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Paper Citation Record · LEDGER

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration

As of 9 August 2026, this Paper Citation Record lists 100 of 150 outbound references and 1 inbound Pith citation observation for arXiv:2506.07647.

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

pith.paper-citation-record.v1
2506.07647 v1

Coverage vector

measured 100 of 150 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:55.795803Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:24:45.766547Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:24:49.982209Z

Reference resolution

100 of 150 outbound references displayed

  • verified exact10
  • verified fuzzy0
  • unresolved90
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e42b61f7-89ee-4177-900f-c7ff6ccb65e6 · outbound

This paper cites Towards 6G Wireless Communication Net- works: Vision, Enabling Technologies, and New Paradigm Shifts,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Towards 6G Wireless Communication Net- works: Vision, Enabling Technologies, and New Paradigm Shifts,

Reference 1

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Observation e89c1285-8996-42d9-b74c-45aa5c398c5b · outbound

This paper cites White paper on 6G vision and candidate technologies,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration White paper on 6G vision and candidate technologies,

Reference 2

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source=pdf_text observed=2026-08-07T05:33:48.125909Z digest=sha256:cce5916ace8a672b8af9802330df51d92b71614164aa2108b546ce964cc75856

Observation 30e0e075-efbe-4b23-908d-93f0085a5e15 · outbound

This paper cites Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond,

Reference 3

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source=pdf_text observed=2026-08-07T05:33:48.324717Z digest=sha256:82862963401ec5cd90e5e3d98be1a73b6f8132ebd54b5e7e269e99c0dca80b18

Observation 36572e41-7699-4e0a-b688-d579db951231 · outbound

This paper cites Intelligent Multi-Modal Sensing- Communication Integration: Synesthesia of Machines,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Intelligent Multi-Modal Sensing- Communication Integration: Synesthesia of Machines,

Reference 4

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source=pdf_text observed=2026-08-07T05:33:48.402684Z digest=sha256:74e94031c6a7a3f3e4ff7f9cb5341b801dae6ac31335200e8d8130d1c8c1e60e

Observation c7305570-f916-4f83-b0d2-6888d863ec23 · outbound

This paper cites Seventy Years of Radar and Communications: The road from separation to integration,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Seventy Years of Radar and Communications: The road from separation to integration,

Reference 5

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source=pdf_text observed=2026-08-07T05:33:48.582851Z digest=sha256:d7310b9a0cdc5b1cedb01bd502c6ce28330a36f85b66dd303a358455c9245672

Observation 5da2685e-1ec9-442f-8f79-90c726c1770f · outbound

This paper cites A Survey on Vision-Language-Action Models for Embodied AI.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration A Survey on Vision-Language-Action Models for Embodied AI

Reference 6

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source=pdf_text observed=2026-08-07T05:33:48.714265Z digest=sha256:06429089059e0d16a3f2192413b5fbf64d9c5d024a5c067a6d65f0a2f2d056e4

Observation 968869f4-1140-4c65-857c-8d6a9633f682 · outbound

This paper cites Multi-Modal Intelligent Channel Modeling: A New Modeling Paradigm via Synesthesia of Machines,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Multi-Modal Intelligent Channel Modeling: A New Modeling Paradigm via Synesthesia of Machines,

Reference 7

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source=pdf_text observed=2026-08-07T05:33:48.870859Z digest=sha256:5ac99dd3d3c776a56538a9848a5ec099be1c4eb50fce97230a632f4a13c771b4

Observation c8068fc8-0fe1-4be3-b5ab-b6483d76ad70 · outbound

This paper cites SynthSoM: A Synthetic Intelligent Multi- Modal Sensing-Communication Dataset for Synesthesia of Machines (SoM),.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration SynthSoM: A Synthetic Intelligent Multi- Modal Sensing-Communication Dataset for Synesthesia of Machines (SoM),

Reference 8

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source=pdf_text observed=2026-08-07T05:33:48.988266Z digest=sha256:7e979706f9c0742b79aa98191eec60d8d646c18095053a80978d930c71dcf523

Observation fe046022-4b3a-4c9a-9de4-b2a83d4d1cd8 · outbound

This paper cites Multi-Modal Sensing Data Based Real-Time Path Loss Prediction for 6G UA V-to-Ground Communications,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Multi-Modal Sensing Data Based Real-Time Path Loss Prediction for 6G UA V-to-Ground Communications,

Reference 9

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source=pdf_text observed=2026-08-07T05:33:49.103930Z digest=sha256:71c20b6ed3ccda417067fa3ff576fb8f3cf1881b9cddd1bb979c8fc920eada16

Observation 951aaa45-87b1-4cb7-91c6-39dd15f94297 · outbound

This paper cites Integrated Sensing and Communications Towards Proactive Beamforming in mmWave V2I via Multi-Modal Feature Fusion (MMFF),.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Integrated Sensing and Communications Towards Proactive Beamforming in mmWave V2I via Multi-Modal Feature Fusion (MMFF),

Reference 10

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source=pdf_text observed=2026-08-07T05:33:49.308135Z digest=sha256:7eece1f0a54557718327092ca553d97d979a703407a65b38677c488353791ec7

Observation 562756e2-9f05-459b-bb6f-24397aff59e9 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration On the Opportunities and Risks of Foundation Models

Reference 11

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source=pdf_text observed=2026-08-07T05:33:49.462375Z digest=sha256:d179a375045b407a45334f3e96c4e98364c368e0878f00f13a27a0ccf3be4b9e

Observation 293e5b52-37f9-4d1c-8d1e-905f0efbba9b · outbound

This paper cites A Survey of Large Language Models.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration A Survey of Large Language Models

Reference 12

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source=pdf_text observed=2026-08-07T05:33:49.688363Z digest=sha256:54ab372af14ce77eea167cb5ea4b7bd6db86f9097720e4d1aa020123e4876a64

Observation 0a5a5470-20f5-47f3-9c3c-1b1040166926 · outbound

This paper cites DeepSeek-V3 Technical Report.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration DeepSeek-V3 Technical Report

Reference 13

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source=pdf_text observed=2026-08-07T05:33:49.836077Z digest=sha256:830a8463cde30f8d2e2908ae958a136af18aa3be70e7cb03cb2cef7631808394

Observation 3446a18c-57ae-43ff-8966-a02661e7f5fe · outbound

This paper cites Foundation Models for Time Series Analysis: A Tutorial and Survey,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Foundation Models for Time Series Analysis: A Tutorial and Survey,

Reference 14

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source=pdf_text observed=2026-08-07T05:33:49.989506Z digest=sha256:9543abdde98da75b74fc45441036b6122780f1f57d71aefbf8f8dd9b06d7585b

Observation 25e9bc0e-d3a0-4768-829e-8ef924832742 · outbound

This paper cites Accurate medium-range global weather forecasting with 3D neural networks,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Accurate medium-range global weather forecasting with 3D neural networks,

Reference 15

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source=pdf_text observed=2026-08-07T05:33:50.094311Z digest=sha256:f26921d747b4ee2a0d52852ead71074a443fdaaebd1711f58db072c49ec8fb4e

Observation 65bba62b-cc35-410e-b586-6eb854e4ae90 · outbound

This paper cites RingMo: A Remote Sensing Foundation Model With Masked Image Modeling,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration RingMo: A Remote Sensing Foundation Model With Masked Image Modeling,

Reference 16

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source=pdf_text observed=2026-08-07T05:33:50.212135Z digest=sha256:12f73b3878f25b794c0a1f6fc2c94454909a9af4b96a5749c72f897778470fdd

Observation 02c07bfb-32e0-4c24-b9e3-7e26b36b80be · outbound

This paper cites When large language model agents meet 6G networks: Perception, grounding, and alignment,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration When large language model agents meet 6G networks: Perception, grounding, and alignment,

Reference 17

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source=pdf_text observed=2026-08-07T05:33:50.382724Z digest=sha256:e1c4b2e387d1ae6da24c161b5f84346b25701edd103516e9069f32c62fa989e1

Observation 6e2e4e72-80aa-4341-8b61-48ce73ec45eb · outbound

This paper cites Generative AI Meets Wireless Networking: An Interactive Paradigm for Intent-Driven Communications,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Generative AI Meets Wireless Networking: An Interactive Paradigm for Intent-Driven Communications,

Reference 18

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source=pdf_text observed=2026-08-07T05:33:50.533860Z digest=sha256:594f73b8a5f5a5fea1ca844f26b72581659bc495c40c9de9fdbefef68106c1b0

Observation 20655f26-dfbc-43f9-a0f5-56ea99d0c481 · outbound

This paper cites Large Language Model Enhanced Multi-Agent Systems for 6G Communications,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large Language Model Enhanced Multi-Agent Systems for 6G Communications,

Reference 19

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source=pdf_text observed=2026-08-07T05:33:50.645753Z digest=sha256:4c245d4e05aba5546dbda91897f001f4fee06bf17752debec15369a2e92cfa11

Observation 49bbd196-519d-4a17-ba40-ba3717d52e78 · outbound

This paper cites Large Language Model (LLM) for Telecom- munications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large Language Model (LLM) for Telecom- munications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,

Reference 20

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source=pdf_text observed=2026-08-07T05:33:50.787220Z digest=sha256:c67a4556562211b6d3d78ee391f007f30c965054444feab3b4a873afce400c43

Observation 93bbf116-0989-4c37-8b3c-b4001d090f20 · outbound

This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 21

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source=pdf_text observed=2026-08-07T05:33:50.951802Z digest=sha256:4387e042b57c8638abe4900aab545ec1adbeecb895dbd3d0e89b4785680ef16c

Observation 5c878d07-b5fd-40fe-af1d-ac2e83630c41 · outbound

This paper cites A Survey of Multimodel Large Language Models,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration A Survey of Multimodel Large Language Models,

Reference 22

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source=pdf_text observed=2026-08-07T05:33:51.078356Z digest=sha256:986b341eca6490ba89b9731b85353409b92a28a7f31457ecb1c8394aaebc2385

Observation 04c5408f-2772-4b8b-aac9-bc1283d31a39 · outbound

This paper cites Attention Is All You Need,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Attention Is All You Need,

Reference 23

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source=pdf_text observed=2026-08-07T05:33:51.149433Z digest=sha256:2c357814d29dcaa6bd12da8a3c9e7108101493a6a15e1e19c2765975af50951c

Observation ed9faaab-6863-4504-8cb0-7c1b8c4074d7 · outbound

This paper cites Unifying Large Language Models and Knowledge Graphs: A Roadmap,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Unifying Large Language Models and Knowledge Graphs: A Roadmap,

Reference 24

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source=pdf_text observed=2026-08-07T05:33:51.304373Z digest=sha256:674aa5c8f459d100b5ab260cb10f7bb849c545ff1b86eca83e0f42ff4c19705c

Observation e9377e17-1892-4178-bffb-3d65218f54a0 · outbound

This paper cites Scaling Laws for Neural Language Models.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Scaling Laws for Neural Language Models

Reference 25

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source=pdf_text observed=2026-08-07T05:33:51.376082Z digest=sha256:2051a6ec74cc253013e8c457ecd642ca6abd7d081a81e8e4f4c5ab4e108557d2

Observation be2ce9b2-d613-4dbb-a653-1a88b64c37dc · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 26

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source=pdf_text observed=2026-08-07T05:33:51.500639Z digest=sha256:a98afe6bdf7a6205a2eee99e49928e752886418607ef80b9781e2c105a0a10b2

Observation c093cd24-2a2c-48c4-92a6-d3b3ee53b8f6 · outbound

This paper cites What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 27

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source=pdf_text observed=2026-08-07T05:33:51.609306Z digest=sha256:389dd0994f939ed9bc8cce904cd3540daf5329ecc918161a598e4a047cbe2cf3

Observation a559bf27-5d2d-4a5e-8d63-150e482cebcd · outbound

This paper cites Scientific Large Language Models: A Survey on Biological & Chemical Domains,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Scientific Large Language Models: A Survey on Biological & Chemical Domains,

Reference 28

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source=pdf_text observed=2026-08-07T05:33:51.773137Z digest=sha256:2119360ab9416f94435b2a0899520cb9eca77f636db0ee57fc1479f0f1d27151

Observation c759d747-5c1f-4752-b5fb-c8584e283a18 · outbound

This paper cites Large Language Models for Software Engineer- ing: A Systematic Literature Review,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large Language Models for Software Engineer- ing: A Systematic Literature Review,

Reference 29

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source=pdf_text observed=2026-08-07T05:33:51.859407Z digest=sha256:1cccfbffc14b767ef004fbc6c269abeea43857f153478c3167e1af0c480bcd22

Observation 458a9e67-51cd-4334-bcd8-054c74c05951 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 30

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source=pdf_text observed=2026-08-07T05:33:52.011216Z digest=sha256:98f5e2971cfab20da9539b413fed597ad76c509a786656cd68b75326a47b5176

Observation ff2ce64c-f95d-4ce6-a220-2919ca447cea · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 31

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source=pdf_text observed=2026-08-07T05:33:52.157819Z digest=sha256:53e662326d0f4ae9bad4f19653ab374cdc200da4380ac234bf0370d8485c46f2

Observation 456f43c2-cf78-47b7-97fc-9b105cb75862 · outbound

This paper cites Instruction Tuning for Large Language Models: A Survey,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Instruction Tuning for Large Language Models: A Survey,

Reference 32

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source=pdf_text observed=2026-08-07T05:33:52.271344Z digest=sha256:beea7c27f5d22658ee066d21ca88257c70d4e6b145a04f5445ab8bd2c73eec3c

Observation 9dea3049-bd25-4bee-bd4a-603c99b80567 · outbound

This paper cites LLM With Tools: A Survey.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LLM With Tools: A Survey

Reference 33

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source=pdf_text observed=2026-08-07T05:33:52.422812Z digest=sha256:0233bb1b405be318abd2f366e247003d52b04c6409da847a3a83d34ca0b83018

Observation 22a46d73-2b5b-4e59-9380-85ba72da9fe4 · outbound

This paper cites A Systematic Review of Synthetic Data Generation Techniques Using Generative AI,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration A Systematic Review of Synthetic Data Generation Techniques Using Generative AI,

Reference 34

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source=pdf_text observed=2026-08-07T05:33:52.580187Z digest=sha256:03350fd53bdf0bfbcf5a98e5617df76010e4e936cce4eac898412a2e062bd3a7

Observation 4c6f4a5a-d269-4ee1-9bef-84d9ec122595 · outbound

This paper cites Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Reference 35

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Observation 779e10bb-b056-4eaa-afea-d535442dcd85 · outbound

This paper cites Synthetic Dialogue Dataset Generation using LLM Agents.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Synthetic Dialogue Dataset Generation using LLM Agents

Reference 36

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source=pdf_text observed=2026-08-07T05:33:52.790878Z digest=sha256:a7eaa6f0d913a638f7dfd0c7d273fd581f8962d310676f44a8b96805ada2a412

Observation 42d901c0-ef60-42d3-9156-9d25d12c1ee1 · outbound

This paper cites LLM-powered Data Augmentation for Enhanced Cross-lingual Performance.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LLM-powered Data Augmentation for Enhanced Cross-lingual Performance

Reference 37

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source=pdf_text observed=2026-08-07T05:33:52.883810Z digest=sha256:6504e587ff8e8b4549b1ba278aeeb4f12b272440b64e87510ec5caf491ddcbe5

Observation 3741ad26-b996-4766-92b1-8ee5b20d8281 · outbound

This paper cites Synthetic Data Generation with LLM for Improved Depression Prediction.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 38

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source=pdf_text observed=2026-08-07T05:33:53.032102Z digest=sha256:431159b7d18722aff08c22e33283b29135e636c29da0ca637088538366a4a8ba

Observation 7c5d1ce1-0684-436d-ad0d-fb13422f075d · outbound

This paper cites Does Synthetic Data Generation of LLMs Help Clinical Text Mining?.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Reference 39

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source=pdf_text observed=2026-08-07T05:33:53.186301Z digest=sha256:670d3a9bedc4ecce8607ec26d0a0765f5c57e7a719ba8ec161c4391b39071ccd

Observation 06b61f03-1987-4f7f-9894-7955339b5b7a · outbound

This paper cites Zero-Shot Relation Triplet Extraction via Knowledge-Driven LLM Syn- thetic Data Generation,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Zero-Shot Relation Triplet Extraction via Knowledge-Driven LLM Syn- thetic Data Generation,

Reference 40

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source=pdf_text observed=2026-08-07T05:33:53.263354Z digest=sha256:cbe990ebca15240128d770363e215cb4ff270a3ba5699830c11eee4a55effb26

Observation 80e7eb1f-36dc-40d3-8a23-3c2f2c840c8b · outbound

This paper cites LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM

Reference 41

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source=pdf_text observed=2026-08-07T05:33:53.340180Z digest=sha256:53b39524015a4fed351ee5fe9d29232fcb3d4eaab9c7d03e8f949861823d96d0

Observation 77e1e906-7296-4c18-8738-6339770a0bfe · outbound

This paper cites MedSyn: LLM-based Synthetic Medi- cal Text Generation Framework,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration MedSyn: LLM-based Synthetic Medi- cal Text Generation Framework,

Reference 42

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source=pdf_text observed=2026-08-07T05:33:53.387946Z digest=sha256:cdda17ffce09215ed0a54d2042cd8bc36d3b87fad1f878208c222e579dcf0425

Observation acffda94-c268-45ec-9138-38925f51a5ce · outbound

This paper cites Constraint-Based Synthetic Data Generation for LLM Math- ematical Reasoning,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Constraint-Based Synthetic Data Generation for LLM Math- ematical Reasoning,

Reference 43

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source=pdf_text observed=2026-08-07T05:33:53.454320Z digest=sha256:fdc5fe4efc9666d661803fc1ff18c027eba546c141071464a32d644cf70c09c5

Observation e4868408-5475-4335-a375-e595077b296e · outbound

This paper cites Enhancing Table Representations with LLM-powered Synthetic Data Generation.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Enhancing Table Representations with LLM-powered Synthetic Data Generation

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:33:53.562865Z digest=sha256:d63b8871d9d443e34416bbc8bb65484dd271d3b286ab2249774835002970a682

Observation 60dafc64-587f-45ad-a3c3-e28418cdb565 · outbound

This paper cites DiffusionGPT: LLM-Driven Text-to-Image Gen- eration System,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration DiffusionGPT: LLM-Driven Text-to-Image Gen- eration System,

Reference 45

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source=pdf_text observed=2026-08-07T05:33:53.644727Z digest=sha256:e432c1bad607b2257c702c1277c49d0691329b26a610dd638b2c4f0481c3cf01

Observation e4cdf1e3-3bc5-4270-9dd4-8eedef2d89a6 · outbound

This paper cites Medical Video Generation for Disease Progression Simulation.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Medical Video Generation for Disease Progression Simulation

Reference 46

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source=pdf_text observed=2026-08-07T05:33:53.731847Z digest=sha256:3022f5a5671bf649c2c8227f129f8cb3dd053ae96b31ef682af885fc5b0fcbb9

Observation 084d6aea-c431-4a0e-bb2e-135d9ed48ad8 · outbound

This paper cites GenG: An LLM-Based Generic Time Series Data Generation Approach for Edge Intelligence via Cross-Domain Collabo- ration,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration GenG: An LLM-Based Generic Time Series Data Generation Approach for Edge Intelligence via Cross-Domain Collabo- ration,

Reference 47

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source=pdf_text observed=2026-08-07T05:33:53.798564Z digest=sha256:1a9783d05e68bfc59612da6925f833c45945a4e1aad23bbf117e5fee462590e0

Observation 7f7187fb-d700-42b8-a0a4-e6683c285c80 · outbound

This paper cites HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection

Reference 48

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source=pdf_text observed=2026-08-07T05:33:53.848569Z digest=sha256:ed9df0f4abc32a8499c47c3b9242cafed628c2216ab36f77fbeb4098b61054a4

Observation b5f13235-a4fe-4d5f-8812-6126c981aecc · outbound

This paper cites LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts

Reference 49

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source=pdf_text observed=2026-08-07T05:33:53.919148Z digest=sha256:ffd593c3b248041399383e219b946b9e0ce7a9fa6f69b1c9128ed357de8d3ec5

Observation 64f860fd-75f8-4f22-a278-0b8b759d1720 · outbound

This paper cites Generative AI-Enabled Vehicular Networks: Fundamentals, Framework, and Case Study,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Generative AI-Enabled Vehicular Networks: Fundamentals, Framework, and Case Study,

Reference 50

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source=pdf_text observed=2026-08-07T05:33:53.983002Z digest=sha256:838b3fcda9eb63168b09b89e2c70e73def4f139e5ec7130fa8804b97088a131b

Observation 7e19b20a-0231-4f3c-a59c-c5d5ab8e77ac · outbound

This paper cites Generative AI agents with large language model for satellite networks via a mixture of experts trans- mission,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Generative AI agents with large language model for satellite networks via a mixture of experts trans- mission,

Reference 51

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source=pdf_text observed=2026-08-07T05:33:54.041297Z digest=sha256:4228ce93165ff49875494080bf6506f96467c6b89cf1fb522f742799f1a37f89

Observation e8b2f937-2eee-4cc0-ab4a-5910214b82e2 · outbound

This paper cites WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence

Reference 52

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source=pdf_text observed=2026-08-07T05:33:54.116045Z digest=sha256:b23589fbe28a8c618a4cff726707a93b2232172c324ed8b697f30a128fffe9c6

Observation fabff857-9b3f-4f82-8464-1efc2f79c81c · outbound

This paper cites Adapting Foundation Models for Information Synthesis of Wireless Communication Specifications.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Adapting Foundation Models for Information Synthesis of Wireless Communication Specifications

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:33:54.200072Z digest=sha256:cff872692e1ed953449c250887449a18e0942e070f9278123ba521213045f092

Observation 7cfc4fac-a5bc-442e-9ba4-2c524976b0c7 · outbound

This paper cites Designing Network Algorithms via Large Lan- guage Models,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Designing Network Algorithms via Large Lan- guage Models,

Reference 54

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source=pdf_text observed=2026-08-07T05:33:54.278227Z digest=sha256:d120af0ee1ea48906fcb6d52ea5cbb19d6c0bb1b265eddcd58b22e27dee8a4c8

Observation 50c3277e-ef6a-485e-a55b-c01c28a25c70 · outbound

This paper cites POSTER: Simplifying the Networking of Wireless Embedded Systems using a Large Language Model,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration POSTER: Simplifying the Networking of Wireless Embedded Systems using a Large Language Model,

Reference 55

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source=pdf_text observed=2026-08-07T05:33:54.290843Z digest=sha256:2acab622b7942a33f92457b111a4c7719c87263e18eb99cd8ded860b4f70914e

Observation 3dc0365e-d47e-4b0b-b214-bc7a7c0aba8e · outbound

This paper cites Domain Tailored Large Language Models for Log Mask Prediction in Cellular Network Diagnostics,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Domain Tailored Large Language Models for Log Mask Prediction in Cellular Network Diagnostics,

Reference 56

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source=pdf_text observed=2026-08-07T05:33:54.387565Z digest=sha256:84fdcac3f43a459609fb0ee4441eb1c53e427a06633755fd1aac272f2996703b

Observation 38d02c8e-ac8c-4dbc-a249-1033dcc45ea0 · outbound

This paper cites TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models

Reference 57

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source=pdf_text observed=2026-08-07T05:33:54.482543Z digest=sha256:feca69c0fe7f86ce950cf9376d8212198bc9d3a583f6adc2fb72cf73c6757587

Observation 7d9547f8-e754-4804-95cc-2c17d1028f11 · outbound

This paper cites Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework

Reference 58

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:33:54.550952Z digest=sha256:643f381537aeb68ff55413b2c979e5f1c4e2f8abb8375f577edff25e96b2bb44

Observation 082cbf7e-0ea1-4896-b04a-19a6ce51f6f7 · outbound

This paper cites Mobile-LLaMA: Instruction Fine-Tuning Open-Source LLM for Network Anal- ysis in 5G Networks,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Mobile-LLaMA: Instruction Fine-Tuning Open-Source LLM for Network Anal- ysis in 5G Networks,

Reference 59

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source=pdf_text observed=2026-08-07T05:33:54.644155Z digest=sha256:ad278066e30e12a997393a6a9291d143e86a3bf7283dc30abd370b398b7057ec

Observation af1df4a3-f354-4ea9-acf9-e656cd32b66f · outbound

This paper cites ORANSight-2.0: Foundational LLMs for O-RAN.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration ORANSight-2.0: Foundational LLMs for O-RAN

Reference 60

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source=pdf_text observed=2026-08-07T05:33:54.742772Z digest=sha256:0fcfff6f8fb261c9fcf48cf89af8f808808d19ad47959bcc0d8e65b14ef88367

Observation 6985bed2-0baf-4055-b3a4-36d5dcee16f2 · outbound

This paper cites LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented Physical-Layer Automation.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented Physical-Layer Automation

Reference 61

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source=pdf_text observed=2026-08-07T05:33:54.866504Z digest=sha256:3801f18bd1e33f58656277a54a9e9ab40d6ffa25678d8c7eaff3ddb54fd1361b

Observation a1cc5ea0-c104-4ff4-9977-01e3d78af907 · outbound

This paper cites Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Reference 62

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source=pdf_text observed=2026-08-07T05:33:54.967574Z digest=sha256:e6e4aef0ad5326357c6afc43dc21c912a74d3f03375fa9c064a6e0f937fd9720

Observation d878bff9-9d9d-4004-a26f-0a1bb9fd4d34 · outbound

This paper cites Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning

Reference 63

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:33:55.106724Z digest=sha256:f803c5ddbdd139b6421a73daae37341faa9e4c81dd4c1b9354ae14fbd8848002

Observation 139de49a-743f-4c08-b520-525dc9128aac · outbound

This paper cites Self- Refined Generative Foundation Models for Wireless Traffic Prediction,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Self- Refined Generative Foundation Models for Wireless Traffic Prediction,

Reference 64

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raw_fallback, observed 2026-08-07T05:33:56.572054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:33:55.217883Z digest=sha256:58818434ae348277394eff82a942ef0aa895bd8743305501dd7be6624bf16dc2

Observation 583729db-cef3-49a4-8a1f-a490cf52c61f · outbound

This paper cites Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments

Reference 65

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source=pdf_text observed=2026-08-07T05:33:55.337256Z digest=sha256:462eb9d08607c6b76bfcf50eb5346b56aef1735e4be8aa9dafcc240881c1add5

Observation af8fd795-228d-4f7f-a107-57a35db67da7 · outbound

This paper cites LLM4CP: Adapting Large Language Models for Channel Prediction,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LLM4CP: Adapting Large Language Models for Channel Prediction,

Reference 66

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source=pdf_text observed=2026-08-07T05:33:55.471184Z digest=sha256:97d4114e81305cccff2905125373d9cddcd8c6bf5ff085f6d536ab85747caaa1

Observation 81f46fbe-0961-4198-8d8e-d111d73b984f · outbound

This paper cites Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training

Reference 67

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local_arxiv, observed 2026-08-07T05:33:56.489640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:33:55.575565Z digest=sha256:53b07414e48e8d264f42cc59d8f0282d601f331a8fa3bec747bbd6fedd84ebe0

Observation 363c5e64-6846-48ff-b27f-9c7766a0c363 · outbound

This paper cites Beam Prediction Based on Large Language models,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Beam Prediction Based on Large Language models,

Reference 68

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source=pdf_text observed=2026-08-07T05:33:55.663695Z digest=sha256:e0ed1ffbc85792885d5e2e67875b7d9087ed0a111a7b378acb4df9c2e1576565

Observation 331dc49f-3656-496b-aba0-4cb325305c80 · outbound

This paper cites Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback

Reference 69

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source=pdf_text observed=2026-08-07T05:33:55.689365Z digest=sha256:8e5b483efb239802e9c8985e5f9532da382231c2b2651650e252eeff66076112

Observation 180a43cd-8194-484b-aedc-f379cf194369 · outbound

This paper cites Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks

Reference 70

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Observation e6c49293-5a39-42f2-9285-f4d9e5fb23af · outbound

This paper cites Netllm: Adapting Large Language Models for Networking,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Netllm: Adapting Large Language Models for Networking,

Reference 71

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Observation 308d000d-39f0-4816-a66b-4208a9ccef42 · outbound

This paper cites LLM4WM: Adapting LLM for Wireless Multi-Tasking.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LLM4WM: Adapting LLM for Wireless Multi-Tasking

Reference 72

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Observation 6be6907c-e444-40b6-93fa-331bdf67d57e · outbound

This paper cites Large Language Model Enabled Multi-Task Physical Layer Network.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large Language Model Enabled Multi-Task Physical Layer Network

Reference 73

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Observation 014b3c9d-7f7d-4df9-ac12-e7e46e818da1 · outbound

This paper cites Semantic Communications: Principles and Challenges.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Semantic Communications: Principles and Challenges

Reference 74

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Observation cad5aa52-7b15-4635-a560-e2d65d220cf9 · outbound

This paper cites Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation,

Reference 75

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Observation a962b84f-e5f4-495b-981f-49418dc505be · outbound

This paper cites Semantic Importance- Aware Communications Using Pre-Trained Language Models,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Semantic Importance- Aware Communications Using Pre-Trained Language Models,

Reference 76

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source=pdf_text observed=2026-08-07T05:33:55.718778Z digest=sha256:f9f03a460ca9dfc38f901708bf0bb68e75bd2f04c0b0f325c3b3763693c6e75a

Observation 8f43e3f7-00e7-4890-ac73-a1c958c76ae4 · outbound

This paper cites Large-Language-Model Enabled Semantic Communication Systems.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large-Language-Model Enabled Semantic Communication Systems

Reference 77

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Observation b3553d9f-bc52-4471-84b8-cf2e748bbb90 · outbound

This paper cites On Large Language Model Based Joint Source Channel Coding for Semantic Communication,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration On Large Language Model Based Joint Source Channel Coding for Semantic Communication,

Reference 78

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Observation cb2a182e-156d-4945-8365-e3e9e86833ed · outbound

This paper cites Semantic communications using foundation models: Design approaches and open issues,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Semantic communications using foundation models: Design approaches and open issues,

Reference 79

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source=pdf_text observed=2026-08-07T05:33:55.729878Z digest=sha256:dd93150f007ff745ae0f399bbd5617c30f378b204cb366cc2d723bb1b736ae2c

Observation 1dbf7f3d-4ecd-4207-8f25-bfbbe8a7e9dd · outbound

This paper cites Large AI Model Empowered Multimodal Semantic Communications,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Large AI Model Empowered Multimodal Semantic Communications,

Reference 80

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Observation 8a7e8082-f467-48bc-b52b-df236f99b628 · outbound

This paper cites Generative Al-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Generative Al-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts,

Reference 81

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Observation b42e2458-6800-4c4c-8af4-cd6694ed6ce1 · outbound

This paper cites Semantic Communication based on Large Language Model for Underwater Image Transmission.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Semantic Communication based on Large Language Model for Underwater Image Transmission

Reference 82

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Observation 58af07bc-76a1-4b39-9d94-32782100a564 · outbound

This paper cites Latency-Aware Generative Semantic Communi- cations With Pre-Trained Diffusion Models,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Latency-Aware Generative Semantic Communi- cations With Pre-Trained Diffusion Models,

Reference 83

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source=pdf_text observed=2026-08-07T05:33:55.742491Z digest=sha256:f08932ce28c79c382079731ecee275141923104c21d5869360ed1f78f3504d35

Observation 9db95ec6-1381-4e8c-a578-ddd432f6a4b0 · outbound

This paper cites LaMoSC: Large Language Model-Driven Semantic Communication Sys- tem for Visual Transmission,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LaMoSC: Large Language Model-Driven Semantic Communication Sys- tem for Visual Transmission,

Reference 84

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source=pdf_text observed=2026-08-07T05:33:55.745424Z digest=sha256:71999a8e6d3baf1db6d37f20e8546280936d532557a9846728c384e8d2469aff

Observation 7240f912-9286-4d59-9002-b926815f6823 · outbound

This paper cites Per- sonalizing Semantic Communication: A Foundation Model Approach,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Per- sonalizing Semantic Communication: A Foundation Model Approach,

Reference 85

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source=pdf_text observed=2026-08-07T05:33:55.748016Z digest=sha256:cfe52c219334ae36d5a712b0f1093d4756d882ae910d6e360df7b9da100fcd57

Observation 9f7769cd-db97-43ca-a100-399337fcf6d6 · outbound

This paper cites M 3SC: A Generic Dataset for Mixed Multi- Modal (MMM) Sensing and Communication Integration,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration M 3SC: A Generic Dataset for Mixed Multi- Modal (MMM) Sensing and Communication Integration,

Reference 86

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source=pdf_text observed=2026-08-07T05:33:55.750578Z digest=sha256:6e21a2dd7d973243b861187c55c28d3fc03c3b6290ee6f596ec982b21b21593f

Observation e9596670-4fda-4713-bc55-68aeb0e506e2 · outbound

This paper cites UniAudio: An Audio Foundation Model Toward Universal Audio Generation.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Reference 87

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Observation 4e5b7549-dbd4-4024-b9af-42462c990f84 · outbound

This paper cites MaskGIT: Masked Generative Image Transformer,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration MaskGIT: Masked Generative Image Transformer,

Reference 88

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Observation 1c5375dc-dfc7-4d04-a6d3-311287dcd339 · outbound

This paper cites A Vision-Language Foundation Model for The Generation of Realistic Chest X-ray Images,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration A Vision-Language Foundation Model for The Generation of Realistic Chest X-ray Images,

Reference 89

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source=pdf_text observed=2026-08-07T05:33:55.762159Z digest=sha256:d3c1d3cfe4ccf2e2d035c36ef27318d779d0f0bf195a6d5f711e3cfad9af97cf

Observation d706f0e6-5005-4761-a314-9656cc3fd6f9 · outbound

This paper cites Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation

Reference 90

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source=pdf_text observed=2026-08-07T05:33:55.765080Z digest=sha256:a35221553e6204e9a99ab3615a6a2250aa2d4b9c35e3f5134121b8ca899773ea

Observation dc7e7a4d-755f-47b6-ad0a-b62630c51d61 · outbound

This paper cites VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Reference 91

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source=pdf_text observed=2026-08-07T05:33:55.767869Z digest=sha256:b5b9509d999334cc2fdacb8fc2c6cb5446ba6e19c3a22898d7bc80f5511691bc

Observation 6a868a65-61d7-4e05-8f2a-ccec593bc410 · outbound

This paper cites MRGen: Segmentation Data Engine for Underrepresented MRI Modalities.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration MRGen: Segmentation Data Engine for Underrepresented MRI Modalities

Reference 92

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source=pdf_text observed=2026-08-07T05:33:55.771797Z digest=sha256:afe49070189f108e80ad678e6fa4236d8879c4cf041b9720bf1eec2ca8820fc8

Observation 2174f902-5189-4363-9ac4-afee0a674bd8 · outbound

This paper cites Revolutionizing wireless networks with self- 20 supervised learning: A pathway to intelligent communica- tions,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Revolutionizing wireless networks with self- 20 supervised learning: A pathway to intelligent communica- tions,

Reference 93

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source=pdf_text observed=2026-08-07T05:33:55.775318Z digest=sha256:7ae7d7262b7079ff4e64d50d2a39c3624afad54d661e61796f60b4b9ad00cd9b

Observation 06ef3889-b747-43aa-bf0d-a50d9915f03d · outbound

This paper cites Low- dimensional Representation Learning for Wireless CSI-based Localisation,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Low- dimensional Representation Learning for Wireless CSI-based Localisation,

Reference 94

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source=pdf_text observed=2026-08-07T05:33:55.778411Z digest=sha256:02e34ed14da2762b30816df1e2d1b772495f363e926a5f48a81bf81aa747614d

Observation bfd4a66d-8353-4dad-8944-09b0c1001769 · outbound

This paper cites Triplet-Based Wireless Channel Charting: Architecture and Experiments,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Triplet-Based Wireless Channel Charting: Architecture and Experiments,

Reference 95

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source=pdf_text observed=2026-08-07T05:33:55.782155Z digest=sha256:b2d102a089d1b5e5aad2e3013e638cea6c1584f06a357e06c93322f4982a5985

Observation 444f5016-d5c8-4638-b584-a9d483e51f15 · outbound

This paper cites Contrastive Self-Supervised Learning for Wireless Power Control,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Contrastive Self-Supervised Learning for Wireless Power Control,

Reference 96

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Observation a311de8d-b155-4239-a132-3ff3c38e7f69 · outbound

This paper cites Self- Supervised Deep Learning for mmWave Beam Steering Ex- ploiting Sub-6 GHz Channels,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Self- Supervised Deep Learning for mmWave Beam Steering Ex- ploiting Sub-6 GHz Channels,

Reference 97

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source=pdf_text observed=2026-08-07T05:33:55.788060Z digest=sha256:4e3984d802bdb7d2011974351c3355c3ab737f8fa0611a5dada339b3075074e4

Observation 7feff8a8-8543-47e5-8a5a-11fc7e706923 · outbound

This paper cites Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learn- ing,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learn- ing,

Reference 98

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source=pdf_text observed=2026-08-07T05:33:55.790510Z digest=sha256:5352458cd35762d742b3756a8816a3719945bbf109883456f3d2d444d3438c2b

Observation 2417961f-bf5a-4a13-93f2-68c6356a44ed · outbound

This paper cites A Transformer based Self-supervised Learning Framework for Robust Time-frequency Localization in Concurrent Cognitive Scenario,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration A Transformer based Self-supervised Learning Framework for Robust Time-frequency Localization in Concurrent Cognitive Scenario,

Reference 99

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source=pdf_text observed=2026-08-07T05:33:55.793026Z digest=sha256:9e3a355f3ab91d865e25a70e9e27a6548051532e6c045c227db3bedbbe6ca728

Observation b22fcf5b-9462-48e4-958b-14cc1449ed74 · outbound

This paper cites A Self-Supervised Learning-Based Channel Estimation for IRS- Aided Communication Without Ground Truth,.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration A Self-Supervised Learning-Based Channel Estimation for IRS- Aided Communication Without Ground Truth,

Reference 100

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source=pdf_text observed=2026-08-07T05:33:55.795803Z digest=sha256:fabf6f162e582f7de2068e3caaab6c8db8eedb7da4d828152f2367c8ce86b2a7

Pith citing papers

Observation cb89758d-6c11-46ff-a6cd-8cd28aa7b1ef · inbound

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities cites this paper.

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration

Reference 46

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local_arxiv, observed 2026-08-06T16:24:49.985369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:24:45.766547Z digest=sha256:244d8bd7175fb5006a4add8afe13f91b560a6bf97b79f2736c02b8c2c574cf1a