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Paper Citation Record · LEDGER

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

As of 10 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.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:02:12.548003Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.202202Z digest=sha256:fd757ff18caac96234cfb68cb07059b151a8ee6efd5da85dd753f6298ea3c3c8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.211195Z digest=sha256:880f111f944f2242052bb068ecb8302bc181ecbdf151e9dacd0c869d478b4eee

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.217708Z digest=sha256:b14b940928e032ab603dc1e23c71512c20256c9eaf2630012fb5549f39ca5bfa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.227419Z digest=sha256:85b3dd17eb307c9fe088d72f530d2bf7a44fb5b019d032b91c135c3d850188dc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.235910Z digest=sha256:c6291a6b3e87afd2023d25c24cf9035d4901dc97c3fbbb2e1362cd776c809af8

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.243498Z digest=sha256:a699b38f672f3c4ff6425feaea271b1b8a2f79aee17414b76bf62dcb4e39573a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.248823Z digest=sha256:40419e65c90e0723c7ea38468a1f3674474a668d68c715239ee34a9b5a5b2a85

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.257110Z digest=sha256:8d24ede53197b0d00b0cca3584d79a5023050895391450b56a33be58f8fe16a7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.271395Z digest=sha256:79c23522691034189b81d7a061da62e699bbe05f08308e5e0435872cb831179d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.277546Z digest=sha256:5f057b992e39d5975c78dc7aa756cf6e9f701303fbb30772d46ef372952935f4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.283695Z digest=sha256:d4b18f0c9615dd60275a50142d39f3c1d081229ce451a7bac3fcbdcd013fef30

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.288567Z digest=sha256:b2ccfcd30c7c1222ec8f1fbee40d7c0cfd7f7e470880c1fbeed10a10ab62715e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.298968Z digest=sha256:754720dc9fa0846901c12c55455faa4314d426337ec301d30ab17f609f21071e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.313057Z digest=sha256:f396ce771542e460535e19415b2e44b69d6a855cdd29dda42a86b5c5657966a9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:12.319755Z digest=sha256:f85bd6fb3803bed598c423dfa879ababb3b027ddfc5cb42cfd3cd021fc0494e6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:12.326927Z digest=sha256:f3826b6a293caae6e9a503f41aaa66ecbbc5e3ec8c1c2e915d1ebf917a3cc2bc

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.334769Z digest=sha256:a70a6504a09a6dbc3ce3859d277ac8bd67489841ae02d5ffe23141049b555cac

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.339502Z digest=sha256:b19bcd2fcb8bcaf6c8ff53ffff831ba7f2208ba86e7905922b95c7276c8f5590

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.351428Z digest=sha256:2843e3bf6702c8b59fe925b95f36f3c2b21a0c0abb2ea20e3f2917438e86c7cd

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.356776Z digest=sha256:5828ec0dfb9e71f7e324407dafec36dbed449b704580480172f6b5f75ca84ee7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:12.371521Z digest=sha256:3da6e422bf6a050bd526da029d4192a8b197eb0fc238d356c7acffa84f2f7557

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.378819Z digest=sha256:34f067582bf3108f3ac9ff5ee541784efc17941a314bf3edde283948ea3bc898

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.384819Z digest=sha256:77d0a5269c6ee5bf1c1e9196b5574d2e182022c4d268b950cbc1440d964ca124

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.391260Z digest=sha256:e42303369c681705ffeca97e072db86854fea620078b8ce29cc6e43abf87282d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.397928Z digest=sha256:1647fc7885699ea64cf36c1305521efac0208ee7d12a1fb394c128cef86fb8a8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.408402Z digest=sha256:ef20f70e5b65bf7add4c338b6e8ad5a778632a36a6679c76e361f79c71776020

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.429597Z digest=sha256:d40ba8b832bdf2b1583fd8fff535746984d8fc39af2b43720e607518e4f21e35

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.437294Z digest=sha256:df8a8ec6836e66d31ad86af74523ab4bfc78d75bb46f68ac25c9566db97c648c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.444305Z digest=sha256:8be68613ca0e52e8db84c9375326f71c2acadb62eadfab620b33b4ff8eda0604

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.450064Z digest=sha256:dee5a478686525049f4d5ba82d9d5bca3af8141c25954c9ecf5172738253870a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.457737Z digest=sha256:94a60ad440f50e1c562998bbc819cf87b0a5b5efa42b894ecf00edab78b1af13

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.464010Z digest=sha256:d4fa2446adf54809410766095e07079870d450b8f57ff4078c2fb8bfa4350117

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.470260Z digest=sha256:2c84fe05806ced2a26c79932a732f8675983072f152718aeb18394baf1c506ed

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.474954Z digest=sha256:2159d7d8b6c41752beeaa1faf99c4bd2ab3449d34041bcab8bb36de36d7ed7fc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.481029Z digest=sha256:1b7761f5ddc012af2791a589d41200df8e5b2ddce21320a82073d5be72a9662d

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:12.491563Z digest=sha256:3fcab2cdc2fb0e02cfde0e75a3c3884c00cd6206db141901009e441cae4c6946

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.497435Z digest=sha256:d9a0e119b5240b6a2b681048030dfe5d0db554b18bb3c35d93c68d57caef9983

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.503188Z digest=sha256:15b99faf5c0c10ff9f7da9972263b9ec2037ae0329978d91d5c9de574795a9ca

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.515603Z digest=sha256:7c22787f5917f61291959c7fd1a4679baeae6a0f735797a292e43751e0e3f9e6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.524512Z digest=sha256:4db7cf4b8dfe06fe34fe2bf38ec44f1b9fc9f259c2f21edc7b6a0a2fd47cd975

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.

source=pdf_text observed=2026-08-06T15:02:12.532480Z digest=sha256:50bda48a79fac3d0ae803b38c4cdd602d247c292b2c73db3a531abc1c31b8dbe

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.540229Z digest=sha256:b276a19d62fdc03c757398472c87368aa583975c85cf5b556528fdecebf31ee9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:02:12.548003Z digest=sha256:66fccb80d48a6c8de6b4767c041f99fb5dc69a4fee37a38baf6df4b9b1ca9407

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

Reference 194

Resolution
verified exact
arxiv_id, observed 2026-06-10T02:11:16.263885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T13:48:08.135538Z digest=sha256:06bbe4e32eed6b0dc332135c4eca17f6ef2937e30184813a9cf9a3adc6b9989e