{"as_of":"2026-08-07T19:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:93cc0cb6831daee0983600df661c44741350722bb9170117c4a331d3375e6145","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:38:28.505480Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.07407/citation-record","integrity":"/paper/2506.07407/integrity","json":"/paper/2506.07407/citation-record.json","paper":"/paper/2506.07407"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:38:32.246125Z","title":"Artificial intelligence-aided digital twin design: A systematic review,","venue":null,"work_id":"0c5ab07d-12da-4db4-97d7-59814c81e4d4","year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:24.342459Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:3270dbb03e8b343c78c20469330e6515e4bad6179897be612e1f2a29b2610c90","observation_id":"bc5fb4e6-28fe-4c08-a712-fb0e02fdfac8","resolution":{"observed_at":"2026-08-07T05:38:32.321719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19925","last_updated":"2025-01-13T04:33:01Z","snapshot_observed_at":"2026-07-06T20:13:54.305272Z","submitted_at":"2024-12-27T21:19:01Z","title":"HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19925","snapshot_observed_at":"2026-08-07T05:38:24.474554Z","title":"Hades: Hardware accelerated decoding for efficient speculation in large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:24.474554Z"},"links":{"cited_paper":"/paper/2412.19925","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:2e225d4b6bdd1f81979d85bc10d4921c456dd183dc3e4bae7ab090b9e5d96a0d","observation_id":"c28f5a0b-1af2-44c2-b9bd-2e4a0c9835b5","resolution":{"observed_at":"2026-08-07T05:38:24.474554Z","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":"2026-08-07T05:38:32.010984Z","title":"Autonomous anomaly detection in cloud security: Ai and dspm with machine learning,","venue":null,"work_id":"21775851-61a0-437c-81e8-3fd814689bfc","year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:24.615962Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:8e9b85449cd6945cbb514fb07b7ace00be3019ba79d512503b9e5855e00e7465","observation_id":"34a7a08b-ee6c-44e4-8ecd-4eb83c6e3978","resolution":{"observed_at":"2026-08-07T05:38:32.117143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:31.859119Z","title":"Proactive cloud security with dspm: Ai and machine learning-based anomaly detection,","venue":null,"work_id":"b37cf898-0244-4507-8204-a7685bc7cba0","year":2022},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:24.736608Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:6f387f7d81c0a9316863d4a1e3f7658bc3c38f362295c36adadc7eb14c8c46bc","observation_id":"75565041-41c5-4314-836f-8645537bc4bb","resolution":{"observed_at":"2026-08-07T05:38:31.932881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11585","last_updated":"2025-03-10T17:21:37Z","snapshot_observed_at":"2026-07-06T19:17:19.354772Z","submitted_at":"2024-09-17T22:20:26Z","title":"Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11585","snapshot_observed_at":"2026-08-07T05:38:24.882430Z","title":"Advances in appfl: A comprehensive and extensible federated learning framework,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:24.882430Z"},"links":{"cited_paper":"/paper/2409.11585","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:b5c6f1953ce6aa57617ee7f08727c65f128dab5d0ea49505399afba5c65cd328","observation_id":"1e3af2fb-3932-4a66-9aaf-00c82dfa3df1","resolution":{"observed_at":"2026-08-07T05:38:24.882430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.12226","last_updated":"2025-03-15T18:44:50Z","snapshot_observed_at":"2026-08-07T17:01:37.005418Z","submitted_at":"2025-03-15T18:44:50Z","title":"Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.12226","snapshot_observed_at":"2026-08-07T05:38:25.020965Z","title":"Research on large language model cross-cloud privacy protection and collaborative training based on federated learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:25.020965Z"},"links":{"cited_paper":"/paper/2503.12226","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:3d2911e07609107f4034928a4be921373ac088f4c9139bf229bdf85d3f48c345","observation_id":"6dea593d-55ee-48a1-8a9d-bdc51790070d","resolution":{"observed_at":"2026-08-07T05:38:25.020965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.11743","last_updated":"2025-05-16T23:02:57Z","snapshot_observed_at":"2026-08-07T15:44:29.194789Z","submitted_at":"2025-05-16T23:02:57Z","title":"Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.11743","snapshot_observed_at":"2026-08-07T05:38:25.143401Z","title":"Cloud-based ai systems: Leveraging large language models for intelligent fault detection and autonomous self-healing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:25.143401Z"},"links":{"cited_paper":"/paper/2505.11743","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:59467a17e2d287d2606a4e06949209716f7c88a86f3ad301dd70f36ad26f190f","observation_id":"9aba5ae9-4f5c-4605-8e0b-04822c380c36","resolution":{"observed_at":"2026-08-07T05:38:25.143401Z","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":"2026-08-07T05:38:25.266263Z","title":"Nlp-adbench: Nlp anomaly detection benchmark,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:25.266263Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:bfd0c8d68eeff7195780980c7eae3ddd699d2d5ec08ddbb66efde18ea8610919","observation_id":"45eee21b-c837-4a6a-9627-219331e7b382","resolution":{"observed_at":"2026-08-07T05:38:25.266263Z","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":"2026-08-07T05:38:31.677841Z","title":"A decision-language model (dlm) for dynamic restless multi-armed bandit tasks in public health,","venue":null,"work_id":"bfab2d2c-2daf-4ac6-8160-b865f7178cef","year":null},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:25.407253Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:b29637a4d75c6e7768919a8c582351888c3103270f968480365126ce9ad947e3","observation_id":"febaf794-a457-4b29-84ab-b18a4d289d90","resolution":{"observed_at":"2026-08-07T05:38:31.749510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:31.532908Z","title":"Scalable neural network kernels,","venue":null,"work_id":"1c780f7c-b2de-452d-9d3f-da2e7abe1099","year":null},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:25.591858Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:a0fb17ab9fb14a970002a2b63b233ae9517774785262c6b9553a693184018fbc","observation_id":"fff4614e-b165-4cd3-978d-385ab430c401","resolution":{"observed_at":"2026-08-07T05:38:31.600564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:25.793539Z","title":"RAG-RLRC-LaySum at BioLaySumm: Integrating retrieval-augmented generation and readability control for layman summarization of biomedical texts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:25.793539Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:1c4e18be329046c01be79c28d239e61efea9f97c66fc094ea1efcc1a8f935b1c","observation_id":"96128d88-78e7-43ba-864a-ab81bd09aae8","resolution":{"observed_at":"2026-08-07T05:38:25.793539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.12228","last_updated":"2025-03-15T18:45:33Z","snapshot_observed_at":"2026-08-07T17:01:36.536772Z","submitted_at":"2025-03-15T18:45:33Z","title":"Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.12228","snapshot_observed_at":"2026-08-07T05:38:25.945175Z","title":"Adaptive fault tolerance mechanisms of large language models in cloud computing environ- ments,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:25.945175Z"},"links":{"cited_paper":"/paper/2503.12228","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:c9a34f34913f7bf4594d71d1339ac50efa9d901267e37a0aa17f410702d45718","observation_id":"5d875798-6b74-4f68-aaee-197ca92525fa","resolution":{"observed_at":"2026-08-07T05:38:25.945175Z","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":"2026-08-07T05:38:31.366532Z","title":"Time series modeling for heart rate prediction: From arima to transformers,","venue":null,"work_id":"d1f30ed2-7922-48ac-aa1d-4e449793571b","year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.059356Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:87c5a5f33a1536338c2d94fc1ecbe63f698b7c82f30dac0e11b8c218d66294b3","observation_id":"e32f6e1c-8e46-4cb4-8d35-2a8d36cc7047","resolution":{"observed_at":"2026-08-07T05:38:31.466814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.13292","last_updated":"2025-05-19T16:14:27Z","snapshot_observed_at":"2026-08-07T15:43:05.525872Z","submitted_at":"2025-05-19T16:14:27Z","title":"Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.13292","snapshot_observed_at":"2026-08-07T05:38:26.125930Z","title":"Cross-cloud data privacy protection: Optimizing collaborative mechanisms of ai systems by integrating federated learning and llms,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.125930Z"},"links":{"cited_paper":"/paper/2505.13292","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:a24563d4c08316db20345a913e8087051ae1c4cf54c631bd098caa1fe16d7393","observation_id":"e023f93a-10f5-43d6-9c7b-c861421dbd0b","resolution":{"observed_at":"2026-08-07T05:38:26.125930Z","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":"2026-08-07T05:38:31.177508Z","title":"Proactive security in multi-cloud environments: A blockchain integrated real-time anomaly detection and mitigation framework,","venue":null,"work_id":"5f6dba60-76da-4181-a80b-7d47f8cf3609","year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.186747Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:5646e4f815dfdc9498c78191de8321a0d55449135cc5ca4f43606abae72e3bdc","observation_id":"1c4f65f9-49d9-477f-ae6c-31feb80fbd6a","resolution":{"observed_at":"2026-08-07T05:38:31.258696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:31.031333Z","title":"Enhancing network security in multi-cloud environments through adaptive threat detection","venue":null,"work_id":"4affc1ac-85e7-43d9-bf0c-bb9ef5bdd45d","year":null},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.280883Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:69de418e15944636cb9f8f7df91fd11bc0029a201501d4dee9dd9ad091fd9336","observation_id":"c986ae05-0f39-426b-ae5a-10443cfa2f23","resolution":{"observed_at":"2026-08-07T05:38:31.098806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:30.850345Z","title":"Security challenges in multi-cloud environments: Solutions and best practices,","venue":null,"work_id":"1fe7d4e5-03ac-409a-ada0-8ad003e1f3ea","year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.351842Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:9b2d22e7e9ed853035ca4df7817b0472b505b1f051e22bdb9f1aeaf12c90ef15","observation_id":"0c77d283-c2cb-48b9-8665-ae332bacd9be","resolution":{"observed_at":"2026-08-07T05:38:30.924619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:30.693053Z","title":"Ai-driven anomaly detection: Strengthening multi-cloud security,","venue":null,"work_id":"0d43312f-8082-4dd5-be3e-6cd6cfa225ea","year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.421527Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:316646a0b030f38c088f4c9e45c4d271b0c5b7feda131757487b81ad3c2bd000","observation_id":"9c6366e0-a048-41f5-a750-79d01d8445b0","resolution":{"observed_at":"2026-08-07T05:38:30.781522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:30.530551Z","title":"Research on the improvement of cyber- security early warning systems based on cloud computing platforms,","venue":null,"work_id":"a294c397-fa0e-4c96-ab66-1a877e6e93eb","year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.474762Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:64950cb2a0dccf74b3fcd5adbe2930600f39f33d9defdf9309d47f854708ee46","observation_id":"69c77629-b493-4226-a788-695369a97716","resolution":{"observed_at":"2026-08-07T05:38:30.593194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:30.389899Z","title":"Multi-cloud resource scheduling intelligent system with endogenous security","venue":null,"work_id":"72502bfb-61b3-40e3-a2f0-fac68325e5d4","year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.568009Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:4e5b2cb4d0bfd6e0d36a89350fa4c0a01362f1c300c1f03dd652ee9c0499b22a","observation_id":"ebcf92bd-a363-4e49-ac57-004d66ec4e41","resolution":{"observed_at":"2026-08-07T05:38:30.464484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.08475","last_updated":"2025-05-29T04:09:28Z","snapshot_observed_at":"2026-07-06T19:31:36.072099Z","submitted_at":"2024-10-11T03:05:06Z","title":"GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.08475","snapshot_observed_at":"2026-08-07T05:38:26.697632Z","title":"Give: Structured reasoning of large language models with knowledge graph inspired veracity extrapolation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.697632Z"},"links":{"cited_paper":"/paper/2410.08475","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:673c36e950448764f9680813755dc0c39d506e75648c57b8fa79e9d11a383215","observation_id":"6212cc58-0083-4229-904b-37bdbe65ff67","resolution":{"observed_at":"2026-08-07T05:38:26.697632Z","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":"2026-08-07T05:38:26.767653Z","title":"Self-give: Associative thinking from limited structured knowledge for enhanced large language model reasoning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.767653Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:1330cdda3ded3fef5cb31ca9f8bd2675b69ad2df067bd4c6d40700c99238142c","observation_id":"2cd7c428-c7ed-4956-9cde-495d620cc6c0","resolution":{"observed_at":"2026-08-07T05:38:26.767653Z","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":"2026-08-07T05:38:30.236937Z","title":"Auto-encoding variational bayes,","venue":null,"work_id":"1cd456b6-6e60-4bc9-897b-306465b9a9da","year":2013},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.874172Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:ca0ed43c14e9464ec0bfa4b829636b148616de72500f33fdadf53b40afa3e6eb","observation_id":"3ae63920-f1b9-4582-a52d-9f1ea4dbd2fc","resolution":{"observed_at":"2026-08-07T05:38:30.311468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:30.106960Z","title":"Fine-grained control of generative data aug- mentation in iot sensing,","venue":null,"work_id":"4001c7c9-79af-4f22-b3b2-05856b67b8cf","year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:26.962295Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:3e264eeaf21d9aaef816586e33956e39a409ce2b66fb774f6455143dba262c28","observation_id":"776b1efa-ad26-4013-892f-e7b6b7d9436a","resolution":{"observed_at":"2026-08-07T05:38:30.139371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:27.022147Z","title":"Exploring diverse methods in visual question answering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.022147Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:df3fc166450557b02ac93020ebc03d4a24b581f3638521a6c22a8bcaeee04c83","observation_id":"3094a621-5e60-48e8-abfa-254c291f97d7","resolution":{"observed_at":"2026-08-07T05:38:27.022147Z","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":"2026-08-07T05:38:27.106058Z","title":"Contextual hourglass network for semantic segmentation of high resolution aerial imagery,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.106058Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:83b52c79b34077fac8df16e5b59ea074b89d04b2aafca10fcae2c4267e4e9b77","observation_id":"a2fa0712-4756-41d9-b15a-a152570ae638","resolution":{"observed_at":"2026-08-07T05:38:27.106058Z","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":"2026-08-07T05:38:27.189740Z","title":"Generative adversarial networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.189740Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:aa8bec39446f33e6a7942ebb84aada7975b3404faa95c9856d1ef9f41718b7af","observation_id":"f47ac669-2f43-4e5e-8844-d710efac33f7","resolution":{"observed_at":"2026-08-07T05:38:27.189740Z","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":"2026-08-07T05:38:27.242126Z","title":"Deception detection from linguistic and physiological data streams using bimodal convolutional neural networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.242126Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:e68ef175fb010a3a451e18b9866b1ccc6131a939058187bdccf7e7c780ee6bd1","observation_id":"ef4e655e-7eda-468b-9173-6841e0a82b33","resolution":{"observed_at":"2026-08-07T05:38:27.242126Z","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":"2026-08-07T05:38:27.318659Z","title":"A comparative study on enhancing prediction in social network advertisement through data augmentation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.318659Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:7035d619f04508a7076cec3378241e5e6e0e689b3517f9a3acb87de0fcef9bfd","observation_id":"b37320fe-781e-4453-9b79-df87f03939c8","resolution":{"observed_at":"2026-08-07T05:38:27.318659Z","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":"2026-08-07T05:38:27.437029Z","title":"Style transfer: From stitching to neural networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.437029Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:2a547148984775e6b18b0ff58927112a7a8a33083f4f9de3ba102a6e8437618b","observation_id":"edf89644-c621-4707-81a8-8eafe4c1d87d","resolution":{"observed_at":"2026-08-07T05:38:27.437029Z","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":"2026-08-07T05:38:27.509288Z","title":"Graph neural networks: A review of methods and applications,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.509288Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:179f41c7c3cf1013f6bb3764a9adc39d5d3c974593a7f4041323d5d8fa37f87c","observation_id":"a15ccda4-e525-40b0-a0ba-7ae9510bf705","resolution":{"observed_at":"2026-08-07T05:38:27.509288Z","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":"2026-08-07T05:38:29.911643Z","title":"Handling missing sensors in topology-aware iot applications with gated graph neural network,","venue":null,"work_id":"eac50297-ab07-4732-9620-f76d6b829d56","year":2020},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.570292Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:ec28db1ae8cb090babe1ffdffd9129b21087cb8e0ef0095363d472b28bae5304","observation_id":"ca76e42a-75c7-4c9b-9c0a-52c71e4a345e","resolution":{"observed_at":"2026-08-07T05:38:29.997348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:29.713840Z","title":"Influence pathway discovery on social media,","venue":null,"work_id":"0eb9f91c-3506-4163-9f2c-0a37ed1eb11f","year":2023},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.705969Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:a8eee7c0f566b1ceacc25d89a8074e448f6e5975f9b8fabfeaac1f9ba28a7e35","observation_id":"eac144b9-5a7d-440e-99b2-85f167718ade","resolution":{"observed_at":"2026-08-07T05:38:29.822994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.13663","last_updated":"2020-06-17T21:45:09Z","snapshot_observed_at":"2026-07-06T09:08:28.873280Z","submitted_at":"2020-03-30T17:48:04Z","title":"Revisiting Over-smoothing in Deep GCNs","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.13663","snapshot_observed_at":"2026-08-07T05:38:27.776426Z","title":"Revisiting over- smoothing in deep gcns,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.776426Z"},"links":{"cited_paper":"/paper/2003.13663","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:b847993462c518891e921d06a3647e9a9d4a58fd8b496a1d3c19cf26ead0a92a","observation_id":"5af0c448-ce6a-4e1e-9fe5-f5d2caf1148f","resolution":{"observed_at":"2026-08-07T05:38:27.776426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03272","last_updated":"2024-11-18T22:05:04Z","snapshot_observed_at":"2026-07-06T16:27:58.898609Z","submitted_at":"2023-10-05T02:58:29Z","title":"T-GAE: Transferable Graph Autoencoder for Network Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03272","snapshot_observed_at":"2026-08-07T05:38:27.815609Z","title":"T-GAE: Transferable Graph Autoencoder for Network Alignment,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.815609Z"},"links":{"cited_paper":"/paper/2310.03272","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:0625139c5b6532b079aff8cbb6f06367ab1b319567072a1eece0190b5ad92547","observation_id":"a2f2e4ed-7b0a-49d4-8f8e-764d4f770b3e","resolution":{"observed_at":"2026-08-07T05:38:27.815609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17918","last_updated":"2025-01-11T15:26:48Z","snapshot_observed_at":"2026-07-06T18:37:00.469355Z","submitted_at":"2024-06-25T20:00:32Z","title":"GraphSnapShot: Caching Local Structure for Fast Graph Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17918","snapshot_observed_at":"2026-08-07T05:38:27.886547Z","title":"Graphsnapshot: Graph machine learning acceleration with fast storage and retrieval,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.886547Z"},"links":{"cited_paper":"/paper/2406.17918","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:9af40c63015b0a3a172ab80d6d414b2fc97480b053702168b89f5ac274a13e73","observation_id":"bc27cad3-b069-4457-bc99-4167ca938e41","resolution":{"observed_at":"2026-08-07T05:38:27.886547Z","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":"2026-08-07T05:38:29.437619Z","title":"Drtr: Distance-aware graph representation learning,","venue":null,"work_id":"92b00e52-e17d-4095-8919-91882ea3b306","year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:27.962428Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:7884688723b6683a2d242a002cc9324edebe41ec5bed118753d3a91bc4abc4b1","observation_id":"2a872236-c776-47c8-b20e-882c68b1e31f","resolution":{"observed_at":"2026-08-07T05:38:29.574728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:38:29.183544Z","title":"Llmeasyquant: Scalable quantization for parallel and distributed llm inference,","venue":null,"work_id":"d7412089-4211-4503-89ab-51a5299c8ada","year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:28.036247Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:2d59ddd7d044d9fcaedb70a0ac5c9b076f9567f804f7b35526930c6b1ecd3197","observation_id":"e9604110-b57c-4cf8-858b-c50cae1d7b63","resolution":{"observed_at":"2026-08-07T05:38:29.310562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.01990","last_updated":"2025-04-14T07:09:15Z","snapshot_observed_at":"2026-07-06T19:09:50.836734Z","submitted_at":"2024-09-03T15:35:01Z","title":"Designing Large Foundation Models for Efficient Training and Inference: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.01990","snapshot_observed_at":"2026-08-07T05:38:28.131425Z","title":"Contemporary model compression on large language models inference,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:28.131425Z"},"links":{"cited_paper":"/paper/2409.01990","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:16c934ffb78f6141fae24eec557ecb3bd60f6ed4dc762fae576f95d0fd54f861","observation_id":"1edceeba-caa0-4d5a-a285-9c7008dfc716","resolution":{"observed_at":"2026-08-07T05:38:28.131425Z","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":"2026-08-07T05:38:28.181806Z","title":"Fast- cache: Fast caching for diffusion transformer through learnable linear approximation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:28.181806Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:e1a79720027273bc25dacc66c95614d725723b74d8631ded9cbc9606cd795453","observation_id":"8119e3ef-8793-48da-9f43-d27807a8592f","resolution":{"observed_at":"2026-08-07T05:38:28.181806Z","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":"2026-08-07T05:38:28.255611Z","title":"Mitigating the risk of health inequity exacerbated by large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:28.255611Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:f0f023dc0466db565ad0b1a60cc90bf9f42f3ee0645a252198054500d4d3b444","observation_id":"a2ca06b5-e05e-4e18-abc9-af105517dbc3","resolution":{"observed_at":"2026-08-07T05:38:28.255611Z","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":"2026-08-07T05:38:28.963923Z","title":"Unveiling markov heads in pretrained language models for offline re- inforcement learning,","venue":null,"work_id":"01a12446-b770-42f7-ae3c-86a89a6d4571","year":2025},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:28.370352Z"},"links":{"citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:2c0227be32cb86f65a27efb29452edc1cc3a3305371b12afe6e72833201fd110","observation_id":"0762b5dc-f428-4e20-bf51-5325ef1c458e","resolution":{"observed_at":"2026-08-07T05:38:29.056522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07806","last_updated":"2026-05-13T10:55:50Z","snapshot_observed_at":"2026-07-06T17:43:22.965126Z","submitted_at":"2024-03-12T16:43:55Z","title":"A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07806","snapshot_observed_at":"2026-08-07T05:38:28.422133Z","title":"A stochastic gda method with backtracking for solving nonconvex (strongly) concave minimax problems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:28.422133Z"},"links":{"cited_paper":"/paper/2403.07806","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:bc2f1eadb95db30f1ec5707490c908c461a958016f9a5001c5c9e46c4e3fd86c","observation_id":"5715ba28-daf0-4a16-a551-914df9733b21","resolution":{"observed_at":"2026-08-07T05:38:28.422133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14371","last_updated":"2025-01-29T02:27:54Z","snapshot_observed_at":"2026-07-06T18:34:15.291938Z","submitted_at":"2024-06-20T14:42:16Z","title":"AGDA+: Proximal Alternating Gradient Descent Ascent Method with a Nonmonotone Adaptive Step-Size Search for Nonconvex Minimax Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14371","snapshot_observed_at":"2026-08-07T05:38:28.505480Z","title":"Agda+: Proximal alternating gradient descent ascent method with a nonmonotone adaptive step-size search for nonconvex minimax problems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:38:28.505480Z"},"links":{"cited_paper":"/paper/2406.14371","citing_paper":"/paper/2506.07407"},"observation_digest":"sha256:80c4230bf0015d6ffb60b59ef563215085bb486346efac6f1f9412c71af596d7","observation_id":"573a0b3b-5da5-4bc5-8250-2b3704c62512","resolution":{"observed_at":"2026-08-07T05:38:28.505480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.07407","last_updated":"2025-06-09T04:00:23Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T05:32:22.155682Z","submitted_at":"2025-06-09T04:00:23Z","title":"Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":44},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.07407."}