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Paper Citation Record · LEDGER

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2509.04615.

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

pith.paper-citation-record.v1
2509.04615 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:59:28.771885Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact4
  • verified fuzzy10
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d699f37f-a263-477c-99ca-1399f0870c93 · outbound

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

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Jailbroken: How Does LLM Safety Training Fail?

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:27.764800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:27.764800Z digest=sha256:3a62c47dd40a5005abc1b627b75587ec74c34898d5b8799e37fa9ea7367aafd0

Observation 136d3e88-d9a6-4115-8fb7-a6fef4e511d6 · outbound

This paper cites Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:27.810979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:27.810979Z digest=sha256:5322f30b9b11142872e6cef79d086eade6399bbac1f0803548019dc8cc3f77b4

Observation 7f0c4c94-9fea-4cec-b91e-ed6b9cb57b4e · outbound

This paper cites Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Reference 3

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unresolved
no resolver link, observed 2026-08-05T05:59:27.941873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:27.941873Z digest=sha256:e536ad02e6413086e2079af23827a7742270f25cd3c79a482208686c94d176f3

Observation f297b84b-23f3-4024-89bd-8efb53814954 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Prompt Injection attack against LLM-integrated Applications

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.044849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.044849Z digest=sha256:0780c40c7bd80b888485105a61aaf3143ea7e37ecfba1ce64602b60454f68d61

Observation a206467c-f860-4403-8b1d-a41e70f2405d · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.139852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.139852Z digest=sha256:50b0d6d2e52dd9f6e581e6cb2ccaf5ea24c43e0a24fd7643fb51b16094bb4ae0

Observation 7b63df69-81fe-40e7-a062-bae3a724ff7f · outbound

This paper cites PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.243698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.243698Z digest=sha256:27e3cf1f5af603dddc3f8165bb2eff99fc8029afeb4d00523c22d86ed935426f

Observation 920fb974-f6f7-4760-8b40-0a8b9717d708 · outbound

This paper cites Black Box Adversarial Prompting for Foundation Models.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Black Box Adversarial Prompting for Foundation Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.348384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.348384Z digest=sha256:b67110e939916ab1bccd42acc2d520bbde494c5eb968cc14a71b34665b5b8ba6

Observation ddf146e1-f23e-4c65-82b4-f542fbedbb27 · outbound

This paper cites A prompting-based approach for adversarial example generation and robustness enhancement,.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs A prompting-based approach for adversarial example generation and robustness enhancement,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.555851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.437962Z digest=sha256:331fb9fe1b646e736d74db29c174d015e37dca4a30d87b32be748511e7a398e2

Observation bb8d0d41-f8b3-4413-999a-3e438355bff2 · outbound

This paper cites BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.656669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.656669Z digest=sha256:2b0337c62077a6dc4838bee7210a19ed7dd993fc1ecbaf54ab64bc444078cc4e

Observation f2d41310-3d0c-4ca4-b2ec-0ba12563f06f · outbound

This paper cites Preemptive answer "attacks" on chain-of-thought reasoning,.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Preemptive answer "attacks" on chain-of-thought reasoning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.543605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.660854Z digest=sha256:328aca73a9bc99aba4b77ec0cb8279e895815477c41598d216a11c0b9174cc4e

Observation 4166b559-ecfe-405c-863f-59b3cf19d032 · outbound

This paper cites Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment

Reference 11

Resolution
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no resolver link, observed 2026-08-05T05:59:28.669109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.669109Z digest=sha256:7f1814af5460d7dd30c53d69d868799900028ac7cc804365a24c659ed57ae10e

Observation 31c492b0-4cdc-4a9f-8ee3-0cb730eaf08d · outbound

This paper cites Recent advancements in LLM Red-Teaming: Techniques, Defenses, and Ethical Considerations.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Recent advancements in LLM Red-Teaming: Techniques, Defenses, and Ethical Considerations

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.673407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.673407Z digest=sha256:3982be69663fce6e43f3524770a4a8eab3c613b71c90b3f2e67b768bedfab244

Observation ac8b7e90-5ad0-47ad-9fc9-ef0b23088d0b · outbound

This paper cites Learning to Poison Large Language Models for Downstream Manipulation.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Learning to Poison Large Language Models for Downstream Manipulation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.677245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.677245Z digest=sha256:8f7a8fb4ee38c90ef10836dd61718ffb5597c57f00d188768c3ab48fa459723f

Observation ce3add1f-4311-42ca-981e-7ac8553dd870 · outbound

This paper cites Scaling Trends for Data Poisoning in LLMs.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Scaling Trends for Data Poisoning in LLMs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.681100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.681100Z digest=sha256:d40485b4f8d1b98a9d7d090b5f5c4cbbade3835cad79c70d105451b5f73b4a32

Observation f18dd2eb-61be-4e89-ba1b-557fb7d014ed · outbound

This paper cites Jailbroken: How does llm safety training fail? In Advances in Neural Information Processing Systems ,.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Jailbroken: How does llm safety training fail? In Advances in Neural Information Processing Systems ,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.531127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.684816Z digest=sha256:db149f93c4bcc68fb5f24022abd50aff93892383f3267ae009c478270c17d434

Observation 3b752784-8a50-4f11-b528-eb4749a35695 · outbound

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

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.692055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.692055Z digest=sha256:a50aec09bd1f4ca2321308d2fcc6b93c41342253d5241b4118e7ae6fa7c54b5d

Observation b419bb81-c754-4df2-939f-e073e4280b32 · outbound

This paper cites 0xk1h0 - github: Jailbreak prompts collection.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs 0xk1h0 - github: Jailbreak prompts collection

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.504988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.696383Z digest=sha256:7019c0cee6da03c5203dce9bc5b87fa35b9814b2ccd48c9dd7fa4849016b6a8c

Observation ea66c2d9-bbe0-46a2-b415-16fa02f1b69f · outbound

This paper cites Llm jailbreak | mitre atlas ™.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Llm jailbreak | mitre atlas ™

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.492141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.700046Z digest=sha256:26125b74cff2ca81b58ac27a5d1fcd5a56179e1e609aca21319f0a64c76a68fc

Observation d2b95ec7-0475-4df8-b32d-ec2fb5e6ee97 · outbound

This paper cites Novel jailbreak technique via typoglycemia, 2023.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Novel jailbreak technique via typoglycemia, 2023

Reference 19

Resolution
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no resolver link, observed 2026-08-05T05:59:28.703514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.703514Z digest=sha256:72511f731c3bf4aff0160062668018d5be1c11b77fcb428affa3752d6f0213e9

Observation 12091326-8877-4c50-babf-be51316f30e1 · outbound

This paper cites Masterkey: Automated jailbreak across multiple large language model chatbots.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Masterkey: Automated jailbreak across multiple large language model chatbots

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.478533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.706953Z digest=sha256:6346c92c23e0b374c3b0e6365ece3f680bf2c24c37e6a7d41d946d683bafb251

Observation bdc5b373-fe80-4ca4-8e9f-42aee80eec37 · outbound

This paper cites Exploiting programmatic behavior of llms: Dual-use through standard security attacks.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Exploiting programmatic behavior of llms: Dual-use through standard security attacks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.715705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.715705Z digest=sha256:c70a83a196251492467eb721ed7263307d2435049e6a55e984abb0cb47140346

Observation 79d0d90e-e627-4d71-9c5f-4264af60fdc4 · outbound

This paper cites Prompt injection attacks in various llms, 2023.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Prompt injection attacks in various llms, 2023

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.465961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.719336Z digest=sha256:5a695f0a69949808efdafa41d6db9fd7b9126614c2ca5c6830a67063cdc321e2

Observation 6cf41b30-5d43-4d9c-8cf3-abccc6a0b67a · outbound

This paper cites Prompt injection attack on gpt-4, March 2023.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Prompt injection attack on gpt-4, March 2023

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.452580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.722934Z digest=sha256:3e0da81c34e39abbd143ddd6f79d82c85ffcc4fa4b67625009c38e1f9f4777b9

Observation 21332e49-ab08-4b7c-a50d-302f69aa472d · outbound

This paper cites MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.711730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.711730Z digest=sha256:edfdea878309df1d75107e402cfd505a1f15d3753ba56b73a2eb40d439639f5f

Observation 4fdcb0c3-9dff-4d51-9fb0-7ac8a5d4e349 · outbound

This paper cites Trojtext: Test-time invisible textual trojan insertion.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Trojtext: Test-time invisible textual trojan insertion

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.439908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.730849Z digest=sha256:5dcd243c511b415e9b669a91b2907adcdef0aeda7494d511f1f00d5446768323

Observation 0463aaac-9cd0-4aae-a5bc-d727c3db5cf0 · outbound

This paper cites Trojan activation attack: Red-teaming large language models using activation steering for safety-alignment.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Trojan activation attack: Red-teaming large language models using activation steering for safety-alignment

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.737973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.737973Z digest=sha256:f8b83a2239d193b9ba2725b34938c8311de1a8c3db8931d27dc32d9fd3b04a6a

Observation c70146f0-2fba-4554-9a18-c148d61dcb7e · outbound

This paper cites Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.741450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.741450Z digest=sha256:f461ed501683b89465c1b836c8d94f4cf68d0d1302b242615180f57384c1f291

Observation b2d45d7c-98b6-4e49-a293-59861480529f · outbound

This paper cites Do llms have political correctness? analyzing ethical biases and jailbreak vulnerabilities in ai systems, 2024.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Do llms have political correctness? analyzing ethical biases and jailbreak vulnerabilities in ai systems, 2024

Reference 29

Resolution
verified exact
raw_fallback, observed 2026-08-05T05:59:28.947863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.749477Z digest=sha256:904c178822832daa52f37813192b41e518413181e7751ad9c3efec38c8fc7022

Observation daeb5318-2729-4486-a055-f242a92723be · outbound

This paper cites TrojText: Test-time Invisible Textual Trojan Insertion.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs TrojText: Test-time Invisible Textual Trojan Insertion

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.734338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.734338Z digest=sha256:dda29ab4f96b70a620e66b5fcaee1e946ec2d92566d25b32ce07c5396d799528

Observation 7cf2896e-0630-4c0a-9b3d-3b63fd7d33a7 · outbound

This paper cites Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.757303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.757303Z digest=sha256:bd908869b6f792702dd1239a98acf8038abb636424e9ab214403eed6895ed997

Observation 56142a18-7a70-4c6b-8a25-c55c14c2c887 · outbound

This paper cites Reinforcement learning- driven LLM agent for automated attacks on LLMs.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Reinforcement learning- driven LLM agent for automated attacks on LLMs

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:59:29.426604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.761065Z digest=sha256:5792b195bf658b6914df6cf08123c7340a16c100aa8d6c7248b6051abfa1a6c0

Observation 0848b3bf-217d-4a88-a68c-a14b3f7ecd1b · outbound

This paper cites LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.745638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.745638Z digest=sha256:7547fbbe87578aac7fbb4c5d2e00909d2b54d0a2bf5ac4b760db8e7369c6095a

Observation 69d64cda-7a28-4ee3-92a3-7ff35bf5818c · outbound

This paper cites Trojan Detection in Large Language Models: Insights from The Trojan Detection Challenge.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Trojan Detection in Large Language Models: Insights from The Trojan Detection Challenge

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:59:28.827636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.768243Z digest=sha256:1107cc8823b987c3b4a14a4ca206019e52db69bff14801a21a2594bbebf2ac3b

Observation 30070107-183b-4479-be43-53eb2f806334 · outbound

This paper cites Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:59:28.876110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.752957Z digest=sha256:294c4ee83e8309cc8a4ec2f17a959f016845f92a69fcbf275a8df861f3114b06

Observation 47d134dd-4084-4a4e-96d4-d344fda06a2a · outbound

This paper cites TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.764525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.764525Z digest=sha256:4d3110c36c9d288b8c08d5eb37f737b162448542d91c260a8b52436da226424f

Observation e12e604a-c60c-47cb-9b38-7618463c417f · outbound

This paper cites Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.771885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.771885Z digest=sha256:f481c3aa736427cf609fed38dfb6c22cc9aa377f21f1cf9cd2897f6eceae4988

Observation 1a3834ad-20da-4726-a80a-0dce4755644f · outbound

This paper cites A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:59:29.314470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.571988Z digest=sha256:fb20fa1319e4fe7d8984373d7c634cbf1d0fa326736abe0fddee44ecf4bda077

Observation 5b3fb305-7b4d-4a36-a6fd-9e796798e7d7 · outbound

This paper cites an unresolved cited work.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:59:29.517816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T05:59:28.688583Z digest=sha256:bbd55ebd776cec91ee3c990d978e127576797e2fe0f183949a1fc96e80fa3a23

Observation 6e3a9bb8-c7aa-43d2-85e9-c7a7d309a71e · outbound

This paper cites Preemptive Answer "Attacks" on Chain-of-Thought Reasoning.

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs Preemptive Answer "Attacks" on Chain-of-Thought Reasoning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:28.665142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:28.665142Z digest=sha256:ad35172030ed6637824f5264f3923688cb6b4bd71e5558d785c89c195af99ad3

Pith citing papers

No inbound Pith citation observations are available.