{"as_of":"2026-08-18T10:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e6f0d9cbb8cc3980b15ee1579a1c8615cf1ee2ab97da4236345ed3b1eafac44","coverage":[{"denominator":89,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":89,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:37:34.472232Z","state":"measured"},{"denominator":89,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":89,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.11679/citation-record","integrity":"/paper/2608.11679/integrity","json":"/paper/2608.11679/citation-record.json","paper":"/paper/2608.11679"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.076931Z","title":"Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.076931Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:17dd433a93093411db4be4f59a3f21c6ecb7acd0658ac9878ce90ae1e22b3e54","observation_id":"c5ee2d88-1967-44c9-9dd1-3df1c43b78a6","resolution":{"observed_at":"2026-08-16T00:37:34.076931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.081344Z","title":"Dts and cps toward smart manufacturing and industry 4.0: Correlation and comparison,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.081344Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:092c71780cb57c0bf9f71c89163c7973ea094b05e99609ea7a3c969d0052e7e1","observation_id":"cb873506-5324-44ab-8211-98984ec46f6f","resolution":{"observed_at":"2026-08-16T00:37:34.081344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.086514Z","title":"Dt-driven smart manufacturing: Connotation, reference model, applications and research issues,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.086514Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:cbf0eccce69091300bae10acdb6cb9464b0aa30c77f8ebb2e4d00ce38160f0a8","observation_id":"87aaa6d9-ed84-4401-b5a1-a64b35ab217e","resolution":{"observed_at":"2026-08-16T00:37:34.086514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.090586Z","title":"Review of dt applications in manufacturing,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.090586Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:a178f75d30fbc9f05d3a22ceadfcf1a0217e6869fd093f147d3a97311bef242f","observation_id":"61c09eed-4fc1-4bb7-8d4d-ed30b94182c4","resolution":{"observed_at":"2026-08-16T00:37:34.090586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.095578Z","title":"Digital twin for healthcare systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.095578Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:f87b6ede31164098f03b92391e3550f78cdb9edfae7374a9915299f32bf69196","observation_id":"40158e93-0151-463d-9f95-8d6d93312bd6","resolution":{"observed_at":"2026-08-16T00:37:34.095578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17310","last_updated":"2025-09-11T21:53:27Z","snapshot_observed_at":"2026-08-17T07:11:01.681697Z","submitted_at":"2025-05-22T22:01:07Z","title":"Advancing Security with Digital Twins: A Comprehensive Survey","version":2},"cited_work":{"arxiv_id":"2505.17310","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.17310","snapshot_observed_at":"2026-08-16T00:37:34.747348Z","title":"Advancing Security with Digital Twins: A Comprehensive Survey","venue":"cs.CR","work_id":"178e5a26-965e-4f61-a302-99168b5f1e47","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.099685Z"},"links":{"cited_paper":"/paper/2505.17310","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:9151d59231dee037d2dae4d08412dfeb239323568eb06d0ef9d005611db6888b","observation_id":"9c71da78-63c9-4fe1-9760-696dd5b979ca","resolution":{"observed_at":"2026-08-16T00:37:34.753383Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.103744Z","title":"Explainable ai for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.103744Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:2b20656d4b5cf44d0b5c496f6305bd90844532b07e375b9da952a2e5fe378f79","observation_id":"f2fc158e-6ef5-4bb0-abcc-d33fb405c286","resolution":{"observed_at":"2026-08-16T00:37:34.103744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.107252Z","title":"Digital twin-driven online anomaly detection for an automation system based on edge intel- ligence,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.107252Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:29d92f00edf387566ba7b3b6d263adeeeb789d10788b1d8b7d6e3dbea3e2138f","observation_id":"ffe49c9b-7155-4b2e-90c6-3c677296f151","resolution":{"observed_at":"2026-08-16T00:37:34.107252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.111734Z","title":"Explainable, interpretable, and trustworthy ai for an intelligent digital twin: A case study on remaining useful life,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.111734Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:1890d6d1b5616696c6052921d40a4118b243dced8336430d977adcf3eb10d042","observation_id":"748a0b0e-0fb4-4cf9-9e5b-0274ab75c1e8","resolution":{"observed_at":"2026-08-16T00:37:34.111734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.115144Z","title":"Digital twin-based anomaly detection with curriculum learning in cyber-physical systems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.115144Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:c628c011b2f424dae0809afe0a92fc3600fa8353cb81b1897be062f56fa2785a","observation_id":"74af3e4b-5c84-4516-898c-b42c5188b729","resolution":{"observed_at":"2026-08-16T00:37:34.115144Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.551999Z","title":"Digital twins for cyber-physical systems security: State of the art and outlook,","venue":null,"work_id":"e1d11197-645b-4529-b276-f588b78bbccc","year":2019},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.119049Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:765f571f1d26f6161c0bd5385bc67149afc7c8171e077d310f10e991b8273f7a","observation_id":"0a539cc2-ac86-4b8f-ac0c-3965a5bf181b","resolution":{"observed_at":"2026-08-16T00:37:35.555277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02167","last_updated":"2025-03-04T01:13:31Z","snapshot_observed_at":"2026-08-16T12:53:23.642501Z","submitted_at":"2025-03-04T01:13:31Z","title":"Leveraging Large Language Models for Enhanced Digital Twin Modeling: Trends, Methods, and Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02167","snapshot_observed_at":"2026-08-16T00:37:34.123255Z","title":"Leveraging llms for enhanced dt modeling: Trends, methods, and challenges,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.123255Z"},"links":{"cited_paper":"/paper/2503.02167","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:4b374eea117beb88ff66c9a4f182d1b29f8abea0e3e3ca096189f30cb50cd7cc","observation_id":"07277443-288c-41fd-8f4e-92526e1ba733","resolution":{"observed_at":"2026-08-16T00:37:34.123255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.540074Z","title":"On integrating resilience and human oversight into llm-assisted modeling workflows for digital twins,","venue":null,"work_id":"f00f6e44-fa51-4e01-8e58-49f5d0cb3170","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.127955Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:c501f8a85dc5244856f63961727b1868f5cf7f0175fbde920b5fe352b2bd3373","observation_id":"482955c9-f355-413c-8edd-4af9cb0312b5","resolution":{"observed_at":"2026-08-16T00:37:35.544449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.524393Z","title":"Semantic-aware llm orchestration for proactive resource management in predictive digital twin vehicular networks,","venue":null,"work_id":"55d6f18a-8c97-44c8-974f-49a55691098e","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.132062Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:72a91410b97d5bc38adb2831905c3ba13a182ae5ab17ec90c555a3eadd65064d","observation_id":"10d5b69b-15c1-4609-b853-096c81ace82c","resolution":{"observed_at":"2026-08-16T00:37:35.529455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.512030Z","title":"Llm-based task offloading and resource allocation for dt edge computing networks,","venue":null,"work_id":"590c8075-db7c-48e3-9908-cbb2c5ad3715","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.135556Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:dcff9a823f38d7b6cd79276b6d629f1e9be21e625ad794fd07f0a132dc10ee33","observation_id":"23f34e83-f8fe-464d-bace-866919312bdf","resolution":{"observed_at":"2026-08-16T00:37:35.516040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.498690Z","title":"Agentic-ai framework for integrated design, implementation, testing, and operation of dt networks,","venue":null,"work_id":"ba1ec7ab-1385-45c0-bb85-5ef6346ff12f","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.139267Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:9dae499dbe7e9fd63122378ed8c9e1b1c94badd02248ad43f5dce260ce17582c","observation_id":"d27db836-7f21-454f-be21-faa637385993","resolution":{"observed_at":"2026-08-16T00:37:35.503494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.485462Z","title":"Multi-agent systems for manufacturing digital twins: A perspective on agency and large language models,","venue":null,"work_id":"35513554-6804-4cf7-985e-1a1ae50bd79e","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.144161Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:31473de6a5d740383bbf3c66999286b9e1a18164e648ff7226d943badb7c3cb8","observation_id":"664b8879-9a6c-40b0-a42e-bdb032172a22","resolution":{"observed_at":"2026-08-16T00:37:35.488787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.475492Z","title":"Llm-enabled multi-agent framework for natural language interaction with graph-based digital twins,","venue":null,"work_id":"91a2548b-7940-46d3-9fa9-f83631447a30","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.148159Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:70c2c95522c0b5a22f224b8e95f59f8df17256206f1d31e52981949feeb70f3b","observation_id":"3bd59671-a14f-44a3-aca3-131cfa68e8c0","resolution":{"observed_at":"2026-08-16T00:37:35.479148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.463880Z","title":"Generative ai-driven digital twin in the manufacturing internet of things: A comprehensive survey,","venue":null,"work_id":"b5299c8f-2f7a-4d7e-9d92-1f4a2a283bed","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.151812Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:278e3098653d945c2ff672ab5c5947a2d6c4cf8a759d059736000b2cfb32c6cd","observation_id":"49094ec8-7944-4c24-ae71-83514561bd32","resolution":{"observed_at":"2026-08-16T00:37:35.468233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.451726Z","title":"Llm-twin: mini-giant model-driven be- yond 5g dt networking framework with semantic secure communication and computation,","venue":null,"work_id":"988510f9-cf4a-486d-a714-5b56fbf67cb5","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.155773Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:b7cdc687e3368344df65308a8062830d51cb28c13fe87e62658339ead694cad1","observation_id":"98472688-f3ba-400d-9c99-4ca775949456","resolution":{"observed_at":"2026-08-16T00:37:35.456226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.437265Z","title":"Digital twin designs with generative ai: crafting a comprehensive framework for manufacturing systems,","venue":null,"work_id":"49f0c165-8654-43be-8050-86a03d292cd8","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.160339Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:112d07cfe53b99c4bfa2b1726e403d8cb4291fb25c3801b888c9fda7a3f62547","observation_id":"bb668bfd-52fc-45d4-9c6e-57e426fde994","resolution":{"observed_at":"2026-08-16T00:37:35.441269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.425147Z","title":"Enabling technologies and tools for digital twin,","venue":null,"work_id":"64812615-30dd-406b-9f90-5371823cebb2","year":2021},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.164458Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:a8012d50b05fd5b23bfd2c3bfe2245960b28e878d034e3cb509921a08a9898e1","observation_id":"2dd584f7-338a-49a7-8fec-8b0291d89af3","resolution":{"observed_at":"2026-08-16T00:37:35.429115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.413326Z","title":"Digital twin paradigm: A systematic literature review,","venue":null,"work_id":"0d4ce494-fb70-4c75-ac52-3289ad0b12e4","year":2021},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.168245Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:ed9ac34994e19601156df6ef9fe753ceb4307fe1accb1e931d2cee2858c41308","observation_id":"0c0d9536-0ea5-4952-b3e6-8de27462608d","resolution":{"observed_at":"2026-08-16T00:37:35.417285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.401073Z","title":"Leveraging llm agents and dts for fault handling in process plants,","venue":null,"work_id":"29f8edbd-6bc2-4d8d-b466-8ce5102b04e4","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.172227Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:ec793cbe024a9fd601f901a1ed6f61da2377b6e29bbf26f9dea309b4fa1320d7","observation_id":"694c633e-d11e-42fb-933d-9c871c6ea990","resolution":{"observed_at":"2026-08-16T00:37:35.404647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.390674Z","title":"Predictive dt for offshore wind farms,","venue":null,"work_id":"36871c53-1733-4df3-87aa-b31b18ca1885","year":2023},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.176555Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:9349f5681f0721ccdce6813a6c27a97f0897614f811510e7141202667cd35385","observation_id":"c7ab8ad1-fef1-418f-a9e5-3c6353b70001","resolution":{"observed_at":"2026-08-16T00:37:35.394127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.378981Z","title":"Dt, physics-based model, and ml applied to damage detection in structures,","venue":null,"work_id":"ed6d3e3b-a90e-4d29-b717-2eb46998ce16","year":2021},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.180319Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:c441f0ae5a8b0d2043febb6d923351014a2abc8ea42924747857f7ab97fdadfe","observation_id":"84af81c1-fad1-42b3-8b10-d2a383472218","resolution":{"observed_at":"2026-08-16T00:37:35.383122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.366885Z","title":"The advance of digital twin for predictive maintenance: The role and function of machine learn- ing,","venue":null,"work_id":"6e2f072d-85d2-49ed-9cbe-fae9484a61eb","year":2023},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.184208Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:7acb7e24da4f4fd740136ca131a8ce0817ad8afc262813ae2de1d45c26ddc53f","observation_id":"d431edfe-e1e0-44de-a7c5-33c55f75067f","resolution":{"observed_at":"2026-08-16T00:37:35.371308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.353174Z","title":"Methodology for enabling digital twin using advanced physics-based modelling in predictive maintenance,","venue":null,"work_id":"85857192-c71f-48ac-b499-ba25b96a776c","year":2019},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.188074Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:7df7acc2ebd3511f7ee48d61398f3a51eb15a877cfb6b2a75b0af5623e8c31f9","observation_id":"f2f43548-3653-488d-b937-f55398cf353c","resolution":{"observed_at":"2026-08-16T00:37:35.358298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.340139Z","title":"Anomaly detection using ml and adopted dt concepts in radio environments,","venue":null,"work_id":"8d0fb957-36ce-4adb-a623-6087a87c2d74","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.191801Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:e2439351c68afc65087698fb9abbf5ac78fd7943b934fb9f9b02f8740c24488c","observation_id":"149c0b2f-a68f-4cb0-97a1-f0bf734d8a5d","resolution":{"observed_at":"2026-08-16T00:37:35.344060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.329935Z","title":"Sgad-gan: Simultaneous generation and anomaly detection for time- series sensor data with generative adversarial networks,","venue":null,"work_id":"3d4964d0-4b0c-45d6-859a-3b6b2c456b59","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.195956Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:7b3ed6c5cf939fc1ccf57e45247ef0e6cbf864b6f88702799f895f43f55e114f","observation_id":"eb38e314-85d3-48c7-9f42-88913f8680a7","resolution":{"observed_at":"2026-08-16T00:37:35.333199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.18046","last_updated":"2025-07-15T09:18:30Z","snapshot_observed_at":"2026-08-17T07:02:49.997246Z","submitted_at":"2025-06-22T14:19:36Z","title":"TAB: Unified Benchmarking of Time Series Anomaly Detection Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.18046","snapshot_observed_at":"2026-08-16T00:37:34.199917Z","title":"Tab: Unified benchmarking of time series anomaly detection methods,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.199917Z"},"links":{"cited_paper":"/paper/2506.18046","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:1777f9d2b7c5e5bea27795719a4d17e47125d653188feb54b9bb3e6c7fb63f7f","observation_id":"7a02b9d4-f30a-4a42-bffc-75fbf392bed6","resolution":{"observed_at":"2026-08-16T00:37:34.199917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.318995Z","title":"A digital twin-based platform for medical cyber-physical systems,","venue":null,"work_id":"b893f4b0-074c-42c7-83a9-1e21bff5b47a","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.204111Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:bde56ba2c3bf0e97a4ab605e1efc6c5465afc8535c79c054cf3f7c07af078a99","observation_id":"dfdf6d05-f488-44d3-8e27-b2818c42db45","resolution":{"observed_at":"2026-08-16T00:37:35.322747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.306454Z","title":"Digital-twin-based cps anomaly diagnosis and security defense countermeasure recommendation,","venue":null,"work_id":"f3ca8ba9-b40a-465d-8199-bfe16fb2a4ef","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.209081Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:0eb96a4c5e92b56fe2567ede84a3d90ed64926ebdca5a5864f3ba73013fcb744","observation_id":"8abb65d4-f7f9-4871-b371-a199cb353863","resolution":{"observed_at":"2026-08-16T00:37:35.311015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.292526Z","title":"Weather-driven agricultural decision- making under imperfect conditions,","venue":null,"work_id":"1b649188-ee96-44b9-aa63-0f6499fa4704","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.222631Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:dd9b532bc3fb11b206b9e00f46645f188ca2572a380cd19ed1868e87dd72b029","observation_id":"c3900d34-009d-4148-9de3-ce348b8c235d","resolution":{"observed_at":"2026-08-16T00:37:35.297201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.278880Z","title":"An architecture for integrating large language models with digital twins and automation systems,","venue":null,"work_id":"84b9c189-f0ec-41ac-abb2-5f89b6d49ba0","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.228533Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:b03dcf3808bab044e05ff63dd6ef769a98b1fc78246b01db83cd192a75f5f92e","observation_id":"3d1c5d72-d0c5-4289-82dd-e4d5e58b57a1","resolution":{"observed_at":"2026-08-16T00:37:35.284161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.266299Z","title":"From simulation to prediction: Enhancing digital twins with advanced generative ai technologies,","venue":null,"work_id":"834469b1-4f1e-4957-9c6e-207662b1d720","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.232694Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:b6933695020f3ffeeca255f1d416db6432f2384fed62971f7f4f59fb47205a55","observation_id":"01d79297-096f-4cc6-aa9c-62610df6733a","resolution":{"observed_at":"2026-08-16T00:37:35.270682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.255162Z","title":"Defecttwin: When llm meets dt for railway defect inspection,","venue":null,"work_id":"7fb4e576-de04-4c71-b716-ffa92b9f478b","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.236516Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:f7d1f46275be7778ee07e815ec6edcfc96afc042ef2b3eabf85f26e404458417","observation_id":"9e6f9c49-5bfe-478c-bfc1-30cf7c221739","resolution":{"observed_at":"2026-08-16T00:37:35.258716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.243033Z","title":"Lsdts: Llm-augmented semantic digital twins for adaptive knowledge-intensive infrastructure planning,","venue":null,"work_id":"c185e8ca-2405-4a7b-a2c9-823fe43cdd21","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.239784Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:18d2445529caeae68adb2f7e71f64fb357ff143c6083b7b70fc7235d37fb2840","observation_id":"3039aecf-4752-439d-8290-0db1519e8c51","resolution":{"observed_at":"2026-08-16T00:37:35.247247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.229916Z","title":"Systematic integration of digital twins and constrained llms for interpretable cyber- physical anomaly detection,","venue":null,"work_id":"02732e18-2448-43c8-b87e-e0bee0da67b3","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.243675Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:53dbf435deca3142bf9a9aed911ff1221491c7e4a2db24f50a6ad7b84ec4487b","observation_id":"16178da8-ce06-4c47-a3b7-a679436e1c59","resolution":{"observed_at":"2026-08-16T00:37:35.234419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.217251Z","title":"A survey on applica- tions of large language model-driven digital twins for intelligent network optimization,","venue":null,"work_id":"876dd884-b9ed-46c5-99db-320afaa8e6ae","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.247763Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:8ea487dc6f701ea01086b26b4ea36fd80bd3f9d2a728cb921c9b550ce7d03a84","observation_id":"30a7355e-0f4f-4f1e-adca-2ab02c6b4ce9","resolution":{"observed_at":"2026-08-16T00:37:35.221178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.201518Z","title":"Llms for explainable decisions in dynamic dts,","venue":null,"work_id":"7f8d3288-8ebd-4685-97b8-290b04815a0a","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.252348Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:626709f811a6c3ccfe6ed741d76bb575f5d4fe1a654be4ae7a49e9d1a470f63a","observation_id":"1c142841-1bed-4f5d-9bd9-b65afc613bec","resolution":{"observed_at":"2026-08-16T00:37:35.206196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.189022Z","title":"Fcllm-dt: Enpowering federated continual learning with large language models for digital-twin-based industrial iot,","venue":null,"work_id":"0d5c1608-de60-4660-8b6c-7a28aa992f3d","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.255666Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:4160ffa877c1992093bd4a8ae12522f7008d1d182c69d5b567b854029923e27b","observation_id":"33dfc379-8d53-435b-b23b-a08db6410b74","resolution":{"observed_at":"2026-08-16T00:37:35.193237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.176107Z","title":"Iiot-enabled digital twin for legacy and smart factory machines with llm integration,","venue":null,"work_id":"70a8851c-b7e1-4d58-adac-b4322ce5af3b","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.260221Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:5255f8a88f348c96352aff61d0d8767fcaa70c99b64001e4fad8fe566d3479c2","observation_id":"c406ca2f-6e97-40c6-9e82-15a28be1be3e","resolution":{"observed_at":"2026-08-16T00:37:35.180500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.264779Z","title":"Large language models forecast patient health trajectories enabling digital twins,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.264779Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:84135cf92cf20b342b7c864c5b431aff876d58e09299929ccd5df080eb9785ec","observation_id":"b7a869f5-db2c-43a7-ae7c-3a849fa41494","resolution":{"observed_at":"2026-08-16T00:37:34.264779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.149916Z","title":"A multi-agent digital twin framework for ai-driven fitness coaching,","venue":null,"work_id":"f7165100-41fc-488b-ac7c-eb7359c7d076","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.268910Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:c6ed35510d1074e6d92fa4543298bb8ffaeb854dfaf8b6f4ffacc446fe77f644","observation_id":"365a1e3b-b758-4771-a51d-06ba2fe1a88a","resolution":{"observed_at":"2026-08-16T00:37:35.156054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.133442Z","title":"Llmasmmkg: Llm assisted synthetic multi-modal knowledge graph creation for smart city cognitive digital twins,","venue":null,"work_id":"78754f0f-b036-4bbb-900c-a9f23f942352","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.272956Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:1dfba0bbd93d5d0f167627671851a2a022249aab63f655584e2e4d55f4991012","observation_id":"001dbde0-e9e2-4a93-872d-138fd9e08c21","resolution":{"observed_at":"2026-08-16T00:37:35.138908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.119449Z","title":"Towards fully automated city operations: integrating agentic ai with urban digital twins,","venue":null,"work_id":"de32d26c-85c0-48ad-bd41-a095f13a61b9","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.277469Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:9f5878fbb3a3e2cbaef3505bd96c8b9346ee62648fa78a3e1f793eab30442248","observation_id":"0e1dfef8-0216-46e1-b14d-47afb13045de","resolution":{"observed_at":"2026-08-16T00:37:35.123350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.104896Z","title":"Virtual cities: from dts to autonomous ai societies,","venue":null,"work_id":"6e83d69e-13de-4895-8830-ae7ab743ee0b","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.282366Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:90f40e6ac76e3cc064dc3c6056855c7bb378e637fee3e7ac37d79cd59060015b","observation_id":"1151ae69-d739-4222-9d71-73d1fada3cee","resolution":{"observed_at":"2026-08-16T00:37:35.108543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.092240Z","title":"Integrating llms and digital twins for adaptive multi-robot task allocation in construction,","venue":null,"work_id":"a61baed5-d1b2-4303-9953-3ba7c69cb001","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.286494Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:0d6eafab6b549cf65fef90f7560419f0ab39578a7c2efc1d6c3926a42e3fad4d","observation_id":"cc61b907-0e54-4833-91fe-12ea54a2d923","resolution":{"observed_at":"2026-08-16T00:37:35.096821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.080028Z","title":"An llm-based digital twin for optimizing human-in-the loop systems,","venue":null,"work_id":"6a07f1b7-86b3-442e-ae77-b48c1b153383","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.290432Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:04995a4b036d620107838b781471e62c01da4db04ed00496aa1ecfd5a4f66197","observation_id":"1512b889-c989-4053-8da9-b0debdc93261","resolution":{"observed_at":"2026-08-16T00:37:35.084002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.067441Z","title":"Simbench: A framework for evaluating and diagnosing llm-based digital-twin generation for multi-physics simulation,","venue":null,"work_id":"dfa9c6ce-e034-4816-b6f3-0eb09efb5653","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.295029Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:35465b95ad13ac86b2b42d7b7631698d46bde9016bb9335dd481c663c33e781f","observation_id":"51baaf4a-fcdc-4576-9b0c-4339993edb45","resolution":{"observed_at":"2026-08-16T00:37:35.071677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.21203/rs.3.rs-3652246/v1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.514855Z","title":"Generative ai and digital twin integrated intelligent process planning: a conceptual framework,","venue":null,"work_id":"76721909-c137-4d91-8ed2-facd8f3c5060","year":2023},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.299252Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:9f0412228c9ee6ba982a14707b6f495f1167279246ad379f732b3e2ece49031d","observation_id":"75783ba1-ac8b-4a13-b0fc-4483e05496ce","resolution":{"observed_at":"2026-08-16T00:37:34.521665Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.053894Z","title":"Empowering digital twins with large language models for global temporal feature learning,","venue":null,"work_id":"cb2bb84c-3cb3-4909-a96a-5e2fd03870d8","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.303215Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:5dd3bcfc5461b0620bf1663549ca75002af7db873df9230993ea34ee6e173f29","observation_id":"764f53af-484e-48d1-b8a3-53962c77d561","resolution":{"observed_at":"2026-08-16T00:37:35.059231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.307036Z","title":"Future factories with 6g: Agentic ai and cyber-physical digital twins,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.307036Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:f3a6de796fc9a86c92deb5a0d0c05aa7380241399794cfc1cdd3ab1fb1d146de","observation_id":"99e369fe-8ebf-413c-a46f-8cc938667264","resolution":{"observed_at":"2026-08-16T00:37:34.307036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.030176Z","title":"Sr-dtma: A digital twin-driven llm multi-agent framework for systemic risk simulation and coordinated decision- making in supply chains,","venue":null,"work_id":"d9299ce1-9a8b-4936-a061-f7ec7483d952","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.310784Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:af9f6dcf5f9935bb51f4002db42cde1178f81237014a115d1aa6c157d190304d","observation_id":"c78a6742-9807-4ea3-abaa-fb674271f842","resolution":{"observed_at":"2026-08-16T00:37:35.034324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.017084Z","title":"The role of multi-agents in digital twin implementation: Short survey,","venue":null,"work_id":"5ecfa500-4c68-4919-99d2-c4b9813426cd","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.315054Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:804038e298dfb512dd7bae238ac9811cde5bbe49557dd7be6a4ab8cf20436e7a","observation_id":"0065a40c-2068-43c4-ae14-8935ed016812","resolution":{"observed_at":"2026-08-16T00:37:35.021092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:35.003453Z","title":"A digital twin framework for enhancing human–agentic ai–machine collaboration,","venue":null,"work_id":"ee0669cc-82a9-4938-86aa-5c74b4ed112d","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.318779Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:6dae7c071bb59c02b3528ddefda85e10d927750e95c99acaea57b264220d8dee","observation_id":"40755412-03ff-4664-8431-ea5b289d555e","resolution":{"observed_at":"2026-08-16T00:37:35.007781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.991059Z","title":"Integrating agentic ai and digital twins for intelligent decision-making systems,","venue":null,"work_id":"82d11b0c-264b-4fe2-86a7-dd2d2a20c913","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.323030Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:d44a1c8ccebc93537a211e6e69c851e4c2c8e11b568f05d49e1fd8c3f5534fc2","observation_id":"bc351248-1a0a-4bf4-a96e-5e53beecd3a5","resolution":{"observed_at":"2026-08-16T00:37:34.995103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.978520Z","title":"Llm experiments with simulation: Llm multi-agent system for simulation model parametrization in dts,","venue":null,"work_id":"fea760f2-052f-413f-b460-f4be0792f6ad","year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.327946Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:5cc46b0fe8bf058ab7bcacb8591f16afe13eaf2683cf955710c2e3b82a11ccf3","observation_id":"efef89d7-f553-4a90-b959-14795a333537","resolution":{"observed_at":"2026-08-16T00:37:34.982366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.966811Z","title":"Autonomous industrial control using an agentic framework with large language models,","venue":null,"work_id":"59ef76e4-cd78-4fb8-943b-72c32666b85f","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.332287Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:9d123f2537b6ef7b6ebf7981c867041543d19f8720471b27e02a3163eccd59d5","observation_id":"6f5f0ba7-f0a5-475d-a08b-2bb44227375a","resolution":{"observed_at":"2026-08-16T00:37:34.970734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.955759Z","title":"Agentic ai for digital twin,","venue":null,"work_id":"d9ba65a9-0d8d-4b6b-b820-8d8c4faa8374","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.337057Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:d5ab6fcd1ad19526b9d8d1702302be1bdd104a83118e60214d25d4373ff55def","observation_id":"bc26eb04-4214-407e-8c66-74568c942fca","resolution":{"observed_at":"2026-08-16T00:37:34.959477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.943062Z","title":"State estimation of a physical system with unknown governing equations,","venue":null,"work_id":"452cc0bf-b86c-41fe-ac36-d55615ca4be6","year":2023},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.342686Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:926e2850ccea6b31ec75d64ac98230e733369e3ff20f035c5e42b9fedf8ab42a","observation_id":"f078514c-a59e-4cb7-9577-1863a89220cb","resolution":{"observed_at":"2026-08-16T00:37:34.947045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.929610Z","title":"Beutenberg weather station,","venue":null,"work_id":"4539015f-3241-4b14-99f0-d0694a064e28","year":null},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.347976Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:2e3672e9803fd7971c1c0ece289fdd2412bf8af214b47b34fd67b0a07a2e8406","observation_id":"a914bda7-f420-4009-aeff-cbad00ade2d5","resolution":{"observed_at":"2026-08-16T00:37:34.934316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.352469Z","title":"Forecasting at scale,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.352469Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:427f0ec1c1449a0679898b8fcdd0790ac56ebfcf4a57816bc5b5558cbe169130","observation_id":"9023967b-97a4-4f3a-9970-edbe64c170b2","resolution":{"observed_at":"2026-08-16T00:37:34.352469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.907725Z","title":"Temporal fusion transformers for interpretable multi-horizon time series forecasting,","venue":null,"work_id":"b9946855-c097-4faf-828f-bb5fe7488043","year":2021},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.357794Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:1d22e97e08a8eb84769d4b5791f6163a1be05f87137c1c10e168ba211315f2f8","observation_id":"8e81b57e-d38f-4774-a04f-f6a50ae18515","resolution":{"observed_at":"2026-08-16T00:37:34.911800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.895439Z","title":"Physics encoded blocks in residual neural network architectures for digital twin models,","venue":null,"work_id":"c1e97602-568f-4013-ac24-4fdf70fe517c","year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.361637Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:a29d733d1f7b00dd86d91a0816e007de7d35d63838fa56fbd6be682ebc8ebcf7","observation_id":"b143b0af-db7a-4226-bcea-deccd90e74ac","resolution":{"observed_at":"2026-08-16T00:37:34.899487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.882058Z","title":"Physics-informed neural network solution of point kinetics equations for a nuclear reactor digital twin,","venue":null,"work_id":"8208707c-e5d6-4f2d-b717-69864bfbacdd","year":2022},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.365528Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:c9509be2dc9443366299ece6474f78fd1ba1c72387b4bac7afc446fbff4d3fa4","observation_id":"4965c74f-ff18-4f68-91c8-b02af9d821a9","resolution":{"observed_at":"2026-08-16T00:37:34.886594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02274","last_updated":"2023-09-05T14:39:27Z","snapshot_observed_at":"2026-08-16T15:03:09.933419Z","submitted_at":"2023-09-05T14:39:27Z","title":"A Comparison of Residual-based Methods on Fault Detection","version":1},"cited_work":{"arxiv_id":"2309.02274","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.02274","snapshot_observed_at":"2026-08-16T00:37:34.696436Z","title":"A Comparison of Residual-based Methods on Fault Detection","venue":"eess.SY","work_id":"5945de86-8aaa-4e85-993a-d4199682ba03","year":2023},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.368869Z"},"links":{"cited_paper":"/paper/2309.02274","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:c386328d6a390feccd998cdb2e1dde0ce3656cf7a3ca6aab013cf0f36f55e8d7","observation_id":"9481516c-a0f3-488b-b0d4-e30bb1affc4f","resolution":{"observed_at":"2026-08-16T00:37:34.703597Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.869072Z","title":"A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data,","venue":null,"work_id":"0f376f0e-e2d3-482f-8402-f83e73911145","year":2019},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.372532Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:7c223be39257a39b83bada2c3e1a83feb78596bcd06a5bddd5d4102dd40707a0","observation_id":"e055e29f-f489-4372-a42f-40f98ea80cae","resolution":{"observed_at":"2026-08-16T00:37:34.873123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.855309Z","title":"A distributed sensor-fault detection and diagnosis framework using machine learning,","venue":null,"work_id":"f0d22a52-2daf-4eb7-b40e-c29ccb1574b2","year":2021},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.376111Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:bdcf876e5a98a176f6c7070c773c8337791dc2254423d60ae7f7595f97d6e688","observation_id":"0374c085-8734-4bfe-b283-387df4afb485","resolution":{"observed_at":"2026-08-16T00:37:34.859808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.843068Z","title":"Cafd: Context-aware fault diagnostic scheme towards sensor faults utilizing machine learning,","venue":null,"work_id":"eb0b46db-39c9-4beb-aaaa-4a46eb134183","year":2021},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.381847Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:63a334ef09526251b687646c21baf8e5af7d12275fc61effa468a2b766ec29d8","observation_id":"46ffafe9-1e86-4dfd-b96f-01127588938f","resolution":{"observed_at":"2026-08-16T00:37:34.847148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.830896Z","title":null,"venue":null,"work_id":"d22278a6-a35a-4ef5-a3b2-bcaab1c7df2e","year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.386033Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:54352f61c6af3ceb42e6a7f693b3c13ee3d9fc2752806b41ce1034379881f72b","observation_id":"804fc12c-93f2-4e99-8a8e-58c1d29d1f49","resolution":{"observed_at":"2026-08-16T00:37:34.835257Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.818581Z","title":"Documentation of the weather station on top of the roof of the institute building of the max-planck-institute for biogeochemistry,","venue":null,"work_id":"2c56e904-79f4-4357-8dbb-fd2bd75172a5","year":2008},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.390885Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:98d5e971b5360b8a16e765be30a43f2311f2edfdfca5ae25aefb068669fbb241","observation_id":"3edb94e3-0fb9-4e12-b06d-dab3620bd45c","resolution":{"observed_at":"2026-08-16T00:37:34.822498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.395165Z","title":"Support-vector networks,","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.395165Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:491a8a4c5d0dd541eaa2e5adfb1aa074c0ed3140a2b52444b82387ec612461f5","observation_id":"9ceefae3-877e-4552-b83a-236f6d5082a2","resolution":{"observed_at":"2026-08-16T00:37:34.395165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.399448Z","title":"Random decision forests,","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.399448Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:533a4338469a6ff95c3cd2560e27010f85611e1dac553e5ee5c2d716f9cd85e9","observation_id":"74bf7fd0-993c-41d0-b9a4-a78dc5ef1dc5","resolution":{"observed_at":"2026-08-16T00:37:34.399448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.404098Z","title":"Xgboost: A scalable tree boosting system,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.404098Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:53448253707936f5a00726ab895b6d042a15ea10e5c499ed76a2e978c50a7c0c","observation_id":"89ed72ce-bf70-4fa7-aa75-e139d22d362d","resolution":{"observed_at":"2026-08-16T00:37:34.404098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.408525Z","title":"Lightgbm: A highly efficient gradient boosting decision tree,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.408525Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:7819e2fe54470c95476a648eab7c8739b94c49c06a2a81c4dc59da1c7d5d7aff","observation_id":"e6d96e7b-fa95-4d18-b909-f11393a890c0","resolution":{"observed_at":"2026-08-16T00:37:34.408525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.412868Z","title":"Multilayer perceptrons for classification and regression,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.412868Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:43fd71bada3b33549ec2b9ffbe774fa3f6710b8a98d177fe92335de9bd046bf7","observation_id":"25e568ce-3d7c-4e40-8381-0c18d868565f","resolution":{"observed_at":"2026-08-16T00:37:34.412868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:37:34.762259Z","title":"Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting,","venue":null,"work_id":"4d46f4c6-6265-4d92-9dfc-11aac555ed5d","year":2019},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.416870Z"},"links":{"citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:6c8189918ee513370aa5c3286b22a0ffcc891ca4370b15702bb821a87de57316","observation_id":"46d42e13-3edf-4596-8ef4-14a7d477d95c","resolution":{"observed_at":"2026-08-16T00:37:34.766422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.14730","last_updated":"2023-03-05T22:11:56Z","snapshot_observed_at":"2026-08-17T01:22:50.943392Z","submitted_at":"2022-11-27T05:15:42Z","title":"A Time Series is Worth 64 Words: Long-term Forecasting with Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.14730","snapshot_observed_at":"2026-08-16T00:37:34.420584Z","title":"A time series is worth 64 words: Long-term forecasting with transformers,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.420584Z"},"links":{"cited_paper":"/paper/2211.14730","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:0ef43dd38cd712d6b35ef29143c1bb035b97b9947637e0a7e09c79c983004002","observation_id":"315669fd-938c-45ff-9bf9-e528157b72c4","resolution":{"observed_at":"2026-08-16T00:37:34.420584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.04791","last_updated":"2026-04-09T08:07:11Z","snapshot_observed_at":"2026-08-15T00:50:10.977972Z","submitted_at":"2026-03-05T04:13:57Z","title":"Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.04791","snapshot_observed_at":"2026-08-16T00:37:34.426990Z","title":"Timer-s1: A billion-scale time series foundation model with serial scaling,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.426990Z"},"links":{"cited_paper":"/paper/2603.04791","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:8fa5e876c5758306e8fb2d559c7da39f9089ca6ab02652c886ec11a8ffbbcb01","observation_id":"8a5e8905-744f-4395-b05f-948e2c562b5a","resolution":{"observed_at":"2026-08-16T00:37:34.426990Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02186","last_updated":"2023-04-12T02:34:03Z","snapshot_observed_at":"2026-08-17T15:00:57.936069Z","submitted_at":"2022-10-05T12:19:51Z","title":"TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02186","snapshot_observed_at":"2026-08-16T00:37:34.433420Z","title":"Timesnet: Temporal 2d-variation modeling for general time series analysis,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.433420Z"},"links":{"cited_paper":"/paper/2210.02186","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:144b86dbacb95c9626ace92c0031f9e27666f4a606bd851667af3ea8377a2390","observation_id":"8419b2e1-4681-44a4-bd33-1cf79f2d39dd","resolution":{"observed_at":"2026-08-16T00:37:34.433420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.06261","last_updated":"2025-12-19T14:25:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-07T17:36:04Z","title":"Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.06261","snapshot_observed_at":"2026-08-16T00:37:34.440615Z","title":"Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.440615Z"},"links":{"cited_paper":"/paper/2507.06261","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:5d035925e18374f4b29912fdfc94ed713c5f955e36763d387da0aba98913e3cd","observation_id":"8607cb65-3ce6-4093-a677-cad881662ef0","resolution":{"observed_at":"2026-08-16T00:37:34.440615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-16T00:37:34.446415Z","title":"Qwen3 technical report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.446415Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:2c079472772d746d8db397a0b6aed0a98b47a4312d11f43b90daa3bf1bb091a3","observation_id":"1ffb35e0-6f4f-4e0a-b66e-952fa2f25be8","resolution":{"observed_at":"2026-08-16T00:37:34.446415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-16T00:37:34.450922Z","title":"The llama 3 herd of models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.450922Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:ed6d5f1b5cb69aa474619469e9e9a9f2a98c0965e711dd0cf0fdd663d8e80d20","observation_id":"690345cd-2e6b-410d-baaf-0896fc121fb8","resolution":{"observed_at":"2026-08-16T00:37:34.450922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-16T00:37:34.455006Z","title":"Gemma: Open models based on gemini research and technology,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.455006Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:d21e984fb5bf9f6dd238dbbceb6025bea90d76ad3bb20ba294dcd09366dcafd6","observation_id":"1a5860d4-4743-4f49-80f3-4eff1caedc81","resolution":{"observed_at":"2026-08-16T00:37:34.455006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08905","last_updated":"2024-12-12T03:37:41Z","snapshot_observed_at":"2026-08-14T03:45:52.225630Z","submitted_at":"2024-12-12T03:37:41Z","title":"Phi-4 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08905","snapshot_observed_at":"2026-08-16T00:37:34.460985Z","title":"Phi-4 technical report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.460985Z"},"links":{"cited_paper":"/paper/2412.08905","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:8f2cc6bf6eab68c30cc034af155bca4bc9963262701f96c3168f6d0d22433f9a","observation_id":"0788d96d-d47a-4f6f-9bb0-cfa888c7f1d7","resolution":{"observed_at":"2026-08-16T00:37:34.460985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-15T12:33:55.451951Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-16T00:37:34.466399Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via rl,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.466399Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:f10f060742a823b24f7dd84d42659939aaaaeec1860425143178876614c6e4c8","observation_id":"5310bd96-a889-4cc8-a553-7a31f0b419c7","resolution":{"observed_at":"2026-08-16T00:37:34.466399Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.03267","last_updated":"2026-05-01T23:55:43Z","snapshot_observed_at":"2026-08-15T00:17:32.875866Z","submitted_at":"2025-12-19T07:05:38Z","title":"OpenAI GPT-5 System Card","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.03267","snapshot_observed_at":"2026-08-16T00:37:34.472232Z","title":"Openai gpt-5 system card,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-16T00:37:34.472232Z"},"links":{"cited_paper":"/paper/2601.03267","citing_paper":"/paper/2608.11679"},"observation_digest":"sha256:236c03470807e7bdde9a6935c337eba597abb59dfc07b4d0d87af9733719b11f","observation_id":"ed40586c-595c-4f4d-917c-3bb3796bb3d4","resolution":{"observed_at":"2026-08-16T00:37:34.472232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.11679","last_updated":"2026-08-12T05:38:05Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-17T07:12:06.697195Z","submitted_at":"2026-08-12T05:38:05Z","title":"AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection"},"reference_resolution":{"displayed":89,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":3,"verified_fuzzy":56},"total_outbound_references":89},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2608.11679."}