Paper Citation Record · LEDGER

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2507.17188.

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

pith.paper-citation-record.v1
2507.17188 v4

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

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measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:48:08.135538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:10:29.690438Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy38
unresolved5
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6591baf-54b3-4527-86ce-8ecfbc912450 · outbound

This paper cites What will the future of UA V cellular communications be? A flight from 5G to 6G,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks What will the future of UA V cellular communications be? A flight from 5G to 6G,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.867651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2bc68d19-7a5e-4a88-b9a5-99c858964070 · outbound

This paper cites A tutorial on UA Vs for wireless networks: Applications, challenges, and open problems,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks A tutorial on UA Vs for wireless networks: Applications, challenges, and open problems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.829740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 73b50ed8-130e-4a9f-ad2b-d6e64cb1733b · outbound

This paper cites UA V-enabled secure multiuser backscatter communications with planar array,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks UA V-enabled secure multiuser backscatter communications with planar array,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.803401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0547485e-8866-4cc8-88ba-09af3fd97200 · outbound

This paper cites Covert communication in hybrid microwave/mmwave UA V-enabled systems with transmission mode selection,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Covert communication in hybrid microwave/mmwave UA V-enabled systems with transmission mode selection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.773585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47d07737-6849-4a03-9951-40a4c9475a16 · outbound

This paper cites RSMA- enabled multi-UA V secure communication via MARL with multi-task attention DRNN,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks RSMA- enabled multi-UA V secure communication via MARL with multi-task attention DRNN,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.742689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6203cd11-e71f-491a-b670-00db0b3d85d5 · outbound

This paper cites On the physical layer security of the cooperative rate- splitting-aided downlink in UA V networks,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks On the physical layer security of the cooperative rate- splitting-aided downlink in UA V networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.719863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1dee8e7b-01f0-4799-b195-3c8f24c10b76 · outbound

This paper cites Maximizing network throughput in heterogeneous UA V networks,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Maximizing network throughput in heterogeneous UA V networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.699414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e34aafd9-52a9-473d-b066-f6fff1190fef · outbound

This paper cites Multi-objective optimization approaches for physical layer secure communications based on collaborative beamforming in UA V networks,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Multi-objective optimization approaches for physical layer secure communications based on collaborative beamforming in UA V networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.669659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22ea0ea4-ddca-46dc-8671-92e9b97470c4 · outbound

This paper cites Multi-objective optimization for UA V swarm-assisted iot with virtual antenna arrays,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Multi-objective optimization for UA V swarm-assisted iot with virtual antenna arrays,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.645346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 785fd8bf-fbaf-41a6-9cfa-977a11627b2b · outbound

This paper cites Multi-objective optimization for multi-UA V-assisted mobile edge computing,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Multi-objective optimization for multi-UA V-assisted mobile edge computing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.610620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a26647a-68b2-41e6-a1b7-49bd780c2706 · outbound

This paper cites Multi-objective aerial collaborative secure com- munication optimization via generative diffusion model-enabled deep reinforcement learning,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Multi-objective aerial collaborative secure com- munication optimization via generative diffusion model-enabled deep reinforcement learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.576651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25c637e2-283d-4693-a787-7edb5203a248 · outbound

This paper cites Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UA V-assisted mobile edge computing,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Evolutionary multi-objective reinforcement learning based trajectory control and task offloading in UA V-assisted mobile edge computing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.533282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2450b8cb-5164-43eb-8816-94511308bf11 · outbound

This paper cites Collaborative ground-space communications via evolution- ary multi-objective deep reinforcement learning,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Collaborative ground-space communications via evolution- ary multi-objective deep reinforcement learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.506112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3c134207-df49-4014-a687-54f9f31f1c74 · outbound

This paper cites Large language model based multi-objective optimization for integrated sensing and communications in UA V networks,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Large language model based multi-objective optimization for integrated sensing and communications in UA V networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.484766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56963300-3ecf-41e7-bf7c-e2a805a2f1db · outbound

This paper cites Joint User Association and Beamforming Design for ISAC Networks with Large Language Models.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Joint User Association and Beamforming Design for ISAC Networks with Large Language Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:02:12.757665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6566f442-9313-4bf1-8fc3-d4d60a8f9c59 · outbound

This paper cites LLM-guided DRL for Multi-tier LEO Satellite Networks with Hybrid FSO/RF Links.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks LLM-guided DRL for Multi-tier LEO Satellite Networks with Hybrid FSO/RF Links

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:12.319755Z

Source-reported events for the cited work

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Observation 2b916ce2-2863-457b-be60-3e42e4b48abc · outbound

This paper cites Energy minimization for wireless communication with rotary-wing UA V,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Energy minimization for wireless communication with rotary-wing UA V,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:12.326927Z

Source-reported events for the cited work

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Observation 2a4bbbda-ef8a-4319-8a3b-84703dae2eb4 · outbound

This paper cites Energy efficient UA V commu- nication with energy harvesting,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Energy efficient UA V commu- nication with energy harvesting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.433110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d2af716-ac5c-4e92-ab5e-088d3e8e0b20 · outbound

This paper cites Joint RIS and beamforming design for secure and energy-efficient two-way relay communications,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Joint RIS and beamforming design for secure and energy-efficient two-way relay communications,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.400319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14d8b091-0bab-4101-a829-b31228c012ce · outbound

This paper cites Detecting passive eavesdroppers in the MIMO wiretap channel,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Detecting passive eavesdroppers in the MIMO wiretap channel,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.368882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f96a5040-e1af-41e9-8095-0341c802ba8d · outbound

This paper cites Deep reinforcement learning for RIS-aided multiuser full-duplex secure com- munications with hardware impairments,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Deep reinforcement learning for RIS-aided multiuser full-duplex secure com- munications with hardware impairments,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.338293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f8f0395-db85-4f2e-9a55-49f65cd0a366 · outbound

This paper cites Optimal LAP altitude for maximum coverage,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Optimal LAP altitude for maximum coverage,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:12.371521Z

Source-reported events for the cited work

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Observation c3c80c5d-eaff-4713-bc3f-fd72f479f1f1 · outbound

This paper cites Rate-splitting multiple access: Fundamentals, survey, and future research trends,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Rate-splitting multiple access: Fundamentals, survey, and future research trends,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.295684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 04ce0d60-5bfb-4bed-b555-f29fc8da2532 · outbound

This paper cites Optimization of rate allocation and power control for rate splitting multiple access (RSMA),.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Optimization of rate allocation and power control for rate splitting multiple access (RSMA),

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.273719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94a83f3d-5bdc-4764-951d-45e5ed89348c · outbound

This paper cites Robust transmission in downlink multiuser MISO systems: A rate-splitting approach,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Robust transmission in downlink multiuser MISO systems: A rate-splitting approach,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.243801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3b0b351-05ca-4c50-a170-883b9d98f0f5 · outbound

This paper cites Secrecy rate beamforming for multicell networks with information and energy harvesting,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Secrecy rate beamforming for multicell networks with information and energy harvesting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.215514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 357a4b1b-650f-4905-a81f-9cc6b2d21332 · outbound

This paper cites Robust secure beamforming design for two-user downlink MISO rate-splitting systems,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Robust secure beamforming design for two-user downlink MISO rate-splitting systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.189638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 201092e2-c90f-4033-be8a-565a02272173 · outbound

This paper cites SpaceRIS: LEO satellite coverage maximization in 6G sub-thz networks by MAPPO DRL and whale optimization,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks SpaceRIS: LEO satellite coverage maximization in 6G sub-thz networks by MAPPO DRL and whale optimization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.164510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1faeba7-84a8-484e-a1a5-ae7075d880f6 · outbound

This paper cites Joint deployment and resource allocation for multi-AeBS networks: A two-timescale optimization framework using MADRL,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Joint deployment and resource allocation for multi-AeBS networks: A two-timescale optimization framework using MADRL,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.142791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fcd46737-9870-49f6-9ea2-6a1044586009 · outbound

This paper cites Dynamic role switching scheme with joint trajectory and power control for multi-UA V cooperative secure communication,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Dynamic role switching scheme with joint trajectory and power control for multi-UA V cooperative secure communication,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.115413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 316163bf-0bcd-4fea-aa34-b97970a5ffce · outbound

This paper cites Fast global optimal power allocation in wireless networks by local DC programming,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Fast global optimal power allocation in wireless networks by local DC programming,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.094807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be3fb8e6-35ff-40f8-9a04-1e8750a4fbe1 · outbound

This paper cites Nonsmooth optimization for efficient beamforming in cognitive radio multicast transmission,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Nonsmooth optimization for efficient beamforming in cognitive radio multicast transmission,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.074438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e0c97f2-9a92-42d3-ae87-c73c76fb3d1b · outbound

This paper cites UA V trajectory and beamforming optimization for integrated periodic sensing and communication,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks UA V trajectory and beamforming optimization for integrated periodic sensing and communication,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.048114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b5f489a-01aa-4c6a-96fb-b0269e80ef5b · outbound

This paper cites Joint 3D beamforming-and-trajectory design for UA V- satellite uplink covert communication,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Joint 3D beamforming-and-trajectory design for UA V- satellite uplink covert communication,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:13.006334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 61a540fd-046d-4d37-be76-1107766b1d78 · outbound

This paper cites Joint resource, trajectory, and artificial noise optimization in secure driven 3-D UA Vs with NOMA and imper- fect CSI,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Joint resource, trajectory, and artificial noise optimization in secure driven 3-D UA Vs with NOMA and imper- fect CSI,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:12.967339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8b23836-02bc-4dd1-a761-b14aebbab096 · outbound

This paper cites Power allocation in multi- user cellular networks: Deep reinforcement learning approaches,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Power allocation in multi- user cellular networks: Deep reinforcement learning approaches,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:12.943878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b78cea18-d4d8-4ff1-8885-0088a7f93fc6 · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:12.491563Z

Source-reported events for the cited work

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Observation 08698fa8-619c-467a-a90e-09fc8154a82b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Chain-of-thought prompting elicits reasoning in large language models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:12.921643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b457bdf7-7587-4025-9bb3-36fb22a428d6 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:12.896565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56022cf7-5cc1-47f5-b342-d1129fe51a46 · outbound

This paper cites Stabilizing off- policy Q-learning via bootstrapping error reduction,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Stabilizing off- policy Q-learning via bootstrapping error reduction,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:12.866735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40a7938b-dad4-41b2-b010-45ae3e5eb1ba · outbound

This paper cites Conservative Q-learning for offline reinforcement learning,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Conservative Q-learning for offline reinforcement learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:12.839480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53662ef4-153c-46ba-ae2c-32d889417703 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:12.532480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77baf603-ee04-4f44-8472-6408f4b7a775 · outbound

This paper cites Computation offloading and trajectory planning of multi-UA V-enabled MEC: A knowledge-assisted multiagent reinforcement learning approach,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Computation offloading and trajectory planning of multi-UA V-enabled MEC: A knowledge-assisted multiagent reinforcement learning approach,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:12.815692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b02d05cc-cbf9-4063-83d6-13fccde78a5d · outbound

This paper cites Modelling the scaling properties of human mobility,.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Modelling the scaling properties of human mobility,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:02:12.785395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation cf9ede5d-0ac3-4b1f-ab25-663a4f119305 · inbound

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks

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