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Paper Citation Record · LEDGER

LLMs unlock new paths to monetizing exploits

As of 19 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 4 inbound Pith citation observations for arXiv:2505.11449.

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

pith.paper-citation-record.v1
2505.11449 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:58:10.563503Z

measured 86 of 86 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:55:42.756698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:40:07.477173Z

Reference resolution

82 of 82 outbound references displayed

  • verified exact0
  • verified fuzzy53
  • unresolved28
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 524ea9e3-f220-4a8b-abab-04560eafc4f1 · outbound

This paper cites https://archive.org/details/ enron-archived-materials-enron-audio-recording-tapes, 2006.

LLMs unlock new paths to monetizing exploits https://archive.org/details/ enron-archived-materials-enron-audio-recording-tapes, 2006

Reference 1

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no resolver link, observed 2026-08-15T20:58:10.217332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.217332Z digest=sha256:d49f171b382aebbc14a2cc7eb87dc029e2af10e69cc4d32db2b2094cc9857b89

Observation 20c997fe-5ca7-40df-a746-0c67a864a896 · outbound

This paper cites Welcome to LLMflation – LLM inference cost is going down fast.

LLMs unlock new paths to monetizing exploits Welcome to LLMflation – LLM inference cost is going down fast

Reference 2

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no resolver link, observed 2026-08-15T20:58:10.222450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.222450Z digest=sha256:9438b4901cb0c97f85e2e15a23caa6efd27766882154111eb4490c7ac0a8f4ab

Observation f4e55221-409a-4b57-918b-38981bdf9e0b · outbound

This paper cites Apple security bounty categories.

LLMs unlock new paths to monetizing exploits Apple security bounty categories

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.685173Z

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=2026-08-15T20:58:10.226733Z digest=sha256:572639ec2b49728d1a8b4c777ac05d36b770051fa8a7cc679071b9eb3b2b2bdd

Observation 95bbfdc9-7cd0-4502-bd66-d2e792482ccc · outbound

This paper cites Bug bounty hunters earned over $4m for xss flaws reported via hackerone in 2020.

LLMs unlock new paths to monetizing exploits Bug bounty hunters earned over $4m for xss flaws reported via hackerone in 2020

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.671488Z

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=2026-08-15T20:58:10.231355Z digest=sha256:8c4277ca0bd5a7124abf2f4f9cedc3bdd654efb7b25d13b9768597e7751c0158

Observation b404a772-4d1c-41bb-865e-526ed5ba2f2a · outbound

This paper cites Ransomware as a service (RaaS) explained: How it works & examples.

LLMs unlock new paths to monetizing exploits Ransomware as a service (RaaS) explained: How it works & examples

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.656393Z

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=2026-08-15T20:58:10.235681Z digest=sha256:6f1ce6bf7bf5bc3bca060a156dd233fe0da7c2a02be0b54166e5083c5d31f979

Observation aea3f932-418e-4ffa-bd3b-5bf28764ee17 · outbound

This paper cites From Naptime to Big Sleep: Using large language models to catch vulnerabilities in real-world code.

LLMs unlock new paths to monetizing exploits From Naptime to Big Sleep: Using large language models to catch vulnerabilities in real-world code

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.641589Z

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=2026-08-15T20:58:10.239911Z digest=sha256:a59835947fc59965a2c922c8b3184f66d70db06aa9127dbdbe5d65845128e60f

Observation 66d485ba-4712-4af3-ae4c-e113d0e30023 · outbound

This paper cites Evasion attacks against machine learning at test time.

LLMs unlock new paths to monetizing exploits Evasion attacks against machine learning at test time

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.626298Z

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=2026-08-15T20:58:10.244790Z digest=sha256:b1dec62183992b49e1f6e3ed4141cbbe84445242865a9da428c142dcdc858942

Observation a0db3ed6-675d-47d5-8e17-a3f763124faa · outbound

This paper cites Cook- iExt: Patching the browser against session hijacking attacks.Journal of Computer Security, 23(4):509–537, 2015.

LLMs unlock new paths to monetizing exploits Cook- iExt: Patching the browser against session hijacking attacks.Journal of Computer Security, 23(4):509–537, 2015

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.611357Z

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=2026-08-15T20:58:10.249088Z digest=sha256:73e597d927d54bb3b61fcbfca99f6d5a695a4df9af4e0d5a4f441772fc02e799

Observation f1979be6-71b0-453c-8369-32f3e718c9a0 · outbound

This paper cites Spear phishing in organisations explained.

LLMs unlock new paths to monetizing exploits Spear phishing in organisations explained

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.595885Z

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=2026-08-15T20:58:10.253109Z digest=sha256:010bf5e6a2bb0bdd5877b1e23daeed7ed4e4b2e5c60dcaeb45aadbf196a9d80d

Observation 2d502e9c-7b94-4a4a-bdd1-2c4e39700901 · outbound

This paper cites The Emerging Threats of Deepfake Attacks and Countermeasures.

LLMs unlock new paths to monetizing exploits The Emerging Threats of Deepfake Attacks and Countermeasures

Reference 10

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no resolver link, observed 2026-08-15T20:58:10.257335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.257335Z digest=sha256:e63860afe697c5fbf7195eb61c060026bc9bed08d36aa57af4f2b2509cbe4a20

Observation ad565add-1784-4476-8a40-5ce0b83c85fc · outbound

This paper cites Handcrafted fraud and extortion: Manual account hijacking in the wild.

LLMs unlock new paths to monetizing exploits Handcrafted fraud and extortion: Manual account hijacking in the wild

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.579634Z

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=2026-08-15T20:58:10.261892Z digest=sha256:d4da685802616b453ca442b0b4fa4d6e9df5d7d252a18bdf5c1c00ed3041e970

Observation 70d21de1-fd68-4fa5-8e07-287548435e96 · outbound

This paper cites AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses.

LLMs unlock new paths to monetizing exploits AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.266241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.266241Z digest=sha256:a4e6c93745afc924996d902dd28b421d2e0402e260c4b7eaa2d3051cd1a8a0fd

Observation fc632c5d-d4db-4a7c-abdd-640ad09d0718 · outbound

This paper cites Ransomware evolved: Double extortion.

LLMs unlock new paths to monetizing exploits Ransomware evolved: Double extortion

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.564851Z

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=2026-08-15T20:58:10.270946Z digest=sha256:b747d2997a84106dd02456deefebd13cb97c81990063fe10482c8c8f9d859938

Observation 0c09f711-d6df-41fb-8aa6-c91dcc12120b · outbound

This paper cites Finance worker pays out $25 million after video call with deepfake ‘chief fi- nancial officer’.

LLMs unlock new paths to monetizing exploits Finance worker pays out $25 million after video call with deepfake ‘chief fi- nancial officer’

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.548699Z

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=2026-08-15T20:58:10.274960Z digest=sha256:9f4c4a99e5735e5452351ae010b25946dcc09ee3b00c9644da2c01b533e00285

Observation 6116f252-bd87-4583-a07d-c1292edf191c · outbound

This paper cites LLM inference prices have fallen rapidly but unequally across tasks.

LLMs unlock new paths to monetizing exploits LLM inference prices have fallen rapidly but unequally across tasks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.532900Z

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=2026-08-15T20:58:10.278942Z digest=sha256:313e29f77878c7c5215d1f7fa04a30282cc82cecb5002d7a788af0f9e5b6d43b

Observation ca9af8bf-17ee-461c-9429-6120e7467e86 · outbound

This paper cites One- time cookies: Preventing session hijacking attacks with stateless authentication tokens.

LLMs unlock new paths to monetizing exploits One- time cookies: Preventing session hijacking attacks with stateless authentication tokens

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.517318Z

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=2026-08-15T20:58:10.283416Z digest=sha256:66244928abbaa10af3ed816fd201008715367d4843e3f6108aa50489ae0221d0

Observation 89378483-ee4b-4c19-92cd-8dae7734b31c · outbound

This paper cites Do you still need a manual smart contract audit?.

LLMs unlock new paths to monetizing exploits Do you still need a manual smart contract audit?

Reference 17

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no resolver link, observed 2026-08-15T20:58:10.287793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.287793Z digest=sha256:89e86076cbe3d3a67fb4e8fe374ab6e335659663786acf5e0967b61db7557b11

Observation 1250b6a8-78a1-4214-88bb-00137572062c · outbound

This paper cites PentestGPT: An LLM-empowered Automatic Penetration Testing Tool.

LLMs unlock new paths to monetizing exploits PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

Reference 18

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no resolver link, observed 2026-08-15T20:58:10.292473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.292473Z digest=sha256:e37c348d06f8d163b76528b6d67259b6d489f2450bd7dce938b2033e3756f613

Observation eaaaef5f-9cf6-4177-bc74-b06c2f36e9b0 · outbound

This paper cites Why phishing works.

LLMs unlock new paths to monetizing exploits Why phishing works

Reference 19

Resolution
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no resolver link, observed 2026-08-15T20:58:10.297032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.297032Z digest=sha256:38076f676b119e41f9aed5cf092c429425e60d4e1155daafe13c5798820f05ce

Observation 8e7e482e-b771-432d-a4aa-af457679c80c · outbound

This paper cites Competitive Programming with Large Reasoning Models.

LLMs unlock new paths to monetizing exploits Competitive Programming with Large Reasoning Models

Reference 20

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no resolver link, observed 2026-08-15T20:58:10.302468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.302468Z digest=sha256:813c6d2d3be9005a2bb5f9e29c428b46950bc484065ad5003677d349f7b3475f

Observation 9b538e30-7973-495d-8c09-29595453de32 · outbound

This paper cites LLM Agents can Autonomously Hack Websites.

LLMs unlock new paths to monetizing exploits LLM Agents can Autonomously Hack Websites

Reference 21

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no resolver link, observed 2026-08-15T20:58:10.306696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.306696Z digest=sha256:9a65e1f0cc468f5922c4fce9173f637441ca7d1d7d6f2f66765467f9013041eb

Observation f1864df8-a32b-4e72-a105-9660eb65af4c · outbound

This paper cites Teams of LLM Agents can Exploit Zero-Day Vulnerabilities.

LLMs unlock new paths to monetizing exploits Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 22

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no resolver link, observed 2026-08-15T20:58:10.311083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.311083Z digest=sha256:a50dc2f7285e40157353ca4e82d7ef1c41f21d8209705e50ee22011add0b6beb

Observation 186eb35b-ea25-45c7-97ee-e5d4886cddb4 · outbound

This paper cites Stuxnet and the future of cyber war.

LLMs unlock new paths to monetizing exploits Stuxnet and the future of cyber war

Reference 23

Resolution
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no resolver link, observed 2026-08-15T20:58:10.315591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.315591Z digest=sha256:fe2525d71032881dffe4ed1406dd914cbb6b1ac6bf1549daf420456798d7515a

Observation 5ebcad55-0e53-41e4-861e-c4a1c84208aa · outbound

This paper cites A cute toy just brought a hacker into your home.

LLMs unlock new paths to monetizing exploits A cute toy just brought a hacker into your home

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.483706Z

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=2026-08-15T20:58:10.319596Z digest=sha256:b8813ca87c3873540e5c42ce4935b06aaa45186966310f6a94a3f9f8810fb385

Observation 38ba127b-bbf4-4912-a367-56187af205e6 · outbound

This paper cites Project Naptime: Evalu- ating offensive security capabilities of large language models.

LLMs unlock new paths to monetizing exploits Project Naptime: Evalu- ating offensive security capabilities of large language models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.470244Z

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=2026-08-15T20:58:10.323479Z digest=sha256:44af497ed23fdc9773f4023de078c50a44acfeb152ed260d203549a941637205

Observation 442f7da2-4fad-4804-8643-66da77dc37a0 · outbound

This paper cites A new approach to china.

LLMs unlock new paths to monetizing exploits A new approach to china

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.456053Z

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=2026-08-15T20:58:10.327564Z digest=sha256:8e6ba7eca33de61326b1786946f54ee5639cd62f02ed4a36a84e8aa9d3c20fb4

Observation 7f3c15d6-d542-4c0e-8a3e-0ce8b79532b9 · outbound

This paper cites Sensitive data protection pricing.

LLMs unlock new paths to monetizing exploits Sensitive data protection pricing

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.441266Z

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=2026-08-15T20:58:10.331451Z digest=sha256:c73d5986ac644a58ee2b0f340511ad03c2861cc4966723cfe62b0d09929434fb

Observation 9e45fc08-3ca5-4469-b895-3db39fb06f4d · outbound

This paper cites Translate docs, audio, and videos in real time with Google AI.

LLMs unlock new paths to monetizing exploits Translate docs, audio, and videos in real time with Google AI

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.427202Z

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=2026-08-15T20:58:10.335569Z digest=sha256:480d6a0a7c6bef6a433871749a38435757718a247e48cdbf4e2ff87c94bd3566

Observation c6628d1b-fc82-40b8-8d5d-d3779f6d1a3c · outbound

This paper cites Getting pwn’d by AI: Penetration testing with large language models.

LLMs unlock new paths to monetizing exploits Getting pwn’d by AI: Penetration testing with large language models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.412602Z

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=2026-08-15T20:58:10.339849Z digest=sha256:4dbdc92c06cacfe00236053af3a5448d94a7ffee51adb5b6a934dfee00a84f07

Observation 10cc15f6-7f65-4bc9-ad36-41170679fb38 · outbound

This paper cites Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects.

LLMs unlock new paths to monetizing exploits Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.343899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.343899Z digest=sha256:49fc4bf9d330e63ff1a4d88f04f48f2dbd9a7fb1c74c2a23d66b3c3e2900f021

Observation be0bd1c7-35a2-445b-80ab-b208964eb583 · outbound

This paper cites Devising and detecting phishing emails using large language models.

LLMs unlock new paths to monetizing exploits Devising and detecting phishing emails using large language models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.397838Z

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=2026-08-15T20:58:10.348024Z digest=sha256:33b631da512373f5300781bd8a2f13143ce417313bd140858cad2761cced816b

Observation 515427f9-0745-40d8-a7b6-bad80d39611a · outbound

This paper cites The role of crypto-currency in cybercrime.

LLMs unlock new paths to monetizing exploits The role of crypto-currency in cybercrime

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.384066Z

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=2026-08-15T20:58:10.351970Z digest=sha256:51ebe7af9ecfccf9a732075da7f20bef180d62ac00a20d9c927fa2a8b2001e2f

Observation 02f72f86-3c94-423a-8b8c-7670b42304df · outbound

This paper cites Detecting and characterizing lateral phishing at scale.

LLMs unlock new paths to monetizing exploits Detecting and characterizing lateral phishing at scale

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.371169Z

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=2026-08-15T20:58:10.356062Z digest=sha256:b63a5357014b325c952acd5bfd80f049a265e6b896cbac5b0a9b7507e5deb3cb

Observation ff9d0076-a80f-4e23-8589-58e0cdf0196c · outbound

This paper cites OpenAI o1 System Card.

LLMs unlock new paths to monetizing exploits OpenAI o1 System Card

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.360135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.360135Z digest=sha256:df59b9063e3c8d075ebf6e916008b531119d7bdb54da5a2f5e0d72ef5d60d089

Observation 4db2ed7a-124a-4612-8762-890d94da59fd · outbound

This paper cites GPT-4 passes the bar exam.

LLMs unlock new paths to monetizing exploits GPT-4 passes the bar exam

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.357572Z

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=2026-08-15T20:58:10.364811Z digest=sha256:33b0973dc43c636f942fdc79d2b41e68111037d93cac0cf566a2c41c24673a73

Observation 67ad6b6c-960e-417a-a326-27203a4510d9 · outbound

This paper cites Tesseract: an open-source optical character recognition engine.

LLMs unlock new paths to monetizing exploits Tesseract: an open-source optical character recognition engine

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.344121Z

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=2026-08-15T20:58:10.369076Z digest=sha256:22cf921863bda4179484801a8fdd1c2853b58a502972d4c4293bc2f77a20c440

Observation 468efabf-2f22-4631-90ba-4a202472af18 · outbound

This paper cites Double-extortion ran- somware: A technical analysis of Maze ransomware.

LLMs unlock new paths to monetizing exploits Double-extortion ran- somware: A technical analysis of Maze ransomware

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.329970Z

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=2026-08-15T20:58:10.373195Z digest=sha256:9f670b5e0810cf747e1228fab22e8fdfa7518a6cad1ce9be4899c0247e7cb241

Observation 1571cf42-c07a-4003-84c1-55c3bf8b9bc8 · outbound

This paper cites {UNVEIL}: A{Large-Scale}, automated approach to detecting ran- somware.

LLMs unlock new paths to monetizing exploits {UNVEIL}: A{Large-Scale}, automated approach to detecting ran- somware

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.315853Z

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=2026-08-15T20:58:10.377411Z digest=sha256:44d7dd7d0bbbd627108a58f5859700edfe430b94e9dbdf72c9a9f8253493e6f2

Observation 60f8741a-9b42-4499-88f0-95ee151e7fa6 · outbound

This paper cites Cutting the Gordian knot: A look under the hood of ransomware attacks.

LLMs unlock new paths to monetizing exploits Cutting the Gordian knot: A look under the hood of ransomware attacks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.302203Z

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=2026-08-15T20:58:10.381397Z digest=sha256:64c471847b58396a7c35ef8290ff5f4d521157f5038eddecd1679793fc14d408

Observation 8ff9d753-f6ad-4468-b9a1-6d5089ce1613 · outbound

This paper cites The Enron corpus: A new dataset for email classification research.

LLMs unlock new paths to monetizing exploits The Enron corpus: A new dataset for email classification research

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.288761Z

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=2026-08-15T20:58:10.386248Z digest=sha256:873f2406e2f868b34e61897933734566472fcf7fa9dbadfdb1da10b4af2ea835

Observation 7b8a134f-2c9d-42e4-80bd-7855bf642fd2 · outbound

This paper cites On the economics of ran- somware.

LLMs unlock new paths to monetizing exploits On the economics of ran- somware

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.275065Z

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=2026-08-15T20:58:10.390356Z digest=sha256:e5dd8c44e4792de131b3e98a7746b4fb94ee3ba4512ff7fdd9e3fc54c06a5853

Observation 6dda1e66-33e9-4708-8fcb-dea840ca8228 · outbound

This paper cites O’Reilly Media, Inc.

LLMs unlock new paths to monetizing exploits O’Reilly Media, Inc

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.261544Z

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=2026-08-15T20:58:10.394595Z digest=sha256:f5ffaaa9d59f766c027835fcdce86a30bab1e3eac3275bbee978b096edeb2ff3

Observation 7373fe8e-a598-4ef6-be9b-0a1caca24499 · outbound

This paper cites Evaluating LLM-based Personal Information Extraction and Countermeasures.

LLMs unlock new paths to monetizing exploits Evaluating LLM-based Personal Information Extraction and Countermeasures

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.398585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.398585Z digest=sha256:3bf6c3f0d2a5c64001bf2bb04ffbac17b4d71fa2696a2ea02fcc24994d78d5ad

Observation 229fff52-3c10-487e-9d9c-7c6bd19c758d · outbound

This paper cites The ransomware-as-a-service economy within the darknet.

LLMs unlock new paths to monetizing exploits The ransomware-as-a-service economy within the darknet

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.247676Z

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=2026-08-15T20:58:10.403100Z digest=sha256:a7f0f5b7646a18927649336656275d176444bff8ffbdc20e5adb1f6b95206a99

Observation 7baded2c-020b-465f-8295-eae75344d3a3 · outbound

This paper cites Identification and processing of PII data, applying deep learning models with improved accuracy and efficiency.

LLMs unlock new paths to monetizing exploits Identification and processing of PII data, applying deep learning models with improved accuracy and efficiency

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.234506Z

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=2026-08-15T20:58:10.408118Z digest=sha256:cab75768ea55f3e84cf9277fb02fb45dd6e4fc93a062d264ce77b6e277552889

Observation 2d6b08e1-f891-4896-a3c5-f6993aa75868 · outbound

This paper cites Credential stuffing.

LLMs unlock new paths to monetizing exploits Credential stuffing

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.220718Z

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=2026-08-15T20:58:10.412223Z digest=sha256:3b9371c36e09bb611fbb19cc08e5af3f0b92bb3a4c880374c461692c18142c0d

Observation 0d47c328-1499-40b7-8761-040b09614b3a · outbound

This paper cites Computer hacker invades web site of the justice depart- ment.

LLMs unlock new paths to monetizing exploits Computer hacker invades web site of the justice depart- ment

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.207464Z

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=2026-08-15T20:58:10.416355Z digest=sha256:8964d38328a223a5d81117f48d4447c57f6ef336ff9f2dde1cbefb1b29a102b1

Observation 38fd6260-923d-48d3-9590-c3d267a81a7d · outbound

This paper cites Preparedness framework (beta).

LLMs unlock new paths to monetizing exploits Preparedness framework (beta)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.193834Z

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=2026-08-15T20:58:10.420505Z digest=sha256:a72984eabeb4cbbe03ac1e2a7d2d92330eadb61ac5796a60a3054636a0efbf8e

Observation f3fddb68-99b4-47c5-922e-cbb99d524e69 · outbound

This paper cites Mentalist.

LLMs unlock new paths to monetizing exploits Mentalist

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.180702Z

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=2026-08-15T20:58:10.424461Z digest=sha256:a5cf5d2b359563eeee165325c1a4cfa9bd58e2ae8f4ced46a74cf9931ba60ae9

Observation f7d7a6e4-630d-4b3f-89a7-da2809a3d7c6 · outbound

This paper cites Targeted password cracking with OSINT data.

LLMs unlock new paths to monetizing exploits Targeted password cracking with OSINT data

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.167940Z

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=2026-08-15T20:58:10.429536Z digest=sha256:3fe62a5f22f0a1f99c3d3b4a77766f6024e8605fb24c21f61a92c5e599dc6d58

Observation 5a12ebda-f583-4dcc-8461-7a0f04d44451 · outbound

This paper cites PassGPT: Password modeling and (guided) generation with large language models.

LLMs unlock new paths to monetizing exploits PassGPT: Password modeling and (guided) generation with large language models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.155274Z

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=2026-08-15T20:58:10.433686Z digest=sha256:977ee56fd64545d258a9121d0537597a7d0bd47319b49a0a2a359f918551923f

Observation 040a3dca-1cb5-4bb3-94de-499d83ebf830 · outbound

This paper cites Tool- former: Language models can teach themselves to use tools.

LLMs unlock new paths to monetizing exploits Tool- former: Language models can teach themselves to use tools

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.142153Z

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=2026-08-15T20:58:10.437978Z digest=sha256:364d3b8b38270433921d188b3f87a806b418e95b321dd37ec57ff2e311081494

Observation 93c5d77e-431d-437f-b4ab-58023a891405 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

LLMs unlock new paths to monetizing exploits LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.128927Z

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=2026-08-15T20:58:10.442144Z digest=sha256:0debd800839bf87c4df6e3b94dce606d2e7655ed8d48a5bd4eccbb4ebf232acb

Observation ae292658-537e-4842-a521-71110d448f8d · outbound

This paper cites A tour of the worm.

LLMs unlock new paths to monetizing exploits A tour of the worm

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.115958Z

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=2026-08-15T20:58:10.446248Z digest=sha256:cc02767ce89ba08208318cf45964f467ae48cf04f4ed87f17eb1befeadf196b7

Observation 25a9b8b4-5841-4955-bfe1-0d4179e79a7a · outbound

This paper cites An Empirical Evaluation of LLMs for Solving Offensive Security Challenges.

LLMs unlock new paths to monetizing exploits An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.450150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.450150Z digest=sha256:40089c35ae771ebdb85916519fe82fcd1dbfcf5017ebb4883632a593fd327994

Observation 08ecde64-b106-487e-bf39-0bcd24ea0155 · outbound

This paper cites The cracked cookie jar: HTTP cookie hijacking and the exposure of private information.

LLMs unlock new paths to monetizing exploits The cracked cookie jar: HTTP cookie hijacking and the exposure of private information

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.103229Z

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=2026-08-15T20:58:10.454597Z digest=sha256:bcc9960f3bfbac0f6f7bd08d37a754c36b34a1f42722e0ed57e996d5d1a36eed

Observation 69c9e13c-8739-4475-bc41-b7ba33bff4fc · outbound

This paper cites Beyond mem- orization: Violating privacy via inference with large language models.

LLMs unlock new paths to monetizing exploits Beyond mem- orization: Violating privacy via inference with large language models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.089858Z

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=2026-08-15T20:58:10.458512Z digest=sha256:e3330e324676f9a3221acd286a1f32c1072b31b3b9a25e6e5171286ddcd98655

Observation c9f20b83-dfc9-4c89-a396-e7728a974640 · outbound

This paper cites Intriguing properties of neural networks.

LLMs unlock new paths to monetizing exploits Intriguing properties of neural networks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.462549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.462549Z digest=sha256:68d7acb476193a952ce931f19beafd0a015d2d2d9aebdcc078893d80f023f535

Observation e0e6cfa0-c53b-4f5b-9f80-235bd1aa623c · outbound

This paper cites Clio: Privacy-Preserving Insights into Real-World AI Use.

LLMs unlock new paths to monetizing exploits Clio: Privacy-Preserving Insights into Real-World AI Use

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.467742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.467742Z digest=sha256:5b94abebaff906c158d58d7c03ae25bc495b9f11d7c1953caf22f17fb62d5fb4

Observation 9e1c6974-de64-4ae4-9bc6-5f0eac628773 · outbound

This paper cites Ceo of world’s biggest ad firm targeted by deepfake scam.

LLMs unlock new paths to monetizing exploits Ceo of world’s biggest ad firm targeted by deepfake scam

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.076594Z

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=2026-08-15T20:58:10.472157Z digest=sha256:85c4d91b85deadc222239ccae0b30a3fd97809fed0305f8dda80526a876b5b7f

Observation 35dcea85-dc96-43ac-9d5d-61f93b9291da · outbound

This paper cites Private Attribute Inference from Images with Vision-Language Models.

LLMs unlock new paths to monetizing exploits Private Attribute Inference from Images with Vision-Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.475939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.475939Z digest=sha256:351d1fa2293a758218b2642cf070ffef5e17202c7c5a0eb9e77aed177a42de3b

Observation 69423bde-a70e-404b-b75a-bb218842b9a6 · outbound

This paper cites Data breach investigations report.

LLMs unlock new paths to monetizing exploits Data breach investigations report

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.062975Z

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=2026-08-15T20:58:10.479883Z digest=sha256:7ee857b9bd8b7a6b072e6ad69907a112b4b4116fbcf4498aaa7a804419098a87

Observation dc3ccd67-9f3d-4db2-a2b1-23fe8225e9a8 · outbound

This paper cites Non-zero sum games and survivable malware.

LLMs unlock new paths to monetizing exploits Non-zero sum games and survivable malware

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.049368Z

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=2026-08-15T20:58:10.483902Z digest=sha256:0805a487c4c6ea47e3d231eb0c532e2e4686dada01c08641cd78aaad1c7553ad

Observation 94512d3c-7f1d-4821-b871-510f27293246 · outbound

This paper cites Cryptovirology: Extortion-based security threats and countermeasures.

LLMs unlock new paths to monetizing exploits Cryptovirology: Extortion-based security threats and countermeasures

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.035900Z

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=2026-08-15T20:58:10.487984Z digest=sha256:5a20d18d01d8377ee2dba8d9448c511c817c8abddf23596538e9d118dee73b2b

Observation 0d31e38c-4240-4453-ae5b-686e6e8eb8e3 · outbound

This paper cites Cryptovirology: The birth, neglect, and explosion of ransomware.

LLMs unlock new paths to monetizing exploits Cryptovirology: The birth, neglect, and explosion of ransomware

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:11.022605Z

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=2026-08-15T20:58:10.492227Z digest=sha256:9925ee12d25165ad00aecd56ef17b5f218522d3d5c374d8a033456d6220ddeef

Observation 572ba4b6-6ed9-42b1-973a-eed5a1ec2da0 · outbound

This paper cites Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models.

LLMs unlock new paths to monetizing exploits Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.496145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.496145Z digest=sha256:c88a82f08d4f5ab0ba6371b85aeac7597ee6754e55d6ac8308c889d28549c167

Observation 052abd75-c0a6-49bb-93a5-0c77cb9ba8c9 · outbound

This paper cites CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.

LLMs unlock new paths to monetizing exploits CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.500385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.500385Z digest=sha256:bff8ac7321cb4950c89613a0aa7674e0fd46b79f2513b3f6c642895106304c2c

Observation 1274607e-a6df-4b6c-99b6-4f0a3a191731 · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:11.009214Z

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=2026-08-15T20:58:10.504864Z digest=sha256:8506ec2619f5a2ff3e3c38111593545e396de6bf8d304520a0a7e4f4509fa258

Observation 8e398a89-7304-480c-aeea-3f7453c31c83 · outbound

This paper cites Caption": [ [.

LLMs unlock new paths to monetizing exploits Caption": [ [

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:10.995507Z

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=2026-08-15T20:58:10.509507Z digest=sha256:934cc0de6fbce690a73bfffbf009625461e7388de16050b7a87dd586c3abaf26

Observation 04e4992d-fe42-483c-9dd7-a5f6eefde254 · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 70

Resolution
parse uncertain
raw_fallback, observed 2026-08-15T20:58:10.982179Z

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=2026-08-15T20:58:10.513917Z digest=sha256:5f0a9796407d194652ea73edda0fd550a6a9f25d5215e0c70f1f3f12a306e315

Observation bc27455c-e6ca-4c02-adcd-38f512a65fff · outbound

This paper cites AltText.ai: Get alt text.

LLMs unlock new paths to monetizing exploits AltText.ai: Get alt text

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:10.967829Z

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=2026-08-15T20:58:10.518117Z digest=sha256:df1b0961827b82dae4fbc194980b48fc79f37973a67264534fbbf399ed5f650d

Observation c6011fcf-0b78-4530-985f-233ebbe34e45 · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.953758Z

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=2026-08-15T20:58:10.522466Z digest=sha256:104a189aa8b09fd596ec7e4040c8e720d169430a1a89306cf84323409230f266

Observation 6fc7d872-7912-4edf-961d-a56d77606d30 · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.938665Z

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=2026-08-15T20:58:10.526583Z digest=sha256:de33913e3a7bccd3f127130e9ad8c61dd6814f6cbc6d9c2cda59abe5aa1d6e00

Observation 5827d3df-930d-4a2b-b350-a712630aa6ba · outbound

This paper cites alt_text.

LLMs unlock new paths to monetizing exploits alt_text

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:10.923896Z

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=2026-08-15T20:58:10.530751Z digest=sha256:2c3cd921371baa7e5e029fb9e5f081ef1b8635d4e64f3169264bb0c76e549b5b

Observation a3328416-470e-496e-b024-c818e3e94363 · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.908519Z

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=2026-08-15T20:58:10.535553Z digest=sha256:ddd5b9f470d273d9bcae12e350682072ea59de891780d73ed4f7f5c77d67e696

Observation 764bb47d-eb6e-4c93-9556-ae2846e81be9 · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.894386Z

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=2026-08-15T20:58:10.539696Z digest=sha256:a0e46dc83ba62b7f0fbec074093a8cbb05bb6773dfe1d452713672b52c8deb0a

Observation e874ed9e-fd76-414b-ab5a-834924bb794f · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.879452Z

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=2026-08-15T20:58:10.543471Z digest=sha256:d870be030f62adc992e83d61cfb6da6f59e42fdce9640008a0893f3af178074b

Observation 898511e8-d7f4-4de2-921a-967f1220bfd8 · outbound

This paper cites GET_HTML {query_selector}.

LLMs unlock new paths to monetizing exploits GET_HTML {query_selector}

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:10.864934Z

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=2026-08-15T20:58:10.547559Z digest=sha256:9af7c731ffef4e06fc45a2f1d4cde8239c828929e2818c99ed7f4b6b2abd369e

Observation 844d1f75-cbc0-4112-9bd2-6c6dffed8c7c · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.851202Z

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=2026-08-15T20:58:10.551677Z digest=sha256:9d209091076758471af03f23710bee0303eef989081e881070536aee074d9e5b

Observation 2ff09ffb-a003-47ff-b697-20cfc7faa923 · outbound

This paper cites an unresolved cited work.

LLMs unlock new paths to monetizing exploits Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:58:10.837581Z

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=2026-08-15T20:58:10.555662Z digest=sha256:bd1a8a180fba1cf9d797396959d996f39550336052f9ec8c8f009984fe2399b5

Observation c24701f7-fe25-4ff8-bc4a-eb2a1a2fa8dd · outbound

This paper cites International payment.

LLMs unlock new paths to monetizing exploits International payment

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:10.824239Z

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=2026-08-15T20:58:10.559613Z digest=sha256:a8a2c03e750bdfab7b04e5d5fa484bcab5cf7adf51c0672c99071e836fe24778

Observation a0a5a5e2-b9dd-49de-886b-3bb5e2af07b3 · outbound

This paper cites Next" button to proceed with the payment: ```javascript CLICK button[data-name=.

LLMs unlock new paths to monetizing exploits Next" button to proceed with the payment: ```javascript CLICK button[data-name=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:58:10.810313Z

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=2026-08-15T20:58:10.563503Z digest=sha256:fe6935f23ddb921b59627b3c2022458d2c8bf963127363623836a68c0a85cc0e

Pith citing papers

Observation 61332bd7-b51e-4e78-923d-b521858b6b3e · inbound

AI Agents Enable Adaptive Computer Worms cites this paper.

AI Agents Enable Adaptive Computer Worms LLMs unlock new paths to monetizing exploits

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:16:35.409488Z

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=arxiv_source observed=2026-06-28T09:18:59.008107Z digest=sha256:8a193c186c55993343b06f9f7cef21cb28183682e1083fa4759eeeba8e24084c

Observation c2ee9f59-99cc-4d11-9769-d15f74975e13 · inbound

Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond cites this paper.

Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond LLMs unlock new paths to monetizing exploits

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:28:59.066967Z

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=arxiv_source observed=2026-06-27T00:29:17.651138Z digest=sha256:403eaf586ade81df9fb2c71e535825580f4522b0502cd46e475d214131d13f98

Observation a53ea9fa-7dd1-4085-87c9-441538ae5f37 · inbound

AI Snitches Get Glitches: Towards Evading Agentic Surveillance cites this paper.

AI Snitches Get Glitches: Towards Evading Agentic Surveillance LLMs unlock new paths to monetizing exploits

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:40:07.479238Z

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=2026-06-25T19:58:46.691777Z digest=sha256:8e52cfbdc3f9aa47b8d438a44c14cd10098dd1b08231e288e1307082c30759e6

Observation 2587c873-da0d-44d7-a1de-92ca83caf316 · inbound

AI Snitches Get Glitches: Towards Evading Agentic Surveillance cites this paper.

AI Snitches Get Glitches: Towards Evading Agentic Surveillance LLMs unlock new paths to monetizing exploits

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:03:52.364978Z

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=2026-06-29T04:55:42.756698Z digest=sha256:530e3be0d3e4940c5f85d228eeed303826a54385a9a3bb57a05c256aa76385ec