Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications | Paper Citation Record

Observation ddff0b83-2bc5-41c1-9bbb-03e68685b140 · outbound

This paper cites Survey on near-space information networks: Channel modeling, transmission, and networking perspectives.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Survey on near-space information networks: Channel modeling, transmission, and networking perspectives

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.754323Z

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Observation a31f9e91-3128-4094-9bb4-ab91879e9c6c · outbound

This paper cites Combined control of coverage area and HAPS deployment in hybrid FSO/RF SAGIN.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Combined control of coverage area and HAPS deployment in hybrid FSO/RF SAGIN

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.859874Z

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Observation eae94ec6-2aeb-4797-9d39-5ac96d389cc7 · outbound

This paper cites NOMA- oriented spectrum sensing for joint HAP and HEO nonterrestrial uplink communications.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications NOMA- oriented spectrum sensing for joint HAP and HEO nonterrestrial uplink communications

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.736987Z

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Observation a91ca30b-aac4-4f51-a103-c155f9335493 · outbound

This paper cites Aerial ISAC: A HAPS-assisted integrated sensing, communications and computing framework for enhanced coverage and security.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Aerial ISAC: A HAPS-assisted integrated sensing, communications and computing framework for enhanced coverage and security

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.823876Z

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Observation fb9ec9aa-b8d5-40ee-aacf-bf08b1e8234f · outbound

This paper cites Mobility- aware multicast orchestration for low-altitude UA Vs with integrated terrestrial and non-terrestrial networks.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Mobility- aware multicast orchestration for low-altitude UA Vs with integrated terrestrial and non-terrestrial networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.786919Z

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Observation 79d551fb-6187-43c5-9c63-7a6f670d620f · outbound

This paper cites Survey on HA2G and A2A channel measurement and modeling for airborne maneuvering networks.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Survey on HA2G and A2A channel measurement and modeling for airborne maneuvering networks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:15:47.661586Z

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Observation b91327cf-2e51-4b9a-a05a-ab9a7e4a79c0 · outbound

This paper cites Optimizing network performance and resource allocation in HAPS-UA V integrated sensing and communication systems for 6G.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Optimizing network performance and resource allocation in HAPS-UA V integrated sensing and communication systems for 6G

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.793036Z

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Observation f012b532-0f0c-48e3-8ced-9b08f6118e24 · outbound

This paper cites Sustainable UA V mobility support in integrated terrestrial and non-terrestrial networks.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Sustainable UA V mobility support in integrated terrestrial and non-terrestrial networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.836673Z

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Observation 7b73d225-8f6f-4025-96ca-e71e481d5ae3 · outbound

This paper cites Deep joint semantic coding and beamforming for near-space airship- borne massive MIMO network.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Deep joint semantic coding and beamforming for near-space airship- borne massive MIMO network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.820844Z

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Observation 1b527533-0d51-4a0b-9e70-5d500da1ad6c · outbound

This paper cites Spatially sparse precoding in millimeter wave MIMO systems.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Spatially sparse precoding in millimeter wave MIMO systems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.745633Z

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Observation 1431711f-284f-4ac4-844b-7cb742272517 · outbound

This paper cites Hybrid digital and analog beamforming design for large-scale antenna arrays.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Hybrid digital and analog beamforming design for large-scale antenna arrays

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.830035Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6225096-7fc5-4e0a-8cd5-ca69ea507be8 · outbound

This paper cites A generalized pointing error model for FSO links with fixed-wing UA Vs for 6G: Analysis and trajectory optimization.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications A generalized pointing error model for FSO links with fixed-wing UA Vs for 6G: Analysis and trajectory optimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.783676Z

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Observation a9aeaca3-70c0-4182-bcd0-b61447210d97 · outbound

This paper cites Robust beamforming for UA V communication with jittering effects.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Robust beamforming for UA V communication with jittering effects

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.773876Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e2ef9bb-568d-4549-9489-2ef560acc3b0 · outbound

This paper cites A survey of beam management for mmwave and THz communications towards 6G.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications A survey of beam management for mmwave and THz communications towards 6G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.777057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a612fca-f3b3-48fa-9f62-6ee23949a73d · outbound

This paper cites When future communications shift toward narrow beams: A forward looking survey on pointing errors and alignment limits.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications When future communications shift toward narrow beams: A forward looking survey on pointing errors and alignment limits

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:51:02.050350Z

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Observation 9f2fe282-601a-4171-ad9f-68bc9c46e028 · outbound

This paper cites Reliable beam tracking on high-altitude platform for millimeter wave high-speed railway.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Reliable beam tracking on high-altitude platform for millimeter wave high-speed railway

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.845474Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b2e612d-25a7-4175-ac8e-d057acc278ad · outbound

This paper cites GPS-aided deep learning for beam prediction and tracking in UA V mmwave communication.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications GPS-aided deep learning for beam prediction and tracking in UA V mmwave communication

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.856870Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f69d53c3-9df9-41b3-be5d-dba6453f498c · outbound

This paper cites Combating beam misalignment in mmwave UA V networks: An attitude compensation- based method.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Combating beam misalignment in mmwave UA V networks: An attitude compensation- based method

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.770994Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c028ed95-7523-4064-94d5-d36171d6482c · outbound

This paper cites WirelessLLM: Empowering large language models towards wireless intelligence.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications WirelessLLM: Empowering large language models towards wireless intelligence

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.780367Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fbea2b94-07a2-4fe2-acd7-9bbc35a06fb4 · outbound

This paper cites TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:51:02.066761Z

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Observation 11579c1c-83cb-4e7d-ad1c-8ececa19d7a7 · outbound

This paper cites Telecom Language Models: Must They Be Large?.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Telecom Language Models: Must They Be Large?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:51:02.070696Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cc5f55c-f4d5-4a9a-a1a9-06440e0f34dc · outbound

This paper cites Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:51:02.032030Z

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Observation 2f663fc3-4fa7-4656-8694-0532e1dd0353 · outbound

This paper cites Generative AI agents with large language model for satellite networks via a mixture of experts transmission.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Generative AI agents with large language model for satellite networks via a mixture of experts transmission

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.833563Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9362fe99-9031-480b-8a83-aa642f20fa4e · outbound

This paper cites Large models for aerial edges: An edge-cloud model evolution and communication paradigm.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Large models for aerial edges: An edge-cloud model evolution and communication paradigm

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.865671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d5efc01-cca8-404f-9f3a-6aef89818c5e · outbound

This paper cites APEG: Adaptive physical layer authentication with channel extrapolation and generative AI.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications APEG: Adaptive physical layer authentication with channel extrapolation and generative AI

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.839591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32b20c45-cd64-402c-ae1e-355c07356da3 · outbound

This paper cites WMMSE-based joint transceiver design for multi-RIS-assisted cell-free networks using hybrid CSI.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications WMMSE-based joint transceiver design for multi-RIS-assisted cell-free networks using hybrid CSI

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.761490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b926ae1-d027-4554-8c6c-c91d8c5e85b9 · outbound

This paper cites Model-driven distributed WMMSE for downlink massive MIMO systems.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Model-driven distributed WMMSE for downlink massive MIMO systems

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.764698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e9f561e-7306-4931-9f4a-86b140d42a19 · outbound

This paper cites Enhancing WMMSE with EVM feedback through bayesian optimization.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Enhancing WMMSE with EVM feedback through bayesian optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.742936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7babe4c-d80d-4ecb-9ee2-6b6ba8830a26 · outbound

This paper cites Joint robust beamforming design for RIS-assisted ISAC systems with hardware impairments.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Joint robust beamforming design for RIS-assisted ISAC systems with hardware impairments

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.790057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3366287-d372-4c37-8d92-d885c957d792 · outbound

This paper cites Joint optimization of multi-beam configuration and resource allocation for low-earth orbit satellites.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Joint optimization of multi-beam configuration and resource allocation for low-earth orbit satellites

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.803922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca10b02d-8bde-4f58-b669-cd94edf5cdbc · outbound

This paper cites Distilling knowledge from resource management algorithms to neural networks: A unified training assistance approach.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Distilling knowledge from resource management algorithms to neural networks: A unified training assistance approach

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.798525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec8f81c7-5500-4f79-9fbd-4398e8179418 · outbound

This paper cites Beamforming for pinching antenna systems (PASS): KKT-guided large model learning.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Beamforming for pinching antenna systems (PASS): KKT-guided large model learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.731101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 794ebecd-4b81-4753-ae8a-3c036a98ef8c · outbound

This paper cites Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:51:02.074569Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7058cc9a-e319-4dc7-8fb8-916b355ab56b · outbound

This paper cites HoP: Homeomorphic Polar Learning for Hard Constrained Optimization.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications HoP: Homeomorphic Polar Learning for Hard Constrained Optimization

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:51:02.019238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80f8516d-3c02-4cb1-85cd-e3f822fc7dec · outbound

This paper cites UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:51:02.007824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1dc4f63-b171-453f-8a2e-d33be0628067 · outbound

This paper cites Time-LLM: Time series forecasting by reprogramming large language models.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Time-LLM: Time series forecasting by reprogramming large language models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.751487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fa17076-6232-4423-a6f3-8753949d7865 · outbound

This paper cites Beam prediction based on large language models.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Beam prediction based on large language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.814519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d5098b2-ae4a-4dbb-acc6-9dad862a39d6 · outbound

This paper cites UniTime: A language-empowered unified model for cross-domain time series forecasting.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications UniTime: A language-empowered unified model for cross-domain time series forecasting

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.801171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d342efa5-d253-481a-a05f-d2f8f9fe1e60 · outbound

This paper cites Timemixer++: A general time series pattern machine for universal predictive analysis.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Timemixer++: A general time series pattern machine for universal predictive analysis

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.806509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82910313-6a10-4f5d-8edd-9d0ddfe26906 · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.854079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 994a0357-58bd-4e6d-a641-529d414e4442 · outbound

This paper cites An image is worth 16×16 words: Transformers for image recognition at scale.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications An image is worth 16×16 words: Transformers for image recognition at scale

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.851146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54fec036-1391-45db-9566-951b9784097d · outbound

This paper cites CuIoT: Advancing Network Connectivity with Motif Knowledge-Centric for Robust Topology.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications CuIoT: Advancing Network Connectivity with Motif Knowledge-Centric for Robust Topology

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.809269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8321010-1d72-44f6-82a4-c8fae5cdcd45 · outbound

This paper cites LEGO- Motif: Enhancing IoT topology robustness with evolutionary motif-based generation.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications LEGO- Motif: Enhancing IoT topology robustness with evolutionary motif-based generation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.728280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation edbbe6fc-d45e-4c36-a943-7b74fb148b4f · outbound

This paper cites Fast robustness enhancement for dynamic IIoT topology with adaptive bayesian learning.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Fast robustness enhancement for dynamic IIoT topology with adaptive bayesian learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.733870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f7b0b8cd-e8cc-4c5d-9efa-09af84e5511b · outbound

This paper cites A distributed co-evolutionary optimization method with motif for large- scale IoT robustness.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications A distributed co-evolutionary optimization method with motif for large- scale IoT robustness

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.842657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ecb014c-5196-446f-b9bd-93f2ba80969b · outbound

This paper cites Robust beam control for terahertz drone networks.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Robust beam control for terahertz drone networks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.767941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdc0784b-2a04-49e3-9146-894cf0534083 · outbound

This paper cites Learning with 3D rotations, a hitchhiker’s guide to SO(3).

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Learning with 3D rotations, a hitchhiker’s guide to SO(3)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.748675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41d8bf9a-0f84-472c-9a4c-9c9173c63332 · outbound

This paper cites A general framework for multi- step ahead adaptive conformal heteroscedastic time series forecasting.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications A general framework for multi- step ahead adaptive conformal heteroscedastic time series forecasting

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.740045Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ef5123c-d636-413e-a789-5fe2a5db4495 · outbound

This paper cites Adaptive hybrid beamforming for UA V mmwave communications against asymmetric jitter.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Adaptive hybrid beamforming for UA V mmwave communications against asymmetric jitter

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.848416Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c679888d-6195-480b-962e-a4e2eb2a4b86 · outbound

This paper cites SINR maximizing distributionally robust adaptive beamforming.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications SINR maximizing distributionally robust adaptive beamforming

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.862703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 630c2050-190b-4497-a535-d8fb082025ed · outbound

This paper cites Radiorchestra: Proactive management of millimeter-wave self-backhauled small cells via joint optimization of beamforming, user association, rate selection, and admission control.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Radiorchestra: Proactive management of millimeter-wave self-backhauled small cells via joint optimization of beamforming, user association, rate selection, and admission control

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.877559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32154fef-1106-4a43-bb11-3238469d12c5 · outbound

This paper cites Radio resource management de- sign for RSMA: Optimization of beamforming, user admission, and discrete/continuous rates with imperfect SIC.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Radio resource management de- sign for RSMA: Optimization of beamforming, user admission, and discrete/continuous rates with imperfect SIC

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.868669Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba18d3de-c45b-40ff-956f-5a717318cfea · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.795667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee6427c4-e56f-45a0-a302-1bb20b1d28f7 · outbound

This paper cites Conformalized quantile regression.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Conformalized quantile regression

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.874429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d65d869-4def-40e9-84f1-19b083180faa · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications A time series is worth 64 words: Long-term forecasting with transformers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.811903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d3a86ff-14ab-47b7-89e7-abd6f03b189d · outbound

This paper cites A MAPPO based scheme for joint resource allocation in UA V assisted MEC networks.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications A MAPPO based scheme for joint resource allocation in UA V assisted MEC networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.757338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 941156d1-fa0c-4813-8ae2-e646d0e387ae · outbound

This paper cites Generative AI-driven reinforcement learning for beamforming and scheduling in multi-cell MIMO-NOMA systems.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Generative AI-driven reinforcement learning for beamforming and scheduling in multi-cell MIMO-NOMA systems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.826762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64cadff2-d25e-408f-83d1-976a212c5d23 · outbound

This paper cites A denoising diffusion probabilistic model-based digital twinning of ISAC MIMO channel.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications A denoising diffusion probabilistic model-based digital twinning of ISAC MIMO channel

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.817375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation daddfb19-0910-4ab5-90ed-78bb4278c911 · outbound

This paper cites Generative AI-enabled wireless communications for robust low-altitude economy networking.

Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications Generative AI-enabled wireless communications for robust low-altitude economy networking

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:54:36.871771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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