AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection | Paper Citation Record

Observation c5ee2d88-1967-44c9-9dd1-3df1c43b78a6 · outbound

This paper cites Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.076931Z

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Observation cb873506-5324-44ab-8211-98984ec46f6f · outbound

This paper cites Dts and cps toward smart manufacturing and industry 4.0: Correlation and comparison,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Dts and cps toward smart manufacturing and industry 4.0: Correlation and comparison,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.081344Z

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Observation 87aaa6d9-ed84-4401-b5a1-a64b35ab217e · outbound

This paper cites Dt-driven smart manufacturing: Connotation, reference model, applications and research issues,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Dt-driven smart manufacturing: Connotation, reference model, applications and research issues,

Reference 3

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Observation 61c09eed-4fc1-4bb7-8d4d-ed30b94182c4 · outbound

This paper cites Review of dt applications in manufacturing,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Review of dt applications in manufacturing,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.090586Z

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Observation 40158e93-0151-463d-9f95-8d6d93312bd6 · outbound

This paper cites Digital twin for healthcare systems,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Digital twin for healthcare systems,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.095578Z

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Observation 9c71da78-63c9-4fe1-9760-696dd5b979ca · outbound

This paper cites Advancing Security with Digital Twins: A Comprehensive Survey.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Advancing Security with Digital Twins: A Comprehensive Survey

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:37:34.753383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2fc158e-6ef5-4bb0-abcc-d33fb405c286 · outbound

This paper cites Explainable ai for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Explainable ai for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.103744Z

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Observation ffe49c9b-7155-4b2e-90c6-3c677296f151 · outbound

This paper cites Digital twin-driven online anomaly detection for an automation system based on edge intel- ligence,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Digital twin-driven online anomaly detection for an automation system based on edge intel- ligence,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.107252Z

Source-reported events for the cited work

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Observation 748a0b0e-0fb4-4cf9-9e5b-0274ab75c1e8 · outbound

This paper cites Explainable, interpretable, and trustworthy ai for an intelligent digital twin: A case study on remaining useful life,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Explainable, interpretable, and trustworthy ai for an intelligent digital twin: A case study on remaining useful life,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.111734Z

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Observation 74af3e4b-5c84-4516-898c-b42c5188b729 · outbound

This paper cites Digital twin-based anomaly detection with curriculum learning in cyber-physical systems,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Digital twin-based anomaly detection with curriculum learning in cyber-physical systems,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.115144Z

Source-reported events for the cited work

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Observation 0a539cc2-ac86-4b8f-ac0c-3965a5bf181b · outbound

This paper cites Digital twins for cyber-physical systems security: State of the art and outlook,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Digital twins for cyber-physical systems security: State of the art and outlook,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.555277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07277443-288c-41fd-8f4e-92526e1ba733 · outbound

This paper cites Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.123255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 482955c9-f355-413c-8edd-4af9cb0312b5 · outbound

This paper cites On integrating resilience and human oversight into llm-assisted modeling workflows for digital twins,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection On integrating resilience and human oversight into llm-assisted modeling workflows for digital twins,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.544449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10d5b69b-15c1-4609-b853-096c81ace82c · outbound

This paper cites Semantic-aware llm orchestration for proactive resource management in predictive digital twin vehicular networks,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Semantic-aware llm orchestration for proactive resource management in predictive digital twin vehicular networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.529455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23f34e83-f8fe-464d-bace-866919312bdf · outbound

This paper cites Llm-based task offloading and resource allocation for dt edge computing networks,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Llm-based task offloading and resource allocation for dt edge computing networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.516040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d27db836-7f21-454f-be21-faa637385993 · outbound

This paper cites Agentic-ai framework for integrated design, implementation, testing, and operation of dt networks,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Agentic-ai framework for integrated design, implementation, testing, and operation of dt networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.503494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 664b8879-9a6c-40b0-a42e-bdb032172a22 · outbound

This paper cites Multi-agent systems for manufacturing digital twins: A perspective on agency and large language models,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Multi-agent systems for manufacturing digital twins: A perspective on agency and large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.488787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3bd59671-a14f-44a3-aca3-131cfa68e8c0 · outbound

This paper cites Llm-enabled multi-agent framework for natural language interaction with graph-based digital twins,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Llm-enabled multi-agent framework for natural language interaction with graph-based digital twins,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.479148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 49094ec8-7944-4c24-ae71-83514561bd32 · outbound

This paper cites Generative ai-driven digital twin in the manufacturing internet of things: A comprehensive survey,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Generative ai-driven digital twin in the manufacturing internet of things: A comprehensive survey,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.468233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98472688-f3ba-400d-9c99-4ca775949456 · outbound

This paper cites Llm-twin: mini-giant model-driven be- yond 5g dt networking framework with semantic secure communication and computation,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Llm-twin: mini-giant model-driven be- yond 5g dt networking framework with semantic secure communication and computation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.456226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb668bfd-52fc-45d4-9c6e-57e426fde994 · outbound

This paper cites Digital twin designs with generative ai: crafting a comprehensive framework for manufacturing systems,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Digital twin designs with generative ai: crafting a comprehensive framework for manufacturing systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.441269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2dd584f7-338a-49a7-8fec-8b0291d89af3 · outbound

This paper cites Enabling technologies and tools for digital twin,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Enabling technologies and tools for digital twin,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.429115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0c0d9536-0ea5-4952-b3e6-8de27462608d · outbound

This paper cites Digital twin paradigm: A systematic literature review,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Digital twin paradigm: A systematic literature review,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.417285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 694c633e-d11e-42fb-933d-9c871c6ea990 · outbound

This paper cites Leveraging llm agents and dts for fault handling in process plants,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Leveraging llm agents and dts for fault handling in process plants,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.404647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7ab8ad1-fef1-418f-a9e5-3c6353b70001 · outbound

This paper cites Predictive dt for offshore wind farms,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Predictive dt for offshore wind farms,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.394127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84af81c1-fad1-42b3-8b10-d2a383472218 · outbound

This paper cites Dt, physics-based model, and ml applied to damage detection in structures,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Dt, physics-based model, and ml applied to damage detection in structures,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.383122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d431edfe-e1e0-44de-a7c5-33c55f75067f · outbound

This paper cites The advance of digital twin for predictive maintenance: The role and function of machine learn- ing,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection The advance of digital twin for predictive maintenance: The role and function of machine learn- ing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.371308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2f43548-3653-488d-b937-f55398cf353c · outbound

This paper cites Methodology for enabling digital twin using advanced physics-based modelling in predictive maintenance,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Methodology for enabling digital twin using advanced physics-based modelling in predictive maintenance,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.358298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 149c0b2f-a68f-4cb0-97a1-f0bf734d8a5d · outbound

This paper cites Anomaly detection using ml and adopted dt concepts in radio environments,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Anomaly detection using ml and adopted dt concepts in radio environments,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.344060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb38e314-85d3-48c7-9f42-88913f8680a7 · outbound

This paper cites Sgad-gan: Simultaneous generation and anomaly detection for time- series sensor data with generative adversarial networks,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Sgad-gan: Simultaneous generation and anomaly detection for time- series sensor data with generative adversarial networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.333199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a02b9d4-f30a-4a42-bffc-75fbf392bed6 · outbound

This paper cites TAB: Unified Benchmarking of Time Series Anomaly Detection Methods.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection TAB: Unified Benchmarking of Time Series Anomaly Detection Methods

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.199917Z

Source-reported events for the cited work

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Observation dfdf6d05-f488-44d3-8e27-b2818c42db45 · outbound

This paper cites A digital twin-based platform for medical cyber-physical systems,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection A digital twin-based platform for medical cyber-physical systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.322747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8abb65d4-f7f9-4871-b371-a199cb353863 · outbound

This paper cites Digital-twin-based cps anomaly diagnosis and security defense countermeasure recommendation,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Digital-twin-based cps anomaly diagnosis and security defense countermeasure recommendation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.311015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3900d34-009d-4148-9de3-ce348b8c235d · outbound

This paper cites Weather-driven agricultural decision- making under imperfect conditions,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Weather-driven agricultural decision- making under imperfect conditions,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.297201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d1c5d72-d0c5-4289-82dd-e4d5e58b57a1 · outbound

This paper cites An architecture for integrating large language models with digital twins and automation systems,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection An architecture for integrating large language models with digital twins and automation systems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.284161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01d79297-096f-4cc6-aa9c-62610df6733a · outbound

This paper cites From simulation to prediction: Enhancing digital twins with advanced generative ai technologies,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection From simulation to prediction: Enhancing digital twins with advanced generative ai technologies,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.270682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e6f9c49-5bfe-478c-bfc1-30cf7c221739 · outbound

This paper cites Defecttwin: When llm meets dt for railway defect inspection,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Defecttwin: When llm meets dt for railway defect inspection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.258716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3039aecf-4752-439d-8290-0db1519e8c51 · outbound

This paper cites Lsdts: Llm-augmented semantic digital twins for adaptive knowledge-intensive infrastructure planning,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Lsdts: Llm-augmented semantic digital twins for adaptive knowledge-intensive infrastructure planning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.247247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 16178da8-ce06-4c47-a3b7-a679436e1c59 · outbound

This paper cites Systematic integration of digital twins and constrained llms for interpretable cyber- physical anomaly detection,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Systematic integration of digital twins and constrained llms for interpretable cyber- physical anomaly detection,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.234419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30a7355e-0f4f-4f1e-adca-2ab02c6b4ce9 · outbound

This paper cites A survey on applica- tions of large language model-driven digital twins for intelligent network optimization,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection A survey on applica- tions of large language model-driven digital twins for intelligent network optimization,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.221178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c142841-1bed-4f5d-9bd9-b65afc613bec · outbound

This paper cites Llms for explainable decisions in dynamic dts,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Llms for explainable decisions in dynamic dts,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.206196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33dfc379-8d53-435b-b23b-a08db6410b74 · outbound

This paper cites Fcllm-dt: Enpowering federated continual learning with large language models for digital-twin-based industrial iot,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Fcllm-dt: Enpowering federated continual learning with large language models for digital-twin-based industrial iot,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.193237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c406ca2f-6e97-40c6-9e82-15a28be1be3e · outbound

This paper cites Iiot-enabled digital twin for legacy and smart factory machines with llm integration,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Iiot-enabled digital twin for legacy and smart factory machines with llm integration,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.180500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7a869f5-db2c-43a7-ae7c-3a849fa41494 · outbound

This paper cites Large language models forecast patient health trajectories enabling digital twins,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Large language models forecast patient health trajectories enabling digital twins,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.264779Z

Source-reported events for the cited work

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Observation 365a1e3b-b758-4771-a51d-06ba2fe1a88a · outbound

This paper cites A multi-agent digital twin framework for ai-driven fitness coaching,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection A multi-agent digital twin framework for ai-driven fitness coaching,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.156054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 001dbde0-e9e2-4a93-872d-138fd9e08c21 · outbound

This paper cites Llmasmmkg: Llm assisted synthetic multi-modal knowledge graph creation for smart city cognitive digital twins,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Llmasmmkg: Llm assisted synthetic multi-modal knowledge graph creation for smart city cognitive digital twins,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.138908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0e1dfef8-0216-46e1-b14d-47afb13045de · outbound

This paper cites Towards fully automated city operations: integrating agentic ai with urban digital twins,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Towards fully automated city operations: integrating agentic ai with urban digital twins,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.123350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1151ae69-d739-4222-9d71-73d1fada3cee · outbound

This paper cites Virtual cities: from dts to autonomous ai societies,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Virtual cities: from dts to autonomous ai societies,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.108543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc61b907-0e54-4833-91fe-12ea54a2d923 · outbound

This paper cites Integrating llms and digital twins for adaptive multi-robot task allocation in construction,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Integrating llms and digital twins for adaptive multi-robot task allocation in construction,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.096821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1512b889-c989-4053-8da9-b0debdc93261 · outbound

This paper cites An llm-based digital twin for optimizing human-in-the loop systems,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection An llm-based digital twin for optimizing human-in-the loop systems,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.084002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51baaf4a-fcdc-4576-9b0c-4339993edb45 · outbound

This paper cites Simbench: A framework for evaluating and diagnosing llm-based digital-twin generation for multi-physics simulation,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Simbench: A framework for evaluating and diagnosing llm-based digital-twin generation for multi-physics simulation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.071677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75783ba1-ac8b-4a13-b0fc-4483e05496ce · outbound

This paper cites Generative ai and digital twin integrated intelligent process planning: a conceptual framework,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Generative ai and digital twin integrated intelligent process planning: a conceptual framework,

Reference 52

Resolution: verified exact; doi, observed 2026-08-16T00:37:34.521665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 764f53af-484e-48d1-b8a3-53962c77d561 · outbound

This paper cites Empowering digital twins with large language models for global temporal feature learning,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Empowering digital twins with large language models for global temporal feature learning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.059231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99e369fe-8ebf-413c-a46f-8cc938667264 · outbound

This paper cites Future factories with 6g: Agentic ai and cyber-physical digital twins,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Future factories with 6g: Agentic ai and cyber-physical digital twins,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.307036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78a6742-9807-4ea3-abaa-fb674271f842 · outbound

This paper cites Sr-dtma: A digital twin-driven llm multi-agent framework for systemic risk simulation and coordinated decision- making in supply chains,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Sr-dtma: A digital twin-driven llm multi-agent framework for systemic risk simulation and coordinated decision- making in supply chains,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.034324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0065a40c-2068-43c4-ae14-8935ed016812 · outbound

This paper cites The role of multi-agents in digital twin implementation: Short survey,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection The role of multi-agents in digital twin implementation: Short survey,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.021092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40755412-03ff-4664-8431-ea5b289d555e · outbound

This paper cites A digital twin framework for enhancing human–agentic ai–machine collaboration,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection A digital twin framework for enhancing human–agentic ai–machine collaboration,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:35.007781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc351248-1a0a-4bf4-a96e-5e53beecd3a5 · outbound

This paper cites Integrating agentic ai and digital twins for intelligent decision-making systems,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Integrating agentic ai and digital twins for intelligent decision-making systems,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.995103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation efef89d7-f553-4a90-b959-14795a333537 · outbound

This paper cites Llm experiments with simulation: Llm multi-agent system for simulation model parametrization in dts,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Llm experiments with simulation: Llm multi-agent system for simulation model parametrization in dts,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.982366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f5f0ba7-f0a5-475d-a08b-2bb44227375a · outbound

This paper cites Autonomous industrial control using an agentic framework with large language models,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Autonomous industrial control using an agentic framework with large language models,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.970734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc26eb04-4214-407e-8c66-74568c942fca · outbound

This paper cites Agentic ai for digital twin,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Agentic ai for digital twin,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.959477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f078514c-a59e-4cb7-9577-1863a89220cb · outbound

This paper cites State estimation of a physical system with unknown governing equations,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection State estimation of a physical system with unknown governing equations,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.947045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a914bda7-f420-4009-aeff-cbad00ade2d5 · outbound

This paper cites Beutenberg weather station,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Beutenberg weather station,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.934316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9023967b-97a4-4f3a-9970-edbe64c170b2 · outbound

This paper cites Forecasting at scale,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Forecasting at scale,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.352469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e81b57e-d38f-4774-a04f-f6a50ae18515 · outbound

This paper cites Temporal fusion transformers for interpretable multi-horizon time series forecasting,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Temporal fusion transformers for interpretable multi-horizon time series forecasting,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.911800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b143b0af-db7a-4226-bcea-deccd90e74ac · outbound

This paper cites Physics encoded blocks in residual neural network architectures for digital twin models,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Physics encoded blocks in residual neural network architectures for digital twin models,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.899487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4965c74f-ff18-4f68-91c8-b02af9d821a9 · outbound

This paper cites Physics-informed neural network solution of point kinetics equations for a nuclear reactor digital twin,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Physics-informed neural network solution of point kinetics equations for a nuclear reactor digital twin,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.886594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9481516c-a0f3-488b-b0d4-e30bb1affc4f · outbound

This paper cites A Comparison of Residual-based Methods on Fault Detection.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection A Comparison of Residual-based Methods on Fault Detection

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:37:34.703597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e055e29f-f489-4372-a42f-40f98ea80cae · outbound

This paper cites A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.873123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0374c085-8734-4bfe-b283-387df4afb485 · outbound

This paper cites A distributed sensor-fault detection and diagnosis framework using machine learning,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection A distributed sensor-fault detection and diagnosis framework using machine learning,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.859808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46ffafe9-1e86-4dfd-b96f-01127588938f · outbound

This paper cites Cafd: Context-aware fault diagnostic scheme towards sensor faults utilizing machine learning,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Cafd: Context-aware fault diagnostic scheme towards sensor faults utilizing machine learning,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.847148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 804fc12c-93f2-4e99-8a8e-58c1d29d1f49 · outbound

This paper cites an unresolved cited work.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-16T00:37:34.835257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3edb94e3-0fb9-4e12-b06d-dab3620bd45c · outbound

This paper cites Documentation of the weather station on top of the roof of the institute building of the max-planck-institute for biogeochemistry,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Documentation of the weather station on top of the roof of the institute building of the max-planck-institute for biogeochemistry,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.822498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ceefae3-877e-4552-b83a-236f6d5082a2 · outbound

This paper cites Support-vector networks,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Support-vector networks,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.395165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74bf7fd0-993c-41d0-b9a4-a78dc5ef1dc5 · outbound

This paper cites Random decision forests,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Random decision forests,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.399448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89ed72ce-bf70-4fa7-aa75-e139d22d362d · outbound

This paper cites Xgboost: A scalable tree boosting system,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Xgboost: A scalable tree boosting system,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.404098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6d96e7b-fa95-4d18-b909-f11393a890c0 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Lightgbm: A highly efficient gradient boosting decision tree,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.408525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e568ce-3d7c-4e40-8381-0c18d868565f · outbound

This paper cites Multilayer perceptrons for classification and regression,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Multilayer perceptrons for classification and regression,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.412868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d42e13-3edf-4596-8ef4-14a7d477d95c · outbound

This paper cites Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:37:34.766422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 315669fd-938c-45ff-9bf9-e528157b72c4 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.420584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5e8905-744f-4395-b05f-948e2c562b5a · outbound

This paper cites Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.426990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8419b2e1-4681-44a4-bd33-1cf79f2d39dd · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.433420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8607cb65-3ce6-4093-a677-cad881662ef0 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.440615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ffb35e0-6f4f-4e0a-b66e-952fa2f25be8 · outbound

This paper cites Qwen3 Technical Report.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Qwen3 Technical Report

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.446415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 690345cd-2e6b-410d-baaf-0896fc121fb8 · outbound

This paper cites The Llama 3 Herd of Models.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection The Llama 3 Herd of Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.450922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a5860d4-4743-4f49-80f3-4eff1caedc81 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Gemma: Open Models Based on Gemini Research and Technology

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.455006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0788d96d-d47a-4f6f-9bb0-cfa888c7f1d7 · outbound

This paper cites Phi-4 Technical Report.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection Phi-4 Technical Report

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.460985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5310bd96-a889-4cc8-a553-7a31f0b419c7 · outbound

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

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.466399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed40586c-595c-4f4d-917c-3bb3796bb3d4 · outbound

This paper cites OpenAI GPT-5 System Card.

AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection OpenAI GPT-5 System Card

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T00:37:34.472232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers