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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:27.422712Z digest=sha256:ba3ef8534db566c8b8ec6918f95142cddb9df73bebf9d85b50fa35c9baa5b68f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:27.504941Z digest=sha256:6ad8538b6c6aafa758f06c1162ac464315563bb283b67508bb68997c02f69e9b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:27.583391Z digest=sha256:fdd18dae76e347ed8570c1599d22bd1942d2e4f4adb8d4ec408b6138280019e3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:27.671333Z digest=sha256:b3840ac1b11020fd2067b4c97e6d9758282219d6b0e6c9185deea02f9e4813a5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:27.734740Z digest=sha256:271c5459ef6652e2648837c0a5e56e812160b0add1ce7dbe1ff5bc6c6f103ac0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:27.813149Z digest=sha256:45ec78870313838ff9f58e0773cd8e5f3cd8e59d16f8f41c234340878a43ca61

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:27.870080Z digest=sha256:5f64dd9ac20f2715c1023f1b89666feae0c83d7b21680c8732091ef83785f250

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:27.987642Z digest=sha256:3e55537d67acfad1c64b0bf0549d28494c4d00b9dba7e1bb58ff79dad1efab99

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.070897Z digest=sha256:fe1ae0ab07128a66594d42bf7c3f212efd41fccdeda019461cfe7123ff4e1eb6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.140448Z digest=sha256:640127718c8edcfc86c6744cf0ce1b74744b91a8d2ffbbfd937ef6db2b023b1f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.207336Z digest=sha256:8e8582f8324693a67ca01ee15fa5b0a15dc2649ffb7c9939e3aeca0b719509b7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.282958Z digest=sha256:433631c67b76da905a44ca71d4a459daca81f6d9c6c48ef71ed0c952a7335f35

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.373302Z digest=sha256:27168a664725dfc3fbcf5fab09a09032032efd55516734e77a8e7149bd85c463

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.487906Z digest=sha256:01fc0b2e6280a6f50e0cbf0b056964260da76ecae30975b350c575f89561d3aa

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.548043Z digest=sha256:d603d114acf3e2d95ab186f5a1e4ce982a5d9f576ee237de8e9c1dce5d47072d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.594226Z digest=sha256:d6a323b6463ea6c9afcde81972e0ffb0211043ab16e532f0345fa6504a50a574

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.658867Z digest=sha256:7e71668dd68741edb98ed5f6684654f0ab05ea8b13c2e941140a490e4c0888e6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.776402Z digest=sha256:93ad8bd6864c797b72cae8a856e9699bc319a44baba93247e3c530ef0f1b4f44

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.849725Z digest=sha256:cb921a430758544988b38c9352167351af9d42a6c148245d5a42fbc8ad241cae

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.909798Z digest=sha256:ee1976717f1eb27d418f74a77388c1b0e4a7c50865538d18fefa933308f3b874

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:28.972019Z digest=sha256:11526c7d115b03191bc1a3b8690d72067b8be333c1d4e7714073f532cf9253f4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:29.081252Z digest=sha256:51a875a70510e9f80f44e0007373c492c7260dafd7b03e067702d1fb1a687f41

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:29.131451Z digest=sha256:0d29afeb59c5fcc261fc6c6c8b0820ec699bfebf2fa2c08154779dd0d0f4f905

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:29.217074Z digest=sha256:0e6a02e4cfdeb23ede9441ccfee92f8505e97831590361815585eb9a91a8c4b8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:29.264673Z digest=sha256:af284e97ae88f2e994798f57148453f8f70bcfbdbeb481f6f5035ba4a2532252

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:59:29.383336Z digest=sha256:db368150af48d5bbdc2e73b61839143e6daff44136b2c9618c51775b77a5e61c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:22:36.886818Z digest=sha256:248df40e2389c3d9e033941da4ff22eac038d6172fa148b5424e1004c3270f05

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-02T00:56:40.518107Z digest=sha256:a4713355da82b6e374eee9715d53fa1d78b0da033f4d173daec54b159deed4ae