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Paper Citation Record · LEDGER

The Automation Advantage in AI Red Teaming

As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2504.19855.

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

pith.paper-citation-record.v1
2504.19855 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:46:02.228868Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:53:33.168800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:51:45.271344Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved12
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bad3bee8-53c3-45cf-9dde-d5cc482183fb · outbound

This paper cites Extract- ing training data from large language models.

The Automation Advantage in AI Red Teaming Extract- ing training data from large language models

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:02.465901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.144273Z digest=sha256:eaef32ea4fa298ca802a926b99c8ba038517c2b24b4a8bbd1dbc4881387027ef

Observation 44b3e4b1-5afd-4277-95ef-de217d6cc741 · outbound

This paper cites Jailbroken: How does llm safety training fail?,.

The Automation Advantage in AI Red Teaming Jailbroken: How does llm safety training fail?,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T05:46:02.456150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.148375Z digest=sha256:480984be7ee85e666a64fc197c782046c093ea2d984cb36affaa50c674bb521b

Observation 211c1ef2-bfa5-43d3-8918-1ad4431cd569 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

The Automation Advantage in AI Red Teaming Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 3

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unresolved
no resolver link, observed 2026-08-16T05:46:02.156968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.156968Z digest=sha256:761294ccf8bf77f9045debc8c3fcd27ad36433504dd3090782cb5a45bb80f4fc

Observation a8455cac-3036-43b7-9c90-c2ecc08fd1bf · outbound

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

The Automation Advantage in AI Red Teaming Scalable Extraction of Training Data from (Production) Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-16T05:46:02.161254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.161254Z digest=sha256:80328101890496141a222bc880d983b0d95f4b5721b454beb2c7edb729e74956

Observation 79275b3b-6ba2-441e-b010-e343497b6a48 · outbound

This paper cites SoK: A Systems Perspective on Compound AI Threats and Countermeasures.

The Automation Advantage in AI Red Teaming SoK: A Systems Perspective on Compound AI Threats and Countermeasures

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T05:46:02.343105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.165244Z digest=sha256:7487b4586f3db0944fee30bc3584488d26e637ecde15d1330c80e11e4444c0db

Observation f7068855-e2e8-4878-878c-5db6b3f5c304 · outbound

This paper cites LLM Agents can Autonomously Hack Websites.

The Automation Advantage in AI Red Teaming LLM Agents can Autonomously Hack Websites

Reference 6

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unresolved
no resolver link, observed 2026-08-16T05:46:02.168985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.168985Z digest=sha256:acf1422700f291e63c58b2e3ab46cb644490f6d752cf4149556d0de33f1d0cce

Observation 04498322-e81b-4d70-a8f5-470cfcdbc465 · outbound

This paper cites Jailbreak and guard aligned language models with only few in-context demonstrations,.

The Automation Advantage in AI Red Teaming Jailbreak and guard aligned language models with only few in-context demonstrations,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:02.446497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.172563Z digest=sha256:60480767c123f01d2f27b5fd5ac9840a1352b2452f22e6a004e7a4ef0379692d

Observation a4827f43-8ca2-4720-9e4a-9a2761c8f28d · outbound

This paper cites SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.

The Automation Advantage in AI Red Teaming SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

Reference 8

Resolution
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no resolver link, observed 2026-08-16T05:46:02.179668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.179668Z digest=sha256:d745229122cda26f8203ddfc799478a0eca03c192fc0575d458b553b81583986

Observation baa31ac8-0c34-417b-9487-aa8a50d21a74 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

The Automation Advantage in AI Red Teaming AgentBench: Evaluating LLMs as Agents

Reference 9

Resolution
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no resolver link, observed 2026-08-16T05:46:02.183580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.183580Z digest=sha256:fd14e1a0949edd866c8d43ca8d271ec9fe82357005fc8059c150a39f4dfaeb1a

Observation 2992bca7-d222-4aa9-b012-4a604f30d9dc · outbound

This paper cites OWASP Top 10 for LLM Ap- plications.

The Automation Advantage in AI Red Teaming OWASP Top 10 for LLM Ap- plications

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:02.436462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.187202Z digest=sha256:b5f515e6ff704d47b51286928f632ce86cdeed483ed61ce07f64e4191c6db4d3

Observation 0558aca7-ae84-4b3f-9cbf-583753902710 · outbound

This paper cites Discovering Language Model Behaviors with Model-Written Evaluations.

The Automation Advantage in AI Red Teaming Discovering Language Model Behaviors with Model-Written Evaluations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:02.198334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.198334Z digest=sha256:82483bdb1e94a974bfb474e970c1c2358a5cf6dfbd6e0974c7bf013819536b6e

Observation f7df0790-a791-404d-8c2e-dbedc8ca73ba · outbound

This paper cites PyRIT: The python risk identification tool for llm red teaming.

The Automation Advantage in AI Red Teaming PyRIT: The python risk identification tool for llm red teaming

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:02.415022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.204452Z digest=sha256:6e2fc4decb7af7acfe071eab7daa67a1a00c569d55a510c3e620ac86ab1a64be

Observation 7476fbe3-7244-4dde-a22c-5ae63840c789 · outbound

This paper cites an unresolved cited work.

The Automation Advantage in AI Red Teaming Unresolved cited work

Reference 13

Resolution
parse uncertain
raw_fallback, observed 2026-08-16T05:46:02.426848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.190740Z digest=sha256:44e232cd2c6e2c5e59079e05023d084c77f3475eaef957777c3cf39c5f6411ac

Observation d82c5322-fefe-4f29-a908-901cd20b1228 · outbound

This paper cites Against The Achilles' Heel: A Survey on Red Teaming for Generative Models.

The Automation Advantage in AI Red Teaming Against The Achilles' Heel: A Survey on Red Teaming for Generative Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:02.210897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.210897Z digest=sha256:f17c57ea263a3e1ac9a93e47d3f2308d79f2eb1ce38533be6569576c83addf3f

Observation 109d5a6d-d577-4078-bc9f-734f51a2287d · outbound

This paper cites "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.

The Automation Advantage in AI Red Teaming "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:02.214499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.214499Z digest=sha256:838933349f40fb6c1b461a46c28c8d9bb26f0ef40faa2aaf44a8432f1c5a4aff

Observation e101e8e3-51a8-4506-9e3c-0c910725316d · outbound

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

The Automation Advantage in AI Red Teaming AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:02.207407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.207407Z digest=sha256:8deae9ee4b2bec96bf05d6a77a77e880649167deea948a2c931587d3b81a79da

Observation 9a8035b8-6471-493a-ad60-6981aad927c9 · outbound

This paper cites Ignore this title and hackaprompt: Exposing systemic vul- nerabilities of llms through a global scale prompt hacking competition.

The Automation Advantage in AI Red Teaming Ignore this title and hackaprompt: Exposing systemic vul- nerabilities of llms through a global scale prompt hacking competition

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:02.400126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.221688Z digest=sha256:71a1c4b3a9754a2ef82557d5b3666af471ca5584131ac72af9883ca33a6bdf66

Observation 4ec09e7a-4c85-4289-82cc-40afb756381d · outbound

This paper cites Context switching attack.

The Automation Advantage in AI Red Teaming Context switching attack

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:02.390222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.225152Z digest=sha256:fccaaa16ced1cd8832b67363b0dba6e7fd02cb8cbb4dbe7c90f49b5bea0ad514

Observation d47bed96-f7d6-47ae-afd2-0e08cbfce07f · outbound

This paper cites Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming.

The Automation Advantage in AI Red Teaming Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:02.218089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.218089Z digest=sha256:eee4313feebb7e1fff35065dd9b598ac15ec079a10b8888380b45c2dc013f867

Observation 2dbe88ec-1b84-49c7-99db-cb5fc8b33ca4 · outbound

This paper cites Jailbroken: How Does LLM Safety Training Fail?.

The Automation Advantage in AI Red Teaming Jailbroken: How Does LLM Safety Training Fail?

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:02.151853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.151853Z digest=sha256:ebbec7f8e1cb40b71892c5cf16f950fd30ce97a4f983494ee754292fe372bc0e

Observation 1a0912ed-9faf-4177-80bf-8c2623f7a839 · outbound

This paper cites Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations.

The Automation Advantage in AI Red Teaming Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:02.176124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:46:02.176124Z digest=sha256:e7a69b89ba9a54b09ca65631657e18c4bb7a10bd40a22f89ec6a36ed1bac9540

Observation c2b3bfa1-fecf-4f2c-89dd-b8e0cc83ff0f · outbound

This paper cites 12 Appendices Appendix A Challenge Descriptions This appendix provides detailed descriptions of the key challenge types analyzed in our study.

The Automation Advantage in AI Red Teaming 12 Appendices Appendix A Challenge Descriptions This appendix provides detailed descriptions of the key challenge types analyzed in our study

Reference 2025

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verified fuzzy
raw_fallback, observed 2026-08-16T05:46:02.380001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:46:02.228868Z digest=sha256:bdcda2da9e81e5bbb9906fe0b4ca0daa3107435b11565e55f1429fb3e1bf1918

Pith citing papers

Observation dbdd6fc6-cfb3-4bf4-9e40-81635bd17218 · inbound

AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models cites this paper.

AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models The Automation Advantage in AI Red Teaming

Reference 31

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no resolver link, observed 2026-08-15T19:53:33.168800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:53:33.168800Z digest=sha256:b36b65bfca81673a3b842fc707a10d5272fa043ecd8099681199d19dc962e717

Observation d1565601-2961-4e13-bc78-d1866275b8d9 · inbound

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours cites this paper.

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours The Automation Advantage in AI Red Teaming

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:51:45.329522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T16:06:18.057868Z digest=sha256:0347fc82b7bd2bc9f88408160eb1f8845867f69ed1c216eac62844d84029587b