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Paper Citation Record · LEDGER

Fuzz4All: Universal Fuzzing with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2308.04748.

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

pith.paper-citation-record.v1
2308.04748 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:32:24.591696Z

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

10
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 01ba3e3a-9eea-42a6-96a3-4aab9dd34791 · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs Fuzz4All: Universal Fuzzing with Large Language Models

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:14:10.472690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T08:11:01.612343Z digest=sha256:0e8acff247261f6fc81a3027f311ed4235b22ee93943f462a71d4cf4d9d44b60

Observation 70d7b9de-484c-41ed-b11a-d63965efd96c · inbound

SWE-bench: Can Language Models Resolve Real-World GitHub Issues? cites this paper.

SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Fuzz4All: Universal Fuzzing with Large Language Models

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:02:01.282017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T14:02:01.201111Z digest=sha256:0e2620dac7c6ed65bbf28d897a9fd91fb5de553278d750ed69441dfd9bc1b76f

Observation 4ad7d938-19d6-4f03-93b4-7c8238f7143e · inbound

NESA: Relational Neuro-Symbolic Static Program Analysis cites this paper.

NESA: Relational Neuro-Symbolic Static Program Analysis Fuzz4All: Universal Fuzzing with Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:05:28.672259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T07:04:09.614807Z digest=sha256:8a7bae0ff04ab233eca4c403ef6e39fc02ddf5ef91fce396bd5b98bc306489ec

Observation da851390-32c3-4172-b155-229ef1c641ee · inbound

Resource-Efficient & Effective Code Summarization cites this paper.

Resource-Efficient & Effective Code Summarization Fuzz4All: Universal Fuzzing with Large Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-09T04:23:34.852339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:23:34.852339Z digest=sha256:f2a4785627f52ca16eba28ee78ce15fbb7d38ab48176333d213ee21736c44cc8

Observation 306bae78-a8c4-45ac-a084-dc94e1119609 · inbound

A Contemporary Survey of Large Language Model Assisted Program Analysis cites this paper.

A Contemporary Survey of Large Language Model Assisted Program Analysis Fuzz4All: Universal Fuzzing with Large Language Models

Reference 146

Resolution
unresolved
no resolver link, observed 2026-08-09T05:32:24.591696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:32:24.591696Z digest=sha256:cd53c14db5e19e791b9cd2f27f65fe7c8b257e6a9124691d3c3700d833ad8aae

Observation 81917d4b-5d8a-410a-9580-d7cf55074e80 · inbound

ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference cites this paper.

ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference Fuzz4All: Universal Fuzzing with Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T05:06:57.306140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:06:57.306140Z digest=sha256:02aabb97926415dcf463bc1f259e43b74b7dba91c47e23ce0fc3922fdfe9de11

Observation 341cef0b-7179-4a11-91f5-3558602f8002 · inbound

SDLLMFuzz: Dynamic-static LLM-assisted greybox fuzzing for structured input programs cites this paper.

SDLLMFuzz: Dynamic-static LLM-assisted greybox fuzzing for structured input programs Fuzz4All: Universal Fuzzing with Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:23:37.622601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T05:22:43.168181Z digest=sha256:cffd5ad1d6b8cc1c5a0c1df396d28c12cff6b15db90b77a4bd70b1fd7715f4ca

Observation 5fdec2e5-3530-45ba-9f15-c24e23250106 · inbound

FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing cites this paper.

FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing Fuzz4All: Universal Fuzzing with Large Language Models

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:18:31.399413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T02:14:32.211906Z digest=sha256:e92d7e72c4d9777d0781ee865f7834cc9ec8718c2893cfc0a5ab2a5aa5e3fd2d

Observation b5508339-e7ac-4e1d-aa63-a35d8457c315 · inbound

FuzzPilot: Plateau-Triggered Recipe Validation for Structured Text Fuzzing cites this paper.

FuzzPilot: Plateau-Triggered Recipe Validation for Structured Text Fuzzing Fuzz4All: Universal Fuzzing with Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:03:59.395298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T20:39:23.520700Z digest=sha256:0efdeebfc45f1d4318c1a6a1c328d50ee2fc31904139ce5959533060117ab8ab

Observation c5621be3-490d-430c-bda5-d8b9f9f7e447 · inbound

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study cites this paper.

Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study Fuzz4All: Universal Fuzzing with Large Language Models

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.819407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T09:07:01.783340Z digest=sha256:d207cf88e06266c2b560e99f21b93952d2c61533a64913e18ac6b9e4df69f811

Observation 60272615-d960-412f-b200-39c88a125b9a · inbound

From Resource Flow to Executable Tests: Petri-Net-Guided LLM Test Generation for Concurrent Stateful Rust APIs cites this paper.

From Resource Flow to Executable Tests: Petri-Net-Guided LLM Test Generation for Concurrent Stateful Rust APIs Fuzz4All: Universal Fuzzing with Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T07:12:18.202395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:12:18.202395Z digest=sha256:49a7d5411f7968dada8f53851cdf78d6c1eafa5af85ce451567fb47034dde31f

Observation 22056d44-b81a-4ae6-bab1-f2b8f129ee90 · inbound

Adversarial Test-Hardening for AI-Written Code: An Instrument Autopsy and a Pre-Registered Causal Estimate of the Critic Loop cites this paper.

Adversarial Test-Hardening for AI-Written Code: An Instrument Autopsy and a Pre-Registered Causal Estimate of the Critic Loop Fuzz4All: Universal Fuzzing with Large Language Models

Reference 126

Resolution
unresolved
no resolver link, observed 2026-08-01T03:57:40.804853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:57:40.804853Z digest=sha256:bccfdfe93856e45f48ab626b3aa24cfad3fd6bec4b62e84ecf9723185f778c03