{"as_of":"2026-08-07T04:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7f0f151cdb1365e8b64da3a39161cc34e577777b70342443d6ce6c1bc2d3e299","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T03:32:53.690026Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2605.08763/citation-record","integrity":"/paper/2605.08763/integrity","json":"/paper/2605.08763/citation-record.json","paper":"/paper/2605.08763"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Securefalcon: Are we there yet in automated software vulnerability detection with llms?","venue":null,"work_id":"b230be52-6d65-4936-bcb4-0672f137d039","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:330b00b01b3f6a76460e8d9e5c94d570de26e8f91c285f8ae2e690b4fc37d9fa","observation_id":"359f98c0-2bcc-448b-aea5-0c9ca13e381a","resolution":{"observed_at":"2026-05-12T19:16:47.831348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Cve-llm: Ontology-assisted automatic vulnerability evaluation using large language models","venue":null,"work_id":"aafb7b4f-c3df-4dc1-8be9-c1fe21bcc0e8","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:af788b6ad8eab6b49802f95ff182328e70bbac6cf11591f1818c4c404154bef9","observation_id":"fd7b7197-1065-4f50-ba06-8f1aea9c8a67","resolution":{"observed_at":"2026-05-12T19:16:47.839144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Benchmarking llms and llm-based agents in practical vulnerability detection for code repositories","venue":null,"work_id":"3d742b69-bd72-4556-8e38-c4e4b3bc3c87","year":null},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:03fd7c1387575d23ff29fff6592147c751de95d857b793225cbebc5f1114802d","observation_id":"a1d53450-03c8-4f14-9aa1-8cfc609be01f","resolution":{"observed_at":"2026-05-12T19:16:48.030715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"{LLMxCPG}:{Context-Aware}vulnerability detection through code property{Graph-Guided}large language models","venue":null,"work_id":"75f235bb-37de-4c47-8945-ee25d8c904ed","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:9634c9d86c489b7a28686372fda6520b7c137dd8e22958266bbe9a8eb84f9519","observation_id":"4d2f2a20-220f-4e7f-833d-8784981b589c","resolution":{"observed_at":"2026-05-12T19:16:48.035469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Expert insights into advanced persistent threats: Analysis, attribution, and challenges","venue":null,"work_id":"c02b59b9-31ac-4233-aaaa-989a29ee88f3","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:4e13711755f8776e2d78e038fe7d1d26305dbe17ceb9f1a1ad5956f1239d1a93","observation_id":"8c40ae0b-2af2-47ae-a911-3d724a3ef7ef","resolution":{"observed_at":"2026-05-12T19:16:48.052949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A survey of intrusion detection techniques for cyber-physical systems","venue":null,"work_id":"436b6c85-ef83-4388-be4e-be5b2f3494d6","year":2014},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:f38339b503f9bf3ed34771181e845a62c4f5a4bed6d398eacb9bf65828b381a5","observation_id":"819b4287-d91f-4197-8ada-bec1cf1ae4da","resolution":{"observed_at":"2026-05-12T19:16:47.938819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A survey of data mining and machine learning methods for cyber security intrusion detection","venue":null,"work_id":"2e86e370-700b-4752-9ba3-0f6951ec003b","year":2015},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:664de3bfb8fdd2d0c89b3b7b2e33131f78af5dcc16c642ff24827564d465ee5b","observation_id":"f401cc81-0dcb-4185-b7f2-8f2c9410dc25","resolution":{"observed_at":"2026-05-12T19:16:47.923386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"We have a package for you! a comprehensive analysis of package hallucinations by code generating{LLMs}","venue":null,"work_id":"3460a5d0-f1ae-400f-a5e3-505fb33e1c17","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:1afa03eeb795473e0bcaa675f9055a05d0de78cf8dd713d81819d5935a5b58ee","observation_id":"9a9cd146-9d5e-4c4d-8a05-6315a005dcb4","resolution":{"observed_at":"2026-05-12T19:16:47.933771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-05T10:40:55.844956Z","title":"Llm-check: Investigating detection of hallucinations in large language models","venue":null,"work_id":"92875a5d-d45f-4742-8531-e80439e3a9f0","year":2024},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:b1d1b12b291c059f0efad33c453af18716360f210d19c90577089981c8ac8914","observation_id":"dbd087bf-b2a5-471a-bdff-3e0d343294f2","resolution":{"observed_at":"2026-05-12T19:16:47.915941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Flashdecoding++next: High throughput llm inference with latency and memory optimization","venue":null,"work_id":"aaaa61c2-7578-4881-b253-ff2f077e456f","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:735b48a9c054e8b1f1801a89de4fdc2878d67ec7498df7d003fb181457ab8ae0","observation_id":"dd406e47-f738-4096-a82d-ba6bc8e0d4b8","resolution":{"observed_at":"2026-05-12T19:16:47.910613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Teams of llm agents can exploit zero-day vulnerabilities","venue":null,"work_id":"f88c7490-131b-4a32-8d5f-9d9c3fac5822","year":2026},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:cd59da6ccddb3cb2357a6ed2edd1a7f59e1dfa247604c1eea87044f3e3081594","observation_id":"2752cf1b-b850-4f50-bf1f-ec41bea0922b","resolution":{"observed_at":"2026-05-12T19:16:47.928166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.02164","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T08:29:42.443466Z","title":"Co-redteam: Orchestrated security discovery and exploitation with llm agents","venue":null,"work_id":"83b118a9-2dfd-4952-9dbd-5ca320b6d9ac","year":2026},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:3e5d4744134ad6676e97c12f3e532983d83d98db8a7062dc4e63a9603d459c32","observation_id":"5adf5413-fcc2-4bab-803e-9cdab86da439","resolution":{"observed_at":"2026-05-12T07:16:29.862435Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Liva: A multi-agent llm-assisted system for iot vulnerability analysis","venue":null,"work_id":"1505d351-4f28-47f9-a3c9-672a7e3b2162","year":2026},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:2b2687df64ba5bb9201b6ff4805f21cb22e3efc52f7dcc255afc8a1a9eddd5d7","observation_id":"d3c98e72-ce2b-44ce-8ea1-f24eb228c42b","resolution":{"observed_at":"2026-05-12T19:16:48.019517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Agentchain: Blockchain-empowered multi-agent coordination for trustworthy llm question-answering systems","venue":null,"work_id":"d0547010-ca02-484d-9727-fa498b82f11a","year":2026},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:754a6e31900ceddfb5115b9deac594a1d34165c688cb063acaba21f01a25d28a","observation_id":"965554d7-aad1-4842-9a19-e7b373f70e20","resolution":{"observed_at":"2026-05-12T19:16:48.047828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Game theory and multi- agent reinforcement learning","venue":null,"work_id":"bf647a84-7a5f-4897-830a-15687260734b","year":2012},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:b410cba5ca58d57d3ff6a2084d9bb1225d024080304fab6cab2f2e19b913f615","observation_id":"b9ed6b64-c7af-4b3d-af75-81a12a3774b9","resolution":{"observed_at":"2026-05-12T19:16:48.041232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Game theoretical applications for multi-agent sys- tems","venue":null,"work_id":"a78e5b97-50f7-4890-940c-89da33e0f4c3","year":2012},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:5d46d655f01fbffd702c2b83e197b233fcd2f840c94b1406d93eda7eac702dfe","observation_id":"7b0286ec-2620-4746-a939-222628267f55","resolution":{"observed_at":"2026-05-12T19:16:47.884052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A hierarchical game-theoretic decision- making for cooperative multiagent systems under the presence of adver- sarial agents","venue":null,"work_id":"b37e4ecb-81f9-43a3-92d9-df663d0ae4d2","year":2023},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:26e2dba76f29814b0f9d7d63847b7e2c5f52b84f8937eb671ee22a4e58890e86","observation_id":"c05457bb-4fa1-496e-8dd4-83bee74a2774","resolution":{"observed_at":"2026-05-12T19:16:47.896731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A game-theoretic framework for managing risk in multi-agent systems","venue":null,"work_id":"d28d3fc6-6f19-4430-ba5d-dc2f6dd16b4f","year":2023},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:f0cac7be21c110193d5f6cdaa9cde42eafc9cd0ba2d69f0997e01e196703bab2","observation_id":"fdc415f9-36aa-48e5-bda0-d1fabe88d938","resolution":{"observed_at":"2026-05-12T19:16:47.876826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Optimal robust formation of multi-agent systems as adversarial graphical apprentice games with inverse reinforcement learning","venue":null,"work_id":"8ba55ef0-c932-4ba5-9593-5815194f89ac","year":2024},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:bb20933dffdad8b4acdc303c2226324ea885563ba2783a7663a66498c5f0d754","observation_id":"e044911f-20b4-4c87-8aba-7ef961bf1fd3","resolution":{"observed_at":"2026-05-12T19:16:47.890922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.18563","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The trust paradox in llm-based multi-agent systems: When collaboration becomes a security vulnerability","venue":null,"work_id":"3e12da5a-d62c-4fbe-9be3-b5882ede66b8","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:e2a087b016409e3c5d2e15d62b2a503e8e6ef59fd1c771e63724246fab3662a5","observation_id":"6b20d006-eb4b-4ad9-a42a-64fd1ed92b69","resolution":{"observed_at":"2026-05-12T07:16:29.868168Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A robust mean-field actor-critic reinforcement learning against adversarial perturbations on agent states","venue":null,"work_id":"10191c5b-ca11-4827-ac9f-beb8dce9358a","year":2023},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:3ae625f780dab1a6c7b276d48de0eb8565b670e679b5d35511208205f389901e","observation_id":"178934f2-fe76-45a8-af6d-b680251ff788","resolution":{"observed_at":"2026-05-12T19:16:47.862343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Where will they go? predicting fine-grained adversarial multi-agent motion using conditional variational autoencoders","venue":null,"work_id":"96bbb852-19bc-4c86-bf6a-8506816ccc5d","year":2018},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:85950688f88319e0ea1268a830a3c71efb1c7cfe34635ea94d8fd0231ce6fd8c","observation_id":"ff230780-0f94-49f9-80e0-10ff7568cb41","resolution":{"observed_at":"2026-05-12T19:16:47.866792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Zero-shot autonomous vehicle policy transfer: From simulation to real-world via adversarial learning","venue":null,"work_id":"5d14f4b6-92a8-4f6a-894b-4d3f12f9d3e1","year":2020},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:78f985cd2391d685ab768b5cdf96547bc30621d7b31515bd20b735c7700bef1b","observation_id":"8478cc8e-b36d-48da-b3f5-cecdee62ee5f","resolution":{"observed_at":"2026-05-12T19:16:47.850856Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Certifiably robust policy learning against adversarial multi- agent communication","venue":null,"work_id":"4afec6c9-e212-433a-9094-609d10d4e713","year":2022},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:00176670d706c620878a89ac43113fb231cce8749c04b52bb523925f59a1b455","observation_id":"d373e6a2-6802-4cda-ba90-9cde3f3e406f","resolution":{"observed_at":"2026-05-12T19:16:47.846453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Coordinated llm multi-agent systems for collaborative question-answer generation","venue":null,"work_id":"edfb126f-3563-477a-8311-0023710e75ed","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:69cfb6afab7154ffd99dc489eb9b9e3c0ca519391721f97316330c618504b32b","observation_id":"69d12356-393b-46a6-91e7-972383705514","resolution":{"observed_at":"2026-05-12T19:16:47.857629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Autohma-llm: Efficient task coordination and execution in heteroge- neous multi-agent systems using hybrid large language models","venue":null,"work_id":"d28bb0e9-acc6-41cf-9d57-c1f02da17011","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:c288b66f1b7e8a2677b7aaaaeb17c31d0ea872d8354dd432882e929a5a88dd34","observation_id":"218f3740-b0f7-442d-912e-7f6852d1c366","resolution":{"observed_at":"2026-05-12T19:16:47.871675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead","venue":null,"work_id":"f4c1b1b2-9bf1-4dc8-8ca5-321977717683","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:d18aad522d14d17863e951d261dc218118bb0f756fe1432c7cb52b5151695ca4","observation_id":"97d643a3-d68a-4c8f-bb6e-14b1c88ea665","resolution":{"observed_at":"2026-05-12T19:16:47.903516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Advanced smart contract vulnerability detection via llm-powered multi-agent systems","venue":null,"work_id":"82cb2ffb-e716-462f-a4d9-05bd08e15d8b","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:dad871565d8c051a66b4dd62a5aad3f907a1c0f07588a7fab0f5d5ce269305e1","observation_id":"dd36b291-0199-465e-a27a-3a7ff8fb0bcf","resolution":{"observed_at":"2026-05-12T19:16:47.944655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Towards transparent and incentive-compatible collaboration in decentralized llm multi-agent systems: A blockchain-driven approach","venue":null,"work_id":"f1abcd54-6e38-4a82-bc9d-6260bd0e41fb","year":2026},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:938c89405bb2acab1b609995a2d9b7f25a91c4a7b7b132051067327a304f67e4","observation_id":"af177b76-4a70-430b-9db3-0e498138a8cf","resolution":{"observed_at":"2026-05-12T19:16:47.966516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Many heads are better than one: Improved scientific idea generation by a llm-based multi-agent system","venue":null,"work_id":"004ec5b2-667a-4976-b4f2-19f8c12dad2b","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:58ef5453a045c8f394d920178d3fa6844de1d0b354d49d818ab2a09e234316a0","observation_id":"6077ddb7-9b34-44e4-98fa-0c1a58de9858","resolution":{"observed_at":"2026-05-12T19:16:47.990817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making","venue":null,"work_id":"6582dd2b-6446-4979-8ef5-f450bd4a8fb6","year":2024},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:c65af3876f4f7c299f5f37f8641f6683567bb909f6a11f273dccf4b32d5c5f2b","observation_id":"b8b70c78-abc6-4620-81fb-a927bd3c47d1","resolution":{"observed_at":"2026-05-12T19:16:48.060428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Insight agents: An llm- based multi-agent system for data insights","venue":null,"work_id":"5f048634-f57b-4944-b423-0f586d90778d","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:27af143000c21ca5ad2778ba56b52b45654f6c9fa75c45420cddb3bd660f693e","observation_id":"ba3179ca-fb89-4a26-a013-12ae786142ee","resolution":{"observed_at":"2026-05-12T19:16:48.002245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Eduplanner: Llm-based multi-agent systems for customized and intelligent instruc- tional design","venue":null,"work_id":"7e424c74-392f-480f-8918-f43353db0564","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:75ae242c78a3dc4f08aaf6d84bb8a27eea35305300553b05e2021cefee6e5021","observation_id":"025bc649-4433-4817-8373-f8fe55d9f2c2","resolution":{"observed_at":"2026-05-12T19:16:48.007174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Masa: Llm-driven multi-agent systems for autoformalization","venue":null,"work_id":"5b0d51be-07ca-483a-a29d-88a10ddd48ef","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:f7ab4672bc1621b47c5cb68195a391a847bbb0a7c2fd9cfbee82c0a4ce7063ba","observation_id":"504478c2-2a16-41cf-8552-31c8af6ff4d4","resolution":{"observed_at":"2026-05-12T19:16:48.024843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Llm-based multi-agent systems are scalable graph generative models","venue":null,"work_id":"76069cc1-b14f-4424-9b52-aa744195fb81","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:bcea24a71cbb418ead22e923aa908aa40a3bc712bee028c8eeea6a3645c6eac8","observation_id":"abb6a32b-d6b2-4c74-ba8a-97b894bc7534","resolution":{"observed_at":"2026-05-12T19:16:48.065977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Large language model enhanced multi-agent systems for 6g communications","venue":null,"work_id":"02025ee7-bcf1-4ae1-ae21-86478bdaa44f","year":2024},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:0c7657f2291220a1d5267979a811893c85ba4e4953491eccfe6333c7da8fb391","observation_id":"04000155-5bac-413c-8e8b-18b2e0432780","resolution":{"observed_at":"2026-05-12T19:16:47.977804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Towards efficient llm grounding for embodied multi-agent collaboration","venue":null,"work_id":"bbd25766-5bf7-4742-8340-7fd076e70a67","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:dd432c1bc2d9749e4e8c768e5c361cf6b40819188f894b78f3c54aa885a7559a","observation_id":"92271156-bd16-49d8-a4f2-d71e80fe2850","resolution":{"observed_at":"2026-05-12T19:16:47.984476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Red-teaming llm multi-agent systems via communication attacks","venue":null,"work_id":"57a7e402-9039-406a-9604-d97c57d87759","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:9cfbdad105ed7765d03a72bd0a0416ca9b1fe554bae9c96240d3ccd601f80728","observation_id":"5984e4c8-df7a-4089-8efa-7757df94157c","resolution":{"observed_at":"2026-05-12T19:16:47.972663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Agents under siege: Breaking pragmatic multi-agent llm systems with optimized prompt attacks","venue":null,"work_id":"bea37836-376f-4ca2-a3d7-bd40c0f9de7e","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:a50232845302ca2e6c8f87cd99c9e60ef88568f8e02842d74ff072af8493f2ac","observation_id":"c2293857-87b4-4ede-ba38-3c3b3f4d219d","resolution":{"observed_at":"2026-05-12T19:16:47.953948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"G-safeguard: A topology-guided security lens and treatment on llm-based multi-agent systems","venue":null,"work_id":"c5abaeb3-7799-4fbd-bcd5-dc6d9900e7e6","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:9c0d22f1b1eecf784d65701e7fd31fb4abf621a37423a2eb77c7ad292363f016","observation_id":"d798aca5-e17e-414d-acec-d61df300e6db","resolution":{"observed_at":"2026-05-12T19:16:47.961859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Masrouter: Learning to route llms for multi-agent systems","venue":null,"work_id":"da49dfc8-62fd-4f74-9933-dee2f7ba8319","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:a73e224f77c5987766aced9bb3065cd9ea48ab97bc3aee9deda64a8f1b3ffd28","observation_id":"7e2df8d9-48ec-4e14-9ecd-f37f83ab912d","resolution":{"observed_at":"2026-05-12T19:16:48.012896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Agenttaxo: Dissecting and benchmarking token distribution of llm multi-agent systems","venue":null,"work_id":"a647e518-c824-4052-8a71-61bf492bfb8f","year":2025},"citing_paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-12T03:32:53.690026Z"},"links":{"citing_paper":"/paper/2605.08763"},"observation_digest":"sha256:c08596241477e3a265cf258816e469b0eadd5e76205c5de951392727e3b6ca46","observation_id":"267a093a-9ed9-4342-b329-cf82a8e0393f","resolution":{"observed_at":"2026-05-12T19:16:47.996954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.08763","last_updated":"2026-05-09T07:47:42Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-01T00:43:16.459308Z","submitted_at":"2026-05-09T07:47:42Z","title":"When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":40},"total_outbound_references":42},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2605.08763."}