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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning

As of 19 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2508.00938.

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pith.paper-citation-record.v1
2508.00938 v1

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measured 50 of 50 reference resolution

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measured 50 of 50 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

50 of 50 outbound references displayed

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Outbound references

Observation 7fa0f461-c2bb-405d-b748-fc50df069362 · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Accurate medium-range global weather forecasting with 3d neural networks,

Reference 1

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This paper cites A survey on time-series pre-trained models,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning A survey on time-series pre-trained models,

Reference 2

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This paper cites Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities

Reference 3

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This paper cites Ocean currents show global intensification of weak tropical cyclones,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Ocean currents show global intensification of weak tropical cyclones,

Reference 4

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Observation 655b24e5-1787-4c33-9b67-fade82a491c4 · outbound

This paper cites El ni˜no–southern oscillation complexity,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning El ni˜no–southern oscillation complexity,

Reference 5

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Observation 17c0e7e1-22cc-49ad-a49c-7f66b5f85de9 · outbound

This paper cites The circulation of the eastern tropical pacific: A review,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning The circulation of the eastern tropical pacific: A review,

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This paper cites Improving language understanding by generative pre-training,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Improving language understanding by generative pre-training,

Reference 7

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning LLaMA: Open and Efficient Foundation Language Models

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This paper cites DeepSeek-V3 Technical Report.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning DeepSeek-V3 Technical Report

Reference 9

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This paper cites Mixed-order relation-aware recurrent neural networks for spatio-temporal forecast- ing,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Mixed-order relation-aware recurrent neural networks for spatio-temporal forecast- ing,

Reference 10

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This paper cites One fits all: Power general time series analysis by pretrained lm,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning One fits all: Power general time series analysis by pretrained lm,

Reference 11

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

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Unitime: A language-empowered unified model for cross-domain time series forecasting,

Reference 12

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Time-LLM: Time series forecasting by reprogramming large language models,

Reference 13

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Position paper: What can large language models tell us about time series analysis,

Reference 14

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Tempo: Prompt-based generative pre-trained transformer for time series forecasting,

Reference 15

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This paper cites Higrn: a hierarchical graph recurrent network for global sea surface temperature prediction,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Higrn: a hierarchical graph recurrent network for global sea surface temperature prediction,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Cross- region graph convolutional network with periodicity shift adaptation for wide-area sst prediction,

Reference 17

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Mustc: A multi-stage spatio–temporal clustering method for uncovering the regionality of global sst,

Reference 18

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Physical knowledge-enhanced deep neural network for sea surface temperature prediction,

Reference 19

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Multi-scale adaptive graph neural network for multivariate time series forecasting,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Causal- former: An interpretable transformer for temporal causal discovery,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning On evaluating the predictability of sea surface temperature using entropy,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning The ecmwf ensemble prediction system: Methodology and validation,

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Observation 257e9cdf-58e1-4c41-8782-89c3490dc4f4 · outbound

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Spatiotemporal attention network for chl-a prediction with sparse multifactor observations,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Multivariate time series forecasting with dynamic graph neural odes,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Informer: Beyond efficient transformer for long sequence time-series forecasting,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Timemixer++: A general time series pattern machine for universal predictive analysis,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Are transformers effective for time series forecasting?

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Frequency-domain mlps are more effective learners in time series forecasting,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Llm4hrs: Llm-based spatiotemporal imputation model for highly sparse remote sensing data,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Urbangpt: Spatio-temporal large language models,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning A foundation model of transcription across human cell types,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Protgpt2 is a deep unsupervised language model for protein design,

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Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning K2: A foundation language model for geoscience knowledge understanding and utilization,

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This paper cites Foundation model for material science,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Foundation model for material science,

Reference 37

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Observation bb933f05-7407-4b0f-aa4a-0cb7e993dcbd · outbound

This paper cites Leveraging network structure for efficient dynamic negative sampling in network embedding,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Leveraging network structure for efficient dynamic negative sampling in network embedding,

Reference 38

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Observation cdb21201-f691-4c42-ad4f-8e115885c0f4 · outbound

This paper cites Fathomgpt: A natural language interface for interactively exploring ocean science data,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Fathomgpt: A natural language interface for interactively exploring ocean science data,

Reference 39

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Observation c0a9daf1-9118-4383-9702-c13a151f3599 · outbound

This paper cites Oceangpt: A large language model for ocean science tasks,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Oceangpt: A large language model for ocean science tasks,

Reference 40

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Observation cd2dfd36-1ed8-4602-a9ad-7e731fe60e27 · outbound

This paper cites Knowledge graph quality management: a compre- hensive survey,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Knowledge graph quality management: a compre- hensive survey,

Reference 41

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Observation 7f14bfd6-083f-4639-9bc3-6b861bcd077e · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Unifying large language models and knowledge graphs: A roadmap,

Reference 42

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Observation 1c01a8f1-e6cc-4b78-83b2-dc9839407c94 · outbound

This paper cites Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks

Reference 43

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Observation f8d52724-afbb-4014-8199-04f107f4aa7c · outbound

This paper cites Knowledge graphs: Opportunities and challenges,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Knowledge graphs: Opportunities and challenges,

Reference 44

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Observation e87f5a1c-4fee-46d1-8ade-5a61a5af14b8 · outbound

This paper cites Uukg: Unified urban knowledge graph dataset for urban spatiotemporal prediction,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Uukg: Unified urban knowledge graph dataset for urban spatiotemporal prediction,

Reference 45

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Observation 4c7b53c9-d699-48c2-b8ed-73a56e033ad9 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 46

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Unavailable: canonical work link unavailable.

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Observation b5c7eafe-4f00-4d31-882b-df63e7a8a9e5 · outbound

This paper cites Knowledge Graph-Guided Retrieval Augmented Generation.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Knowledge Graph-Guided Retrieval Augmented Generation

Reference 47

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Observation 67986563-3c4f-4e55-ba4c-3dfdebe05f5d · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distri- bution shift,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Reversible instance normalization for accurate time-series forecasting against distri- bution shift,

Reference 48

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Observation d2707f32-ae3e-4572-a057-93e7b1ebacc7 · outbound

This paper cites Making large language models perform better in knowledge graph completion,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Making large language models perform better in knowledge graph completion,

Reference 49

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Unavailable: canonical work link unavailable.

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Observation 23f363c9-5b53-4459-9305-c42703a90179 · outbound

This paper cites A decoder-only foundation model for time-series forecasting,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning A decoder-only foundation model for time-series forecasting,

Reference 50

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Pith citing papers

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