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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 10 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 2026-08-10T06:31:04.303077+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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source=pdf_text observed=2026-08-02T01:59:39.815323Z digest=sha256:0811c90c13ed43253cbe0a38af702bdccae3b69c1c7c3b0c1be8ce8931fd4dfe

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:bf11db0d294a00ee4e815a778ad013b48a11ba6a4a9f67b05785a4643f6c8ef4

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=sha256:85bb448ef4fa2fa142062eaeaadc20e3e2237864dcaa935864a1447924c586b5

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:e2bcc5b41b71d5f8b419501fc14f15048171a5299e52a04520f6724c73359802

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:d0188fe589a08744b019e30c10065e9b09134f84da48dd53136536137343d546

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=sha256:3f732d3503625ea4574b678f79dadf520b26e5fcad85e6ae139eca7a49037aa9

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=sha256:280bf1ce4e87ee47d2d86b43b1b3d44ba57253d262256ddf64458ec27af388ec

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=sha256:407bbd06000848a83858f87d0a307417aef5edd5f08ab8b29f59f92684950b94

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=sha256:236898e58f9ed1b9639193e20f55cd681b4a2384fd7267fe00f22877bbe68f95

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:d53fb90225cbd1152331ccbc8181aa19a84e8608115d3c94fcf53581256564c5

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:cf8863eb34f740ac67001aefe8f709a031da7a17096656223af4c2829c74b09a

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=sha256:4d0a0ef94348e71f71227f8eb557341ad0fdc86f8dedd435c16b82525d1dc4c0

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:efd8e791a93559b52cf4dcf5dbc13283fb4a82cd4c42743b34d9f3ddba585e6f

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=sha256:8730896d0b7fcbdc475c29bf6f4a8f71d965960412738af49d714a7c2f6f8188

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:b0aeed63bc0e46dcd31dea85b93d1bbebf8d7828c4232b430a27db6bd96a8e91

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=sha256:9b741ef89ccd7e5d99fdf61ae7592a68072b727aa951795eec9da2e429626319

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=sha256:4adbc03803fbbc237094cfa64a16777172e0bae99fba2cff563cf614d7a2c2a7

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:aae79da33f1e0903a1d62c805f8580990e9ba5b02b08644551a4722d252e7c5e

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=sha256:7f8a8486f4ca259150bc5f8132f2bc7133f1ecc6d47c899ca873ac112d316bd1

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=sha256:0510a021b7911935f8143d686bd98d710a5f448a297d5ab183738c446119b8a8

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=sha256:839fa7002d6015920f6fbc83b4d58b103491c799e563a7f4a78824ec66dc2231

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:eead77e937ac5b7af4a49848917d1fa62cb3dedb6a1a3c06ee64ce0d9346869a

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=sha256:27f46e93bbe5b0fd2bfdd5c824e316618f48bc6f6211578e6ced568552056a3f

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:c9b4921d1200c4232019e50c1392b19ad41bc70e3a1e61761d69fac72dd79ce0

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=sha256:668841d131ce9f4451658e94d9c468ef64fc384de5fc7b913846b46f7fde695c

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=sha256:10c12d632a5b53d9774930d567917495f9e1bc7ca0fb1c3c0b6f6924ec8733c4

Pith citing papers

No inbound Pith citation observations are available.