Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:50.132106Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 4 inbound Pith citation observations for arXiv:2506.14532.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:50.132106Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T15:40:22.265468Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T16:33:39.637911Z
29 of 29 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fd5eb4cd-ac12-42bb-8734-2ab66701252c · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Mi llimeter wave communications for future mobile networks,
Reference 1
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.
Observation ec2c293b-f7d1-4a53-a978-8b5a066f8c04 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models A s urvey of beam management for mmwave and thz communications toward s 6g,
Reference 2
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.
Observation e5143b90-3d8c-4012-8d33-9a2a61fc5650 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Deep learning for mmwave beam and blockage prediction using sub-6 ghz channels,
Reference 3
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.
Observation a0d7ffc9-5cb4-4820-9036-63d7afc7a99d · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Computer vision aided beam tr acking in A real-world millimeter wave deployment,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a2260be-59e6-474d-85cd-d4b2bb4b54e7 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Radar aided 6G beam predic tion: Deep learning algorithms and real-world demonstration,
Reference 5
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.
Observation 9f9c449d-52e9-43e7-b1a9-5363d931e551 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models LiDAR aided futur e beam prediction in real-world millimeter wave V2I communicatio ns,
Reference 6
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.
Observation 5be5c806-a9fc-4f9c-8e25-f79970d2382d · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models P osition-aided beam prediction in the real world: How useful GPS locations a ctually are?
Reference 7
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.
Observation 72f4a3b7-b578-42e9-8e06-e5ce0b995b6d · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models GPT-4 Technical Report
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5184ca33-4120-489d-8720-5a08ce0dc788 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90c9f01e-59e7-4240-9765-5cf48a780c7d · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6cccef9-c565-42af-98a2-daf5c6aab758 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Large l anguage models empower multimodal integrated sensing and communic ation,
Reference 11
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.
Observation 56e867be-1561-4113-b009-748c6c824763 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Multimodal d eep learning empowered millimeter-wave beam prediction,
Reference 12
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.
Observation b99ffa39-2da8-4f87-bacb-15c53ab735b7 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df176b4d-a0ea-41d9-b642-ac3c1bfc77d2 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Se nsing- assisted high reliable communication: A transformer-base d beamforming Approach,
Reference 14
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.
Observation e686b91b-1cbe-448b-b256-9685915a2713 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models LIMA: Less is more for alignment,
Reference 15
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.
Observation 06550958-54c5-4028-bd88-2367710a4da3 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models ImageNet: A large-scale fierarchical image database,
Reference 16
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.
Observation 7d9e2a09-b08b-4cfe-9698-fe3646aff5ed · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Deep residual learni ng for image recognition,
Reference 17
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.
Observation 8c7f79f0-15fd-4e78-983a-2476097ea66a · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models High accuracy range estimation of FMCW lev el radar based on the phase of the zero-padded FFT,
Reference 18
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.
Observation 117439e1-3e36-4b9d-a9ad-c813020b889d · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Gradient-based learning applied to document recognition,
Reference 19
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.
Observation 6afab59c-9fad-4de8-9136-14eeefc7e34b · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Multimodal alignment and fusion: A su rvey,
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0af35d52-1787-4a4d-ad09-bc30e1bb3c98 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Learning transferable visual models from natural language supervision,
Reference 21
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.
Observation 99618bce-01a2-46f1-bb36-2d6f4ef00868 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models DeepSense 6G: A large-scale r eal-world multi-modal sensing and communication dataset,
Reference 22
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.
Observation e31cebee-64b8-4bec-9f49-3c5ffdf0f741 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Language models are unsupervised multitask learn- ers,
Reference 23
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.
Observation e5c7f8ab-22b9-451a-a881-e4ea3996817c · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76b9abeb-edbc-485d-9b72-03cf12ada0f6 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Long short-term mem ory,
Reference 25
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.
Observation 74a58bb5-52df-4a47-8573-0a882421938d · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Are transformers e ffective for time series forecasting?
Reference 26
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.
Observation 37046302-6373-4f1f-acc8-d35c91cce22a · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Informer: Beyond efficient transformer for long sequence t ime-series Forecasting,
Reference 27
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.
Observation 7802d9bd-0163-463b-b37b-5e05b10883dc · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Adam: A method for stochastic opt imization,
Reference 28
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.
Observation 5eb057d7-48e9-4a0b-b074-aeb343004f16 · outbound
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Multi-modal transformer and reinforcement learning-bas ed beam man- agement,
Reference 29
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.
Observation 1cf64bad-a523-42a2-a67e-945f815775d6 · inbound
Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e82aaa2a-95c8-4412-8f0e-a40203176bd6 · inbound
Topological sum rule for geometric phases of quantum gates M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48368cbe-0f95-45cf-9390-012488609407 · inbound
NF-TrackLLM: Joint Prediction of UAV Trajectory and Near-Field Beam for LAE XL-MIMO Systems M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
Reference 8
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.
Observation 757e0fba-c084-49f2-a905-49dd6ea45fc1 · inbound
M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.