Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T05:44:24.854509Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.02518.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T05:44:24.854509Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c6f47370-662a-4d34-81a1-5149bd762a99 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Evaluating prompt injection safety in large language models using the promptbench dataset
Reference 1
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Observation fb46f4d2-7cbb-4a41-ab8f-5d17ec9f892c · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
Reference 2
Source-reported events for the cited work
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Observation 96b3ca58-3642-4c51-a3ba-a1816cf1c744 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Multibreak: A scalable and diverse multi-turn jailbreak benchmark for stress-testing LLM safety
Reference 3
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Observation f285f93e-d0ca-4895-8c72-08ec0bc3b683 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Safe in isolation, dangerous together: Agent-driven multi-turn decomposition jailbreaks on llms
Reference 4
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Unavailable: canonical work link unavailable.
Observation d5549ca9-54e3-4376-af67-28df942e37cd · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents
Reference 5
Source-reported events for the cited work
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Observation 37bc05b3-6e15-4b9c-86f2-f5450bd67a2e · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Deepcontext: Stateful real-time detection of multi-turn adversarial intent drift in llms
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd69103a-2ece-46e5-b66c-55b505d2b78e · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54aa412e-4531-4c09-ba9e-81d97188a16d · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Automating Deception: Scalable Multi-Turn LLM Jail- breaks
Reference 8
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Observation 3ed7e0a5-b13c-4751-bc68-5f53ba788791 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Cross-Session Threats in AI Agents: Benchmark, Evaluation, and Algorithms
Reference 9
Source-reported events for the cited work
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Observation d38f8fd3-a982-4b07-85fd-76e8fcb6e84c · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46371704-e4e9-4200-810f-418e988a8f1e · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Kairos: Practical intrusion detection and investigation using whole-system prove- nance
Reference 11
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Observation ad0972d8-6086-410f-b9eb-ac54880b8290 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Detection and mitigation of slow DoS attacks using machine learning
Reference 12
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Observation 658a82a4-c714-4e94-92ce-845d2b2532d2 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 13
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Unavailable: canonical work link unavailable.
Observation 68e49eda-0cbc-4d03-9204-77c61dc16605 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?
Reference 16
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Unavailable: canonical work link unavailable.
Observation 7d14b3be-1e2a-4c68-b384-a10a855a536d · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Breach By A Thousand Leaks: Unsafe Information Leakage in’Safe’AI Re- sponses
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a876a816-6eb7-42ea-b214-d648e056211a · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Wildchat: 1m chatgpt interaction logs in the wild
Reference 18
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Unavailable: canonical work link unavailable.
Observation 46ab60fe-d77c-40f1-a904-f984e1752353 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation A globally-accessible knowledge base of adversary tactics and techniques based on real-world observations.url:https : / / attack
Reference 19
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Observation b1fbb827-0c10-4aa9-b3b2-efe0062c5b8b · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Dual-usecapabilitiesofconcernofbiologicalAImodels
Reference 20
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Observation ca514473-6e89-4592-8d77-6301139aae37 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety
Reference 21
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Unavailable: canonical work link unavailable.
Observation 6937a851-8de5-4d43-9a58-145197d2092f · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation The agent searches for a target individual and infers their email address based on their organizational affiliation
Reference 22
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Unavailable: canonical work link unavailable.
Observation 300d2bbf-7d16-4253-9ee1-f70806466500 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation background-color: yellow; color: black; text-align: center; padding: 10px; font-weight: bold
Reference 23
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Unavailable: canonical work link unavailable.
Observation 6d3dd604-f864-45c2-bf1b-5345bdaa47be · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation The agent drafts a password-reset email addressed to the target email discovered in step 1
Reference 24
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Unavailable: canonical work link unavailable.
Observation 35e946f4-49b9-4bbb-bfe6-fb56e8e31fd4 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation The agent is tasked with reviewing the landing page and removing any demo or placeholder content (specifically, the banner injected in step 2)
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc8b69d1-fc42-4420-b708-9dea735eac7f · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation The agent inserts a hyperlink to the phishing page from step 4 into the email drafted in step 3
Reference 26
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Observation c7798f0a-58dd-4d3a-9ac0-ec6f65e2f3f6 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 27
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Observation 4a5c4dbe-3275-4de6-9585-3761c32d68c8 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 28
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Observation 9acd0158-84ec-483f-ae95-a912638f6f05 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 29
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Unavailable: canonical work link unavailable.
Observation 5ae6ad9a-ed95-4164-b651-2b8a3224f64e · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 30
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Observation 5ccdd42c-216c-43ce-bb95-550f0b03beb2 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation demo" or
Reference 31
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Observation 62e660bb-2765-474d-b442-a165d01747a6 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 32
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Observation 1574a785-7093-4c13-aaba-6066728bc985 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 33
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Observation cf0fe7c4-55e9-4681-a455-e87def5792f1 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation demo" or
Reference 34
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Observation e9f76326-d7c8-4c7c-8d01-a909e5909565 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation common, widely available fuel
Reference 35
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Observation 4d3d3af6-7172-4d77-ae69-76c62a4fa35b · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation breakaway prop for a film
Reference 36
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Observation 5a085344-1fdd-4e75-9263-fa3f197516e5 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation oil lamp restoration project
Reference 37
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Observation 5a9c64cd-86b0-444a-898d-2ac27c7e337c · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 38
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Observation 77060cd5-dfaf-4a2c-b3e9-3ca961d5bd3b · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation For gas, the ratio is approximately 14:1, for ethanol it is approximately 9:1, for propane it is approximately 16:1
Reference 39
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Observation 119ed9c1-a03e-4d07-a836-a9de037589e6 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 40
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Observation 59e228ee-a629-482e-954a-d5ad319535f2 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 41
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Observation da663dc4-3c40-4aca-b9c0-ca87f20c3256 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 42
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Observation 528c3b4f-1e28-42d3-9e19-34398cf3bae0 · outbound
Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work
Reference 43
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No inbound Pith citation observations are available.