Paper Citation Record · LEDGER

LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.11108.

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

pith.paper-citation-record.v1
2401.11108 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:16:30.495134Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:15:28.702278Z

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 4808e1eb-a837-45f0-9e10-c84be421eaea · inbound

Large Language Model assisted Hybrid Fuzzing cites this paper.

Large Language Model assisted Hybrid Fuzzing LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:15:28.705292Z

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 71a3a087-c8b2-451a-a80a-d30b5d039678 · inbound

TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum cites this paper.

TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T11:16:30.495134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c0b02f-2022-436d-945e-d06ca7f2f3ad · inbound

Belobog: Move Language Fuzzing Framework For Real-World Smart Contracts cites this paper.

Belobog: Move Language Fuzzing Framework For Real-World Smart Contracts LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T18:59:12.932992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a6de072-d9fc-462c-a72a-99b900501eea · inbound

CKG-LLM: LLM-Assisted Detection of Smart Contract Access Control Vulnerabilities Based on Knowledge Graphs cites this paper.

CKG-LLM: LLM-Assisted Detection of Smart Contract Access Control Vulnerabilities Based on Knowledge Graphs LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:51:24.518577Z

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 f15efc02-f0c4-4482-bd0f-d10a8b9775b9 · inbound

V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution cites this paper.

V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.743883Z

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 acb967ed-b0d4-4a36-bd10-f7c9b727b757 · inbound

Capturing Monetarily Exploitable Vulnerability in Smart Contracts via Auditor Knowledge-Learning Fuzzing cites this paper.

Capturing Monetarily Exploitable Vulnerability in Smart Contracts via Auditor Knowledge-Learning Fuzzing LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:16.839051Z

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.