Paper Citation Record · LEDGER

Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.16073.

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

pith.paper-citation-record.v1
2403.16073 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:12.442882Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:26:29.971743Z

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 3a2ae1a9-e01e-4f38-9f46-42fc8a3b7562 · inbound

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

Adaptive Plan-Execute Framework for Smart Contract Security Auditing Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:12.442882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d1f19c8-507b-42b9-8808-d0c49c730161 · 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 Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:37.812749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c92f228-9a70-4322-8b10-d2624ac46a87 · 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 Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:21.791401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60dce541-5daa-468a-9567-b37c54b43a0b · inbound

LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation cites this paper.

LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:18.609117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bde5636-90d7-4af9-bde9-4a3209dfea9e · inbound

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection cites this paper.

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T11:52:40.899572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb3ac3a8-2846-4d25-9a86-2ad70474539c · inbound

LLM-Powered Detection of Price Manipulation in DeFi cites this paper.

LLM-Powered Detection of Price Manipulation in DeFi Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:10:54.369169Z

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.

Observation ae2db6af-7359-4d4e-aeaa-3a0f61bfb9ca · 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 Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:41:30.178480Z

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.

Observation 8d630db9-c5f9-4f4b-b56e-7937540fe775 · inbound

Zero-Shot Vulnerability Detection in Low-Resource Smart Contracts Through Solidity-Only Training cites this paper.

Zero-Shot Vulnerability Detection in Low-Resource Smart Contracts Through Solidity-Only Training Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:39:50.234437Z

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.

Observation d41c7a79-2c87-467a-afd0-a432ec87ca6f · 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 Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.760984Z

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.

Observation 999cce43-0862-4a68-862a-70aed699e344 · 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 Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:56:17.744409Z

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.

Observation b643c683-7dcd-4baa-948f-ebd341884fd9 · 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 Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:26:29.973602Z

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.