Paper Citation Record · LEDGER

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

As of 17 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 8 inbound Pith citation observations for arXiv:2505.19828.

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

pith.paper-citation-record.v1
2505.19828 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:03.342895Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:02:54.227103Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:09:37.546449Z

Reference resolution

25 of 25 outbound references displayed

verified exact1
verified fuzzy14
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fda9ac4-0923-414d-b5fd-af4fc7bd09ed · outbound

This paper cites Cvefixes: automated collection of vulner- abilities and their fixes from open-source software.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Cvefixes: automated collection of vulner- abilities and their fixes from open-source software

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:09.164889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b31b96f-8165-4ee0-b0e7-45dccea377f1 · outbound

This paper cites Deep learning based vulnerability detection: Are we there yet? IEEE Transactions on Software Engineering , 48(9):3280–3296, 2021.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Deep learning based vulnerability detection: Are we there yet? IEEE Transactions on Software Engineering , 48(9):3280–3296, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:08.796392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7af37375-ecc7-4c59-8294-3ad0377109a7 · outbound

This paper cites Diversevul: A new vulnerable source code dataset for deep learning based vulnerability detection.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Diversevul: A new vulnerable source code dataset for deep learning based vulnerability detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:08.294753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15710a1b-3497-45ba-82dc-51d0a0712e80 · outbound

This paper cites CreativEval: Evaluating Creativity of LLM-Based Hardware Code Generation.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection CreativEval: Evaluating Creativity of LLM-Based Hardware Code Generation

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:09:04.509343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e9dba13b-230c-47a9-b8e2-150acbba3834 · outbound

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

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Vulnerability Detection with Code Language Models: How Far Are We?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:01.505613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a142ed5f-90e0-425c-824c-05ee848a7b91 · outbound

This paper cites Ac/c++ code vulnerability dataset with code changes and cve summaries.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Ac/c++ code vulnerability dataset with code changes and cve summaries

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:08.014836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36c11f08-37e7-42c7-ae59-f38cec9c8fe8 · outbound

This paper cites Linevul: A transformer-based line-level vulner- ability prediction.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Linevul: A transformer-based line-level vulner- ability prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:07.674937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be94fd98-fe0f-4a57-907a-0b6fc8cabccb · outbound

This paper cites Binaiv: Semantic-enhanced vulnerability detection for linux x86 binaries.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Binaiv: Semantic-enhanced vulnerability detection for linux x86 binaries

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:07.371449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2bd7db58-b990-4ae2-95fa-b141af86558a · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:01.864943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9ab519-fe7b-4498-9651-f58b8a834c94 · outbound

This paper cites Outside the comfort zone: Analysing llm capabilities in software vulnerability detection.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Outside the comfort zone: Analysing llm capabilities in software vulnerability detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:07.074839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08f52629-b115-4262-a17b-41d1b2701d98 · outbound

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

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Large language models for code: Security hardening and adversarial testing

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.015105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13daf1a2-e200-4387-8905-19c2ee26de1f · outbound

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

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Linevd: Statement-level vulnerability detection using graph neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:06.674774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f6f2760-a18a-4590-9520-18a7ebaee44d · outbound

This paper cites Qwen2.5-Coder Technical Report.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Qwen2.5-Coder Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.194848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6549ba68-065e-4805-aa9a-176e45492013 · outbound

This paper cites LLM-Assisted Code Cleaning For Training Accurate Code Generators.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection LLM-Assisted Code Cleaning For Training Accurate Code Generators

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.284613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f89d785-a6b7-4ef9-bc34-8760e80d1d64 · outbound

This paper cites Mistral 7B.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Mistral 7B

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.368873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4eb7679-4220-49fe-bab5-e904417d0a04 · outbound

This paper cites More Agents Is All You Need.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection More Agents Is All You Need

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.474889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab700f1e-27a7-4a03-9450-28d18178a287 · outbound

This paper cites Vulnerability management in linux distributions: An empirical study on debian and fedora.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Vulnerability management in linux distributions: An empirical study on debian and fedora

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:06.335487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a66c58d-653c-4790-8777-522b90363c26 · outbound

This paper cites Megavul: Ac/c++ vulnerability dataset with comprehensive code representations.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Megavul: Ac/c++ vulnerability dataset with comprehensive code representations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:06.052555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4a8d715-be84-4840-93d7-b4371af59214 · outbound

This paper cites Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.715563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a5f61a-649d-4a01-81ba-c324576356b9 · outbound

This paper cites LProtector: An LLM-driven Vulnerability Detection System.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection LProtector: An LLM-driven Vulnerability Detection System

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.793299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e542395-0863-46cf-ab38-0d69c41d9554 · outbound

This paper cites A systematic literature review on automated software vulnerability detection using machine learning.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection A systematic literature review on automated software vulnerability detection using machine learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:05.849365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 112e7eb0-bc16-4d0e-b88b-440d12f733bc · outbound

This paper cites Simulating strategic reasoning: Comparing the ability of single llms and multi-agent systems to replicate human behavior.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Simulating strategic reasoning: Comparing the ability of single llms and multi-agent systems to replicate human behavior

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:05.551887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b150650-86db-44b3-831b-6489232f5ae6 · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:03.185290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cd071fa-e9dc-4e35-ae9f-8de37f454c38 · outbound

This paper cites Large language model for vulnerability detection: Emerging results and future directions.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Large language model for vulnerability detection: Emerging results and future directions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:05.054750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fdf72a3-35f0-4c4c-82d7-c9b29e4a4767 · outbound

This paper cites relevant context.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection relevant context

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:09:04.774749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 3335d6c9-997a-4a55-abf1-39b619b0fd84 · inbound

VulnRepairEval: An Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities cites this paper.

VulnRepairEval: An Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T11:02:54.227103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d50d42f2-d11b-4ea7-a370-ba0edb90fc77 · inbound

VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization cites this paper.

VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T22:12:31.417987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb33fad-bcb2-44c6-abc3-d32b463dfadd · inbound

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage cites this paper.

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:41:21.777646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation edaebdec-b228-4a68-ad2f-a58ad29127ba · inbound

Needles at Scale: LLM-Assisted Target Selection for Windows Vulnerability Research cites this paper.

Needles at Scale: LLM-Assisted Target Selection for Windows Vulnerability Research SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:36:14.802704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 72810641-d066-46c2-893a-5cf1c42f3274 · inbound

Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation cites this paper.

Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:58:59.103098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07613a3b-58b9-479a-b8a6-5a7d806cb29e · inbound

Evaluating LLMs for Real-World Web Vulnerability Detection cites this paper.

Evaluating LLMs for Real-World Web Vulnerability Detection SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:09:37.549787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01bef7ce-6348-48a5-90fb-c49ec924f19b · inbound

Neuro-Symbolic Reasoning for Vulnerability Detection cites this paper.

Neuro-Symbolic Reasoning for Vulnerability Detection SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T22:42:57.965190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a38550a7-ed79-44c2-b4fb-c585beeb62e6 · inbound

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection cites this paper.

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:49.632959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.