Blockchain Meets LLMs: A Living Survey on Bidirectional Integration | Paper Citation Record

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This paper cites Assessing the utility of multimodal large language models (gpt-4 vi- sion and large language and vision assistant) in identifyin g melanoma across different skin tones,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Assessing the utility of multimodal large language models (gpt-4 vi- sion and large language and vision assistant) in identifyin g melanoma across different skin tones,

Reference 1

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This paper cites Language models can explain neurons in language models,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Language models can explain neurons in language models,

Reference 2

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This paper cites Git-mol: A multi-modal large language model for molecular science with graph, im- age, and text,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Git-mol: A multi-modal large language model for molecular science with graph, im- age, and text,

Reference 3

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Gemini: A Family of Highly Capable Multimodal Models

Reference 4

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This paper cites Extract- ing training data from diffusion models,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Extract- ing training data from diffusion models,

Reference 5

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This paper cites Attention is not all you need: the complicate d case of ethically using large language models in healthcare and medicine,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Attention is not all you need: the complicate d case of ethically using large language models in healthcare and medicine,

Reference 6

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This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 7

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This paper cites Blockcha in technology in supply chain operations: Applications, chal - lenges and research opportunities,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Blockcha in technology in supply chain operations: Applications, chal - lenges and research opportunities,

Reference 8

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Observation a9125c97-ed38-467d-9332-cfc56e2afbcd · outbound

This paper cites Blockchain for cybersecurity in edge networks,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Blockchain for cybersecurity in edge networks,

Reference 9

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This paper cites A systematic review of blockchain scalability: Issues, solutions, analysis and f uture research,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration A systematic review of blockchain scalability: Issues, solutions, analysis and f uture research,

Reference 10

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Observation d84c32eb-6ef0-4ab0-9610-1bdade092884 · outbound

This paper cites Blockchained on-device federated learning,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Blockchained on-device federated learning,

Reference 11

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This paper cites Bafﬂe: Blockchain based ag - gregator free federated learning,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Bafﬂe: Blockchain based ag - gregator free federated learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.625325Z

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Observation 822f936e-c79a-4376-95db-25a8ebf371ba · outbound

This paper cites Fedstellar: A platform for decentralized federated learn ing,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Fedstellar: A platform for decentralized federated learn ing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.618903Z

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This paper cites Vdfchain: Secure and veriﬁable decentralized federated learning via commit tee- based blockchain,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Vdfchain: Secure and veriﬁable decentralized federated learning via commit tee- based blockchain,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.610718Z

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This paper cites Decentralized federated learning through prox y model sharing,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Decentralized federated learning through prox y model sharing,

Reference 15

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This paper cites Incentive mechanism design for joint resource allocation in blockcha in- based federated learning,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Incentive mechanism design for joint resource allocation in blockcha in- based federated learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.593350Z

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This paper cites Incentive mechanism design for federated learning: A two- stage stackelberg game approach,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Incentive mechanism design for federated learning: A two- stage stackelberg game approach,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.584425Z

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This paper cites Fdﬂ: Fair and discrepancy-aware incentive mechanism for federated learning,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Fdﬂ: Fair and discrepancy-aware incentive mechanism for federated learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.575511Z

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Observation 9d8cec2c-0c38-4ad6-a424-5e96e7bd68eb · outbound

This paper cites The use of blockchain to support distributed ai implementation in iot systems,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration The use of blockchain to support distributed ai implementation in iot systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.568417Z

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This paper cites Efﬁcient and scalable reinforcement learning for large-scale netwo rk control,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Efﬁcient and scalable reinforcement learning for large-scale netwo rk control,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.561319Z

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This paper cites GradientCoin: A Peer-to-Peer Decentralized Large Language Models.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration GradientCoin: A Peer-to-Peer Decentralized Large Language Models

Reference 21

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This paper cites opML: Optimistic Machine Learning on Blockchain.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration opML: Optimistic Machine Learning on Blockchain

Reference 22

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This paper cites Smartvm: A smart contract virtual machine for fast on- chain dnn computations,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Smartvm: A smart contract virtual machine for fast on- chain dnn computations,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.551715Z

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This paper cites Unveiling the potential of chatgpt in detecting machine unauditable bugs in smart contracts: A preliminary evaluation and categorizat ion,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Unveiling the potential of chatgpt in detecting machine unauditable bugs in smart contracts: A preliminary evaluation and categorizat ion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.533562Z

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Observation f4d25866-792e-4bf0-8d0e-ea4691ab7d07 · outbound

This paper cites Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 26

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Observation 9b767fa9-a990-42cc-8ce3-78ebf9aaa2a1 · outbound

This paper cites AuditGPT: Auditing Smart Contracts with ChatGPT.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration AuditGPT: Auditing Smart Contracts with ChatGPT

Reference 28

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This paper cites SC-Bench: A Large-Scale Dataset for Smart Contract Auditing.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration SC-Bench: A Large-Scale Dataset for Smart Contract Auditing

Reference 29

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This paper cites Do you still need a manual smart contract audit?.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Do you still need a manual smart contract audit?

Reference 30

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This paper cites Detecting buggy contracts via smart testing,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Detecting buggy contracts via smart testing,

Reference 32

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This paper cites Llmsmartse c: Smart contract security auditing with llm and annotated control ﬂow graph,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Llmsmartse c: Smart contract security auditing with llm and annotated control ﬂow graph,

Reference 33

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This paper cites LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection

Reference 34

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This paper cites Leveraging ﬁne-tuned language models for efﬁcient and accurate smart contract auditing,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Leveraging ﬁne-tuned language models for efﬁcient and accurate smart contract auditing,

Reference 35

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This paper cites LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

Reference 36

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This paper cites Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Classifying Proposals of Decentralized Autonomous Organizations Using Large Language Models

Reference 37

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This paper cites Demystifying the dao governance process,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Demystifying the dao governance process,

Reference 38

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This paper cites Generative AI in the Construction Industry: Opportunities & Challenges.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Generative AI in the Construction Industry: Opportunities & Challenges

Reference 39

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Observation 6c491c9d-91fb-48c9-b7ff-e0edd609b0f8 · outbound

This paper cites Automatic smart contract comment generation via large language models and in-context learning,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Automatic smart contract comment generation via large language models and in-context learning,

Reference 40

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This paper cites Large lan- guage model-powered smart contract vulnerability detecti on: New perspectives,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Large lan- guage model-powered smart contract vulnerability detecti on: New perspectives,

Reference 41

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This paper cites Efﬁcient avoidance of vulnerabilities in auto-completed smart contract code usi ng vulnerability-constrained decoding,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Efﬁcient avoidance of vulnerabilities in auto-completed smart contract code usi ng vulnerability-constrained decoding,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.542867Z

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Observation 6addb0d5-aab0-4068-88b9-16dd21c6c90c · outbound

This paper cites Revolutionizing cryptocurrency operations: The role of domain-speciﬁc large language models (llms),.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Revolutionizing cryptocurrency operations: The role of domain-speciﬁc large language models (llms),

Reference 43

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This paper cites Convergence of ai, iot, big data and blockchain: a review,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Convergence of ai, iot, big data and blockchain: a review,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.487601Z

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This paper cites S- gram: towards semantic-aware security auditing for ethere um smart contracts,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration S- gram: towards semantic-aware security auditing for ethere um smart contracts,

Reference 45

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This paper cites Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework

Reference 46

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This paper cites De- velopment of a question answering chatbot for blockchain domain,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration De- velopment of a question answering chatbot for blockchain domain,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.469551Z

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This paper cites Ai-driven ux/ui design: Empirical research and applications in ﬁntech,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Ai-driven ux/ui design: Empirical research and applications in ﬁntech,

Reference 48

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Observation 3d82c2f4-0d8e-412c-bffa-c20ef20207fc · outbound

This paper cites Blockchain Large Language Models.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Blockchain Large Language Models

Reference 49

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This paper cites Large language models for cyber security: A systematic literature review,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Large language models for cyber security: A systematic literature review,

Reference 50

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This paper cites Checking smart contracts with structural code embedding,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Checking smart contracts with structural code embedding,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.453341Z

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Observation 845a2ab4-f005-4141-8bca-f2085ecf3691 · outbound

This paper cites Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Reference 52

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This paper cites Language Models are Few-Shot Learners.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Language Models are Few-Shot Learners

Reference 53

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Observation c556b2c2-3a81-4a8e-b841-f7380e975fe8 · outbound

This paper cites A survey of gpt-3 family large language mo dels including chatgpt and gpt-4,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration A survey of gpt-3 family large language mo dels including chatgpt and gpt-4,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.445932Z

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Observation 2926e136-08ef-4e09-a5d1-26a14f0c45e8 · outbound

This paper cites Llms in e-commerce: a comparative analysis of gpt and llama models in product review evaluation,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Llms in e-commerce: a comparative analysis of gpt and llama models in product review evaluation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.436551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4027efb8-1f52-43f7-95e4-c31b842d8a48 · outbound

This paper cites Exploring human-like translatio n strategy with large language models,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Exploring human-like translatio n strategy with large language models,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.427989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9aa4977e-3f47-4def-b755-3a648b0ed9f3 · outbound

This paper cites Chatgpt for good? on opportunities and challenges of large language models for education,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Chatgpt for good? on opportunities and challenges of large language models for education,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.418322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 368a1f4a-ebc3-428e-8f15-0992514aea70 · outbound

This paper cites Attention is all you need,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Attention is all you need,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T13:09:18.671219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e68472-5ba1-445e-aa2c-c78db90b99da · outbound

This paper cites Bitcoin: A peer-to-peer electronic cash sys- tem,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Bitcoin: A peer-to-peer electronic cash sys- tem,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.404215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7ee38ece-c2ec-4b68-b2ac-0dc600e1522f · outbound

This paper cites An overview on smart contracts: Challenges, ad- vances and platforms,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration An overview on smart contracts: Challenges, ad- vances and platforms,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.397461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41135a19-2bcc-43fd-a368-ba936d613c60 · outbound

This paper cites Blockchain for inter net of things: A survey,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Blockchain for inter net of things: A survey,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.389525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bb457a8a-32e1-4f51-a8cd-8858b3c8c631 · outbound

This paper cites [retracted] blockchain-based secure traceable scheme for food supply chain,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration [retracted] blockchain-based secure traceable scheme for food supply chain,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.382290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e84f56fe-2d43-408e-bbd3-b6df830dc385 · outbound

This paper cites Large Language Models for Blockchain Security: A Systematic Literature Review.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Large Language Models for Blockchain Security: A Systematic Literature Review

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T13:09:18.687328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33f8eb32-65b8-4290-bcfd-60011fb1907d · outbound

This paper cites Decentralized and collab ora- tive ai on blockchain,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Decentralized and collab ora- tive ai on blockchain,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.373973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84714f8b-e693-4ffa-b9d7-8d5f670d8d5d · outbound

This paper cites Blockchain convergence: Ana l- ysis of issues affecting iot, ai and blockchain,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Blockchain convergence: Ana l- ysis of issues affecting iot, ai and blockchain,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.365388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a4de3bc2-2498-479c-96e7-49f002218501 · outbound

This paper cites Intersect ion of ai and blockchain technology: Concerns and prospects,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Intersect ion of ai and blockchain technology: Concerns and prospects,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.355519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f10a89f0-088b-4476-a917-43879629fcce · outbound

This paper cites Revolutionizing cyber threat detection with large language models: A privac y- preserving bert-based lightweight model for iot/iiot devi ces,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Revolutionizing cyber threat detection with large language models: A privac y- preserving bert-based lightweight model for iot/iiot devi ces,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.345659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2352acfd-d704-4e84-8972-9b044062d2d0 · outbound

This paper cites Blockchain smart contracts formalizati on: Approaches and challenges to address vulnerabilities,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Blockchain smart contracts formalizati on: Approaches and challenges to address vulnerabilities,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.334888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f53ff82d-ae3c-4864-8284-adaa611030bc · outbound

This paper cites Lifelong federate d reinforcement learning: a learning architecture for navig ation in cloud robotic systems,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Lifelong federate d reinforcement learning: a learning architecture for navig ation in cloud robotic systems,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.324978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dd457dfb-37f2-44b8-8867-76d094445f6e · outbound

This paper cites Federated imitati on learning: A novel framework for cloud robotic systems with heterogeneous sensor data,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Federated imitati on learning: A novel framework for cloud robotic systems with heterogeneous sensor data,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.315349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1d217c5-1eea-4158-bea6-dc6f9d56d51a · outbound

This paper cites Peer-assisted robotic learning: a data-driven collabora tive learning approach for cloud robotic systems,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Peer-assisted robotic learning: a data-driven collabora tive learning approach for cloud robotic systems,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.308028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 80c0761e-a581-4a80-a754-e66f0cc8f574 · outbound

This paper cites Experiments of Federated Learning for COVID-19 Chest X-ray Images.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Experiments of Federated Learning for COVID-19 Chest X-ray Images

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:09:18.831840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation edef405e-de1c-411c-a55d-b4bf49ff8ff8 · outbound

This paper cites Fedcm: A real-time contribution measurement method for participants in federated learning,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Fedcm: A real-time contribution measurement method for participants in federated learning,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.298807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa986550-6fce-43a2-b7b6-5c4b78e949f3 · outbound

This paper cites ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:09:18.819386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ff14b9e5-8d46-4df2-b7bf-279a91fbcece · outbound

This paper cites Authros: Secure data sharing among robot operating systems based on ethereum,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Authros: Secure data sharing among robot operating systems based on ethereum,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.289409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 05332eb5-40c0-481e-920d-1a7d3224632b · outbound

This paper cites Roboec2: A novel cloud robotic system with dynamic network ofﬂoading assisted by amazon ec2,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Roboec2: A novel cloud robotic system with dynamic network ofﬂoading assisted by amazon ec2,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.279413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f3b6d89-430f-410e-8bb2-ae2f24f7f411 · outbound

This paper cites Applications of federated learning in smart cities: recen t ad- vances, taxonomy, and open challenges,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Applications of federated learning in smart cities: recen t ad- vances, taxonomy, and open challenges,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.244695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 459fa74b-e2cd-4f9c-84c4-bcbdfd990adb · outbound

This paper cites Singular po int probability improve lstm network performance for long-ter m trafﬁc ﬂow prediction,.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Singular po int probability improve lstm network performance for long-ter m trafﬁc ﬂow prediction,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:09:19.189418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b817cec-a4bb-43b8-bc97-0317b0ebea7e · outbound

This paper cites EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration EdgeLoc: A Communication-Adaptive Parallel System for Real-Time Localization in Infrastructure-Assisted Autonomous Driving

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:09:18.806365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6106a1f-564a-4ee0-b0e0-3fe403545554 · outbound

This paper cites LLM-Slice: Dedicated Wireless Network Slicing for Large Language Models.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration LLM-Slice: Dedicated Wireless Network Slicing for Large Language Models

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-08-12T13:09:18.793561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c78a9bd-081e-4b21-80fd-0190fa7e926e · outbound

This paper cites Blockchain Meets LLMs: A Living Survey on Bidirectional Integration.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Blockchain Meets LLMs: A Living Survey on Bidirectional Integration

Reference 81

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T13:09:18.778100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Reference resolution

Outbound references

Pith citing papers