Paper Citation Record · LEDGER

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2401.16185.

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

pith.paper-citation-record.v1
2401.16185 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 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 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:58:14.097862Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

18
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9e142de2-ac8a-4880-91b5-0192e70aa041 · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 140

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:35:48.435478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4aa40560-c5aa-47a8-9d93-036af37c2ed5 · inbound

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights cites this paper.

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-08T13:58:14.097862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc1fe6d2-9823-4618-a76e-08636a0ad544 · inbound

Generative AI for Internet of Things Security: Challenges and Opportunities cites this paper.

Generative AI for Internet of Things Security: Challenges and Opportunities LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.812601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f43b9f-4274-4781-9a81-0cd7520e3b15 · inbound

Adaptive Plan-Execute Framework for Smart Contract Security Auditing cites this paper.

Adaptive Plan-Execute Framework for Smart Contract Security Auditing LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:14.626696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 075fb2d7-82f6-4db0-80d0-3a21fb8beb90 · inbound

Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation cites this paper.

Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:22.335999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69082561-46e4-418a-b758-b132cf2dacaf · inbound

LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework cites this paper.

LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:39.105156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d47db9-8e72-46b0-b5ac-3c7addd97718 · inbound

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges cites this paper.

Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:05.906614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aa629ce-1ee7-4474-8832-a1a80dcf82c7 · inbound

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection cites this paper.

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:22.218251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653e5051-a7a2-4651-b3a6-b99824fc7cbf · inbound

FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction cites this paper.

FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T23:19:49.692128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aff9639-47eb-47c7-9a33-64168d3d7f3d · inbound

A Mixture of Linear Corrections Generates Secure Code cites this paper.

A Mixture of Linear Corrections Generates Secure Code LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:03.161302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b6b97ad-9ccb-4ec5-a41c-d5e1e720da9e · inbound

QuiLL: An LLM-Based Vulnerability Assessment Framework for the Wild cites this paper.

QuiLL: An LLM-Based Vulnerability Assessment Framework for the Wild LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:01:17.226537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e8d879dc-1073-42ed-ab2b-5e65045e8962 · 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 LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.216019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a403802-7e50-46ba-84be-eeed38e1ff83 · inbound

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks cites this paper.

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:15.889795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e29a6dc4-5f9f-40c7-8a53-4b412de43799 · inbound

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor cites this paper.

An End-to-End Approach for Fixing Concurrency Bugs via SHB-Based Context Extractor LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:05:49.728975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ec9fedd-fe91-4ca1-b353-9e75c4409a25 · inbound

Geometric quantification for nonlinear deformation in knitted fabrics cites this paper.

Geometric quantification for nonlinear deformation in knitted fabrics LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-15T11:27:58.396234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06902aee-8337-4a97-90ea-682281f909ff · inbound

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection cites this paper.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:19:14.766410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5d73135-ff7e-42eb-8df6-9e12fb0a6e94 · inbound

QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing cites this paper.

QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:26:03.481000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03946f3c-449e-4d63-b677-06ba2a6c4599 · inbound

Adversarial SQL Injection Generation with LLM-Based Architectures cites this paper.

Adversarial SQL Injection Generation with LLM-Based Architectures LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:17:06.795160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a423bc1c-08a5-4a64-94a7-b79e508d71ff · inbound

Security Document Classification with a Fine-Tuned Local Large Language Model: Benchmark Data and an Open-Source System cites this paper.

Security Document Classification with a Fine-Tuned Local Large Language Model: Benchmark Data and an Open-Source System LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:29:47.191899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85f1e1c5-3821-4d4e-8dfd-cb877b7a8483 · 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 LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:44:46.422173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e8dc999-cc25-4d4c-92ce-19677f3a2106 · inbound

Quality-Assured Fuzz Harness Generation via the Four Principles Framework cites this paper.

Quality-Assured Fuzz Harness Generation via the Four Principles Framework LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:21:16.940200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5bbcb678-7ab8-4db8-8514-360f9b97f671 · inbound

Comprehensive AI governance requires addressing non-model gains cites this paper.

Comprehensive AI governance requires addressing non-model gains LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:15:31.736904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c2a292b-c579-431c-93d8-366c65d32df4 · inbound

Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation cites this paper.

Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:29.961495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcd01a8d-7ac6-4f02-988e-dcde0cab6df8 · inbound

Revisiting Vul-RAG: Reproducibility and Replicability of RAG-based Vulnerability Detection with Open-Weight Models cites this paper.

Revisiting Vul-RAG: Reproducibility and Replicability of RAG-based Vulnerability Detection with Open-Weight Models LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T09:36:49.479551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4d49b97-fbaf-474f-9f22-dfb518eb00dc · inbound

On the Shoulders of Giants: Empowering Automated Smart Contract Auditing via the GiAnt Corpus cites this paper.

On the Shoulders of Giants: Empowering Automated Smart Contract Auditing via the GiAnt Corpus LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:47:18.168886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91ce2ad4-a8c2-41bf-9ca6-7cca744a90b2 · inbound

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software cites this paper.

Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:29:35.033297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ea790bd-cf69-4edc-892b-ec7113edd310 · inbound

Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection cites this paper.

Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-30T04:54:16.779683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f002742-dfaa-4490-ad6f-021c6f3a7052 · inbound

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities cites this paper.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T12:36:27.576038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a79403d7-c3f7-42f9-8a88-1542b540ce00 · inbound

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities cites this paper.

ShadowProbe: Language-Extensible Detection of Hidden Algorithmic Complexity Vulnerabilities LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T12:36:27.576038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 990f544c-761a-4e1b-9d79-f3d688417d30 · inbound

Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning cites this paper.

Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T04:53:04.033865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0afd04-7290-44a1-9146-7e7674e7168e · 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 LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:53.479601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4915af55-0c06-42ca-91e3-c176a5ed32a9 · inbound

Directed Symbolic Execution for Vulnerability Discovery: An LLM-Guided Approach in KLEE cites this paper.

Directed Symbolic Execution for Vulnerability Discovery: An LLM-Guided Approach in KLEE LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T08:19:02.194716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.