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Paper Citation Record · LEDGER

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2507.01333.

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

pith.paper-citation-record.v1
2507.01333 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:59:29.383336Z

measured 32 of 32 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T00:56:40.518107Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T01:06:23.718620Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37e9efd7-fdb9-434b-acbf-b5641c8cbfca · outbound

This paper cites Semantic communications for future internet: Fundamen- tals, applications, and challenges,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Semantic communications for future internet: Fundamen- tals, applications, and challenges,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:33.814787Z

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=2026-08-06T20:59:27.422712Z digest=sha256:44d01a7fc3aabd710354bacab2dd18d9a06fdd428f8d8a873ef5e8f6b663603d

Observation 88ec22e6-6296-4470-8188-90814d69c23e · outbound

This paper cites Deep learning enabled semantic communication systems,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Deep learning enabled semantic communication systems,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:33.640604Z

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=2026-08-06T20:59:27.504941Z digest=sha256:eecab1f24df9aab6a7f8135bc4745dfebe945b4b0e743d544243f0f5f00c572f

Observation 27ca53a9-225a-401b-9aed-9c3849fd11fd · outbound

This paper cites Rethinking generative semantic communication for multi- user systems with large language models,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Rethinking generative semantic communication for multi- user systems with large language models,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:33.406794Z

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=2026-08-06T20:59:27.583391Z digest=sha256:b9c079940cc16211da9e015177a698a25f0628d4cc23cca53f649f2084563dce

Observation c82dcf51-fc6e-4777-b044-9aeb17ebd328 · outbound

This paper cites Scsc: A novel standards-compatible semantic communica- tion framework for image transmission,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Scsc: A novel standards-compatible semantic communica- tion framework for image transmission,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:33.143966Z

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=2026-08-06T20:59:27.671333Z digest=sha256:9a1d2f589d305be1efaf8a4ec175f8e740879e0f2d7628776363b7a0a01723da

Observation a99a5aeb-1688-4e15-9c0e-222be87140c6 · outbound

This paper cites Generative ai for secure physical layer communications: A survey,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Generative ai for secure physical layer communications: A survey,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:32.978663Z

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=2026-08-06T20:59:27.734740Z digest=sha256:cabb37d5c2955159259c201c59d3df451cf837f92c964784f504c02f66602a4d

Observation 28e84e50-1d2e-4715-a0a0-a1a2283a120f · outbound

This paper cites Image segmentation semantic communication over internet of vehicles,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Image segmentation semantic communication over internet of vehicles,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:32.746200Z

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=2026-08-06T20:59:27.813149Z digest=sha256:4dd702d2f393ccea1110a9cb73d3203e701d128637772515dd3820fa58be9a7b

Observation ff7af715-f7af-4309-972a-3612cbae626f · outbound

This paper cites Semantic communication systems for speech transmission,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Semantic communication systems for speech transmission,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:32.478418Z

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=2026-08-06T20:59:27.870080Z digest=sha256:9f9b3b7f48d21419c81cef08ef38a8fa9aa503b72081604394c47a94bd5e2d53

Observation 19df8113-e3a2-4727-868f-c0cb5121fe44 · outbound

This paper cites Evolving semantic communication with generative modelling,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Evolving semantic communication with generative modelling,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:32.293733Z

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=2026-08-06T20:59:27.987642Z digest=sha256:b68206fbc17c60877f9329ee257bf00443e1ccd4c719e7863e333c5a98863d7c

Observation aec53e6b-6dac-4f8a-a2f3-f1ecbce480d4 · outbound

This paper cites Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:59:29.585035Z

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=2026-08-06T20:59:28.070897Z digest=sha256:120d0af6caa334a4d4d833f22a0bb8e3a483b67102797a52ff39107087ce8bd3

Observation 0ef18cae-ad92-401e-acaa-c20743be74fe · outbound

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

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Energy efficient semantic communication over wireless networks with rate splitting,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:32.062591Z

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=2026-08-06T20:59:28.140448Z digest=sha256:c19139fdd2ca280e9824b936cc5786ea77eddf803a265cff9a70690e6c838234

Observation 12128db8-0d6f-4d24-a877-e1910fea20f8 · outbound

This paper cites Scan: Semantic communication with adaptive channel feedback,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Scan: Semantic communication with adaptive channel feedback,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:31.827744Z

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=2026-08-06T20:59:28.207336Z digest=sha256:0aad0989f59c587ce3d0becfd43058d6066ff35d2d214f1e23d2684097f11d60

Observation c926f50e-22f8-4149-9fa3-7c23d98dad59 · outbound

This paper cites Deep learning-empowered semantic communication systems with a shared knowledge base,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Deep learning-empowered semantic communication systems with a shared knowledge base,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:31.645009Z

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=2026-08-06T20:59:28.282958Z digest=sha256:1e1b40c4ed0ca1d58a24dee4140e42717fa59db5a00ae421b6fffd0cf60e5eff

Observation 6b47f61f-246e-4cc2-bc33-3389ca05e59b · outbound

This paper cites Bert: Pre- training of deep bidirectional transformers for language understanding,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Bert: Pre- training of deep bidirectional transformers for language understanding,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:31.405535Z

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=2026-08-06T20:59:28.373302Z digest=sha256:e220699f1218f7adf74b3e1a5e776bf35eb9cfa04f90baeaa575ea38dbe39ec9

Observation 0c36439c-e0d8-414b-b553-b4ffcfe8280d · outbound

This paper cites GPT-4 Technical Report.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access GPT-4 Technical Report

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:28.435282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:28.435282Z digest=sha256:f06fc922787da70193dd01e5f2b7155e3fbcb2b8d12de998030d39c0c47eb3a4

Observation 951b4916-4ede-407c-a12a-eabcc14a2ffd · outbound

This paper cites Rate-splitting multiple access: Fundamentals, survey, and future research trends,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Rate-splitting multiple access: Fundamentals, survey, and future research trends,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:31.312220Z

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=2026-08-06T20:59:28.487906Z digest=sha256:751cf46e3f4f3600bddb1557bb7318304b0c0c5c6cc48f9882e7ed7384491f5e

Observation 5f1a2409-6d6d-4b43-96c1-15f6b08abc61 · outbound

This paper cites Generative artificial intelligence-enhanced multimodal semantic communication in internet of vehicles: System design and methodologies,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Generative artificial intelligence-enhanced multimodal semantic communication in internet of vehicles: System design and methodologies,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:31.222895Z

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=2026-08-06T20:59:28.548043Z digest=sha256:a52991acd97ead99e6fad2d432c2996b4804c5de7dbcf2a57c1b610924af96fa

Observation 64abdfe5-a877-4a1f-b986-4f3538860916 · outbound

This paper cites Select2col: Leveraging spatial-temporal importance of semantic information for efficient collaborative perception,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Select2col: Leveraging spatial-temporal importance of semantic information for efficient collaborative perception,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:31.006377Z

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=2026-08-06T20:59:28.594226Z digest=sha256:712c24ad56ed4b191368f42fb3d8993f07ca771da934cb8643aab72add049703

Observation 7d4db31d-2f16-47e6-8c48-9d17c54260f8 · outbound

This paper cites Resource allocation and common message selection for task-oriented semantic information transmission with rsma,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Resource allocation and common message selection for task-oriented semantic information transmission with rsma,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:30.833313Z

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=2026-08-06T20:59:28.658867Z digest=sha256:643eb66e98d1a27857213ba1f7c33652ef7ef9a9b0a8f215af232f32c55d1ac2

Observation ab4fb239-a72a-44f7-b963-f551435240e8 · outbound

This paper cites A Survey of Large Language Models.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access A Survey of Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:28.737043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:28.737043Z digest=sha256:57448d6ec752da3e61fd034360f890ee5745b27073caad1331e345a984315015

Observation 8e90a833-3b88-48bd-a37a-a51bbb451be7 · outbound

This paper cites Unified perceptual pars- ing for scene understanding,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Unified perceptual pars- ing for scene understanding,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:30.675831Z

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=2026-08-06T20:59:28.776402Z digest=sha256:4c7facc8f96f9edd614e44fcce31a9b71b9c3b22d1137a6e71f4f2bed3cb55c7

Observation 09e8909c-4dd3-4ee0-84aa-556773844bf2 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:30.545150Z

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=2026-08-06T20:59:28.849725Z digest=sha256:8823fd704776a7e52c62dfce0433dc3dbedaa6d1923bba8cfc08fd0bb9e846b8

Observation dd561cf4-49e1-469c-b347-8f1a50920f2c · outbound

This paper cites Prompting hard or hardly prompting: Prompt inversion for text-to-image diffusion models,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Prompting hard or hardly prompting: Prompt inversion for text-to-image diffusion models,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:30.458033Z

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=2026-08-06T20:59:28.909798Z digest=sha256:944fa7bc7509b47656d2d20bc70c03df9012c98ee01d78629596b56797f22b34

Observation 58d26d81-8a88-41bd-a2cf-409f0a141730 · outbound

This paper cites Hard prompts made easy: Gradient-based discrete opti- mization for prompt tuning and discovery,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Hard prompts made easy: Gradient-based discrete opti- mization for prompt tuning and discovery,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:30.326545Z

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=2026-08-06T20:59:28.972019Z digest=sha256:f0975ceeb2b5b464faa7fa2fad71040b7fc899a546cb2facc00bcb34f3e62594

Observation d9d60b34-cd37-47b7-aeea-9e56f22e32c6 · outbound

This paper cites Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:29.035012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:29.035012Z digest=sha256:ab56d4c9ad638638c97ca45d7416ade95973393ab37d364549f254505e5f9fde

Observation bef02851-8f60-43dd-87a5-bca02c0312fd · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Instaflow: One step is enough for high-quality diffusion- based text-to-image generation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:30.213220Z

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=2026-08-06T20:59:29.081252Z digest=sha256:252e053060d49406b4079b3efb2bb1df59b36d17865d0339f78448c107a9660b

Observation 451b5b34-4838-4ad9-b8d7-c432891087b8 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Learning transferable visual models from natural language supervision,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:30.126195Z

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=2026-08-06T20:59:29.131451Z digest=sha256:c7b7bb67a4e212a82c6785545501a8e632629e060d4fd8577fdd6c6c24c77160

Observation 7bc101ec-dec0-4ef9-8782-018162baba35 · outbound

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

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access The unreasonable effectiveness of deep features as a perceptual metric,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:29.932464Z

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=2026-08-06T20:59:29.217074Z digest=sha256:c96224bb6a34167468e99db2ef33937d644d074e15cdc700280dba44f8a376b9

Observation e45a4a82-ac38-4179-827e-6ccba4f94fee · outbound

This paper cites Image quality metrics: PSNR vs. SSIM,.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Image quality metrics: PSNR vs. SSIM,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:29.816582Z

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=2026-08-06T20:59:29.264673Z digest=sha256:c002902f56172fa601b0f66dd50e5fc75e5ce7d85804935aa17e126843089fa6

Observation 20f43841-b20a-4315-8e3a-428263359f09 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Proximal Policy Optimization Algorithms

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:29.323724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:29.323724Z digest=sha256:755380e52da0ea4c9779f31564da7fd478f905001597e9b068f5ef7373de8138

Observation 043c4db8-6165-4607-8424-33aeb2f1eb46 · outbound

This paper cites Rain removal in traffic surveillance: Does it matter?.

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Rain removal in traffic surveillance: Does it matter?

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:29.690032Z

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=2026-08-06T20:59:29.383336Z digest=sha256:3975430315e05f08e855a32c63a21533f32dc58f57e437fc5d605a894873f5f2

Pith citing papers

Observation a64d998b-90c7-4301-a413-ca95d54e9499 · inbound

Channel-Aware Preemptive Scheduling for Semantic Communication with Truncated Diffusion and Path Compensation cites this paper.

Channel-Aware Preemptive Scheduling for Semantic Communication with Truncated Diffusion and Path Compensation Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:58.093536Z

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=2026-05-10T16:22:36.886818Z digest=sha256:cfea6c759ad0fe982d4e917d770613b90245bbbb925645539259c4f6726a0f0d

Observation f63a7cc1-d819-472a-8918-fadf50fbbe07 · inbound

Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways cites this paper.

Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:23.720455Z

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=2026-07-02T00:56:40.518107Z digest=sha256:9fd7525c2839d5333cac44ab7d486ba6827e0b3d5a898aca5d87f45579ab9ec4