted 3D Semantic Communication

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:54:16.044523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:54:16.044523Z digest=sha256:5801077778b30e75f4eb796defb79038b2697a98530f6e1da139780d59070fc4

Observation 788f9aa1-8453-4cc8-bf6b-7cf0befc3aff · outbound

This paper cites Lite-mono: A lightweight cnn and transformer architecture for self-supervised monoc- ular depth estimation,.

AI-Empowered Channel Generation for IoV Semantic Communications in Dynamic Conditions Lite-mono: A lightweight cnn and transformer architecture for self-supervised monoc- ular depth estimation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:54:16.855163Z

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=2026-08-06T20:54:16.138328Z digest=sha256:b1799dafa597855f2a7c5c91650fe200a1f0180f07041198179bbe83c507d974

Pith citing papers

No inbound Pith citation observations are available.