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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 19 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 2026-08-19T06:32:44.657259+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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source=pdf_text observed=2026-08-07T05:33:47.985430Z digest=sha256:c7dc6dd69fa732251ec4fabe6333f7b024c70f1d8886505f4d94fef19f30c756

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:b7ac2d693e585b1bf14dfbd6301bb2cb995b1d642f4897f9ba9f825966c2ee8b

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:eec465b166a3e86aa24854539b2813b6995fa4eae95af34eb9ce0bb04bd330e3

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:d18e6e13b257df40db35e50a9658f96333f296c60ad71961340731f603761c87

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=sha256:14d598ad9340be32263da12a45ef0a51984530475ffca53af700c7e4774d090f

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:de335ea622c9e51bc4072e52c6072ea983d687750a081c09bb0286b354c45ecd

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:f3b465c479eec357ea3f36c9cda8f31e6f10e8e141b06ec4685f52b630cc70f9

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=sha256:22b6a29dc336fe04b8858d56e7aa8546e702ff7e9b94cfa9d1db0dd4a3fd15a6

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=sha256:7d7cdf71e18282fb7ed248df920c6a26742bebc1554096e68d9b5c36c21eda73

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:a4b22a50cb0cbc0aef48f744cfcbadc45cc9b6e7e26c0f1199c626e5c5c84f33

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=sha256:7dbbb4cc766685f880c60e952a5d559896938087444b39b73f9676f2e22f69d3

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:b419cc9d89edaec284a0e7b39f9dd535e3d218bd217c0ad2132e021179f08fd5

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=sha256:30deae61ce01839a2736ffc7bd86b4e88fba789f992d852e210f8d75ad5d2e15

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=sha256:33729a1f36dd96ee398601aec4fe2baea1c8ce1abcfe32f15e0d765c509a3c8d

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=sha256:52de247ac5b717e0e6ae2c4005ffeab1f168d3941aa8d1454b4576ac0cb4d73b

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=sha256:24f3c674426383b500da386ed6dd5439314d2621e41dd6172898950846e7a2a5

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=sha256:7a6eb6dc52918127ca2ebc23bf1080d8ac1f9afdfbd080c9816df68e758c98c5

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=sha256:770a68a62b913d42e2d7ae61ea1eda40047445014883a12e2a082f4b4182e902

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=sha256:96b46be06ca84c8b5aaf093319f19f7601edd504de98079ccaca793bb519cd2d

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=sha256:5a9f75c6479aa66f63f5e5a8a7989f4c731187c188f84e073cc6b2fe48f7d5dd

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:cfbe604cf6e2f1a45162121f7d934f1f6631f1e5120c3a5aa9c6082b1b67e6e5

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:b23e085cba0c5a3273d465f146fad1832d9360fb6224b55b0acdb115dce2a45b

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:afba25ef2491919c63a066c55bcd1f0f873ba5e3e3f2632ba4b6aece8f7a953f

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=sha256:7e7f392aa0137ffd092f30ff3fa0414a054e6c834a3894b56c7675e70fe068c0

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=sha256:34b1b7e9ae61b053b894232c11cde41b25bde0526559dbfbc0802e6969ad318e

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=sha256:28b97db1ccc0082f7f434466d772630bae191aca5d3fce2222d4cbcd33e3d8a4

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=sha256:0cb7fae7904410ff3b7dc53aa4e7690b13341f54c1e4270b1f53252593401fea

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:abf8fb2eb4304f6772bac657c3cf70256970cd7553c672ee6528f381d21b96f5

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=sha256:03fd8da55b0b9ee10818fd310b56085df77dd60413557d448128cabb7bb68bbf

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=sha256:0e726bf1db810a48056da1fc79685e91f6a9c79c414f790f3bd3c4acef481b8e

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=sha256:88ebb9c27e6616cf60c423352ce4cee0a00006aa682ef03c2e219a1c93f5765c

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:ec7f536750a67e8c7b9a44e470feb8ca4751b1b220caf3925d88fe6b04a1592c

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:b4e83f6a5cfb041dd0bc7b004a60a08a5c02b0cfdf45923cd2c99c37d84ef760

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=sha256:36ac6c92a548058a9eba267c33d45c3c5d8ab7eea6e24b74c1ab3a7c1ba3089a

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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source=pdf_text observed=2026-08-07T05:33:52.644359Z digest=sha256:d73fcc5a1ae32ae787124c870831efb54e4e4dee6a54a363b98465a16b386888

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:e7764bf20edd19ebc06863beda73d83494f0403cc62d9a1fe15b044d41cfc830

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=sha256:1d3b4920b9c6c2484ebb234f24d647607734708519c51c25c2fdae4fd13f44f7

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=sha256:18666c8c953711044101508955acd8980649958e90a53d4acecc28462ef15b5c

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=sha256:25f827a387f8df54d3971d66a93b4fac2ce0cdad4f90fffb76a022a6c6b6f720

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=sha256:920453d3a20c9c854ca7114116944d4ce9f70ff4678abe7ba610384729a11f32

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:f778a5ee26d4ab59e198b3a463b8d5030fedafa911cab8936062eba4f408e64e

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:fbe63b34bf2204300ede03cb276e3678ee88143b8b850730d486b8be6b2fc218

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=sha256:007550f810358a6d9bcc4d895a23947f23d236ef08a13b71411d4247f660eeee

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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:33:53.562865Z digest=sha256:5a1c211cf9f238458239c10e0b995fdc3a041e3ee09b0a382c5013f46e16561a

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=sha256:8290dfaa5c9e341f59875056ba85c4dc79a5035ad97fa765777d5e5b83ab91c6

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=sha256:4d2209c1abe416262b22fc0962534e1fa4a17174ea078d5eb7e157fde775db7a

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=sha256:4776fd7ff3b1b2bb70d5d539a1ba2c0a5a207866c8e9ecaa8176661ecd03a6e2

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:c5bcf4e901a5e3fcad2eb3912388437c412ecb6d40862b5290ad859b03472256

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=sha256:7d6c8607e8177061c00fcc5d44d7ca02664e068a3cd1cac64052e757da4dd64b

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:a004e473813105655b66662eb64bd8b59b7bd77b1a8e7389d57b400344b9c169

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:ccf1a19a51073bc8143ab40d0b0020986995f566e72fb908c277d2348bb8d60c

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:da6d6fa189140a183fc3e34e61e8c8dfbbe281f3df8459790bbf6d92ef5e0e7b

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

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:33:54.200072Z digest=sha256:9c575293fc22b17522e7f5ccfc9c8502daa556ffa434bbd9d4ac0359955a7d80

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:e119b5196c0b2643ee56a3626dac3e01e0c9328282678ccea3f97c65e4ef5973

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:b6971e72f5375eca11d894b4e39bd37acc30483389f9afa95e5495387b57806e

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:a11fde6f830b110f8f8ac46e38aecd9db4b08a7163c2e10d1d4f017e83f63a1c

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=sha256:657054970c0a34eb321c0232836dab30944a9fe41cf0c7a61c50a4f6713bab55

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

source=pdf_text observed=2026-08-07T05:33:54.550952Z digest=sha256:9c713935c3f062f4cb9c68910b6b379e6d75320fcb49fcca753c0be6f98c9474

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=sha256:52abc921a3a4b658b1ccf822e8fe575be98ad6a6a413525e43a23f43e8b33231

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=sha256:79aa8b2d5affdfdbbdb141c63db86e4bae61e5529e0f7bcbfc07ae042a1967e5

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=sha256:9ef8c2e7e5909bcd2db9fdebced1da2f0bd49448838751e68da1a38cb26199dc

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=sha256:9f9994bcf7648569e8b98c8ba498f693655499b243f6704606a364cc4e192f1a

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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local_arxiv, observed 2026-08-07T05:33:56.584830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:33:55.106724Z digest=sha256:83d9b2ad784507b72c8b8d3a9d9384c473aeedd0a35557d8eca036caaaa0678c

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

source=pdf_text observed=2026-08-07T05:33:55.217883Z digest=sha256:f99ea376b31b2c422b9347682ec5e6555660a4ccb88bf9c7ab99f5fa6c64709c

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=sha256:1db208613d196abe1082791c732527177f424b7582ed4212f5caed2f2251e5b6

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:d989478dbe053b7088295c0f575d2c65c5a761ccb4556ac7b18bd34b7adb9fe3

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

Resolution
verified exact
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:33:55.575565Z digest=sha256:9176d3f2e667076bea09f4238fab3976af276559489753d2ed2be560c1ad04f5

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:b3a75e132394a4fb525b8b7822c218d5b455c8dd18c13e53fa44ed1eb2c5a4be

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=sha256:1c70b8025d89f11dc75a89df2ec4fc5cad6404ed91a0fc64baee797831dab1e9

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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source=pdf_text observed=2026-08-07T05:33:55.702001Z digest=sha256:0ef97701494d1fe9b57eaa5bfd1053c956626148132b59752abc1620b3923d1a

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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source=pdf_text observed=2026-08-07T05:33:55.705478Z digest=sha256:c32b6ac8a6bd762bde4a5b161dc421d3fbe6c66e0e03f66c1cad0b786a9aa962

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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source=pdf_text observed=2026-08-07T05:33:55.711879Z digest=sha256:e9a011e92c6fc3c340a2284e010b8c9fb4a87ba9a76715f771a1f29c88b5650f

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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source=pdf_text observed=2026-08-07T05:33:55.715502Z digest=sha256:495789b6a420c7e16cdbe6fe1d4fc7d927726fbb446b1620b9ccd00e824508eb

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=sha256:142d6c6b94d13732984eec6c6f4db8b42d7d0057721ca84431e6532ecf6769ab

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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source=pdf_text observed=2026-08-07T05:33:55.722131Z digest=sha256:70f9db6a784c0e6684ff827acaca0194a07996a3cb550141685322ad2051a494

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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source=pdf_text observed=2026-08-07T05:33:55.725686Z digest=sha256:3b7e48a1f61d1c9e90a7b1cba2e2d7ef9793c2afc8434e84279bc2f0ea9c4e98

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:c596a7a26c5ddbed401f31fd1677060e2125bc505633cc5c2ed7f6c39ad91f32

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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source=pdf_text observed=2026-08-07T05:33:55.733859Z digest=sha256:bc995f98da81950b93fb5f0b9617fb521add1dc57864772d3e2c33cf19a11f85

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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source=pdf_text observed=2026-08-07T05:33:55.736682Z digest=sha256:15296f8fd419d53460bd099999a64420f3b489c92097c2b8b2fc4951de872888

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:33:55.739312Z digest=sha256:55d86e7200eba9373edc06625a8ae87114eccd141b42c19b23e15512b49732f2

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=sha256:42b1f372d50779f4365d77c9416fab772666c6cb57a5e7b6c2d41b218b5b15cd

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=sha256:3616e4db3cd145d079234d495516350ed6c9389802ad18e82d5274e9c6fcc2d9

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=sha256:799b608dea261db00a417b76d191e2f8070a1d5fc6b2ed9c93613f895176c67e

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=sha256:94fe7cb18762f7ce28705a2757faa59ac80875e4f43c0afe4fe8937118776839

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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source=pdf_text observed=2026-08-07T05:33:55.754374Z digest=sha256:ac307901e40d1caf5db2ea5f871932c035612bcc694c0cb57d2a5decde20b761

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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source=pdf_text observed=2026-08-07T05:33:55.757713Z digest=sha256:58e284228d7310c640a52dcb33151f6016c07a06d3f9af9d86e028d9f05a0b6e

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:da3d5dd9d5f4f364fe3f066b5d267dd310b37eeba34e54414077b6f77325ca28

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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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T05:33:55.765080Z digest=sha256:71061e0f8315c90e33bd3af786e04b5f8b625b7dd3f6f121b3b5f805d6036cb2

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=sha256:11c5b7f3612a2b5f9ffb538f677c8b0de7ca4a12569bcf0dc623d6770c0f1bc3

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:e3a3fb1db7b0d073e1f385615fd273962724d4015942b5260f4ba7f0e80ff214

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:d95a13e686fc4b0745069af214275d9cb0e6bdd5454cb85a668e5f132d654089

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=sha256:3e221ba4ccbca486f4999eb0a677988fbcd0cef6be0956cff4768a41c481e108

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:eb7137c65c0a56f2bd3315a8d5c6f9b6c2f1103435267d3932f55f18c2ca0689

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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source=pdf_text observed=2026-08-07T05:33:55.785142Z digest=sha256:1048f6ee382f68c315adc4b1e91386bbbf482286fbdeea9054d8a0213d285bdb

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:a514d895244d915301859885005c9d509c01c00db7344ffd2563c152032ae96c

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=sha256:5685bd8b35da3246524000fb5e06480ac5e02168db97c5b58081069d6c1fef1d

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=sha256:2462b1ac8ba96200a02b4a368f31a360b4edc3c8e14388e358e55d3b5f453be5

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:d8c10b931c909fa92cd204c483b8fe6735404ca3fae5c7db8fed510c00aa4cd1

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

source=pdf_text observed=2026-08-06T16:24:45.766547Z digest=sha256:e59949d0510c8ec53ef571e616c400533a552377830bffa29930bf745db49f5d