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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:27.422712Z digest=sha256:9625a6511971ee5b18d04bb7b1827347b2b73311acdac263b8f61b0735d17b94

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:27.504941Z digest=sha256:cbeeb72e76aa4c5430261a2e4871c5c3a8e14a9cd7fac9f8fad8d1ee10f2dfb7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:27.583391Z digest=sha256:8644f99509308dd3a2bdca76915469aec3b4da04dce8f03f5b42dc9a354c32b3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:27.671333Z digest=sha256:ad7fdae9ea5bdcbcbc932ca850b26fa9adbaca7446fd0c34d738923a2bfe7ed1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:27.734740Z digest=sha256:da7797ff5035773dd4f618b42165c37d528a643aa7ccdaf9fc94930a9839209b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:27.813149Z digest=sha256:f9bddf76ddbf387c11740505beca72d7e93358ab7b238dff7a1f931801e29dfc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:27.870080Z digest=sha256:c3b70399241e91c5da6bec4adaf20410ecdc2ce19e211e97cef946328af99783

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:27.987642Z digest=sha256:cb41283b48f0b529a65b6e2c6a91ee99bab8c1ef634fe00c3ee5df87a5e2b9b8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.070897Z digest=sha256:58483534ac5611ffe7fd80ecbb87f89f95148ce36368e27698a7041f2c297935

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.140448Z digest=sha256:75f811fdb245f822a671dd19c4378e73bca2387433150ea128b817cb092c64c8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.207336Z digest=sha256:1ac9a66d5d111d2bc2437f40d9e03094f8ffd12500f498b446f930c05bd660f2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.282958Z digest=sha256:048465a398ea5182781b7c7064d98c7641b7467b1d5698a823b2108db25af11f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.373302Z digest=sha256:b2f13705f3f08d7c2ae6533f90128f50156d95565084d6fa777b7f0cab955726

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=sha256:4a1cf5550243976f9415f293871323ec4eed6f1bdea4f5f8d52692a8f44a7491

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.487906Z digest=sha256:7a9e81116bcc190e3d644fb5ba3c40eedd0533900bbf73c5727ea07522a4aba3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.548043Z digest=sha256:611cebe69b20400ce4f0e544d3718614094301d3ba3c5ae44d1ea454e60cbbcf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.594226Z digest=sha256:a6ed355b838fc40b9de619ec1b967dc97b2f937ec45c43ba0852f8c67fe04695

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.658867Z digest=sha256:f010daef1040579c2a8c30f95cdc46c5ea239ffcbd3c123ba4595cca60ded574

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:f48bd8d59da8ae143bf7f7f2c2c0313b489af802cca30849ef618c87d7369f4f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.776402Z digest=sha256:90655299fb3a13ade6434c1db7c51936f2458e6022ec3a985bdd1ee36c527e9b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.849725Z digest=sha256:7042cd73339ef3e5ff060015a1cdf0250ea2e250a45ce47bb594c7da869c7e5e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.909798Z digest=sha256:4f9d5f72a1417350b6400e41d897e0332980d29c8b849c069244cf42f7613e79

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:28.972019Z digest=sha256:4bbf00925c3c0a807a4c5e96e23d6a1ee8c5196f4529524395b17cfd75f243fd

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:cd6ab57e5ff1e44ea25b32bfad2eae3ef5ea2727a9cc72e35a9de925c4bd41ac

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:29.081252Z digest=sha256:5916b683d0eded759fb8126765914351874879f1375a7618d9647512650b43df

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:29.131451Z digest=sha256:80142a52d0e26fe87b88d8f9b2756ceb270cbf7483a9b3410511691829352890

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:29.217074Z digest=sha256:ce5347ea6f733a9db35e9cfe1a3ef3024ffbdb263deb26e31656b44a84cb9e50

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:29.264673Z digest=sha256:8aad1f141099c4e053ea272b6517b5cf5a8612ad17d6dbaa56c040dad99eb103

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=sha256:9514455556387a122a2bcc4fa7e3eda466c0080cbe01876682d88951187fc05a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T20:59:29.383336Z digest=sha256:f69bc22882b434734c57183024da743758f0c40fce26061dab18b41305ba3fc1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:22:36.886818Z digest=sha256:3515f33d7bae9817d4cb957076637b9e828338d9a752ba8aec721f595099fea0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T00:56:40.518107Z digest=sha256:d3c729708e6ff35a84500799d92f4a0dabfc233aae82bd5092ae46748a34571b