Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T17:01:39.464118Z
Paper Citation Record · LEDGER
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems
As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2604.09015.
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 2026-08-07T06:34:17.273281+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
57 of 57 outbound references displayed
- verified exact5
- verified fuzzy50
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e6563307-7333-4133-9340-f8edf3573ff3 · outbound
This paper cites Enhancing next-generation urban connectivity: Is the integrated HAPS-terrestrial network a solution?.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Enhancing next-generation urban connectivity: Is the integrated HAPS-terrestrial network a solution?
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.772734Z
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 65255d14-d75e-41a7-b4be-5a923ef730db · outbound
This paper cites Space-air-ground integrated wireless networks for 6G: Basics, key technologies, and future trends.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Space-air-ground integrated wireless networks for 6G: Basics, key technologies, and future trends
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.752753Z
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 aee99e90-e0f0-4bd5-95cb-68dffe6b5a67 · outbound
This paper cites Survey on near-space information networks: Channel modeling, networking, and transmission perspectives.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Survey on near-space information networks: Channel modeling, networking, and transmission perspectives
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T17:05:39.232714Z
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 cc70ac27-93d8-4603-8d52-42a20f2d3d8f · outbound
This paper cites Toward RIS-enhanced inte- grated terrestrial/non-terrestrial connectivity in 6G.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Toward RIS-enhanced inte- grated terrestrial/non-terrestrial connectivity in 6G
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.748373Z
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 3311c22c-b54e-4807-bfd9-3c4932f7dcb7 · outbound
This paper cites Near-space communications: The last piece of 6G space–air–ground–sea integrated network puzzle.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Near-space communications: The last piece of 6G space–air–ground–sea integrated network puzzle
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.766217Z
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 d43e56b8-451b-4334-b818-3a8f25ffdf96 · outbound
This paper cites Survey on HA2G and A2A channel measurement and modeling for airborne maneuvering networks.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Survey on HA2G and A2A channel measurement and modeling for airborne maneuvering networks
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:05:39.227960Z
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 ed38ea91-6160-476d-b68f-b1ad4f957755 · outbound
This paper cites Deep joint semantic coding and beamforming for near-space airship- borne massive MIMO network.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Deep joint semantic coding and beamforming for near-space airship- borne massive MIMO network
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.707590Z
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 1136b8eb-b03f-4f41-976e-e3a5c43f1f59 · outbound
This paper cites Reliability and delay analysis of 3-dimensional networks with multi-connectivity: Satellite, HAPs, and cellular communications.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Reliability and delay analysis of 3-dimensional networks with multi-connectivity: Satellite, HAPs, and cellular communications
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.714525Z
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 2d5c7f5f-c981-41d7-918e-9b8fb26258d8 · outbound
This paper cites Joint optimization of caching, computing, and trajectory planning in aerial mobile edge computing networks: An MADDPG approach.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Joint optimization of caching, computing, and trajectory planning in aerial mobile edge computing networks: An MADDPG approach
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.741201Z
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 458a3be7-cc77-4b68-9cc1-9c8660ff192e · outbound
This paper cites Robust multiuser beamforming for IRS-enhanced near-space downlink communications coexisting with satellite system.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Robust multiuser beamforming for IRS-enhanced near-space downlink communications coexisting with satellite system
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.798594Z
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 1ecb2aa6-7276-4af1-8944-ffac453e5e85 · outbound
This paper cites Joint user association and beam- forming in integrated satellite-HAPS-ground networks.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Joint user association and beam- forming in integrated satellite-HAPS-ground networks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.788719Z
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 801a9433-bd27-4784-8508-49e72f7626a3 · outbound
This paper cites Uplink multiple access with semi-grant-free transmission in inte- grated satellite-aerial-terrestrial networks.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Uplink multiple access with semi-grant-free transmission in inte- grated satellite-aerial-terrestrial networks
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.775837Z
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 aa96937e-2514-47d2-845b-f1116fdae6ad · outbound
This paper cites Energy efficiency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based approach.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Energy efficiency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based approach
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.744563Z
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 28e9ac5e-0f70-4869-8745-46aef9f5452c · outbound
This paper cites Power allocation and performance evaluation for NOMA-aided in- tegrated satellite-HAP-terrestrial networks under practical limitations.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Power allocation and performance evaluation for NOMA-aided in- tegrated satellite-HAP-terrestrial networks under practical limitations
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.737656Z
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 9aaeff75-5a71-4a31-991e-63c752f25a39 · outbound
This paper cites Generative AI-powered aerial access networks: Recent studies and future outlook.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Generative AI-powered aerial access networks: Recent studies and future outlook
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.689886Z
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 406a73e7-a8d7-453b-8a7a-1c7a2dfd50b6 · outbound
This paper cites AI-based mobility-aware energy efficient resource allocation and trajectory design for NFV enabled aerial networks.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems AI-based mobility-aware energy efficient resource allocation and trajectory design for NFV enabled aerial networks
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.700660Z
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 9370c8bc-157a-479c-9243-25389b3a0c8d · outbound
This paper cites Spatial path analysis for high-altitude solar-powered airship with maximum net energy.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Spatial path analysis for high-altitude solar-powered airship with maximum net energy
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.674355Z
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 5bf37a52-30a5-4388-b25f-8f18eeead550 · outbound
This paper cites Multidisciplinary design of high altitude airship based on solar energy optimization.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Multidisciplinary design of high altitude airship based on solar energy optimization
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.653445Z
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 5c1664eb-4e89-4d06-835e-a94f249583f4 · outbound
This paper cites High-altitude airship propulsion system optimal design and experiment based on energy balance.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems High-altitude airship propulsion system optimal design and experiment based on energy balance
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.697504Z
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 425d44bc-4604-48cf-ac0f-bb4048e6c02d · outbound
This paper cites A novel multi- fidelity optimization framework for high-altitude propellers.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems A novel multi- fidelity optimization framework for high-altitude propellers
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.717558Z
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 947cf732-240c-4281-8aa6-65e7b14ea8fd · outbound
This paper cites Uncertainty quantifica- tion study of the aerodynamic performance of high-altitude propellers.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Uncertainty quantifica- tion study of the aerodynamic performance of high-altitude propellers
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.685855Z
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 5aa417a3-2d89-458f-a8ab-019a4716c16a · outbound
This paper cites A rule-based online energy management strategy for long-endurance stratospheric airships.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems A rule-based online energy management strategy for long-endurance stratospheric airships
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.663044Z
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 a53c8227-d790-48ed-a3ad-e4be2cd5bbce · outbound
This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:44:37.129111Z
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 612a8939-7e8b-4595-984a-e804ce474b87 · outbound
This paper cites Empowering biomedical discov- ery with AI agents.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Empowering biomedical discov- ery with AI agents
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.670783Z
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 6e2d88e1-d47a-4dce-8787-7c1ec590500a · outbound
This paper cites Making Network Configuration Human Friendly.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Making Network Configuration Human Friendly
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:41:01.292799Z
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 859b7cec-695a-4b1f-88d2-0c9ff62e7c01 · outbound
This paper cites Autohma-llm: Efficient task coordination and execution in heterogeneous multi-agent systems using hybrid large language models.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Autohma-llm: Efficient task coordination and execution in heterogeneous multi-agent systems using hybrid large language models
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.641351Z
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 e7ffa49c-dfa0-410f-ad64-99ae63fc9e83 · outbound
This paper cites Managing linux servers with LLM-based AI agents: An empirical evaluation with GPT4.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Managing linux servers with LLM-based AI agents: An empirical evaluation with GPT4
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.659280Z
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 85697391-77d9-4efc-a698-88152834f0de · outbound
This paper cites Interactive AI with retrieval-augmented generation for next generation networking.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Interactive AI with retrieval-augmented generation for next generation networking
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.720905Z
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 2fbc1996-024b-46b7-a81b-5ba660eef0be · outbound
This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems The Rise and Potential of Large Language Model Based Agents: A Survey
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:48:03.736032Z
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 9d2fd5ed-e9f3-44ad-b742-07e8ffd19684 · outbound
This paper cites A figure of merit based computational heat transfer method for aerothermal analysis of airborne electronics system lru.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems A figure of merit based computational heat transfer method for aerothermal analysis of airborne electronics system lru
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.693515Z
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 f0344234-1e28-48e4-906e-c703ea2d3ddd · outbound
This paper cites A non-stationary 3-D wideband channel model for intelligent reflecting surface-assisted HAP-MIMO communication systems.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems A non-stationary 3-D wideband channel model for intelligent reflecting surface-assisted HAP-MIMO communication systems
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.677755Z
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 11f44df9-cebb-4d27-8112-e0bdf49f8030 · outbound
This paper cites MIMO- NOMA enabled sectorized cylindrical massive antenna array for HAPS with spatially correlated channels.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems MIMO- NOMA enabled sectorized cylindrical massive antenna array for HAPS with spatially correlated channels
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.681787Z
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 8f7a4226-389e-4f54-8c01-07b233d61e0c · outbound
This paper cites Integration of los MIMO RF and optical links via HAPS for high-capacity satellite feeder links.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Integration of los MIMO RF and optical links via HAPS for high-capacity satellite feeder links
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.667003Z
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 c02ff11b-6cba-4947-98b6-49295f679cc4 · outbound
This paper cites Data-driven deep learning based hybrid beamforming for aerial massive MIMO-OFDM systems with implicit CSI.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Data-driven deep learning based hybrid beamforming for aerial massive MIMO-OFDM systems with implicit CSI
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.649681Z
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 0a52865d-ba02-4d16-bc46-abb9b06ac54b · outbound
This paper cites QoS-aware precoding in downlink massive MIMO LEO satellite communications.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems QoS-aware precoding in downlink massive MIMO LEO satellite communications
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.795515Z
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 2856bc2c-f695-4779-a3bc-2c05803e817e · outbound
This paper cites Beam squint-aware integrated sensing and communications for hybrid massive MIMO LEO satellite systems.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Beam squint-aware integrated sensing and communications for hybrid massive MIMO LEO satellite systems
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.801791Z
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 f03ca092-04d9-4d77-8bec-60c6005ac891 · outbound
This paper cites Uxnb-enabled cell-free massive MIMO with HAPS-assisted sub-THz backhauling.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Uxnb-enabled cell-free massive MIMO with HAPS-assisted sub-THz backhauling
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.785561Z
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 873eac01-e171-41a4-96cf-41c7a04db903 · outbound
This paper cites A survey of recent advances in optimization methods for wireless communications.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems A survey of recent advances in optimization methods for wireless communications
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.778886Z
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 784578a7-2ccc-4855-8864-4d3e487ee021 · outbound
This paper cites Beamforming design using UE positions and 3D terrain-building in HAPS system.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Beamforming design using UE positions and 3D terrain-building in HAPS system
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.711047Z
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 4a3ba11a-dbce-4430-b4a4-75256ee819a4 · outbound
This paper cites Hemispherical mas- sive MIMO architecture for high-altitude platform station (HAPS).
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Hemispherical mas- sive MIMO architecture for high-altitude platform station (HAPS)
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.704199Z
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 f16b86ea-8d95-47f5-b475-22ca36efc91b · outbound
This paper cites Energy sustainability in dense radio access networks via high altitude platform stations.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Energy sustainability in dense radio access networks via high altitude platform stations
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.645785Z
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 ea481a8c-25b9-4af1-9643-41f4bfc5cf11 · outbound
This paper cites Stratospheric wind field feature extraction and energy management for hybrid electric solar airship with deep reinforcement learning.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Stratospheric wind field feature extraction and energy management for hybrid electric solar airship with deep reinforcement learning
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.629734Z
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 511c8bc8-4a7f-4980-a67e-a2f7deb7a6e4 · outbound
This paper cites High-altitude airship variable-pitch propeller performance analysis at multiple altitudes.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems High-altitude airship variable-pitch propeller performance analysis at multiple altitudes
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.633553Z
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 fb563402-1cff-4b9a-a362-05f871433752 · outbound
This paper cites Station-keeping HAPS mission through optimal sprint and drift trajectories.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Station-keeping HAPS mission through optimal sprint and drift trajectories
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.637272Z
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 8361ffdc-92d7-411d-81e9-5fa41a177983 · outbound
This paper cites Stratospheric airship trajectory planning in wind field using deep reinforcement learning.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Stratospheric airship trajectory planning in wind field using deep reinforcement learning
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.624118Z
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 2e1b1562-909d-4785-8b72-27435fa4c5d8 · outbound
This paper cites Conceptual design and feasibility study of winged hybrid airship.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Conceptual design and feasibility study of winged hybrid airship
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.782302Z
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 0da50f6a-e1ae-40c8-acbd-942cdf71fc4d · outbound
This paper cites an unresolved cited work.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T12:24:35.805095Z
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 f26f292c-0ff3-4a3d-b85a-654f6d18b4e2 · outbound
This paper cites Estimation of volumetric drag coefficient of two-dimensional body of revolution.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Estimation of volumetric drag coefficient of two-dimensional body of revolution
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.759482Z
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 1a059b04-cdb9-4c45-94e1-8953856626b7 · outbound
This paper cites A comparative study of conventional and tri-lobed stratospheric airships.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems A comparative study of conventional and tri-lobed stratospheric airships
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.762810Z
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 cb751552-a3c5-4013-b470-ab0b9dea6fad · outbound
This paper cites Assessment of the effectiveness of stall delay and tip loss corrections for the simulation of small propeller performance with virtual blade model.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Assessment of the effectiveness of stall delay and tip loss corrections for the simulation of small propeller performance with virtual blade model
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.734176Z
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 24a7160c-00e9-4c89-af3f-f562fff8291f · outbound
This paper cites A function improving tip loss correction of blade-element momentum theory for wind turbines.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems A function improving tip loss correction of blade-element momentum theory for wind turbines
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.724015Z
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 cb1fb67d-d202-42d5-bd3d-57403b4dc4c0 · outbound
This paper cites Lexicographic multi-objective mpc for constrained nonlinear systems with changing objective prioritization.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Lexicographic multi-objective mpc for constrained nonlinear systems with changing objective prioritization
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.769605Z
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 5ca74399-f3a7-416b-84a1-7d6dc9badeff · outbound
This paper cites Adaptive subarray segmentation: A new paradigm of spatial non- stationary near-field channel estimation for xl-mimo systems.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Adaptive subarray segmentation: A new paradigm of spatial non- stationary near-field channel estimation for xl-mimo systems
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T17:05:39.222933Z
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 55822376-44b6-4d49-bcec-ed1658373a50 · outbound
This paper cites HAPS-based interference suppression through null broadening with directivity control in space-air-ground integrated net- works.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems HAPS-based interference suppression through null broadening with directivity control in space-air-ground integrated net- works
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.727335Z
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 c6e39b53-464f-4a8c-984f-13a231a31df9 · outbound
This paper cites Movable cell- free massive mimo for high-speed train communications: A ppo-based antenna position optimization.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Movable cell- free massive mimo for high-speed train communications: A ppo-based antenna position optimization
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.792265Z
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 8d553f65-61a1-49f8-96d2-3447ac259164 · outbound
This paper cites Multi-UA V-aided power-up and data collection: Multi-agent DQL with genetic algorithm approach.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Multi-UA V-aided power-up and data collection: Multi-agent DQL with genetic algorithm approach
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.756215Z
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 fddade75-c556-4b59-9c9c-c5ba585fb970 · outbound
This paper cites Cellular network from the sky: Toward people-centered smart communities.
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems Cellular network from the sky: Toward people-centered smart communities
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:24:35.730663Z
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.
Pith citing papers
No inbound Pith citation observations are available.