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Paper Citation Record · LEDGER

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.14493.

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

pith.paper-citation-record.v1
2607.14493 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:59:43.190509Z

measured 26 of 26 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 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

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation abd36ee6-c7f1-472f-a764-2ecb3a02bd03 · outbound

This paper cites INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection

Reference 1

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Observation e679a9b9-b5c5-42e6-817f-66ae315648ec · outbound

This paper cites A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered Applications are Vulnerable to PromptWares.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered Applications are Vulnerable to PromptWares

Reference 5

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source=pdf_text observed=2026-08-02T01:59:40.510130Z digest=sha256:39452ab4befdc63335a05ae0983023a1f156f6d1c74736da7753bfdbcf306123

Observation 51db0ee9-bcec-4c2a-be58-71602aecc826 · outbound

This paper cites Defending Against Indirect Prompt Injection Attacks With Spotlighting.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Defending Against Indirect Prompt Injection Attacks With Spotlighting

Reference 7

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source=pdf_text observed=2026-08-02T01:59:40.682733Z digest=sha256:03f5f858e1459a5aeab1e64ab264c64d1f7793eb0392b890170222a3449fb0bd

Observation 9bae59ce-9879-4d19-8477-828fb82b0bc0 · outbound

This paper cites URLhttp://dx.doi.org/10.1109/BDCAT63179.2024.00021.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation URLhttp://dx.doi.org/10.1109/BDCAT63179.2024.00021

Reference 8

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source=pdf_text observed=2026-08-02T01:59:40.813790Z digest=sha256:1a0e5ab44887011e6b7ecc19a95d4c75a05b305b9a3c1e65657651ec420f1009

Observation e4412469-21ef-4eef-b88e-8e496d9b3b04 · outbound

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

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Prompt Injection attack against LLM-integrated Applications

Reference 10

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source=pdf_text observed=2026-08-02T01:59:41.128700Z digest=sha256:eb2397dbc03075b4e6a595cb7717c51b5787a52cd55fa6a70658a31380842d23

Observation 010dfc26-f903-4980-9d2c-81c35508532d · outbound

This paper cites doi: 10.1109/SP61157.2025.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation doi: 10.1109/SP61157.2025

Reference 12

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source=pdf_text observed=2026-08-02T01:59:41.461074Z digest=sha256:1b8b31225350aaa1613eabee0f1120dcf554b0487962b763890b0c3f8b4a120e

Observation d8b8ba1d-a620-407e-90ed-2f7fdc6cfef6 · outbound

This paper cites RAGLog: Log Anomaly Detection using Retrieval Augmented Generation.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation RAGLog: Log Anomaly Detection using Retrieval Augmented Generation

Reference 14

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source=pdf_text observed=2026-08-02T01:59:41.746649Z digest=sha256:9f2099ef460c45a4f5f72dc09a153f1107137cfaf5b216bdffbb88968a2d45df

Observation 970f8924-8848-48d6-a20d-a06f8077b40a · outbound

This paper cites URLhttps://doi.org/10.1109/ICSE55347.2025.00007.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation URLhttps://doi.org/10.1109/ICSE55347.2025.00007

Reference 15

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source=pdf_text observed=2026-08-02T01:59:41.852727Z digest=sha256:11eba75f8345c1337daa9ff81d7c3ef65dc102d6bacd4d96441cf4eb6c4af075

Observation 48c95890-167e-4986-aba5-f1cbd36bcd41 · outbound

This paper cites ISBN 978-3-031-70878-7.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation ISBN 978-3-031-70878-7

Reference 17

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source=pdf_text observed=2026-08-02T01:59:42.122719Z digest=sha256:92cdde8a475be8b083a339e9623b2e02ababbeafb49f65b85efa2dd588d3d66e

Observation a8a55f8b-b879-4e2d-9892-4c705985a1d7 · outbound

This paper cites Jiaxing Qi, Shaohan Huang, Zhongzhi Luan, Shu Yang, Carol Fung, Hailong Yang, Depei Qian, Jing Shang, Zhiwen Xiao, and Zhihui Wu.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Jiaxing Qi, Shaohan Huang, Zhongzhi Luan, Shu Yang, Carol Fung, Hailong Yang, Depei Qian, Jing Shang, Zhiwen Xiao, and Zhihui Wu

Reference 18

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source=pdf_text observed=2026-08-02T01:59:42.187492Z digest=sha256:f12c278c4c152e1793a95c666a64c650fa5dbbed2e794e1f326c886498cf779c

Observation 761d3f6c-ea48-4a12-8215-36c3b3e614c1 · outbound

This paper cites Greg Robison.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Greg Robison

Reference 19

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source=pdf_text observed=2026-08-02T01:59:42.246258Z digest=sha256:788eca265024bba01940df872f351337bfdb4465c4f84882a6b546a4e5d96e2f

Observation d70a3747-6661-4fa6-b24d-9c70a6a2dcc9 · outbound

This paper cites ISBN 9798400718953.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation ISBN 9798400718953

Reference 20

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source=pdf_text observed=2026-08-02T01:59:42.312277Z digest=sha256:05dc61e463ba133e5b45591ee2c2bb28b13b91ce8f7f46a3f552dd0d653d4dcc

Observation cd731c14-16fd-4f40-9e7a-10f1a39187ff · outbound

This paper cites ISBN 9798400706363.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation ISBN 9798400706363

Reference 21

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source=pdf_text observed=2026-08-02T01:59:42.362942Z digest=sha256:4dc5d8dc9da5ad5c46ce65e1730e87eb0f03b47ea67b351062ed867357f764ed

Observation d3a61a87-ff81-4385-acd7-f3b1035c0eef · outbound

This paper cites Reachal Wang, Yuqi Jia, and Neil Zhenqiang Gong.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Reachal Wang, Yuqi Jia, and Neil Zhenqiang Gong

Reference 22

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source=pdf_text observed=2026-08-02T01:59:42.478687Z digest=sha256:e7a4836161d335f2a3ef123a7c53355518efd3ae1d81c1840fa57ce905a0796a

Observation 9e12a8d3-e6ef-416b-81b9-33fc83f2a075 · outbound

This paper cites ISBN 9798400712456.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation ISBN 9798400712456

Reference 23

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source=pdf_text observed=2026-08-02T01:59:42.572718Z digest=sha256:047cc205796159802be179df65f0f4847370e850ee72ef594173fef827ebf80c

Observation 9f8fb9b6-a166-4f36-a9c9-750295aab71b · outbound

This paper cites MINES: Explainable Anomaly Detection through Web API Invariant Inference.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation MINES: Explainable Anomaly Detection through Web API Invariant Inference

Reference 24

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source=pdf_text observed=2026-08-02T01:59:42.714001Z digest=sha256:b40b8fb5118a4349513be398ffe2f0d14dd01ed037539c478d0d3ac315c041ff

Observation 8d920f2e-7834-44c8-baee-b263f9b769a9 · outbound

This paper cites Robust log-based anomaly detection on unstable log data.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Robust log-based anomaly detection on unstable log data

Reference 25

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source=pdf_text observed=2026-08-02T01:59:42.857148Z digest=sha256:3af51525ebaf2daca77ba4e50a94704973b7628f82752aa99f6f60d8acf1e24c

Observation 938492f9-869e-4b88-bd35-c87360f559b4 · outbound

This paper cites Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics

Reference 27

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source=pdf_text observed=2026-08-02T01:59:43.080297Z digest=sha256:467a3757dee894a1176d155eed733e93a4ebc58e84e5d5bd74d3f75a6ca86899

Observation 34563745-019e-4136-b6d9-b485a0d6b02a · outbound

This paper cites routine vulnerability scanning by internal IT team.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation routine vulnerability scanning by internal IT team

Reference 28

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source=pdf_text observed=2026-08-02T01:59:43.190509Z digest=sha256:5ecbdd590e722e08cd336e45783ccfaac749b0b4a42d7ce5eda064f23002fa44

Observation 8138d549-07b0-4d09-9fd8-d04af4314403 · outbound

This paper cites Deeplog: Anomaly detection and diagnosis from system logs through deep learning.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Deeplog: Anomaly detection and diagnosis from system logs through deep learning

Reference 2016

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source=pdf_text observed=2026-08-02T01:59:40.583306Z digest=sha256:ce6396c9329326d4480a454f92b25e3dc1fc85cb0d888b11c8130b0e66f161cf

Observation a0b58332-8476-4f16-8b96-5ff593c35208 · outbound

This paper cites ISBN 9781450355728.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation ISBN 9781450355728

Reference 2019

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source=pdf_text observed=2026-08-02T01:59:42.980399Z digest=sha256:52f080057abbf8faa810a786f3149e7173844069cf57292a63b1b31c0b08da04

Observation 1ff366c7-9ab5-4c22-8299-153c21c9812d · outbound

This paper cites Owasp top 10 for large language model applications 2025,.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Owasp top 10 for large language model applications 2025,

Reference 2021

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source=pdf_text observed=2026-08-02T01:59:41.626514Z digest=sha256:d3ee66ea55a7201ac4005a3e7cf03f2e2dd2a6f4aa4796850a20e2340cb42af8

Observation 0b30d8d3-7aed-4120-aebe-c8304cb548d2 · outbound

This paper cites Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, and David Wag- ner.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, and David Wag- ner

Reference 2022

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source=pdf_text observed=2026-08-02T01:59:42.000821Z digest=sha256:b2b880226993e71255719569448234397a58968a4e896518a266384a685eabd5

Observation 0be19c4a-6ade-4a46-8e89-44942c1f0f4a · outbound

This paper cites Logprompt: Prompt engineering towards zero-shot and interpretable log analysis.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Logprompt: Prompt engineering towards zero-shot and interpretable log analysis

Reference 2023

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source=pdf_text observed=2026-08-02T01:59:41.294800Z digest=sha256:f4be3a9ea4185273f93e642e6e4bea0f4e3e1ebc4950c4333347318a5b21bbe6

Observation f44342e3-96a8-4a83-a8e6-7d7b55665f01 · outbound

This paper cites Embedding-based classifiers can detect prompt injection attacks.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation Embedding-based classifiers can detect prompt injection attacks

Reference 2024

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source=pdf_text observed=2026-08-02T01:59:39.957696Z digest=sha256:879e1dd91b969f2d46ad779b9e4a3966415702f4bf9ab6c5139f34d2f3b8e9be

Observation f40fd013-f23e-435a-8986-9d99caed58e9 · outbound

This paper cites ISBN 9798400714764.

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation ISBN 9798400714764

Reference 2025

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source=pdf_text observed=2026-08-02T01:59:40.970743Z digest=sha256:a464e7b78656faf782b4a541a7334343384d630440a63d4f47a336899d9c2647

Pith citing papers

No inbound Pith citation observations are available.