Paper Citation Record · LEDGER

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2505.17879.

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

pith.paper-citation-record.v1
2505.17879 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:04.966571Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:55.863174Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:56:06.508159Z

Reference resolution

45 of 45 outbound references displayed

verified exact0
verified fuzzy37
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 850f0dfc-69a2-4e47-9237-591dbeeb1bc7 · outbound

This paper cites Channel nonstationarity and consis- tency for beyond 5G and 6G: A survey,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Channel nonstationarity and consis- tency for beyond 5G and 6G: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:14.770020Z

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Observation f92a1e10-c459-4d77-bd07-28ec0f6f0342 · outbound

This paper cites Hybrid far- and near-field modeling for reconfigurable intelligent surface assisted V2V channels: A sub-array partition based approach,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Hybrid far- and near-field modeling for reconfigurable intelligent surface assisted V2V channels: A sub-array partition based approach,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:14.424126Z

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Observation aed9b6ca-ea79-4933-a4ac-afa277a48b95 · outbound

This paper cites A tone-based AoA estimation and multiuser precoding for millimeter wave massive MIMO,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines A tone-based AoA estimation and multiuser precoding for millimeter wave massive MIMO,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:14.080330Z

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Observation bc5433c3-7ff1-4e95-800a-a0a8963e7a66 · outbound

This paper cites Multi-user millimeter wave MIMO with full-dimensional lens antenna array,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Multi-user millimeter wave MIMO with full-dimensional lens antenna array,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:13.633506Z

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Observation 3f0026fe-1923-451a-b501-838f1bc71aec · outbound

This paper cites Machine learning for reliable mmWave systems: Blockage prediction and proactive handoff,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Machine learning for reliable mmWave systems: Blockage prediction and proactive handoff,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:13.272867Z

Source-reported events for the cited work

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Observation 615c093c-b1ea-468f-8e7c-3666224c26f7 · outbound

This paper cites Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:13.058652Z

Source-reported events for the cited work

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Observation 78033532-58bd-4715-9c71-c65771c3ee0c · outbound

This paper cites A novel SAGE algorithm for estimating parameters of wideband spatial nonstationary wireless channels with antenna polariza- tion,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines A novel SAGE algorithm for estimating parameters of wideband spatial nonstationary wireless channels with antenna polariza- tion,

Reference 7

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Source-reported events for the cited work

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Observation 21f5517d-32b3-4285-8a43-0bbd436aa32a · outbound

This paper cites A cluster-based three-dimensional channel model for vehicle-to-vehicle communications,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines A cluster-based three-dimensional channel model for vehicle-to-vehicle communications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:12.708513Z

Source-reported events for the cited work

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Observation 46932286-46c2-442c-bcb4-b69b3f8bd455 · outbound

This paper cites A general 3D space-time-frequency non- stationary model for 6G channels,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines A general 3D space-time-frequency non- stationary model for 6G channels,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:12.544425Z

Source-reported events for the cited work

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Observation 1560ba90-f937-401c-9cda-54b0aa87ac3f · outbound

This paper cites Research on MIMO channel capacity in complex indoor environment based on deterministic channel model,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Research on MIMO channel capacity in complex indoor environment based on deterministic channel model,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:12.332903Z

Source-reported events for the cited work

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Observation c2f3b435-442a-492d-a820-9b64812d91ef · outbound

This paper cites An investigation into the spatial heterogeneity of MIMO device with 3D deterministic channel modelling using single-probe anechoic chamber method,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines An investigation into the spatial heterogeneity of MIMO device with 3D deterministic channel modelling using single-probe anechoic chamber method,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:12.140820Z

Source-reported events for the cited work

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Observation 6fb73eb2-ad69-43f4-9d73-00b045805b5e · outbound

This paper cites Foundation model empowered Synesthesia of Ma- chines (SoM): AI-native intelligent multi-modal sensing-communication integration,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Foundation model empowered Synesthesia of Ma- chines (SoM): AI-native intelligent multi-modal sensing-communication integration,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:11.907335Z

Source-reported events for the cited work

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Observation 7a666e96-26b2-48df-aec4-6e2a4bbc44ce · outbound

This paper cites Large multi-modal models (LMMs) as universal foundation models for AI-native wireless systems,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Large multi-modal models (LMMs) as universal foundation models for AI-native wireless systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:11.725714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c1577a4b-0faa-412b-866c-042a3c5d3180 · outbound

This paper cites Advanced deep learning models for 6G: Overview, opportunities, and challenges,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Advanced deep learning models for 6G: Overview, opportunities, and challenges,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:11.379908Z

Source-reported events for the cited work

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Observation 7b69325e-22f3-4e5a-b76b-caf0083d95b5 · outbound

This paper cites Artificial intelligence enabled radio propagation for communications—part I: Channel characterization and antenna-channel optimization,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Artificial intelligence enabled radio propagation for communications—part I: Channel characterization and antenna-channel optimization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:11.156811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fd6a2637-efbc-412d-8562-8fe4b2957afa · outbound

This paper cites A power-angle-spectrum based clustering and tracking algorithm for time-varying radio channels,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines A power-angle-spectrum based clustering and tracking algorithm for time-varying radio channels,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:10.905493Z

Source-reported events for the cited work

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Observation 99c52eed-d7ee-4264-9909-d97a7b2eaf26 · outbound

This paper cites Trajectory-joint clustering algorithm for time-varying channel modeling,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Trajectory-joint clustering algorithm for time-varying channel modeling,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:10.682147Z

Source-reported events for the cited work

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Observation 8833ef85-b1dd-4e96-a9ad-92130c05f881 · outbound

This paper cites A Novel Deep Learning Based Time-Varying Multipath Component Tracking Algorithm,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines A Novel Deep Learning Based Time-Varying Multipath Component Tracking Algorithm,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:10.489906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6a174fab-227c-4fcf-bdc4-36176af794f2 · outbound

This paper cites A scatterer localization method using large-scale antenna array systems,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines A scatterer localization method using large-scale antenna array systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:10.294412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d75f57a-b1a0-40c4-b786-f5263f89c81f · outbound

This paper cites Intelligent multi-modal sensing-communication inte- gration: Synesthesia of Machines,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Intelligent multi-modal sensing-communication inte- gration: Synesthesia of Machines,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:10.108647Z

Source-reported events for the cited work

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Observation 2778589d-e9c8-4a0a-9946-1096d7795155 · outbound

This paper cites An intelligent path loss prediction approach based on integrated sensing and communications for future vehicular networks,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines An intelligent path loss prediction approach based on integrated sensing and communications for future vehicular networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:09.952913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c383ac99-51ec-4881-bbbd-2f63be5d7213 · outbound

This paper cites Scatterer recognition for multi-modal intelligent vehicular channel modeling via Synesthesia of Machines,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Scatterer recognition for multi-modal intelligent vehicular channel modeling via Synesthesia of Machines,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:09.777245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 030f7d4a-de69-41f7-b607-de6a70895a74 · outbound

This paper cites Pretrained Transformers as Universal Computation Engines.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Pretrained Transformers as Universal Computation Engines

Reference 23

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Observation 9b87dd56-e1ab-445d-a4ed-576fa1a9099f · outbound

This paper cites Language models are few-shot learners,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Language models are few-shot learners,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:09.585084Z

Source-reported events for the cited work

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Observation d614e01b-1b37-4970-b4bf-864c48d75bf4 · outbound

This paper cites DiffusionGPT: LLM-driven text-to-image generation system,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines DiffusionGPT: LLM-driven text-to-image generation system,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:02.616264Z

Source-reported events for the cited work

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Observation 74133161-9437-468e-8457-103bd928d22f · outbound

This paper cites Medical Video Generation for Disease Progression Simulation.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Medical Video Generation for Disease Progression Simulation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:02.740330Z

Source-reported events for the cited work

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Observation 8c7932fb-b73b-49d0-9e83-3cbdc9e23b37 · outbound

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

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Enhancing Table Representations with LLM-powered Synthetic Data Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:02.852642Z

Source-reported events for the cited work

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Observation 5d94566e-14c8-427c-87e1-2f5e914d107e · outbound

This paper cites GenG: An LLM-based generic time series data gener- ation approach for edge intelligence via cross-domain collaboration,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines GenG: An LLM-based generic time series data gener- ation approach for edge intelligence via cross-domain collaboration,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:09.420376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d79b7ed8-6318-4c3f-b898-31e393e99e69 · outbound

This paper cites LLM4CP: Adapting large language models for channel prediction,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines LLM4CP: Adapting large language models for channel prediction,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:09.255401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f4988e1-603b-440c-b604-57d0da10dd85 · outbound

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

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:03.145386Z

Source-reported events for the cited work

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Observation 93f99599-bf84-4fca-b37e-f6863921852a · outbound

This paper cites Beam prediction based on large language models,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Beam prediction based on large language models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:09.006289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e8192e2-ad3a-4f3a-a1c6-d1096c387f2d · outbound

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

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Exploring the Potential of Large Language Models for Massive MIMO CSI Feedback

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:03.391437Z

Source-reported events for the cited work

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Observation 60aa196f-e342-418b-8158-be388c39533d · outbound

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

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:03.478997Z

Source-reported events for the cited work

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Observation dfd816dd-fb3c-4de1-b3c3-7eb83a82862b · outbound

This paper cites SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM),.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM),

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:08.745302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 429f9e1d-8af5-4d15-bcab-517f6c4e8d84 · outbound

This paper cites Wireless InSite.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Wireless InSite

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:08.477993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c718fc6-487d-4661-9bbe-865f7016e4ee · outbound

This paper cites AirSim: High-fidelity visual and physical simulation for autonomous vehicles,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines AirSim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:08.312555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63ca792d-ffe9-4c2d-b794-86a64743bcb5 · outbound

This paper cites M 3SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines M 3SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:08.115743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 525e72e1-6602-448f-8b1c-030bff0eb706 · outbound

This paper cites A multi-modal UA V-to-ground channel model for 6G intelligent sensing-communication integration,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines A multi-modal UA V-to-ground channel model for 6G intelligent sensing-communication integration,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:07.786897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b077cb85-21eb-4cd2-84ea-445dc9e7eb27 · outbound

This paper cites In defense of grid features for visual question answer- ing,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines In defense of grid features for visual question answer- ing,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:07.512565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf43dd22-a013-4353-bd1e-2b69c65b7b0b · outbound

This paper cites Attention is all you need,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Attention is all you need,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:07.191525Z

Source-reported events for the cited work

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Observation 553da315-ac03-4bfa-a2b6-c92a13b5962f · outbound

This paper cites Language models are unsupervised multitask learn- ers,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Language models are unsupervised multitask learn- ers,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:06.922447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f642d140-5670-4e5d-bd7a-5fe285791c2a · outbound

This paper cites Reluplex made more practical: Leaky ReLU,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Reluplex made more practical: Leaky ReLU,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:06.636785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 351f466d-992f-41df-9a69-696ce832b516 · outbound

This paper cites Adam: A method for stochastic optimization,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Adam: A method for stochastic optimization,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:06.340382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b8f9300-6014-42ac-9a68-48ce00d55351 · outbound

This paper cites Multi-modal intelligent channel modeling: A new mod- eling paradigm via Synesthesia of Machines,.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Multi-modal intelligent channel modeling: A new mod- eling paradigm via Synesthesia of Machines,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:44:06.007691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ecbd1a5-ba9a-49db-811d-c3244f0cb670 · outbound

This paper cites an unresolved cited work.

LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:44:05.697439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 19354b7e-eb8c-4321-a40d-53e36b0d0be9 · inbound

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

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:55.863174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e03bc24-f407-4bc6-b3f8-9211c9fbb548 · inbound

WiFo-CF: Wireless Foundation Model for CSI Feedback cites this paper.

WiFo-CF: Wireless Foundation Model for CSI Feedback LLM4SG: Adapting Large Language Model for Scatterer Generation via Synesthesia of Machines

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:56:06.609316Z

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