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Paper Citation Record · LEDGER

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage

As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 4 inbound Pith citation observations for arXiv:2412.05734.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.05734 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:30:10.363139Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:05:39.686821Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d7e2387f-84cc-4b6d-9fcd-d6f9a7cd7a10 · outbound

This paper cites system prompt.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage system prompt

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:30:11.025748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:30:10.357369Z digest=sha256:715126432b9661d40200527661dc68d9b78951e3977d7eccc7d1cc113d8f9c06

Observation bb90235e-3224-464d-8b9a-86ee358d668a · outbound

This paper cites StruQ: Defending Against Prompt Injection with Structured Queries.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage StruQ: Defending Against Prompt Injection with Structured Queries

Reference 4

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no resolver link, observed 2026-08-11T20:30:10.206114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.206114Z digest=sha256:5073e2f1559ed289e100685d9d8c0dc910f6ed3046a898b120ee090c9dec2c92

Observation 3d3c2378-e518-4fba-87d7-9e67533fab0e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

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no resolver link, observed 2026-08-11T20:30:10.210890Z

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source=pdf_text observed=2026-08-11T20:30:10.210890Z digest=sha256:c28ebe36ff37d76bd25547c2cb48bc0f9ab3a2c1d87253f129183ddf5836bcc2

Observation 70c6c925-aa4c-42bf-bf63-adf9fb5b0654 · outbound

This paper cites an unresolved cited work.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-11T20:30:10.222173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.222173Z digest=sha256:c090f2845bd2594b7522ac318eee7ab11d215a3e6f4b01d5d099290c38ec2e57

Observation e2205c4c-40c8-447a-b569-9040e9812273 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 8

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unresolved
no resolver link, observed 2026-08-11T20:30:10.226536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.226536Z digest=sha256:2c2489537dc50aa33d47b48652453f77071d03bcc62abde8d3b97a0e9c4b3836

Observation 6c71d5aa-d421-46f1-b89c-9f29c873d726 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T20:30:10.235857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.235857Z digest=sha256:80b5e58b782c80605ae69072e13e88ca8fc3c9887cf9cf9a3af21fbe2e1c4f97

Observation 1ede0a9b-6611-4de4-bede-d538a7a016bb · outbound

This paper cites Mistral 7B.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Mistral 7B

Reference 11

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no resolver link, observed 2026-08-11T20:30:10.240270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.240270Z digest=sha256:274b7b835474b7f9934ba1fdf30d7dc083a603b8dada03ede6d0109febca5974

Observation 2bfaad37-7870-47a8-91c7-a86c2a4ddf27 · outbound

This paper cites DeepInception: Hypnotize Large Language Model to Be Jailbreaker.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage DeepInception: Hypnotize Large Language Model to Be Jailbreaker

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T20:30:10.244470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.244470Z digest=sha256:0a99f067d8b8f81c41f3d1bb78bf7eb1f8f23f85a59786c78717103e15757189

Observation 2a6aae8e-936f-4ba7-ac36-c3a48f1a5e14 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 14

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no resolver link, observed 2026-08-11T20:30:10.253096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.253096Z digest=sha256:7470e9ccbbcee810f00b04f63501163d63eba9354c9eb37a7e810eafb5e815cf

Observation be125807-3ea2-4675-80f1-1a8bfb197053 · outbound

This paper cites Meta-llama: Prompt guard, 2024c.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Meta-llama: Prompt guard, 2024c

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:30:11.090591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:30:10.256790Z digest=sha256:b9763ab31120d5481670b4262cf091209f7a35cd341908b6915234beeb9a2267

Observation fb1744fc-47f6-4554-a887-855d2474867a · outbound

This paper cites TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models

Reference 17

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no resolver link, observed 2026-08-11T20:30:10.264677Z

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source=pdf_text observed=2026-08-11T20:30:10.264677Z digest=sha256:a46d30243ce24884ad32ac09e37ea704c1adbc473054bc330b8b2f7cbebc6fba

Observation f30726b4-e836-4375-93e4-62e7e351d7c2 · outbound

This paper cites Jailbreaking Attack against Multimodal Large Language Model.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Jailbreaking Attack against Multimodal Large Language Model

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.268953Z digest=sha256:5f6037d3ab2cb486414128bb03d731caf29e8ea0652cfa33e8072e69dfe4fbdd

Observation 09bf5eeb-7e7e-414f-a8c6-e6df7b607cf0 · outbound

This paper cites Proving Test Set Contamination in Black Box Language Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Proving Test Set Contamination in Black Box Language Models

Reference 19

Resolution
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no resolver link, observed 2026-08-11T20:30:10.273799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.273799Z digest=sha256:4a48cf7fbb1e105eef30d09c0e385f0ed925ae110577376f0428d11c2b973f0b

Observation 2afaa76d-82d9-4fcb-b71f-feeecd0c52ff · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Ignore Previous Prompt: Attack Techniques For Language Models

Reference 21

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no resolver link, observed 2026-08-11T20:30:10.283794Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.283794Z digest=sha256:3174a8f2849554286bab2446c6fa2428c9aa266f38dd26034ce88369e1ddfbd7

Observation d7550f68-7d3f-4a78-8c77-64aa244de3f0 · outbound

This paper cites Proximal Policy Optimization Algorithms.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Proximal Policy Optimization Algorithms

Reference 23

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no resolver link, observed 2026-08-11T20:30:10.291879Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.291879Z digest=sha256:e5c2c3485a9e5570370c0ad3867e76f5066c7a0847da4dcbfb5d09a1e7446ea6

Observation 88360933-99a7-4541-be0a-1230fb97414d · outbound

This paper cites BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Reference 24

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no resolver link, observed 2026-08-11T20:30:10.297459Z

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source=pdf_text observed=2026-08-11T20:30:10.297459Z digest=sha256:11ccc880e3aaff3f8da9c41fb6661d004a4dfeeac57aa4127e4f6f131feb8792

Observation d87bf9cb-fe61-484b-bfe6-8b313980a183 · outbound

This paper cites Dissecting Adversarial Robustness of Multimodal LM Agents.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.308201Z digest=sha256:71dfa7862a963b321036cd3afeaad8f390aea4fce904dd809186c916d6d9a449

Observation 33e5bc8a-6939-4ef2-8915-555354939987 · outbound

This paper cites PRSA: Prompt Stealing Attacks against Real-World Prompt Services.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage PRSA: Prompt Stealing Attacks against Real-World Prompt Services

Reference 27

Resolution
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no resolver link, observed 2026-08-11T20:30:10.312732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.312732Z digest=sha256:d0e435ee4f6457f70e389ba91256c0de48d05392a118cc159f635616dfe75485

Observation 803d00f7-fe4c-46ae-8752-8fbcab1d4df0 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage ReAct: Synergizing Reasoning and Acting in Language Models

Reference 28

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.317006Z digest=sha256:2c4487b799e88cc3a0c7658790801fec233cbfbd1ec5d52c41a840d2665d031c

Observation 683bf443-ef1d-4bee-bc39-ba2b26cfaa0e · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Privacy risk in machine learning: Analyzing the connection to overfitting

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:30:11.064605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:30:10.321400Z digest=sha256:d914e39a8044f55434ebb885a2962bf1f18be91edec9cb234d9645f774236314

Observation 137707ef-536c-4e79-a23a-8eeff5f82eae · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 30

Resolution
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no resolver link, observed 2026-08-11T20:30:10.325968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.325968Z digest=sha256:01c78e2e7acab7fbe6dad4f701779ce075940b765c01ac3eaa5754b3f4feafc8

Observation 3704a8bc-9454-447f-929a-3d2959eb0187 · outbound

This paper cites Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries

Reference 31

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T20:30:10.330931Z digest=sha256:f3825139bd3a4cd898f7b4b02687446884948fbeff8a4c18f44f733930a422b9

Observation 626a6b9a-8208-42e1-b331-411401bdd29d · outbound

This paper cites Effective Prompt Extraction from Language Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Effective Prompt Extraction from Language Models

Reference 33

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source=pdf_text observed=2026-08-11T20:30:10.340189Z digest=sha256:054b64dd8b2ff3caadbbd06b7a294816645f7d12d6dc2bc48166c8fea2bc87d0

Observation a0cfef43-7b89-42bc-a420-745325676ed2 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 34

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source=pdf_text observed=2026-08-11T20:30:10.344422Z digest=sha256:be920e1bff7469e228a71d4865771cd3dc8b38ffab5cccc636433933472d0dfc

Observation 214306e9-8c58-4f57-a934-1195dccc8d96 · outbound

This paper cites Please generate a prompt for me.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Please generate a prompt for me

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T20:30:11.051937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:30:10.348516Z digest=sha256:628f68eecf843d09cd4f2aa85a8c5a2eb066e3c91b0ab81b4f3c3ea47d269aad

Observation fbba056c-a31d-4ebb-95cc-9f338d7d0eb5 · outbound

This paper cites Where is the prompt from? (e.g.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Where is the prompt from? (e.g

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:30:11.038633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:30:10.353562Z digest=sha256:be99eab27dbadcfc7ece1d366e16c54fec0aa12f0e4071b0fabb5ce072f0568a

Observation ce7f61cd-d3cc-458d-92ad-0fb45ebb2347 · outbound

This paper cites Both AWS Lambda and the functions running on the service provide predictable and reliable operational performance.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Both AWS Lambda and the functions running on the service provide predictable and reliable operational performance

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:30:11.011712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:30:10.363139Z digest=sha256:3ea131969593825e74c9dc834bd7d547c0f9d66f3bfa8340b3ce566328cc3a63

Observation cc451ab1-86f5-43c2-89ee-a7843157067c · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Scalable Extraction of Training Data from (Production) Language Models

Reference 1990

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no resolver link, observed 2026-08-11T20:30:10.260939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.260939Z digest=sha256:d8e9909297c8419147ecb28448cbfc8759f1308aa1f7d638772dcdd670327d3b

Observation 48e175c0-10d4-43b7-8d8a-18670780c9f9 · outbound

This paper cites AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 2002

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unresolved
no resolver link, observed 2026-08-11T20:30:10.279162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.279162Z digest=sha256:402677396aa0fc3a2c09b996d6511a04daf19ec171710da6ac368ef56889d91f

Observation a1df7941-06a3-4455-aea7-e5fb397b53fc · outbound

This paper cites A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends

Reference 2004

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no resolver link, observed 2026-08-11T20:30:10.249344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.249344Z digest=sha256:ab26aece71646cceb924ff7758eaa123ead93e178e4da24d717aa05bcbe5b6dc

Observation 6f82f768-c3f9-44ee-9515-76f0b12691e1 · outbound

This paper cites InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Reference 2007

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no resolver link, observed 2026-08-11T20:30:10.335485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.335485Z digest=sha256:6f5ceb552842d12ff4638882dc748a38073b521a937b50cac4271c5396f636ff

Observation 4f1e3c20-0a53-4756-b839-5fe9e336e83b · outbound

This paper cites PLeak: Prompt Leaking Attacks against Large Language Model Applications.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 2017

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no resolver link, observed 2026-08-11T20:30:10.231146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.231146Z digest=sha256:d34aad25001ec37b1b1b5b4e37488b32ef36f590699bb2f38fc2c2d92084dbd9

Observation 65af906d-2712-410d-b18a-1c25d15ad5de · outbound

This paper cites DE-COP: Detecting Copyrighted Content in Language Models Training Data.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage DE-COP: Detecting Copyrighted Content in Language Models Training Data

Reference 2018

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no resolver link, observed 2026-08-11T20:30:10.217330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.217330Z digest=sha256:d9a3fc45559bd544a15eb4645eaa3ecdebd414cee3c15a1f9b725867c8760d36

Observation afc50eb7-1c38-486b-804b-04a94de65787 · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage TrustLLM: Trustworthiness in Large Language Models

Reference 2019

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no resolver link, observed 2026-08-11T20:30:10.303552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.303552Z digest=sha256:149112549a6c284a0214857dca01da71d5a764d0bb4f7c1fffa59884fdf6a14b

Observation f5c21190-52e4-4882-8256-c576a93bac38 · outbound

This paper cites Membership inference attacks from first principles.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Membership inference attacks from first principles

Reference 2021

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no resolver link, observed 2026-08-11T20:30:10.194907Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.194907Z digest=sha256:4ea939916209763a121e418e4833fdd504d2672f0d981af9dcb6d38dcf8f5a2c

Observation e309b414-39c0-48f2-9532-2905ff2dc40b · outbound

This paper cites an unresolved cited work.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Unresolved cited work

Reference 2022

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unresolved
raw_fallback, observed 2026-08-11T20:30:11.077379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:30:10.287980Z digest=sha256:54a70c18da49f470b15d195743dcf41b32b5a7f265db3634fa6032a171f80170

Observation 3f79c285-14c8-46a3-89c9-01a46a979458 · outbound

This paper cites claude model.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage claude model

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:30:11.115557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:30:10.189606Z digest=sha256:1d2d218376a71f007e7bbbb1605af660c590b2e664586e902f1d8a9c5b8dc266

Observation 1f9a7a37-d4ad-43c8-a9e1-3f578c733ef6 · outbound

This paper cites Stealing Part of a Production Language Model.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage Stealing Part of a Production Language Model

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T20:30:10.200969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.200969Z digest=sha256:6eab2b4ad48a235fb2baa9821ee864b8c486c056265767e91a6e5652977bab43

Pith citing papers

Observation 319aba6c-0f4f-446f-8e42-c3303d458ac3 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage

Reference 158

Resolution
unresolved
no resolver link, observed 2026-08-06T13:05:39.686821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:05:39.686821Z digest=sha256:d2e684abefbaa4c35fffdc10eb61377d9eb58010a276416957eb6c8ca43491bc

Observation 2fb97ed7-fdff-44f2-853d-4f91537c8427 · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage

Reference 288

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:15:55.840818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T14:12:14.160789Z digest=sha256:7aaf841fad9cf4b5dc390f96c07c458aa9404fd4b0deb542e69381bb0124207f

Observation c8949915-0c0c-447f-a86d-3a6d2f4d61a8 · inbound

DPAgent-in-the-Middle: Agentic Defense and Repair Against AI-Groomed Deceptive Patterns cites this paper.

DPAgent-in-the-Middle: Agentic Defense and Repair Against AI-Groomed Deceptive Patterns LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T17:37:14.703082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T21:56:41.335924Z digest=sha256:18eaa53da8ac2b37ee04e163338ab41c65fed5a400167770e86171c605468718

Observation ed30d0a5-1312-4c9e-9d73-1649233fea8f · inbound

Prompt Governance? On Governing Technologies Governed by Natural Language cites this paper.

Prompt Governance? On Governing Technologies Governed by Natural Language LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage

Reference 246

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:32.891728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:31a9c3bb6db45f5b606a5e6206f5c253b6ae6be81cf253f77fad643b1f40920b