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Paper Citation Record · LEDGER

System Prompt Extraction Attacks and Defenses in Large Language Models

As of 19 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 3 inbound Pith citation observations for arXiv:2505.23817.

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

pith.paper-citation-record.v1
2505.23817 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:21.836925Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:21:30.393348Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

75 of 75 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 904ae51b-c775-413c-b332-05ed7340ee58 · outbound

This paper cites GPT-4 Technical Report.

System Prompt Extraction Attacks and Defenses in Large Language Models GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:15.868481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:15.868481Z digest=sha256:0de0d1553437a2c360b7af0f08456fea653f4de3d5b969cd10f85d293358fbc3

Observation 3409a184-0836-489a-8886-b6fc5dffd51a · outbound

This paper cites Prompt leakage effect and mitigation strategies for multi-turn LLM applications.

System Prompt Extraction Attacks and Defenses in Large Language Models Prompt leakage effect and mitigation strategies for multi-turn LLM applications

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:29.131750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:15.900195Z digest=sha256:7693ca7d55bb6b3c3da3d424a77da3a333948d59766835b4a79a11451fe4b4d5

Observation 68f541b0-139e-495c-ad6b-6eec07333f52 · outbound

This paper cites Harmful content generation.

System Prompt Extraction Attacks and Defenses in Large Language Models Harmful content generation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.982642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:15.979603Z digest=sha256:b53ad90fe483722553727ae4c94719ccb6367a4fd4d258c936797462b401fff6

Observation cfbd207a-b95b-4558-9006-2464ad7c8d96 · outbound

This paper cites How Susceptible are LLMs to Influence in Prompts?.

System Prompt Extraction Attacks and Defenses in Large Language Models How Susceptible are LLMs to Influence in Prompts?

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:16.031944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:16.031944Z digest=sha256:27680187425b61d3167e26b920f5b05763ce3a415664f205eae0fcf7c108c4f3

Observation 7e476f65-7f2c-43a4-a050-3de0463c1a4d · outbound

This paper cites Large Language Models: A survey of their development, capabilities, and applications.

System Prompt Extraction Attacks and Defenses in Large Language Models Large Language Models: A survey of their development, capabilities, and applications

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.856056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.088342Z digest=sha256:047da9ae876004f890eabe560b8f5c884654c52cd489b8c1b446f3a05f90d6f2

Observation 965523e6-8e41-4123-92a5-50e4aeec9dae · outbound

This paper cites Introducing the next generation of Claude.

System Prompt Extraction Attacks and Defenses in Large Language Models Introducing the next generation of Claude

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.708539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.177647Z digest=sha256:d0bc43e821dcbe4ce8e3dbac8b5231c122932c8d1515466c7ac59c7e90df4ccc

Observation 264951e0-35c1-4b96-af56-b6c3b95f317d · outbound

This paper cites Language models are few-shot learners.

System Prompt Extraction Attacks and Defenses in Large Language Models Language models are few-shot learners

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:16.277338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:16.277338Z digest=sha256:d3e463be5d52c164a9a7911ccd63f5868eb3e02a20682459fffd780eb1d7363d

Observation 0c4c3386-82fd-4c9b-854e-d5ad2a8135df · outbound

This paper cites System prompt leakage.

System Prompt Extraction Attacks and Defenses in Large Language Models System prompt leakage

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.495951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.375256Z digest=sha256:ab2ab934c7e46a3166134acf38e43ac9ab2270ead6d09efa3e62ab626bf93584

Observation dacd04bf-49a9-4a19-93d6-1baad2ea8909 · outbound

This paper cites Security and privacy challenges of Large Language Models: A survey.

System Prompt Extraction Attacks and Defenses in Large Language Models Security and privacy challenges of Large Language Models: A survey

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.302234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.449808Z digest=sha256:67f9de1c5b9423336f416cb33d752a2fb62bccfae90d761f8ab96d1e6ce87f35

Observation 18dc2fd6-bafc-438e-91d7-fb40e553749a · outbound

This paper cites google/txgemma-9b-chat.

System Prompt Extraction Attacks and Defenses in Large Language Models google/txgemma-9b-chat

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.192950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.516728Z digest=sha256:69e5d0efb56eaabaebae04537618bf8f48d705d1e2590977defe308716756035

Observation a66f8d0c-2eef-45ec-ad8b-b91a03eae4d3 · outbound

This paper cites tiiuae/falcon3-7b-instruct.

System Prompt Extraction Attacks and Defenses in Large Language Models tiiuae/falcon3-7b-instruct

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:28.100516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.575634Z digest=sha256:95e31f1cb5ed0bdd2561de5f8354f8e08d231954f2722c46564015297197315d

Observation 7aa40db5-8083-4292-be28-58c7902b7ceb · outbound

This paper cites meta-llama/llama-3.1-8b-instruct.

System Prompt Extraction Attacks and Defenses in Large Language Models meta-llama/llama-3.1-8b-instruct

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.940904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.612789Z digest=sha256:cf0b020676983de91401786d8b10ddac1be9913825c7999657840a6583f8aa9e

Observation 16bd48d7-df57-4aea-b5b2-cc68ffca1bbd · outbound

This paper cites The Llama 3 Herd of Models.

System Prompt Extraction Attacks and Defenses in Large Language Models The Llama 3 Herd of Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:16.664623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:16.664623Z digest=sha256:d9917d1cea6dfe41fed0a950f5a4276f0ee63e6c64116dd09c56ce3da279da38

Observation 75d57d93-2ec7-4c25-8b8f-99fa28be6c03 · outbound

This paper cites Do LLMs "know" internally when they follow instructions?.

System Prompt Extraction Attacks and Defenses in Large Language Models Do LLMs "know" internally when they follow instructions?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:16.754755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:16.754755Z digest=sha256:bf9ea0c4c4099da8792e2431fde5cad75347375595334409a997d13a1c1a97e9

Observation b5911f80-068c-4bc2-abf7-15e1af6fae08 · outbound

This paper cites LLM System Prompt Leakage: Prevention Strategies.

System Prompt Extraction Attacks and Defenses in Large Language Models LLM System Prompt Leakage: Prevention Strategies

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.768943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.852137Z digest=sha256:c7ce966dbb8a8ab53dda446cf3e4766568c3a12cdf97457c64dd1fb7319b017d

Observation 76c02757-bf5a-488a-ac44-e9e1ae5c7dae · outbound

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

System Prompt Extraction Attacks and Defenses in Large Language Models Pleak: Prompt Leaking Attacks against Large Language Model Applications

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.638262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:16.953127Z digest=sha256:a49e800c53b1e67a29c35ff15443a641281aeeb08fb2b4646271c66baa454f0b

Observation 2af08ee1-16db-402e-8136-758dd48bcbdc · outbound

This paper cites ChatGPT roles.

System Prompt Extraction Attacks and Defenses in Large Language Models ChatGPT roles

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.513060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:17.061404Z digest=sha256:b97bd4ba7c75b774ecbc04bac0e627a66e2c7efa678fe7cb295bf3b0d5563851

Observation a8932f52-8035-46bd-9b9c-30d2957f624b · outbound

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

System Prompt Extraction Attacks and Defenses in Large Language Models Exploiting programmatic behavior of LLMs: Dual-use through standard security attacks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.376292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:17.160826Z digest=sha256:c935ebc20820c0cc9f466971436d9013e090eb5d6495676551520396d5703d00

Observation 9c6d2e89-f6f6-4b7a-b19b-2e82c88b1d99 · outbound

This paper cites What is a prompt injection attack? https://www.ibm.com/ think/topics/prompt-injection, 2024.

System Prompt Extraction Attacks and Defenses in Large Language Models What is a prompt injection attack? https://www.ibm.com/ think/topics/prompt-injection, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.204619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:17.266114Z digest=sha256:b48a9d9792b335cad30b9eede5dd532e49801da3315fc5c4322644f0f3f13d75

Observation 7179ff40-a2b6-4f0f-8ae0-b42c81278ced · outbound

This paper cites Cosine similarity to determine similarity measure: Study case in online essay assessment.

System Prompt Extraction Attacks and Defenses in Large Language Models Cosine similarity to determine similarity measure: Study case in online essay assessment

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:27.067011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:17.351731Z digest=sha256:9468c2fdeb9f9ed5ef5636a68d014db9731cf1ee164b8665537a2991438340ce

Observation 227d56cf-4a72-4ca8-954f-adc32a8a8f80 · outbound

This paper cites Multi-step Jailbreaking Privacy Attacks on ChatGPT.

System Prompt Extraction Attacks and Defenses in Large Language Models Multi-step Jailbreaking Privacy Attacks on ChatGPT

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:17.454592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:17.454592Z digest=sha256:49cd6ad7d6f7b02f9bb933b4f1e0c4ff1aadbf875364611462de8619cfe8f09e

Observation 04c296ac-4f0e-4b54-8c69-ca54abaae151 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

System Prompt Extraction Attacks and Defenses in Large Language Models Rouge: A package for automatic evaluation of summaries

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:17.502752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:17.502752Z digest=sha256:d106f0c12febfa27cb52c7ced14714d8d803eca544b55f64cd9944480a30e2a2

Observation 30a345e2-d63f-489f-b53b-e898990292be · outbound

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

System Prompt Extraction Attacks and Defenses in Large Language Models AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:17.560475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:17.560475Z digest=sha256:36eb599cc48cea92c333592888094d83252cf7d966b16ff14d64d2696c19b08f

Observation df8f36f9-83c9-4aec-85a8-5af897699b7f · outbound

This paper cites Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities.

System Prompt Extraction Attacks and Defenses in Large Language Models Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:17.621783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:17.621783Z digest=sha256:5b78a51e41e12499e8b265a553de4948841fbc9a50dc98c0e99fc9bd784d9c7d

Observation 24a3a16c-7ad3-457e-9e14-52f68f6040bb · outbound

This paper cites Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content.

System Prompt Extraction Attacks and Defenses in Large Language Models Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:17.670309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:17.670309Z digest=sha256:165569b12c9bf639e6fac7a36ed06bfe0310064cb3f963f8fa6a6cc737efdc0e

Observation 0c3d2a8e-a1ec-4e24-a3a3-2a45f0f9b91d · outbound

This paper cites GPT-4 System Card.

System Prompt Extraction Attacks and Defenses in Large Language Models GPT-4 System Card

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:26.876274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:17.714988Z digest=sha256:008c8958bdabcc1098bfd1b00756cf1d29f1ecb9bac3f3552c05c86c0f61fbc8

Observation bcdb0479-0497-4716-ac7c-f434048734fc · outbound

This paper cites Introducing GPT-4.1 in the API.

System Prompt Extraction Attacks and Defenses in Large Language Models Introducing GPT-4.1 in the API

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:26.760865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:17.770710Z digest=sha256:49fc4b47ed2ef5e3deae469521bd07bc327f104654f0816e484d6855faf1b57b

Observation 5c86a944-cd53-4906-8dde-a15a4c7d60d9 · outbound

This paper cites Prompt Obfuscation for Large Language Models.

System Prompt Extraction Attacks and Defenses in Large Language Models Prompt Obfuscation for Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:17.822643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:17.822643Z digest=sha256:1336a14c5f1587e2c6e52b57f27f3fcb47b4a7977e40b1c2a91be87f48b93ae5

Observation 9b6fa092-b653-4055-9006-2a6a0a5eca04 · outbound

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

System Prompt Extraction Attacks and Defenses in Large Language Models Ignore Previous Prompt: Attack Techniques For Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:17.896064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:17.896064Z digest=sha256:767098800cd8b21f8975de388cdd4f3f1a9a100202a9175565a7bfb2c4da3ad6

Observation 38ed03f7-5671-439e-9928-0906af6f2d3a · outbound

This paper cites Instruction defense.

System Prompt Extraction Attacks and Defenses in Large Language Models Instruction defense

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:26.607229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:17.968777Z digest=sha256:d21a98325fc418ca93bf0e137027f3b52ada19df2f3875ff5f82827d99248587

Observation 677e49f2-382d-49d0-a7f4-736a24f30952 · outbound

This paper cites Chatgpt roles.

System Prompt Extraction Attacks and Defenses in Large Language Models Chatgpt roles

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:26.472795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:18.024289Z digest=sha256:6342fca0a97d1717131f875f6019a6934dbfc2c89792005a0e16e79d7c75ed83

Observation e5ae70ec-8c69-4734-8707-9998edb73825 · outbound

This paper cites Prompt Stealing Attacks Against Large Language Models.

System Prompt Extraction Attacks and Defenses in Large Language Models Prompt Stealing Attacks Against Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.063710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.063710Z digest=sha256:9c0f0883b04b21d390c52900e1966da7042f0c9fbfd3227b4147b8c8b054210b

Observation af023c88-0c17-4978-99fc-96cd4461ca92 · outbound

This paper cites Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models.

System Prompt Extraction Attacks and Defenses in Large Language Models Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.153671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.153671Z digest=sha256:2b4a73ce023a290661a8c79d14eef5a608486ade4b00b9c9877b65b94d402749

Observation 2023e019-f348-4999-b99f-971ea631d18e · outbound

This paper cites Do Anything Now.

System Prompt Extraction Attacks and Defenses in Large Language Models Do Anything Now

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:26.323022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:18.218172Z digest=sha256:03ef42c89bfc6cbd22d85f91706c29e604079089a40887a64751b1e0585920c7

Observation deeb8f5a-a1c3-4b84-b42c-c29b0de78707 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

System Prompt Extraction Attacks and Defenses in Large Language Models AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.283491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.283491Z digest=sha256:2e751a957831522defe7949a3bfcdba3d66d81e6926a43d9061ec9a4d930e19e

Observation f332e495-a5e7-459f-b185-e37b3f13fa49 · outbound

This paper cites ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems.

System Prompt Extraction Attacks and Defenses in Large Language Models ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.325891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.325891Z digest=sha256:971a589efe3098bc026a6f657d81a48615ea76212e6fc3c505b7f1e7c5cdfb9e

Observation 733cf314-bd1b-42d2-887d-7732eb270e68 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

System Prompt Extraction Attacks and Defenses in Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 37

Resolution
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no resolver link, observed 2026-08-07T13:28:18.392685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.392685Z digest=sha256:3a34bae37a2fc90bf8cf7c2cbee0d8ddbecb4d67af7a9eacb341e8bbad487d27

Observation a49f65a8-ab1e-4156-97c4-1d7f848a4cff · outbound

This paper cites Falcon 3 family of open foundation models, December 2024.

System Prompt Extraction Attacks and Defenses in Large Language Models Falcon 3 family of open foundation models, December 2024

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:26.207476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:18.448592Z digest=sha256:d23413df93548f99758dc6958ce408f4cb22807f9e2220e10c6b6a0fc83ebbcb

Observation 161fb040-ee28-4bec-9480-cd9a8c4f7b3b · outbound

This paper cites Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs.

System Prompt Extraction Attacks and Defenses in Large Language Models Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.519058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.519058Z digest=sha256:37b2b59b316d045893052980b6f989fd282bc344b027b84ef8edb961f0d562d2

Observation f905274b-f7b1-4004-95f6-a38bce22d580 · outbound

This paper cites Synthetic Multilingual LLM Prompts: A synthetic multilingual prompt dataset for prompting llms.

System Prompt Extraction Attacks and Defenses in Large Language Models Synthetic Multilingual LLM Prompts: A synthetic multilingual prompt dataset for prompting llms

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:26.124131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:18.590460Z digest=sha256:d25c072895573761ace30c4556aab478f67ebe9c7333c0420c1d8013ada0417d

Observation 20202f5c-7b09-449a-bf81-997ce875bb6f · outbound

This paper cites The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness.

System Prompt Extraction Attacks and Defenses in Large Language Models The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:28:22.318470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:18.665210Z digest=sha256:f962187385b32cbcb1802214383a7df5ad5a9a5d8b0c078ca964fbc0e7d5d520

Observation c697ad06-cd63-4715-b734-3431039dbec4 · outbound

This paper cites Attention is all you need.

System Prompt Extraction Attacks and Defenses in Large Language Models Attention is all you need

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.744733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.744733Z digest=sha256:36d0ed7daf9acbe583446df6fc7d7c6c26921e05d760bf6a4c2baf39ee419915

Observation 5e5ac694-5ff5-46f1-86c1-ab14a96b5bb0 · outbound

This paper cites Jaeger, Fan Zhang, Rory Pilgrim, Yossi Matias, Joelle Barral, David Fleet, and Shekoofeh Azizi.

System Prompt Extraction Attacks and Defenses in Large Language Models Jaeger, Fan Zhang, Rory Pilgrim, Yossi Matias, Joelle Barral, David Fleet, and Shekoofeh Azizi

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:25.969480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:18.801028Z digest=sha256:4905e7114b28557f10d6977e475a952aa1235ce13fd548b75d8724345e4c6d8c

Observation b11abeee-d132-4cfb-aee1-84801f49987e · outbound

This paper cites A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1.

System Prompt Extraction Attacks and Defenses in Large Language Models A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.865072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.865072Z digest=sha256:c87d0181d1672f0b678682291b84215e6a69f269932e7a2ff698e146ab6ee651

Observation a17c2539-2ea3-4a32-a41f-8417f4da89e1 · outbound

This paper cites Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications.

System Prompt Extraction Attacks and Defenses in Large Language Models Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:28:22.086452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:18.903915Z digest=sha256:19171f07635e17b21ba5fbd82f1323275482b90a7f56763aefa943b0ddd5a6ba

Observation 46e94282-c291-43c0-9f6e-3e25aec7761d · outbound

This paper cites PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization.

System Prompt Extraction Attacks and Defenses in Large Language Models PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:18.947368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:18.947368Z digest=sha256:2086504f7a8791f84139b20eab9c349dd3a6aa81aaa08b8b778afd9e451a2b5d

Observation 8b21fa52-71b6-4c68-adae-8f664e50b043 · outbound

This paper cites Jailbroken: How does LLM safety training fail? Advances in Neural Information Processing Systems, 36:80079–80110, 2023.

System Prompt Extraction Attacks and Defenses in Large Language Models Jailbroken: How does LLM safety training fail? Advances in Neural Information Processing Systems, 36:80079–80110, 2023

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:25.824465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:18.985934Z digest=sha256:1dc2e009504795df2066e8aac45d5905d20315b347fc2f880aee9098ce051423

Observation 0ab4e036-2bb9-4db0-9aea-4e8a469bce3f · outbound

This paper cites Chi, Quoc V.

System Prompt Extraction Attacks and Defenses in Large Language Models Chi, Quoc V

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.026388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.026388Z digest=sha256:1bf79e9d4283f317331c67e82484f778ce7611c691f1a5edee8d69468bc9dd13

Observation e5db517b-63b3-4ad3-afef-fe7ff873368e · outbound

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

System Prompt Extraction Attacks and Defenses in Large Language Models PRSA: Prompt Stealing Attacks against Real-World Prompt Services

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.070717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.070717Z digest=sha256:cbf5eff083975726599cbd7277a0134d131fced6b559f79ba1831a4cc31db810

Observation 124fb2d1-84b4-4e2c-85d1-5f8a13c7549b · outbound

This paper cites Assessing Prompt Injection Risks in 200+ Custom GPTs.

System Prompt Extraction Attacks and Defenses in Large Language Models Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.116843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.116843Z digest=sha256:f77ce5c9bedda27dc04fdee3d79f7ddeb6fdb205f00b3b00461cb9b419b6a1da

Observation 781d88b3-dd71-4560-9cef-d771f702c936 · outbound

This paper cites Effective Prompt Extraction from Language Models.

System Prompt Extraction Attacks and Defenses in Large Language Models Effective Prompt Extraction from Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.348303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.348303Z digest=sha256:848fba76334908565769383331ad28329df511a97672a8480816da796e329f4a

Observation 96a6d877-eb7d-4835-b925-670b7a99df8b · outbound

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

System Prompt Extraction Attacks and Defenses in Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:19.412839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:19.412839Z digest=sha256:fe5696aea53176c88bd3fa24cd19ca69f59583db3b111c188613cc7247d6aa83

Observation ad724349-2791-4445-a72a-bba6b4973ef2 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:25.684677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:19.459146Z digest=sha256:c6ee54247fdb93cccc31ef69118bdcd810b93589e8dd41fe3a463ea6b6900ddf

Observation 4b7f047d-32cb-4252-b07d-17108b202edd · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:25.481335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:19.514744Z digest=sha256:d7b7ad974dbbaa302ab11d49809e698f5424d1ef69e02854c4dd0fef1670836d

Observation f1d80ebf-f31f-4434-9239-cda6326d87f2 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:25.352312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:19.535097Z digest=sha256:88727c38bcddc4084fd075f35c85b301a1bd7cc67dfa9d744723825c40251546

Observation e5efa0c1-a192-4d91-9ca1-b2c4bdcea925 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:25.240899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:19.559491Z digest=sha256:399aeecaea2d4adf10db0de488fd37e55fc431193840b5d3e8bd2bfea251eec8

Observation 112a6624-9438-4064-9c8d-1242c9606e33 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:25.004742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:19.597777Z digest=sha256:f1e440b30603f450cf13d5e5d0436afe62ed799c40939428b2fdf53821b0b0a8

Observation 0e24d379-fe6c-4048-8617-3882ca4d789a · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:24.368087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:19.799751Z digest=sha256:411b4d7daa382f39d1f6f5ae17d3bd396186ada96c740b3930a968306ebb1a1c

Observation 05b4b0ec-1184-4dbe-a6e6-16df576fa242 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:24.249124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:20.272135Z digest=sha256:f9f6e34164722933c67cb21ae8cf5c1fb973bc60bfa7dc41c678219be4067cff

Observation 4636bb8f-0887-4d16-b81b-7481343fe74b · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:24.754740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:20.313708Z digest=sha256:98f272993e9e5018f4f6d770d0af00fc46802fb6343d575063b01fb5dcde8d3d

Observation 0f419749-771d-4eb5-88b1-45a926006581 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:24.652428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:20.378429Z digest=sha256:d6f3d586a5367bc6371bbb2b449e1ebf9d9de4a27178c4cf03eaf866bbc444f5

Observation 206ea9a2-8a80-4f34-8ce8-f9a2219720f3 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:24.567738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:20.438241Z digest=sha256:6c918c6dbfa4c9405434217d503ce4b65e85b1f84216e097c8017ff8fd083f3a

Observation e2d401d4-ed19-4ca2-b78f-c2ba443c1373 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:24.481390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:20.525454Z digest=sha256:7f503dac287ab8f66fe9b800cfd60b4c38f5f3f31f250b016acdf67801142516

Observation 9db4b0c9-d81d-43a2-b158-2ce8661f3a8b · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:24.138677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:20.604031Z digest=sha256:5fedac05f99b8772b93c227155a08a04386f478efd59d794fe39e84346244332

Observation fec12599-a0f0-42d3-8239-3ff42fe44287 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:23.743851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:20.868122Z digest=sha256:78d5a755d2c0535281cf15af2bddf25738c3dd507d440ab86ae4b1677b4778f1

Observation 26ae3c3f-e162-4bf5-8978-e41add032e12 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:23.620538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.029745Z digest=sha256:1971d90f67f15c44406b731e9d54c8b71dea32a9ac092f97b95704eb1a3d3b2a

Observation 38312853-8305-4986-adf4-2b02e19d0cff · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:23.972893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.104448Z digest=sha256:f0b58183d6942d76231ad1d5c20478090b02d87ac9fb39ee6ef1851436528882

Observation 2217e8b5-27fa-4bc7-a6b4-75dea27232f5 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:23.883772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.146753Z digest=sha256:db2912961214c7c8dada4efcbdbdc02840c004e55725f387e958017aad44f1a2

Observation 4901a84e-f253-4d88-8547-5d1f6f88807f · outbound

This paper cites I am a travel assistant, I share travel tips, destination ……….

System Prompt Extraction Attacks and Defenses in Large Language Models I am a travel assistant, I share travel tips, destination ………

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:23.499537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.182542Z digest=sha256:9ac697faaa747696df976b570e859c7e83b82c23224518930ad3ede9142e9838

Observation 690fcd5e-5a83-476e-82ac-e922141c337c · outbound

This paper cites I am a travel assistant, I share travel tips, destination ……….

System Prompt Extraction Attacks and Defenses in Large Language Models I am a travel assistant, I share travel tips, destination ………

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:22.963529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.336827Z digest=sha256:69df4ebb897c65f19f8ae8773267de0250e99598ee6c2a309af6ab14754615e7

Observation 6701a554-ac23-4d94-ad4b-aee539d2b8b9 · outbound

This paper cites I am a travel assistant, I share travel tips, destination ……….

System Prompt Extraction Attacks and Defenses in Large Language Models I am a travel assistant, I share travel tips, destination ………

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:22.895554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.538928Z digest=sha256:8436c3a9916ca8cfc8a7d90d261d966191d791c09a62de7177e195cd36486e84

Observation 6f5257d0-2f65-4810-a6e7-52e4ab7c0740 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:23.396384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.632440Z digest=sha256:7037098db81c52057bcf90a157c97ea31bdeffe06aac2d9b5647c55cb95da531

Observation 8dca8632-4df4-4356-b763-d7e41c1a45dd · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:23.239059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.693289Z digest=sha256:ef3a8055dd65cbad7d22c6eb9f261919894fbc86e624c45863a239aa77ed108d

Observation 2fc0da6c-d258-43ce-ab8c-6d84c8c6faa8 · outbound

This paper cites an unresolved cited work.

System Prompt Extraction Attacks and Defenses in Large Language Models Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:28:23.100624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.744743Z digest=sha256:3e19a8d419fc1c48aa30e7172a890c44f643d39421f9b3d2868b79d68aec7d03

Observation 50491108-12ad-4053-90d3-10d70fe146bb · outbound

This paper cites I am a travel assistant, I share travel tips, destination ……….

System Prompt Extraction Attacks and Defenses in Large Language Models I am a travel assistant, I share travel tips, destination ………

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:28:22.787794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:28:21.836925Z digest=sha256:1c83376ae4d344b79b6aaf6619031e661e22cd59865fcc8df6ff8b62764099e7

Pith citing papers

Observation 251d89f7-920e-41a7-afd9-9004fc6ad39a · inbound

Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening cites this paper.

Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening System Prompt Extraction Attacks and Defenses in Large Language Models

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T11:23:21.304322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T11:16:52.024973Z digest=sha256:0761ab812d19877303b6f3c4c17e8d26736be0de17a180718833f3b4f4900829

Observation ca5f4bdd-cfe1-4b76-bd04-129b61282dfa · inbound

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

Prompt Governance? On Governing Technologies Governed by Natural Language System Prompt Extraction Attacks and Defenses in Large Language Models

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:32.638976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:eb4549afdae90d1cd02394f52f0f357a7b5ff1acd4fdb360f8a70d86ae6769b2

Observation bd1c589c-65c5-4ad4-a46f-386c73719985 · inbound

SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channels cites this paper.

SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side Channels System Prompt Extraction Attacks and Defenses in Large Language Models

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-08T04:21:30.393348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:21:30.393348Z digest=sha256:10369acb314d3d078cb2dbade14457589495c701dffaacf0c3661cdd921a2439