Paper Citation Record · LEDGER

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2412.12039.

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

pith.paper-citation-record.v1
2412.12039 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:24:49.805679Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T09:16:56.388348Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:18:10.083886Z

Reference resolution

42 of 42 outbound references displayed

verified exact4
verified fuzzy18
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1cb62418-1586-41a8-90d6-2c76bf7b7d5c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection LLaMA: Open and Efficient Foundation Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.665116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e88c866-d5b1-49af-8539-9864eba1f117 · outbound

This paper cites StarCoder: may the source be with you!.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection StarCoder: may the source be with you!

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.669673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25b4460a-92ae-49eb-8dfc-11d7d0fd785f · outbound

This paper cites Deep learning based vulnerability detection: Are we there yet?.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Deep learning based vulnerability detection: Are we there yet?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.314174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dc905f1b-a651-4e73-9c2e-57b80f2eb255 · outbound

This paper cites Detecting false alarms from automatic static analysis tools: How far are we?.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Detecting false alarms from automatic static analysis tools: How far are we?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.677494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6164e076-ac50-4c1e-987f-9065bd3ae431 · outbound

This paper cites Stack Overflow in Github: Any Snippets There?.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Stack Overflow in Github: Any Snippets There?

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:24:49.984773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 70c84686-01a6-4d39-b869-4b8b9d497037 · outbound

This paper cites Beyond dependencies: The role of copy-based reuse in open source software development,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Beyond dependencies: The role of copy-based reuse in open source software development,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.684886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b8a1292-5389-4cff-8fef-c56d31edb535 · outbound

This paper cites How do developers reuse stackoverflow answers in their github projects?.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection How do developers reuse stackoverflow answers in their github projects?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.304692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2cbef76b-4913-44f7-9b0d-5fc730ed2fda · outbound

This paper cites Amazon Nova AI Challenge -- Trusted AI: Advancing secure, AI-assisted software development.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Amazon Nova AI Challenge -- Trusted AI: Advancing secure, AI-assisted software development

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:24:49.970594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f9fd3d4-053a-41f2-aba3-4f609f129dd2 · outbound

This paper cites AI is already writing about 30% of code at Microsoft and Google-here’s what it means for software engineers,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection AI is already writing about 30% of code at Microsoft and Google-here’s what it means for software engineers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.294840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d848ba02-d270-4de6-93be-8ea75915c335 · outbound

This paper cites Vulnerabilities in ai code generators: Exploring targeted data poisoning attacks,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Vulnerabilities in ai code generators: Exploring targeted data poisoning attacks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.284415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 39ddc62f-7b51-4193-afab-2236bfb40cc0 · outbound

This paper cites Just another copy and paste? comparing the security vulnerabilities of chatgpt generated code and stackoverflow answers,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Just another copy and paste? comparing the security vulnerabilities of chatgpt generated code and stackoverflow answers,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.273457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 65f1472d-d6c1-4fa2-8286-fa099af61c1f · outbound

This paper cites How secure is code generated by chatgpt?.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection How secure is code generated by chatgpt?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.706200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a9a65b-701a-4ca1-bcf4-4058846cd07f · outbound

This paper cites Asleep at the keyboard? assessing the security of github copilot’s code con- tributions,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Asleep at the keyboard? assessing the security of github copilot’s code con- tributions,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.709703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 941680e2-a134-4097-8ca3-d854f43293ef · outbound

This paper cites Devign: Effective vul- nerability identification by learning comprehensive program semantics via graph neural networks,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Devign: Effective vul- nerability identification by learning comprehensive program semantics via graph neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.250385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 136c73a4-48e0-4406-91fc-dce2a31cff06 · outbound

This paper cites Vulnerability detection with fine- grained interpretations,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Vulnerability detection with fine- grained interpretations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.238853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a368eb70-3500-4255-a674-522d7ebbf83c · outbound

This paper cites Linevd: Statement-level vulnerability detection using graph neural networks,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Linevd: Statement-level vulnerability detection using graph neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.227330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d73e4309-26aa-4990-bccc-08d1bcd12a7d · outbound

This paper cites To Err is Machine: Vulnerability Detection Challenges LLM Reasoning.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.722561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b71ed45-6191-486a-9c33-4acc9e3c59aa · outbound

This paper cites Vulnerability Detection with Code Language Models: How Far Are We?.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Vulnerability Detection with Code Language Models: How Far Are We?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.725996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8cbb3b5-2afe-478b-b80f-3b743501ddf7 · outbound

This paper cites Llms cannot reliably identify and reason about security vulnerabilities (yet?): A comprehensive evaluation, framework, and benchmarks,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Llms cannot reliably identify and reason about security vulnerabilities (yet?): A comprehensive evaluation, framework, and benchmarks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.216810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 39d2be9d-14b1-4016-959c-61aad804ca2b · outbound

This paper cites Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.732274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0590884d-5aae-42cb-b7ad-811d15e0039b · outbound

This paper cites Finetuning large language models for vulnerability detection,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Finetuning large language models for vulnerability detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.735296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b572e7d9-3330-48f4-8a19-a592654abb19 · outbound

This paper cites Grace: Empowering llm-based software vulnerability detection with graph structure and in- context learning,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Grace: Empowering llm-based software vulnerability detection with graph structure and in- context learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.738555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51483521-370a-4512-a833-66ffbc961fd3 · outbound

This paper cites Large language models for code: Security hardening and adversarial testing,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Large language models for code: Security hardening and adversarial testing,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.741675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8f5d453-263b-4f0c-a111-816fb09b0452 · outbound

This paper cites Cvefixes: Automated collec- tion of vulnerabilities and their fixes from open-source software,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Cvefixes: Automated collec- tion of vulnerabilities and their fixes from open-source software,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.188402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d3adf70-bd65-489d-bd2b-452f637b30db · outbound

This paper cites Symbolic Security Predicates: Hunt Program Weaknesses.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Symbolic Security Predicates: Hunt Program Weaknesses

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:24:49.930932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b26e67e1-133a-4ca1-b4af-fe6f74bb26e6 · outbound

This paper cites Amazon codeguru security,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Amazon codeguru security,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.178191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 152ab3c8-3fac-4b03-9bbc-3c62a53781df · outbound

This paper cites Semgrep: Lightweight static analysis for many languages,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Semgrep: Lightweight static analysis for many languages,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.169070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34aed1ea-a918-409e-adc5-3c9f224764e7 · outbound

This paper cites Codeql: Semantic code analysis engine,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Codeql: Semantic code analysis engine,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.159256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa9452ba-2ef8-4900-9803-8983d32d2e9a · outbound

This paper cites Sonarqube: Continuous inspection of code quality,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Sonarqube: Continuous inspection of code quality,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.148126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3b05baf-57ee-4e02-89ec-27e7472c74ef · outbound

This paper cites Automated vulnerability detection in source code using deep representation learning,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Automated vulnerability detection in source code using deep representation learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.137755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 21d42c4b-7220-4de9-ba75-3ae78d894f14 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.767235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1d44815-798e-49ce-931b-b746e4b66d55 · outbound

This paper cites Linevul: A transformer-based line- level vulnerability prediction,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Linevul: A transformer-based line- level vulnerability prediction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.127254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49690c62-6202-40ea-a8bc-879467cf70cf · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.774198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a52a07c-591e-49f6-a931-4ed8ec2f655e · outbound

This paper cites Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.777691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee68ffd-a58a-48d4-b596-ce3e53517c18 · outbound

This paper cites LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.781374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78bd7c0-830e-4deb-8ada-16ce2d116f35 · outbound

This paper cites How Far Have We Gone in Vulnerability Detection Using Large Language Models.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection How Far Have We Gone in Vulnerability Detection Using Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.785110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aefbd5c0-60a9-4e0a-b518-e56c7d3a0480 · outbound

This paper cites Realvul: Can we detect vulnerabilities in web applications with llm?.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Realvul: Can we detect vulnerabilities in web applications with llm?

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.116806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93874a9b-9515-45a6-9221-8517a24ee8c1 · outbound

This paper cites From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.791985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c91d2b9e-41a7-4e9d-9bd3-4973959d5872 · outbound

This paper cites One-for-all does not work! enhancing vulnerability detection by mixture-of-experts (moe),.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection One-for-all does not work! enhancing vulnerability detection by mixture-of-experts (moe),

Reference 39

Resolution: verified exact; doi, observed 2026-08-11T14:24:49.837627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a5aad842-0efa-431d-8532-e29130a94a81 · outbound

This paper cites Applying contrastive learning to code vulnerability type classification,.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection Applying contrastive learning to code vulnerability type classification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:24:50.105422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa327631-129a-4709-a099-99edea1293c4 · outbound

This paper cites ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?.

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.801977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad4a2401-54b0-4d59-beac-48fe3494e813 · outbound

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

Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T14:24:49.805679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0c489996-2647-4d31-917a-f57c6fbe1ad1 · inbound

Do Skill Descriptions Tell the Truth? Detecting Undisclosed Security Behaviors in Code-Backed LLM Skills cites this paper.

Do Skill Descriptions Tell the Truth? Detecting Undisclosed Security Behaviors in Code-Backed LLM Skills Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:07:51.305289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b085b9dc-e912-49aa-8b60-69044b3b5b37 · inbound

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection cites this paper.

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:18:10.085520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.