{"as_of":"2026-08-08T23:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18bb87aab18bb5fa005fb44cd267adb4883acb9a7728606f6eea65b0b03a76db","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":34,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T23:10:11.131067Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":15,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2412.04984","last_updated":"2025-01-14T20:16:01Z","snapshot_observed_at":"2026-07-29T23:20:20.918596Z","submitted_at":"2024-12-06T12:09:50Z","title":"Frontier Models are Capable of In-context Scheming","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-16T14:22:01.616448Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2412.04984"},"observation_digest":"sha256:337052c38fb88f0e563b6b1c95e1f5ecc40042dada6eee6dcf5a83cecb5ca54e","observation_id":"87323e02-2728-4785-995e-eb445eba0896","resolution":{"observed_at":"2026-05-16T14:22:01.685978Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-08T23:10:11.131067Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04227","last_updated":"2025-09-11T12:26:33Z","snapshot_observed_at":"2026-08-08T23:03:11.306261Z","submitted_at":"2025-02-06T17:12:43Z","title":"Can LLMs Hack Enterprise Networks? Autonomous Assumed Breach Penetration-Testing Active Directory Networks","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-08T23:10:11.131067Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2502.04227"},"observation_digest":"sha256:bf0244ca62d99f04a0c13c626325e64b21a7595c00b4e3ff723598ff5d252096","observation_id":"f880ee16-86ba-4444-b18b-ee1fcd3e7f2b","resolution":{"observed_at":"2026-08-08T23:10:11.131067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-07T23:23:49.817436Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08886","last_updated":"2025-02-13T01:55:43Z","snapshot_observed_at":"2026-08-07T23:17:32.270066Z","submitted_at":"2025-02-13T01:55:43Z","title":"Generative AI for Internet of Things Security: Challenges and Opportunities","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T23:23:49.817436Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2502.08886"},"observation_digest":"sha256:52a5991efe1ee49c642500878f414ccaa8f47e9003037eb19e92b86a7545ef33","observation_id":"017076ff-676b-4323-a8d8-053f2104c8b0","resolution":{"observed_at":"2026-08-07T23:23:49.817436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-07T20:40:34.256456Z","title":"CRIAttack Steps","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.09755","last_updated":"2026-06-02T09:20:34Z","snapshot_observed_at":"2026-08-07T20:33:01.836421Z","submitted_at":"2025-02-13T20:25:40Z","title":"Jailbreak Attack Initializations as Extractors of Compliance Directions","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T20:40:34.256456Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2502.09755"},"observation_digest":"sha256:8be0a927f0df7a72ab4017fb5262e4536c7ef81124700093f12fbff4f6b3d30b","observation_id":"18daecac-1de2-4fbc-9441-712e0b75f9da","resolution":{"observed_at":"2026-08-07T20:40:34.256456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-07T14:01:10.162800Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20186","last_updated":"2025-05-26T16:29:21Z","snapshot_observed_at":"2026-08-08T16:17:54.466530Z","submitted_at":"2025-05-26T16:29:21Z","title":"Eradicating the Unseen: Detecting, Exploiting, and Remediating a Path Traversal Vulnerability across GitHub","version":1},"reference_index":122,"source":"pdf_text","source_observed_at":"2026-08-07T14:01:10.162800Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2505.20186"},"observation_digest":"sha256:353c2e6003679b9421d0a1c46071fb795de16ed75f4272bcbff923eb2dfba8dc","observation_id":"e631aa94-917c-4296-9e0b-6ceeacf1866c","resolution":{"observed_at":"2026-08-07T14:01:10.162800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-07T10:35:15.916106Z","title":"Stokes, Geoff McDonald, Xuesong Bai, David Marshall, Siyue Wang, Adith Swaminathan, and Zhou Li","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04962","last_updated":"2026-06-28T09:23:55Z","snapshot_observed_at":"2026-08-07T10:27:10.848359Z","submitted_at":"2025-06-05T12:37:33Z","title":"PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:35:15.916106Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2506.04962"},"observation_digest":"sha256:3613819cf9dd646d377dadfb26e4001b6255e6661d2f052c6c87738a5d9ba21d","observation_id":"468b374f-bb1a-44c7-9646-eb849beee30f","resolution":{"observed_at":"2026-08-07T10:35:15.916106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-07T05:10:20.153260Z","title":"Autoattacker: A large language model guided system to implement automatic cyber-attacks.arXiv preprint arXiv:2403.01038, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08693","last_updated":"2026-07-29T07:05:45Z","snapshot_observed_at":"2026-08-08T13:37:42.152205Z","submitted_at":"2025-06-10T11:11:55Z","title":"Recognition Without Mitigation: Ethical Frameworks in Autonomous Offensive-LLM Agent Research","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:10:20.153260Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2506.08693"},"observation_digest":"sha256:f86a31537d6bd7d8bcf29830e1e1187533dff5a215cbcd205af14d9376d50a2e","observation_id":"1fab0619-8af1-45c7-b65b-13f0e8de93e6","resolution":{"observed_at":"2026-08-07T05:10:20.153260Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-06T21:10:06.716103Z","title":"Autoattacker: A large language model guided system to implement automatic cyber-attacks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00829","last_updated":"2025-07-01T15:01:18Z","snapshot_observed_at":"2026-08-08T03:47:45.535102Z","submitted_at":"2025-07-01T15:01:18Z","title":"On the Surprising Efficacy of LLMs for Penetration-Testing","version":1},"reference_index":114,"source":"pdf_text","source_observed_at":"2026-08-06T21:10:06.716103Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2507.00829"},"observation_digest":"sha256:dbc5706e15ad36081f593317374d6842f6aad6360616087da80addc55069ff52","observation_id":"0f9af33f-9d4a-45a5-b33d-a2561c4d9420","resolution":{"observed_at":"2026-08-06T21:10:06.716103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-06T20:45:53.362578Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02057","last_updated":"2025-07-02T18:00:49Z","snapshot_observed_at":"2026-08-06T20:36:51.169138Z","submitted_at":"2025-07-02T18:00:49Z","title":"MGC: A Compiler Framework Exploiting Compositional Blindness in Aligned LLMs for Malware Generation","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:53.362578Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2507.02057"},"observation_digest":"sha256:d62ae693d0b67f6177112ff7663f35a52051be5fadfbae015fb7d8fe3dca8bce","observation_id":"04c161eb-c2ee-4ffd-bc05-10629c5da853","resolution":{"observed_at":"2026-08-06T20:45:53.362578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-06T17:29:58.851040Z","title":"Autoattacker: A large language model guided system to implement automatic cyber-attacks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10873","last_updated":"2025-07-15T00:24:53Z","snapshot_observed_at":"2026-08-06T17:20:32.104586Z","submitted_at":"2025-07-15T00:24:53Z","title":"From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T17:29:58.851040Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2507.10873"},"observation_digest":"sha256:25534ff0c6f2da670ef1c53dffd91fcc0f42158485f59fd92e17aae30dc678aa","observation_id":"50cf2013-9dd2-4a06-b1de-2683af952af4","resolution":{"observed_at":"2026-08-06T17:29:58.851040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-06T17:48:02.764469Z","title":"Intercode: Standardizing and benchmarking interactive coding with execution feedback,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21113","last_updated":"2025-07-14T06:19:17Z","snapshot_observed_at":"2026-08-06T17:40:32.752222Z","submitted_at":"2025-07-14T06:19:17Z","title":"Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T17:48:02.764469Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2507.21113"},"observation_digest":"sha256:c01c6615263cb21205900e941129776d1b81c3a18a89343341397af0be71c753","observation_id":"3f4ae374-65b9-4ff8-b5cb-5d901f88c6cf","resolution":{"observed_at":"2026-08-06T17:48:02.764469Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-06T12:43:16.870238Z","title":"Autoattacker: A large language model guided system to implement automatic cyber-attacks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21538","last_updated":"2025-07-29T07:11:11Z","snapshot_observed_at":"2026-08-07T12:03:12.970463Z","submitted_at":"2025-07-29T07:11:11Z","title":"Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T12:43:16.870238Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2507.21538"},"observation_digest":"sha256:a5aaaebf04b36c9ebad985f0c03b5e2a9046f53f708225f115734b8149e98882","observation_id":"463f0234-ec18-432e-aacb-87382cb08d9d","resolution":{"observed_at":"2026-08-06T12:43:16.870238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2509.13021","last_updated":"2026-04-27T11:42:26Z","snapshot_observed_at":"2026-08-07T01:09:56.608215Z","submitted_at":"2025-09-16T12:45:45Z","title":"xOffense: An Autonomous Multi-Agent Framework for Penetration Testing with Domain-Adapted Large Language Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T16:38:45.171505Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2509.13021"},"observation_digest":"sha256:a748555dd7c18dc3332df11aaac44611118b9b48a9900313bb69c5a09248fb5f","observation_id":"49b3c049-77b5-4976-9b7e-e6676262caa7","resolution":{"observed_at":"2026-05-18T16:41:38.200655Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-04T00:09:35.812498Z","title":"Autoattacker: A large language model guided system to implement automatic cyber- attacks.arXiv preprint arXiv:2403.01038, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.02780","last_updated":"2026-02-23T13:17:25Z","snapshot_observed_at":"2026-08-08T06:24:41.301734Z","submitted_at":"2025-11-04T18:03:12Z","title":"PoCo: Agentic Proof-of-Concept Exploit Generation for Smart Contracts","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T00:09:35.812498Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2511.02780"},"observation_digest":"sha256:171b91e3b6257a11fc77aad45425de515ec7beff92549b14b2d7c621785a7861","observation_id":"ed7d8b14-5d4f-4cba-b8f4-1cef3c35b333","resolution":{"observed_at":"2026-08-04T00:09:35.812498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2512.22753","last_updated":"2026-04-22T21:48:07Z","snapshot_observed_at":"2026-08-08T22:14:34.218223Z","submitted_at":"2025-12-28T02:55:49Z","title":"From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-16T20:02:47.746439Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2512.22753"},"observation_digest":"sha256:a914e43db8c8660a3c1b49555dbfd381aaa52814d56cac8f66ed5021941990ff","observation_id":"4549d868-2d27-4c68-971f-025719467361","resolution":{"observed_at":"2026-05-16T20:03:22.185162Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-07-13T09:27:26.581889Z","title":"AutoAttacker: A large language model guided system to implement automatic cyber- attacks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.05439","last_updated":"2026-06-30T01:08:02Z","snapshot_observed_at":"2026-07-22T23:19:06.197639Z","submitted_at":"2026-04-07T05:19:59Z","title":"Scale-free congestion clusters in large-scale traffic networks: a continuum modeling study","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-13T09:27:26.581889Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2604.05439"},"observation_digest":"sha256:3085796a68bac0569d32e6fe6c2153c0f9432cce45ac8a3244e8f02e95f93b73","observation_id":"c3eac0eb-ea06-4350-8902-713011f91ff5","resolution":{"observed_at":"2026-07-13T09:27:26.581889Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2604.05440","last_updated":"2026-04-07T05:22:25Z","snapshot_observed_at":"2026-08-03T03:45:23.098897Z","submitted_at":"2026-04-07T05:22:25Z","title":"LanG -- A Governance-Aware Agentic AI Platform for Unified Security Operations","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T19:53:05.325203Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2604.05440"},"observation_digest":"sha256:228cb3b3f13c36fefb3e8ee6ceb84d10babf8e1b4864d788a251bf9471aaa98c","observation_id":"9acd55f8-b52e-4b29-b3a7-669c997a70c4","resolution":{"observed_at":"2026-05-10T22:25:51.473129Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2604.05719","last_updated":"2026-04-07T11:19:16Z","snapshot_observed_at":"2026-08-02T08:12:46.257370Z","submitted_at":"2026-04-07T11:19:16Z","title":"Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing","version":1},"reference_index":121,"source":"pdf_text","source_observed_at":"2026-05-10T18:52:57.225878Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2604.05719"},"observation_digest":"sha256:16591b54521c729b0ae0c55ddc40a14f2103684c85f42141ed68a7c7419d6a0b","observation_id":"c1b08f4e-3617-4153-988f-ad7686f98fb4","resolution":{"observed_at":"2026-05-10T23:45:52.848940Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2604.06019","last_updated":"2026-04-07T16:16:59Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-07T16:16:59Z","title":"CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T19:32:57.161371Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2604.06019"},"observation_digest":"sha256:86123da94af617d2f0fa22411ecb5125b66cfd20c31d4756f9060d19f62a5b8e","observation_id":"04884097-703e-4c45-a1c0-0b3a2c7fc433","resolution":{"observed_at":"2026-05-10T19:35:44.730288Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2604.27143","last_updated":"2026-04-29T19:54:27Z","snapshot_observed_at":"2026-08-06T02:38:48.975712Z","submitted_at":"2026-04-29T19:54:27Z","title":"Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-07T09:47:52.767727Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2604.27143"},"observation_digest":"sha256:62a067437d085cd444c7964e352c518e65873c43b03422aa95f06728a0ed0c2a","observation_id":"7ed9ddc6-e060-4b7b-b89e-66984ade10d7","resolution":{"observed_at":"2026-05-12T09:41:26.713634Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2605.00741","last_updated":"2026-05-01T15:42:54Z","snapshot_observed_at":"2026-08-08T14:23:25.943740Z","submitted_at":"2026-05-01T15:42:54Z","title":"Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-09T19:04:48.453055Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2605.00741"},"observation_digest":"sha256:2e762d27b9bcd26b208bff001914447a387779c5e4919ebcd49e9918893a90f9","observation_id":"8f3b276a-32fe-4882-b8cd-1df86eaa841f","resolution":{"observed_at":"2026-05-11T15:51:44.481352Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2605.02346","last_updated":"2026-05-04T08:47:28Z","snapshot_observed_at":"2026-07-06T23:15:27.816549Z","submitted_at":"2026-05-04T08:47:28Z","title":"APIOT: Autonomous Vulnerability Management Across Bare-Metal Industrial OT Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-08T18:03:04.519514Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2605.02346"},"observation_digest":"sha256:a94c88777bf2e3b347d7c145445ab893b09f071af57ddd9fc6e499e686759f06","observation_id":"58ae8c4c-dd81-46d9-b344-efbae741c065","resolution":{"observed_at":"2026-05-09T06:50:41.231591Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2605.04499","last_updated":"2026-05-06T05:02:40Z","snapshot_observed_at":"2026-08-02T17:29:05.161054Z","submitted_at":"2026-05-06T05:02:40Z","title":"Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-08T17:48:09.078064Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2605.04499"},"observation_digest":"sha256:6ac3bd6cde7e1b6607040d33554177635ed425c0e1d6a45aba3d77bf7216686e","observation_id":"32aa2d9d-b9a1-421b-b01d-11729984c50e","resolution":{"observed_at":"2026-05-11T17:11:18.578675Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2605.06486","last_updated":"2026-05-07T16:07:41Z","snapshot_observed_at":"2026-08-02T21:44:55.115745Z","submitted_at":"2026-05-07T16:07:41Z","title":"Autonomous Adversary: Red-Teaming in the age of LLM","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T09:09:58.566171Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2605.06486"},"observation_digest":"sha256:6a2593d717c826fd43daa50f166aab68e8c7fd719638faba40586f77fbded500","observation_id":"f0b45f90-8f0b-44ef-b59f-a6e3682f9e12","resolution":{"observed_at":"2026-05-11T20:26:10.536094Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2605.07830","last_updated":"2026-05-08T14:57:53Z","snapshot_observed_at":"2026-07-06T23:20:11.042952Z","submitted_at":"2026-05-08T14:57:53Z","title":"CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-11T01:54:46.391345Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2605.07830"},"observation_digest":"sha256:1183e84aec9619482b5f5580c30708f92df5c45df1c6d74d4c332274907c73b6","observation_id":"8d7a2e79-2f86-4371-9057-6c92e40136e0","resolution":{"observed_at":"2026-05-11T04:10:57.315417Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2605.21694","last_updated":"2026-05-20T19:52:24Z","snapshot_observed_at":"2026-07-06T23:32:05.693503Z","submitted_at":"2026-05-20T19:52:24Z","title":"PocketAgents: A Manifest-Driven Library of Autonomous Defense Agents","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-22T09:19:26.725722Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2605.21694"},"observation_digest":"sha256:9d45122db7d047fb0338a6a3a8dfce1f0dba2624d21b2c2c20f0de3ec73985b4","observation_id":"99c17ba3-2b2d-4af0-9778-302eedb5591e","resolution":{"observed_at":"2026-05-22T09:21:21.554970Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2605.21773","last_updated":"2026-05-20T22:07:12Z","snapshot_observed_at":"2026-07-06T23:32:10.472558Z","submitted_at":"2026-05-20T22:07:12Z","title":"HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-22T08:52:34.079804Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2605.21773"},"observation_digest":"sha256:0e16d0025a255de25fab515195feab9e4906aaea3557ff0ddca6d8547254a763","observation_id":"6d0ffe7f-5930-431b-987b-a67014490732","resolution":{"observed_at":"2026-05-22T08:54:45.838671Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2605.24949","last_updated":"2026-05-24T08:54:33Z","snapshot_observed_at":"2026-08-02T01:35:39.565582Z","submitted_at":"2026-05-24T08:54:33Z","title":"APT-Agent: Automated Penetration Testing using Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T00:11:02.928108Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2605.24949"},"observation_digest":"sha256:0bd845a825328969de154a8d3802e853c7f233320934902d8e155e8abc9fc39b","observation_id":"649ceabe-fbf8-432c-b56d-8d71e860cdcb","resolution":{"observed_at":"2026-06-30T00:14:03.913371Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2606.03811","last_updated":"2026-06-02T15:54:39Z","snapshot_observed_at":"2026-08-08T01:13:52.829970Z","submitted_at":"2026-06-02T15:54:39Z","title":"AI Agents Enable Adaptive Computer Worms","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-28T09:18:59.008107Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2606.03811"},"observation_digest":"sha256:edc5ef26b5df96f5c9e262d2f39690b5e458dab55acbb09a66b0a13111c47c26","observation_id":"30c5adfa-7b98-483e-927b-f1376003816e","resolution":{"observed_at":"2026-07-02T04:16:35.431767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2606.05567","last_updated":"2026-06-04T01:28:36Z","snapshot_observed_at":"2026-08-08T04:18:17.880029Z","submitted_at":"2026-06-04T01:28:36Z","title":"ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T01:26:22.434043Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2606.05567"},"observation_digest":"sha256:a7ddc0a36cd305b7d05776267d4b1a252564669bd6f254e6646ff109c60f2d10","observation_id":"19c3348d-2e85-43de-a9a6-d7aae3a30573","resolution":{"observed_at":"2026-07-02T13:16:58.772288Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":"2403.01038","doi":"10.48550/arxiv.2403.01038","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AUTOATTACKER: A large language model guided system to implement automatic cyber-attacks","venue":"arXiv (Cornell University)","work_id":"b0ca4ac3-9878-48f2-aafb-5093e10fa068","year":2024},"citing_paper":{"arxiv_id":"2606.25332","last_updated":"2026-06-24T02:51:58Z","snapshot_observed_at":"2026-08-07T07:58:51.676341Z","submitted_at":"2026-06-24T02:51:58Z","title":"Decoupling Reconnaissance and Exploitation: Measuring the Capability Boundaries of LLM-Based Web Penetration Testing","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-25T21:23:32.255067Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2606.25332"},"observation_digest":"sha256:aea401706cf8b718ec45e645072ec9019b9c269f284ddf864bcf49f95f1a94b5","observation_id":"9d5e84c7-0edf-4936-be97-062e5be55c01","resolution":{"observed_at":"2026-07-04T19:20:07.182048Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-07-12T09:10:11.585499Z","title":"Autoattacker: A large language model guided system to implement automatic cyber-attacks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02605","last_updated":"2026-07-01T13:24:25Z","snapshot_observed_at":"2026-07-12T09:10:10.458200Z","submitted_at":"2026-07-01T13:24:25Z","title":"A Survey of LLM-Driven Penetration Testing: Taxonomy, Co-Evolution, and Open Challenges","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-12T09:10:11.585499Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2607.02605"},"observation_digest":"sha256:b9353da953e57cf2dde331ff694e7471f10dbf599f5c0570bf04a4205d3c3d8e","observation_id":"0f64a90a-baee-4c66-b62c-38515c759812","resolution":{"observed_at":"2026-07-12T09:10:11.585499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-07-13T01:26:40.958040Z","title":"Autoattacker: A large language model guided system to implement automatic cyber-attacks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09653","last_updated":"2026-07-10T17:52:29Z","snapshot_observed_at":"2026-08-06T18:30:55.464803Z","submitted_at":"2026-07-10T17:52:29Z","title":"VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-13T01:26:40.958040Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2607.09653"},"observation_digest":"sha256:ae697f2de175e83970ac1e7108cdcd2182e653af62ae5931c56f5ff4ef19d08b","observation_id":"c5949df8-4899-4bd1-8dea-3a2a0fda4024","resolution":{"observed_at":"2026-07-13T01:26:40.958040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01038","snapshot_observed_at":"2026-08-08T04:19:18.900014Z","title":"arXiv preprint arXiv:2403.01038 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03009","last_updated":"2026-08-04T01:42:43Z","snapshot_observed_at":"2026-08-08T04:12:53.504849Z","submitted_at":"2026-08-04T01:42:43Z","title":"Tiny Enough to Break In: Agentic Remote Access Trojans Powered by Small Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T04:19:18.900014Z"},"links":{"cited_paper":"/paper/2403.01038","citing_paper":"/paper/2608.03009"},"observation_digest":"sha256:de6cacba70f6333e6f9d3bff7243486197d380adbada2bbf0e723a555290d73d","observation_id":"34d78972-7dcd-4d41-ac9f-40ce0beeb76a","resolution":{"observed_at":"2026-08-08T04:19:18.900014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.01038/citation-record","integrity":"/paper/2403.01038/integrity","json":"/paper/2403.01038/citation-record.json","paper":"/paper/2403.01038"},"outbound":[],"paper":{"arxiv_id":"2403.01038","last_updated":"2024-03-02T00:10:45Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-06T23:34:33.998103Z","submitted_at":"2024-03-02T00:10:45Z","title":"AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2403.01038."}