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Paper Citation Record · LEDGER

On the Challenges of Fuzzing Techniques via Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:17:28.822762Z

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 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=sha256:023f7c9bded09918a1d0c0394dd70244f5cdc83a47dfc283da762d7eb7cf0977

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:ef56d6bba4e58aca71a4aeb12f86dd6026d1b17c79deae3ff3a4bfb01d17baa3

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=sha256:7b82ea4ce2184c3678f6a5b062631deb8bc03f9256bef17bd2e47fa6b95a7375

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T15:57:55.966235Z digest=sha256:8a099a5dd038d38de537e4cbf6a5e692f72e46e8d10f05463b14e3224d8bcb6a