Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:55:48.140496Z
Paper Citation Record · LEDGER
Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications
As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2604.09017.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact7
- verified fuzzy51
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.