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Paper Citation Record · LEDGER

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation

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.

pith.paper-citation-record.v1
2608.02518 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:44:24.854509Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation c6f47370-662a-4d34-81a1-5149bd762a99 · outbound

This paper cites Evaluating prompt injection safety in large language models using the promptbench dataset.

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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source=pdf_text observed=2026-08-04T05:44:22.170465Z digest=sha256:dda537eca6fa052a2a1aac7a177e7394cb2fc257d4ecb7cc642b05b051a8ea06

Observation fb46f4d2-7cbb-4a41-ab8f-5d17ec9f892c · outbound

This paper cites LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Reference 2

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source=pdf_text observed=2026-08-04T05:44:22.263222Z digest=sha256:65820630765a962f62f40ff6df5c159196b0d0641450855d28338841f3acf2d6

Observation 96b3ca58-3642-4c51-a3ba-a1816cf1c744 · outbound

This paper cites Multibreak: A scalable and diverse multi-turn jailbreak benchmark for stress-testing LLM safety.

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

This paper cites Safe in isolation, dangerous together: Agent-driven multi-turn decomposition jailbreaks on llms.

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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source=pdf_text observed=2026-08-04T05:44:22.336876Z digest=sha256:3e1402a70c390b3118d36dcd213e3ef9ef48db4955b7868f17a0dab5000219d1

Observation d5549ca9-54e3-4376-af67-28df942e37cd · outbound

This paper cites Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents.

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

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Observation 37bc05b3-6e15-4b9c-86f2-f5450bd67a2e · outbound

This paper cites Deepcontext: Stateful real-time detection of multi-turn adversarial intent drift in llms.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Deepcontext: Stateful real-time detection of multi-turn adversarial intent drift in llms

Reference 6

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source=pdf_text observed=2026-08-04T05:44:22.439364Z digest=sha256:1bbb03ebf47499b2f7c6e100d1b00edfea522d31f8c64895d07a998215cf5954

Observation bd69103a-2ece-46e5-b66c-55b505d2b78e · outbound

This paper cites Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks

Reference 7

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source=pdf_text observed=2026-08-04T05:44:22.473357Z digest=sha256:93167817b27ef571f40ac9b0b2743511648a513f9186ef37a07a9485cbb58db2

Observation 54aa412e-4531-4c09-ba9e-81d97188a16d · outbound

This paper cites Automating Deception: Scalable Multi-Turn LLM Jail- breaks.

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

This paper cites Cross-Session Threats in AI Agents: Benchmark, Evaluation, and Algorithms.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Cross-Session Threats in AI Agents: Benchmark, Evaluation, and Algorithms

Reference 9

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source=pdf_text observed=2026-08-04T05:44:22.537750Z digest=sha256:7ba6546007f649b3c58620c5d2e0a21089db48454f09429865bd04260924e94d

Observation d38f8fd3-a982-4b07-85fd-76e8fcb6e84c · outbound

This paper cites MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents

Reference 10

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source=pdf_text observed=2026-08-04T05:44:22.582902Z digest=sha256:d94575b0f6dee23e923dd9fabb37255105174f633bff4d9bc23facf0b8133d7e

Observation 46371704-e4e9-4200-810f-418e988a8f1e · outbound

This paper cites Kairos: Practical intrusion detection and investigation using whole-system prove- nance.

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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source=pdf_text observed=2026-08-04T05:44:22.629437Z digest=sha256:6f704473252c5f2c505491d1b21b762ed6f36644330fbc389fd85f3fe924b39e

Observation ad0972d8-6086-410f-b9eb-ac54880b8290 · outbound

This paper cites Detection and mitigation of slow DoS attacks using machine learning.

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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source=pdf_text observed=2026-08-04T05:44:22.713260Z digest=sha256:8694314d9ff5148c2b94670ac3d07a52c6098961b90b94ffc0f38cd0ec1fa082

Observation 658a82a4-c714-4e94-92ce-845d2b2532d2 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-04T05:44:22.750171Z digest=sha256:b39e36c6540bac4648297cfef8104312a3fb4c31e280e35632fd0e63d936cf58

Observation 68e49eda-0cbc-4d03-9204-77c61dc16605 · outbound

This paper cites LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?.

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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Observation 7d14b3be-1e2a-4c68-b384-a10a855a536d · outbound

This paper cites Breach By A Thousand Leaks: Unsafe Information Leakage in’Safe’AI Re- sponses.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Breach By A Thousand Leaks: Unsafe Information Leakage in’Safe’AI Re- sponses

Reference 17

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source=pdf_text observed=2026-08-04T05:44:22.927979Z digest=sha256:eb5c173836ff9df5c8724a51c696a372bada868cd143cc19a1f7331db9ab9ea0

Observation a876a816-6eb7-42ea-b214-d648e056211a · outbound

This paper cites Wildchat: 1m chatgpt interaction logs in the wild.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Wildchat: 1m chatgpt interaction logs in the wild

Reference 18

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source=pdf_text observed=2026-08-04T05:44:23.023247Z digest=sha256:9fbb8e5278ca009aa5d1f1b19aa637f689f805cb74101b21f68cbd423e1ceea7

Observation 46ab60fe-d77c-40f1-a904-f984e1752353 · outbound

This paper cites A globally-accessible knowledge base of adversary tactics and techniques based on real-world observations.url:https : / / attack.

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

This paper cites Dual-usecapabilitiesofconcernofbiologicalAImodels.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Dual-usecapabilitiesofconcernofbiologicalAImodels

Reference 20

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Observation ca514473-6e89-4592-8d77-6301139aae37 · outbound

This paper cites It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety.

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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Observation 6937a851-8de5-4d43-9a58-145197d2092f · outbound

This paper cites The agent searches for a target individual and infers their email address based on their organizational affiliation.

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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Observation 300d2bbf-7d16-4253-9ee1-f70806466500 · outbound

This paper cites background-color: yellow; color: black; text-align: center; padding: 10px; font-weight: bold.

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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Observation 6d3dd604-f864-45c2-bf1b-5345bdaa47be · outbound

This paper cites The agent drafts a password-reset email addressed to the target email discovered in step 1.

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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Observation 35e946f4-49b9-4bbb-bfe6-fb56e8e31fd4 · outbound

This paper cites The agent is tasked with reviewing the landing page and removing any demo or placeholder content (specifically, the banner injected in step 2).

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

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Observation cc8b69d1-fc42-4420-b708-9dea735eac7f · outbound

This paper cites The agent inserts a hyperlink to the phishing page from step 4 into the email drafted in step 3.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

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Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 29

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Observation 5ae6ad9a-ed95-4164-b651-2b8a3224f64e · outbound

This paper cites an unresolved cited work.

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

This paper cites demo" or.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation demo" or

Reference 31

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Observation 62e660bb-2765-474d-b442-a165d01747a6 · outbound

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

This paper cites demo" or.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation demo" or

Reference 34

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Observation e9f76326-d7c8-4c7c-8d01-a909e5909565 · outbound

This paper cites common, widely available fuel.

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

This paper cites breakaway prop for a film.

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

This paper cites oil lamp restoration project.

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

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-04T05:44:24.505159Z digest=sha256:453348251861e43aad28f7cf0b74fddc1d9c9b8b1054e92a250d0943b92efda2

Observation 77060cd5-dfaf-4a2c-b3e9-3ca961d5bd3b · outbound

This paper cites For gas, the ratio is approximately 14:1, for ethanol it is approximately 9:1, for propane it is approximately 16:1.

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.576986Z digest=sha256:23c27df1747d0ebe0ace8ff5cffa93bf9da39dd732da5c36668c6e65d387515f

Observation 119ed9c1-a03e-4d07-a836-a9de037589e6 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T05:44:24.644460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.644460Z digest=sha256:440c12f4dc96b75b3f0a11d69192aebebc4425e3f683898ebf65d65d6928d9a1

Observation 59e228ee-a629-482e-954a-d5ad319535f2 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T05:44:24.707786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.707786Z digest=sha256:5b47d6c0ad9c103c14568d2dd1d4e6eb20ebccb0a86e38c21f03571baecdb1f9

Observation da663dc4-3c40-4aca-b9c0-ca87f20c3256 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T05:44:24.765803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.765803Z digest=sha256:045a103eafc63e7607b4441184aea220afc9fd714558094101a7fcf8992fc8c4

Observation 528c3b4f-1e28-42d3-9e19-34398cf3bae0 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 43

Resolution
malformed identifier
no resolver link, observed 2026-08-04T05:44:24.854509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.854509Z digest=sha256:eb0666efc80683f26f658534e5d0d8fdd8a28cd265c1667e53a89bc47190ead6

Pith citing papers

No inbound Pith citation observations are available.