Paper Citation Record · LEDGER

Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2504.13474.

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

pith.paper-citation-record.v1
2504.13474 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:12:31.413194Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T10:26:51.421959Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f09123df-7ece-4196-b89a-c72f527cbad9 · inbound

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

VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T22:12:31.413194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f525e389-877f-43d7-b5e2-f91350df5251 · inbound

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap cites this paper.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.210675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ab3194f3-7c3b-486d-8eb2-d417e6b9dfce · inbound

Teaching LLMs Program Semantics via Symbolic Execution Traces cites this paper.

Teaching LLMs Program Semantics via Symbolic Execution Traces Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:13.870016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5eb1f64b-108e-4e75-9b3e-854e17eb4aa4 · 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 Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:18:10.112000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dcb7f238-7274-41ae-b1d7-3b9f3a3fb7f2 · inbound

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction cites this paper.

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:44:46.413105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba984bfd-5a77-4785-a5a7-a3641b6f6ac3 · inbound

Antaeus: Hunting Repository-Level Logic Vulnerabilities via Context-Grounded LLM Reasoning cites this paper.

Antaeus: Hunting Repository-Level Logic Vulnerabilities via Context-Grounded LLM Reasoning Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T10:26:51.423501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2f06cbdb-451a-4d2a-b8fc-f7d3b3b0807a · 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 Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:52.222450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

ALIBI: Adaptive Agentic Attacks on LLM-Based Vulnerability Detectors via Adversarial Code Comments cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-07-31T04:54:36.081906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.