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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:27.422712Z digest=sha256:c309999722033c87aa8537af9a59677ff3fb34ce31baed8c1e3dedc3229499d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:27.504941Z digest=sha256:61963fab430363c48f77e8a6e1d39b2bdd9e90bdcd8d3ca2f3d6004773a9c16b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:27.583391Z digest=sha256:9a790591392de81c82c9cfac6f03bd54be9628a827f3828d3038958b968fc8de

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:27.671333Z digest=sha256:2743aaf557394f97f5b2922715fbb1bb513872793d595d38bfbe5a87fe1cc67b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:27.734740Z digest=sha256:313e35f00be074e2823bb25d5b4c6caad1e0d9ef97ecd3ed7864dab9046b756a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:27.813149Z digest=sha256:f6b447764c0eb29dd9a96cb57b8e7e2af9372aaccc6235cbe83c6c5558ed171b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:27.870080Z digest=sha256:46beee4017ff9d030e16f37366025f2f22b7f40493dc0463ec5e19136ead8b53

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:27.987642Z digest=sha256:4a0ffe9a1f2db04fcb1732c7b9c131a9c95c7942cff23fcfe14f88a50d8af8a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.070897Z digest=sha256:42c0ba7be68c5e8c79e048bf853533d7e68f56fd17e9ec1c413a988cb61d40da

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.140448Z digest=sha256:e87c3d54b3e0af0634703ce93760e63a35fbeebbd8ad9287ddde8f2e1b732097

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.207336Z digest=sha256:afa7bc299cdc2f266c3b3532f0dee95aa8efd19be3daaee41e1847dc59bf26b8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.282958Z digest=sha256:3425b00543ee35c0f92b195bc84430ee4bfee8d26bfb6063891f1d6c63f188ea

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.373302Z digest=sha256:102699492f6f93bd8b7e42e1c382620b957da6a48030113b79b4809cd5542a21

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=sha256:6068c986b81600decafeffcb137f94fbd94fa5ea28e355805f91ca0709db8f94

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.487906Z digest=sha256:7cb5a4f100b2a01c6487e8bb994122fefd6f99d5631bff735935ce85aed1eaf5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.548043Z digest=sha256:5e9f53de65cfb734fa886c125f6af051a906ab5055bdeaf7bb3203bdca2588f5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.594226Z digest=sha256:ce7d48ed71c567d6750537b7f57e255e34b2078557dc68ccbd61c8b7f7eb41ae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.658867Z digest=sha256:bf6d4f90e296d68cf588a4623a8efc75513f71753cd244678af886cc1729bcad

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:bc2a4ea351946771f216cb1a29f44bd67f3aac2df3518e729536217c228289e4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.776402Z digest=sha256:9197a7961432415edc55ae3af5189511143f80bed8cf401886758ed5cd4ce981

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.849725Z digest=sha256:f0929879cede322ce1e9e6cd8ea7f995bb5f25c93f3ad110c1e30d0b619ec24b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.909798Z digest=sha256:52cb2456e96f7695911395eb8846d4b1c8941c94069b9d8597d7138c1222f671

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:28.972019Z digest=sha256:573f26f805d1188c4071fba42f13d9e405131869df424b10ac3f46be2cf16789

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:d08d42146104515b8d63040f4ce473db5c66333cea0e4d6fd1092cf431788621

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:29.081252Z digest=sha256:906c04ed9c123143e9dc74aee1905311c4a47cb626339b8f841399242f875e3a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:29.131451Z digest=sha256:1c982fede6f9a769185264bd4fc7b086005cc199a911863904c1a895ae7f3abf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:29.217074Z digest=sha256:cf2d3c7d4b240cf6cf21d52e290420fe357ef8737036aff34893ce7f29bd45ce

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:29.264673Z digest=sha256:c26b23a1d222939c4f555ccc8affa70e0f371a9f27203bff684b2024acb4a43c

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=sha256:795fcc93f78cccbba9eebb67d671301717b24eae2e82376218ed9d829873d036

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:59:29.383336Z digest=sha256:7e71c298a828e96aa5ad9bf89973007fa9e5955137646c2a1cce864173a520e0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:22:36.886818Z digest=sha256:9c14b9390153d265816a200463d3969c33e8541a701479202be1a55c036f057d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T00:56:40.518107Z digest=sha256:798fa552568be721c37eecb59119b70be8a3598ef1af452ebdcab22237279e66