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Paper Citation Record · LEDGER

On the Challenges of Fuzzing Techniques via Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.00350.

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

pith.paper-citation-record.v1
2402.00350 v3

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 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:02.456331Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:01:14.113336Z

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 8899e083-c90f-45cd-bd47-b7960afbb625 · inbound

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph cites this paper.

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph On the Challenges of Fuzzing Techniques via Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T18:29:12.622225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:29:12.622225Z digest=sha256:672b3d165f2a3b1a46faf4e15a4732bf972747bc55f72563bd93c6ea2bebc5ec

Observation 44838563-1018-4d47-839e-b3391da4537a · inbound

Directed Greybox Fuzzing via Large Language Model cites this paper.

Directed Greybox Fuzzing via Large Language Model On the Challenges of Fuzzing Techniques via Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T23:56:02.456331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:56:02.456331Z digest=sha256:017f632decfe62c6f6ab370031691b3bdd729ac03c84eb1aaba0a445cf323bd1

Observation e61f619c-9459-4f81-93dc-2a84ac8f44b8 · inbound

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining cites this paper.

An Agentic Flow for Finite State Machine Extraction using Prompt Chaining On the Challenges of Fuzzing Techniques via Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T17:17:28.822762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:17:28.822762Z digest=sha256:a2936bb64cd623c989cfd7ccdee136b4cbce904fdee0d7ea3ae18bd488dd7495

Observation 6731155f-7519-4aeb-bb97-7112ad87566e · inbound

Pixels to Play: A Foundation Model for 3D Gameplay cites this paper.

Pixels to Play: A Foundation Model for 3D Gameplay On the Challenges of Fuzzing Techniques via Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T18:41:19.310261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:41:19.310261Z digest=sha256:c220a4ca296cfe0c68f0f5066eab0cdbaafb2df78edc563dc0135c63b35ea9b5

Observation 64510e11-2ef7-412b-8906-e985a84be4bc · inbound

MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing cites this paper.

MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol Fuzzing On the Challenges of Fuzzing Techniques via Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T18:42:10.173990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:42:10.173990Z digest=sha256:f49a90bbf1c2c7d8ce175dd71e8e5c2eed03a75d10aa1dc93d06816f84e07c29

Observation f1fb4858-a8d3-496d-9f74-d82380ed3d4b · inbound

RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements cites this paper.

RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements On the Challenges of Fuzzing Techniques via Large Language Models

Reference 25

Resolution
malformed identifier
arxiv_id, observed 2026-05-12T00:01:14.121737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T15:57:55.966235Z digest=sha256:2ef02821180ecb2cd339336c52f639ece2aab999b9336638337bda9b937e42f2