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Paper Citation Record · LEDGER

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments

As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2607.24964.

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

pith.paper-citation-record.v1
2607.24964 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T04:54:36.203173Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

65 of 65 outbound references displayed

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  • verified fuzzy0
  • unresolved64
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 359dff9b-95ee-46fb-a4ca-ad762f087302 · outbound

This paper cites VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection

Reference 1

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Observation e0a517e5-b97b-47e0-bda5-95ccd61b4517 · outbound

This paper cites A theory of dual channel constraints.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments A theory of dual channel constraints

Reference 2

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source=pdf_text observed=2026-07-31T04:54:36.004027Z digest=sha256:e6f792c31cc0981f66b03edcafc9157fa7b6245cd5940b5fcd847c67f82d92bb

Observation 03d3aa39-c6a5-4dae-804c-f21145889107 · outbound

This paper cites naturalizing.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments naturalizing

Reference 3

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source=pdf_text observed=2026-07-31T04:54:36.007347Z digest=sha256:7ddb5c950e0948ce1869e710e8b1b51ae16f353533f06d0c8441bcb4dc694a4a

Observation 6ae88985-18cb-42be-8252-f38ccdab8c23 · outbound

This paper cites Securing AI Agents with Information-Flow Control.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Securing AI Agents with Information-Flow Control

Reference 4

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source=pdf_text observed=2026-07-31T04:54:36.011136Z digest=sha256:ec8891ab44dae128ad67e77fb0b73c1eb160ff6c59f3636b32d5eaabddabec70

Observation 09d8014f-0318-4c36-b413-639976e3954f · outbound

This paper cites Abstract interpreta- tion: A unified lattice model for static analysis of pro- grams by construction or approximation of fixpoints.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Abstract interpreta- tion: A unified lattice model for static analysis of pro- grams by construction or approximation of fixpoints

Reference 5

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source=pdf_text observed=2026-07-31T04:54:36.014686Z digest=sha256:5c4972ea6292f0211d14feb4fe2ac0d7c42755a243efe7c5197be34b3c1f1cce

Observation e3826c43-d958-4266-85c9-4faa1a5f6328 · outbound

This paper cites Defeating Prompt Injections by Design.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Defeating Prompt Injections by Design

Reference 6

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source=pdf_text observed=2026-07-31T04:54:36.017835Z digest=sha256:62d949e77257dc2a90e88c83bbb435c15f1cce55fa57195df02cd49c2dcbeab6

Observation 214363f3-47ce-42f8-957e-f57c4db13a5f · outbound

This paper cites Re- ducing false positives in static bug detection with llms: An empirical study in industry.arXiv preprint arXiv:2601.18844, 2026.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Re- ducing false positives in static bug detection with llms: An empirical study in industry.arXiv preprint arXiv:2601.18844, 2026

Reference 7

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source=pdf_text observed=2026-07-31T04:54:36.021370Z digest=sha256:ebe66fb5afd3a1e39c8ac3cbc5346f805751780f029c486b94a6c9a88cf27cd9

Observation 201b0d23-30c6-45c7-b320-3d3768794dfd · outbound

This paper cites Minimizing False Positives in Static Bug Detection via LLM-Enhanced Path Feasibility Analysis.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Minimizing False Positives in Static Bug Detection via LLM-Enhanced Path Feasibility Analysis

Reference 8

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source=pdf_text observed=2026-07-31T04:54:36.024104Z digest=sha256:f6f2ac7ef2f923f76dc8e298c3db1290cd4e18ec5631718587ee6cdce5c756bc

Observation 2cb97a8b-17c7-4c91-8601-230598814cdb · outbound

This paper cites Vul-rag: Enhancing llm-based vulnerability detection via knowledge-level rag.ACM Transactions on Software Engineering and Methodol- ogy, 2024.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Vul-rag: Enhancing llm-based vulnerability detection via knowledge-level rag.ACM Transactions on Software Engineering and Methodol- ogy, 2024

Reference 9

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source=pdf_text observed=2026-07-31T04:54:36.027753Z digest=sha256:62b5dea0769d205b9bd3c2c38995dc96df53ecf99a16f2d36761537c7e765d38

Observation ab954a04-2883-4864-84d9-514ff1503aaf · outbound

This paper cites Syceval: Evaluating llm 14 sycophancy.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Syceval: Evaluating llm 14 sycophancy

Reference 10

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Observation dea991a1-45b5-4190-b34a-d01230f7915e · outbound

This paper cites PISanitizer: Preventing prompt injec- tion to long-context LLMs via prompt sanitization, 2025.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments PISanitizer: Preventing prompt injec- tion to long-context LLMs via prompt sanitization, 2025

Reference 11

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Observation 735a8b0d-061d-4241-8dbb-3cca64887624 · outbound

This paper cites an unresolved cited work.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Unresolved cited work

Reference 12

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source=pdf_text observed=2026-07-31T04:54:36.036798Z digest=sha256:27271bef6234cb3fba9bdc7874158b2f665ac1cef73996233f339ebaaa3dd10e

Observation 6ce69f66-e586-4ef4-a318-8f4460c4d08e · outbound

This paper cites Incremental analysis for code scanning.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Incremental analysis for code scanning

Reference 13

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Observation 396f1db1-d829-41d2-befe-d87a6bcf666a · outbound

This paper cites Ai-powered security detections.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Ai-powered security detections

Reference 14

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Observation 651287d8-3863-4d56-ad98-534983148dea · outbound

This paper cites Prompt injection attacks in large language models and AI agent systems: A com- prehensive review of vulnerabilities, attack vectors, and defense mechanisms.Information, 17(1), 2026.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Prompt injection attacks in large language models and AI agent systems: A com- prehensive review of vulnerabilities, attack vectors, and defense mechanisms.Information, 17(1), 2026

Reference 15

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source=pdf_text observed=2026-07-31T04:54:36.044852Z digest=sha256:635142102755bf5de992dc224cdfe213bfe856db459bd54badd6c4cf945fbd5c

Observation efc6688f-d112-440f-ab4b-bcf6ef614ea0 · outbound

This paper cites RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing

Reference 16

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source=pdf_text observed=2026-07-31T04:54:36.048659Z digest=sha256:010a037b2671d3902967c9f284829df2bf06a72d627a918ee56aff3c4fb1a62c

Observation b434ee78-de1c-4bea-b4e8-0d0fce1979c6 · outbound

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

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Defending Against Indirect Prompt Injection Attacks With Spotlighting

Reference 17

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Observation 67d57877-6a3f-4052-be0b-2cd911be265b · outbound

This paper cites An empirical study of suppressed static anal- ysis warnings.Proceedings of the ACM on Software Engineering, 2(FSE):290–311, 2025.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments An empirical study of suppressed static anal- ysis warnings.Proceedings of the ACM on Software Engineering, 2(FSE):290–311, 2025

Reference 18

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Observation 92778ed3-17af-4d76-bb3c-04c684d818cf · outbound

This paper cites an unresolved cited work.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Unresolved cited work

Reference 19

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Observation a37546c9-3c3e-406f-84d5-54e12f1ae1d2 · outbound

This paper cites an unresolved cited work.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Unresolved cited work

Reference 20

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source=pdf_text observed=2026-07-31T04:54:36.061052Z digest=sha256:ec336c52101864d25f38612a12297042803464a8705b15489fdfff2b730ada56

Observation 802e0e00-39d2-48d7-a13f-1e3c8ce69249 · outbound

This paper cites an unresolved cited work.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Unresolved cited work

Reference 21

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source=pdf_text observed=2026-07-31T04:54:36.063783Z digest=sha256:e9e393925621feb14e09cca5054e794ee473cb425337936806ec6f8775c090cf

Observation a2844616-ae78-4d21-b845-b8a878bf8d3d · outbound

This paper cites Llm-based vulnerability detection at project scale: An empirical study.arXiv preprint arXiv:2601.19239, 2026.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Llm-based vulnerability detection at project scale: An empirical study.arXiv preprint arXiv:2601.19239, 2026

Reference 22

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Observation f401c4b3-2c38-4d41-a8fc-3024b507fa23 · outbound

This paper cites Cotdeceptor: Adversarial code obfuscation against cot-enhanced llm code agents.arXiv preprint arXiv:2512.21250, 2025.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Cotdeceptor: Adversarial code obfuscation against cot-enhanced llm code agents.arXiv preprint arXiv:2512.21250, 2025

Reference 23

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Observation 536d8f07-8621-4cd0-9e03-8959e3e3446c · outbound

This paper cites Make a feint to the east while attacking in the west: Blinding llm- based code auditors with flashboom attacks.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Make a feint to the east while attacking in the west: Blinding llm- based code auditors with flashboom attacks

Reference 24

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Observation 1a99272f-503c-4dd8-bcfd-d5e3ab46a08d · outbound

This paper cites Make a feint to the east while attacking in the west: Blinding LLM-based code auditors with Flashboom attacks.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Make a feint to the east while attacking in the west: Blinding LLM-based code auditors with Flashboom attacks

Reference 25

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Observation 9618858c-1c7c-4604-9d7d-89eb076938e1 · outbound

This paper cites From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection

Reference 26

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Observation f99f694f-211b-49b3-8682-2c1552469a67 · outbound

This paper cites Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 27

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Observation 9746730b-718b-4191-bc73-4a8518f11db9 · outbound

This paper cites IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 28

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Observation 7512d795-92cc-4b62-93ac-09b09473eabb · outbound

This paper cites LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Models

Reference 29

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Observation b5723c4e-5801-45e1-a5a8-8cb33feb84b0 · outbound

This paper cites "Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments "Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild

Reference 30

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Observation 33d29a78-2ccb-4a65-9ac8-237a7a08b34f · outbound

This paper cites Reasoning hijacking: The fragility of reasoning align- ment in large language models.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Reasoning hijacking: The fragility of reasoning align- ment in large language models

Reference 31

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Observation 00b0752a-c480-47ef-b4ad-e2f4ae1b64fd · outbound

This paper cites Clang static analyzer.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Clang static analyzer

Reference 32

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Observation 2145f295-958a-4803-9326-ccdb49095742 · outbound

This paper cites an unresolved cited work.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Unresolved cited work

Reference 33

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Observation f8aeef37-713e-40b9-b15b-24295244b9f9 · outbound

This paper cites Prompt injection at- tacks on agentic coding assistants: A systematic analysis of vulnerabilities in skills, tools, and protocol ecosys- tems, 2026.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Prompt injection at- tacks on agentic coding assistants: A systematic analysis of vulnerabilities in skills, tools, and protocol ecosys- tems, 2026

Reference 34

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source=pdf_text observed=2026-07-31T04:54:36.103691Z digest=sha256:7ec97fc9560d0ac719ea1e2d4b14fd8ddc17c3813bd0aa8e578ef8ef17c8e36b

Observation b8622fe9-6bdf-49a6-8d9c-555d99eb7b04 · outbound

This paper cites Cppcheck: A tool for static c/c++ code analysis.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Cppcheck: A tool for static c/c++ code analysis

Reference 35

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source=pdf_text observed=2026-07-31T04:54:36.106509Z digest=sha256:5dbf08256c56ca66ee4581cd4e140d1f0f8b8605451536474af0c9a11ff69f05

Observation 7eef4a31-a190-4a23-b926-d3e3be22fb4a · outbound

This paper cites Sevra-bench: Social engineering of vulnerabilities in review agents, 2026.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Sevra-bench: Social engineering of vulnerabilities in review agents, 2026

Reference 36

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source=pdf_text observed=2026-07-31T04:54:36.109393Z digest=sha256:2bde2f244d0f351228e07e6b835ae9fd865b0778f6a849839e170c5d5837f603

Observation d8445e12-8500-4a47-af5e-fe8a88745563 · outbound

This paper cites Infer: A static analyzer for java, c, c++, and objective-c.https://fbinfer.com/, 2024.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Infer: A static analyzer for java, c, c++, and objective-c.https://fbinfer.com/, 2024

Reference 37

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source=pdf_text observed=2026-07-31T04:54:36.112248Z digest=sha256:21b7b287da2ef3b16cf2a2696478bba3f6c698d336f820c93bb0cfa310e3ca0c

Observation fb8b29dd-039f-4711-82ca-3f1874de9698 · outbound

This paper cites Microsoft digital defense report 2025: Light- ing the path to a secure future.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Microsoft digital defense report 2025: Light- ing the path to a secure future

Reference 38

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source=pdf_text observed=2026-07-31T04:54:36.115043Z digest=sha256:bedaa637b1e90fc854c874aadd64e404cc6eb0d2f2690f0c3e7e1390a58aab70

Observation 832d5c17-9d28-4100-9e49-5fad25af5e3d · outbound

This paper cites Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review

Reference 39

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no resolver link, observed 2026-07-31T04:54:36.117931Z

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source=pdf_text observed=2026-07-31T04:54:36.117931Z digest=sha256:9d96a0d5575120a6e79258406acc20175a0dba6e106b6400037d83586b647d80

Observation d91a8940-4142-42ad-b28b-3b0e70466250 · outbound

This paper cites MegaVul: A c/c++ vulnerability dataset with comprehensive code representations.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments MegaVul: A c/c++ vulnerability dataset with comprehensive code representations

Reference 40

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no resolver link, observed 2026-07-31T04:54:36.120804Z

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source=pdf_text observed=2026-07-31T04:54:36.120804Z digest=sha256:d87ad57d028709651dacc0688835991bc78c0ce0515aa7d03546ab9b894e854f

Observation 64d94cb1-650b-4912-8438-cdda544a8bec · outbound

This paper cites Lis- tening to programmers—taxonomies and characteristics of comments in operating system code.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Lis- tening to programmers—taxonomies and characteristics of comments in operating system code

Reference 41

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no resolver link, observed 2026-07-31T04:54:36.123579Z

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source=pdf_text observed=2026-07-31T04:54:36.123579Z digest=sha256:ae67b43ab8cda9d5af8c8f1d8698adec84157350debd84efed39b2825d8f0df6

Observation 26285cb6-55e2-40a9-8013-a353390c8497 · outbound

This paper cites Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems

Reference 42

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no resolver link, observed 2026-07-31T04:54:36.126618Z

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source=pdf_text observed=2026-07-31T04:54:36.126618Z digest=sha256:0b153fda7b8204cff3f87a708f8972902f973187c90ebda8598f61fc9324b887

Observation ec18a865-289c-4452-b7e1-cc8f51e7a2f7 · outbound

This paper cites Secret breach detection in source code with large language models.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Secret breach detection in source code with large language models

Reference 43

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no resolver link, observed 2026-07-31T04:54:36.130106Z

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source=pdf_text observed=2026-07-31T04:54:36.130106Z digest=sha256:f6145d514cd71f19b0ed1712be0894191428ad3ac71014b1db6f660b0e658c48

Observation a104144a-3cde-4052-b387-507322cce0ca · outbound

This paper cites Backdoors in Neural Models of Source Code.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Backdoors in Neural Models of Source Code

Reference 44

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no resolver link, observed 2026-07-31T04:54:36.133077Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.133077Z digest=sha256:14e1604fab1e5e85702ac25000e48baada5a851d8b11c78c3e3ae6879c46b0d0

Observation 5a2c6889-97fd-4882-8727-1066a9d59700 · outbound

This paper cites Agentic Much? Adoption of Coding Agents on GitHub.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Agentic Much? Adoption of Coding Agents on GitHub

Reference 45

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no resolver link, observed 2026-07-31T04:54:36.137025Z

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source=pdf_text observed=2026-07-31T04:54:36.137025Z digest=sha256:d8abc5dab77b32f9450bba4504d1b68d988d799c6414f72721cb69c49ac3fbd7

Observation 8c4253d6-323f-4b50-91ab-31792da47150 · outbound

This paper cites You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion

Reference 46

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no resolver link, observed 2026-07-31T04:54:36.140068Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.140068Z digest=sha256:03894f557fe18b882673167786620d2b6a2cd832507bc0eb26fadeb7aaa6283d

Observation e5a863df-aa8c-44ec-abf3-1d80df41c0dd · outbound

This paper cites Llms in software security: A survey of vulnerability detection techniques and insights.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Llms in software security: A survey of vulnerability detection techniques and insights

Reference 47

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no resolver link, observed 2026-07-31T04:54:36.143155Z

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source=pdf_text observed=2026-07-31T04:54:36.143155Z digest=sha256:84fa109a19ba18563b27cd91f06cc8103a7b3b72dab6d91e68baccdbf711c683

Observation 7b11ff17-97f5-4b3c-96e9-8b98b1c76a17 · outbound

This paper cites Promptarmor: Simple yet effective prompt injection defenses, 2025.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Promptarmor: Simple yet effective prompt injection defenses, 2025

Reference 48

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no resolver link, observed 2026-07-31T04:54:36.145938Z

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source=pdf_text observed=2026-07-31T04:54:36.145938Z digest=sha256:116ba138b537b53a59c1edd260b11d1abe300d5752346442b922a48c143313cb

Observation 31f71e45-b11a-46c3-91b0-6473dd525f99 · outbound

This paper cites Pull request analy- sis.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Pull request analy- sis

Reference 49

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no resolver link, observed 2026-07-31T04:54:36.148684Z

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source=pdf_text observed=2026-07-31T04:54:36.148684Z digest=sha256:2fad1ab98cda963017aef79ef2b3be9972d86fc4c5684d124d4406d145ba1ca5

Observation 4020683f-28bf-4d2d-b8ef-373e4e8e88d8 · outbound

This paper cites Syntax- and compilation-preserving evasion of llm vulnerability de- tectors, 2026.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Syntax- and compilation-preserving evasion of llm vulnerability de- tectors, 2026

Reference 50

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no resolver link, observed 2026-07-31T04:54:36.151568Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.151568Z digest=sha256:cd48f1e7eca637cdcb3c49d0ed8646a4cf5d6e0fcf69e10af2f41d775aba250b

Observation 1a6b624c-f424-4a95-a7c9-6862f478eb24 · outbound

This paper cites Coverity static analysis.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Coverity static analysis

Reference 51

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no resolver link, observed 2026-07-31T04:54:36.154589Z

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source=pdf_text observed=2026-07-31T04:54:36.154589Z digest=sha256:5b37d5420419be31c3003079391a306e17d97e68c142348a473de8d1f61aa215

Observation 2ac79f46-34cb-4802-a496-96f327999120 · outbound

This paper cites Tomassi and Cindy Rubio-González.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Tomassi and Cindy Rubio-González

Reference 52

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no resolver link, observed 2026-07-31T04:54:36.161367Z

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source=pdf_text observed=2026-07-31T04:54:36.161367Z digest=sha256:68ffafd0483d952ac82f9033ac8fa8511e1fc128e18b781541f5d9f43fd01e72

Observation 46013548-4a26-449b-b84a-afcb2451075a · outbound

This paper cites VulnLLM-R: A fine-tuned reasoning model for vulnerability detection.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments VulnLLM-R: A fine-tuned reasoning model for vulnerability detection

Reference 53

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no resolver link, observed 2026-07-31T04:54:36.165139Z

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source=pdf_text observed=2026-07-31T04:54:36.165139Z digest=sha256:216596e547980288b7867bbb0d4d5e0497d49a7b81b0f607330aaf2dcae73093

Observation c50c3205-cad9-437f-90d1-51cd9968a3f8 · outbound

This paper cites Measuring LLM Trust Allocation Across Conflicting Software Artifacts.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Measuring LLM Trust Allocation Across Conflicting Software Artifacts

Reference 54

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no resolver link, observed 2026-07-31T04:54:36.168169Z

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source=pdf_text observed=2026-07-31T04:54:36.168169Z digest=sha256:c17f71eab85de4fad12bff5a6d2dafcb00d34a19b125b9cb9cbaa02f52f24416

Observation ccff77c9-e108-46c9-996d-3781a5a13cac · outbound

This paper cites The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-31T04:54:36.171263Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.171263Z digest=sha256:cac0dc44e8028c5a9fb195244303cf8a8558c86a63059624c05718d37a4e8765

Observation 6a86c6aa-24c2-4212-b061-823682aa414f · outbound

This paper cites LLMDFA: Analyzing Dataflow in Code with Large Language Models.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments LLMDFA: Analyzing Dataflow in Code with Large Language Models

Reference 56

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no resolver link, observed 2026-07-31T04:54:36.175377Z

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source=pdf_text observed=2026-07-31T04:54:36.175377Z digest=sha256:e1d1da4b33f25e0dbec409b6a5ecd90ad9e5c445ba941b86cdcab96dedc16891

Observation f327ff41-5f2c-4446-b0fc-c9c3b778f7b5 · outbound

This paper cites Defending against prompt injection with DataFilter, 2025.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Defending against prompt injection with DataFilter, 2025

Reference 57

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no resolver link, observed 2026-07-31T04:54:36.178694Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.178694Z digest=sha256:75779280e2c3eb319dc0a518fe4f775ad757d1ca4b4dcda1a4baa5a581e30883

Observation a3e70435-c2e9-4c0a-b0bc-7b10fe7d152a · outbound

This paper cites Scale: Constructing struc- tured natural language comment trees for software vul- nerability detection.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Scale: Constructing struc- tured natural language comment trees for software vul- nerability detection

Reference 58

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no resolver link, observed 2026-07-31T04:54:36.182424Z

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source=pdf_text observed=2026-07-31T04:54:36.182424Z digest=sha256:b5f6bc7dfbe8d2dcbcf2ae577898230b597f77440377c419e9867972809383dd

Observation 768facd7-4344-4843-9ccf-e31c596d0599 · outbound

This paper cites Let the trial begin: A mock-court approach to vulnerabil- ity detection using llm-based agents.arXiv preprint arXiv:2505.10961, 2025.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Let the trial begin: A mock-court approach to vulnerabil- ity detection using llm-based agents.arXiv preprint arXiv:2505.10961, 2025

Reference 59

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unresolved
no resolver link, observed 2026-07-31T04:54:36.186005Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.186005Z digest=sha256:f92f89a3b4d0b0737dffede1232f818a5a9c00dbc936aae9b9f21af65b61494a

Observation faeededd-4102-4dd3-8547-125c1b169ddd · outbound

This paper cites Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering

Reference 60

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unresolved
no resolver link, observed 2026-07-31T04:54:36.188774Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.188774Z digest=sha256:81dead409041ae0fe32f976295083da43e28e00779ab801440d045c8aca9dcd4

Observation 7d55535f-c6ea-49e3-9262-4e0740dc7918 · outbound

This paper cites Natural Attack for Pre-trained Models of Code.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Natural Attack for Pre-trained Models of Code

Reference 61

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no resolver link, observed 2026-07-31T04:54:36.192043Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.192043Z digest=sha256:b1e9d37f4d3004e0f1965a8176cbe1dd72f36f309192dc945c837d4657c9813f

Observation c508a3db-130b-452a-958d-286fec2ad66b · outbound

This paper cites Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-31T04:54:36.195909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T04:54:36.195909Z digest=sha256:0251fff4b93252233e2d1f54fae966ffd0e3bb6617cbfc4d4927167c38c02fd2

Observation 407e8365-0369-4d4f-9c67-328640f82f9d · outbound

This paper cites Vultrlm: Llm-assisted vulnerability detec- tion via ast decomposition and comment enhancement.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Vultrlm: Llm-assisted vulnerability detec- tion via ast decomposition and comment enhancement

Reference 63

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no resolver link, observed 2026-07-31T04:54:36.199519Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.199519Z digest=sha256:35d19d8f5aacb363de695c91fff5c6aee39fa299911a28255a7006b80a7cb8bc

Observation 80af0448-6603-4854-b9a3-e780f1b73a96 · outbound

This paper cites Analyze the function step by step... Do not assume vulnerabilities — only report what is supported by the code and context.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Analyze the function step by step... Do not assume vulnerabilities — only report what is supported by the code and context

Reference 64

Resolution
unresolved
no resolver link, observed 2026-07-31T04:54:36.203173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T04:54:36.203173Z digest=sha256:d88eb390d2fcb4faf206545c6deeab3aec3b60edae8de0ba6367acaf5e5b01c8

Observation e21ed7a7-3bae-4524-baaf-6a5647b42a50 · outbound

This paper cites an unresolved cited work.

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments Unresolved cited work

Reference 2026

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parse uncertain
no resolver link, observed 2026-07-31T04:54:36.158419Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T04:54:36.158419Z digest=sha256:ed7838eac6f1f1cf9042a7fc216243fc3abb4fe00d46ef56a616b1b0c8052c90

Pith citing papers

No inbound Pith citation observations are available.