Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:41:42.429082Z

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 f4d25866-792e-4bf0-8d0e-ea4691ab7d07 · inbound

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration cites this paper.

Blockchain Meets LLMs: A Living Survey on Bidirectional Integration Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T13:09:18.565429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98c0377-59d6-4126-b3ea-145f136c9582 · inbound

Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence cites this paper.

Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T23:44:53.167880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae925d2c-d2fa-443e-b2b3-ce59576e8340 · inbound

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection cites this paper.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.811641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb9888b-ce86-4641-b5c9-355c116c270b · inbound

Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities cites this paper.

Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T20:53:22.420254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ce4b04c-b263-418b-a84d-a5746d92f68d · inbound

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights cites this paper.

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-08T13:58:13.989553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b06d0aa-e85d-4e37-af0d-e22cbc18d430 · inbound

MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models cites this paper.

MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T12:41:42.429082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6370a3-08e4-4dd9-9ca1-5e37e91992f2 · inbound

Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask cites this paper.

Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:39.590122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 117d6354-3116-425b-8ac9-c2ad2efec4ba · inbound

Towards Understanding Deep Learning Model in Image Recognition via Coverage Test cites this paper.

Towards Understanding Deep Learning Model in Image Recognition via Coverage Test Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T22:21:48.111072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 6f58d208-f03a-46d4-a215-76bcc447b8c2 · inbound

SoK: Security and Privacy of AI Agents for Blockchain cites this paper.

SoK: Security and Privacy of AI Agents for Blockchain Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T16:15:52.175793Z

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.