Paper Citation Record · LEDGER

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2501.02229.

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

pith.paper-citation-record.v1
2501.02229 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:01.875358Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T09:54:42.373926Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:36:29.634838Z

Reference resolution

38 of 38 outbound references displayed

verified exact8
verified fuzzy8
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be3e6ff2-70c6-4059-9516-51196a7d9ab1 · outbound

This paper cites Ethereum smart contract vulnerability detection and machine learning-driven solutions: A systematic literature review,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Ethereum smart contract vulnerability detection and machine learning-driven solutions: A systematic literature review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:17:03.542407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce924400-086a-412e-a641-af8784e797c6 · outbound

This paper cites A survey on ethereum smart contract vulnerability detection using machine learning,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection A survey on ethereum smart contract vulnerability detection using machine learning,

Reference 2

Resolution: verified exact; doi, observed 2026-08-10T22:17:02.003604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4562a083-a35e-4981-9403-9440a6d7402e · outbound

This paper cites How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.691047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df301bf7-2aa6-4438-a375-8bc0d6f813bd · outbound

This paper cites Attention-based machine learning model for smart contract vulnerability detection,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Attention-based machine learning model for smart contract vulnerability detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:17:03.525397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13a50d71-6135-4144-b327-241d8f434f10 · outbound

This paper cites Vulnerability analysis of smart contract for blockchain-based iot applications: a machine learning approach,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Vulnerability analysis of smart contract for blockchain-based iot applications: a machine learning approach,

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:17:03.308357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7ca35a9-81f1-478f-b24f-302d208429fa · outbound

This paper cites Deep learning- based solution for smart contract vulnerabilities detection,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Deep learning- based solution for smart contract vulnerabilities detection,

Reference 6

Resolution: verified exact; doi, observed 2026-08-10T22:17:01.969543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9bf0ea3-1843-4715-95ff-cc3e7007a24f · outbound

This paper cites Smart contract vulnerability detection: The role of large language model (llm),.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Smart contract vulnerability detection: The role of large language model (llm),

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:17:03.230901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8dd2eaa-bcd8-4f78-87aa-657ba2a456bc · outbound

This paper cites Robust vulnerability detection in solidity-based ethereum smart contracts using fine-tuned transformer encoder models,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Robust vulnerability detection in solidity-based ethereum smart contracts using fine-tuned transformer encoder models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.723246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8904e183-882c-47ee-9b01-8b5572b48fdd · outbound

This paper cites Long short-term memory,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Long short-term memory,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.728912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ffea0b4-213b-42e5-b8be-cf3a58459d83 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.733815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4238689b-7612-42c5-b2f9-26bc9238f99e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.739192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1626e3e2-985a-41a4-931e-f9a487851e19 · outbound

This paper cites Reentrancy vulnerability identification in ethereum smart contracts,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Reentrancy vulnerability identification in ethereum smart contracts,

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:17:03.039900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84349f9e-f27d-4f57-8579-45aaea5ec571 · outbound

This paper cites Static analysis of integer overflow of smart contracts in ethereum,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Static analysis of integer overflow of smart contracts in ethereum,

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:17:02.965999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a19218d3-15c1-4c67-bc39-1de1016cfdc0 · outbound

This paper cites Smart contracts: security patterns in the ethereum ecosystem and solidity,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Smart contracts: security patterns in the ethereum ecosystem and solidity,

Reference 14

Resolution: verified exact; doi, observed 2026-08-10T22:17:01.943216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de300362-606d-4cc4-926b-a43c9fc2fd01 · outbound

This paper cites Slither: a static analysis framework for smart contracts,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Slither: a static analysis framework for smart contracts,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.758988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a591af-a046-47c0-a388-0936cbc029e0 · outbound

This paper cites Smart contract vulnerability detection based on abstract syntax tree,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Smart contract vulnerability detection based on abstract syntax tree,

Reference 16

Resolution: verified exact; raw_fallback, observed 2026-08-10T22:17:02.804443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b95136b4-f46c-4659-8b84-2d7113122267 · outbound

This paper cites Ethereum smart contract vulnerability detection and machine learning-driven solutions: A systematic literature review,.

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:17:03.509411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce39023b-fb36-4889-8c79-b11281493176 · outbound

This paper cites Smart contract vulnerability detection using deep learning algorithms on evm bytecode,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Smart contract vulnerability detection using deep learning algorithms on evm bytecode,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:17:03.491482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81fb75f2-04ee-476a-82c2-f8011821efaa · outbound

This paper cites Gvd-net: Graph embedding- based machine learning model for smart contract vulnerability detection,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Gvd-net: Graph embedding- based machine learning model for smart contract vulnerability detection,

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-10T22:17:02.633934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f4e5705-8041-4805-a2d6-57968f48fc28 · outbound

This paper cites Detection of vulnerabilities of blockchain smart contracts,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Detection of vulnerabilities of blockchain smart contracts,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.787591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3913c0f-aaac-4c40-8442-813f233f913b · outbound

This paper cites Smart contract vulnerability detection using graph neural networks,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Smart contract vulnerability detection using graph neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.792386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c428e1a0-6fbb-4588-83eb-2aa70e649909 · outbound

This paper cites Effectively generating vulnerable transaction sequences in smart contracts with reinforcement learning-guided fuzzing,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Effectively generating vulnerable transaction sequences in smart contracts with reinforcement learning-guided fuzzing,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.797241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d9fba5-1803-403c-8428-badda4741130 · outbound

This paper cites Scgformer: Smart contract vulnerability detection based on control flow graph and transformer,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Scgformer: Smart contract vulnerability detection based on control flow graph and transformer,

Reference 23

Resolution: verified exact; doi, observed 2026-08-10T22:17:01.915097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14d8c9da-fbea-47f7-9497-1fa0799fde2b · outbound

This paper cites Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:17:02.348566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

This paper cites Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications.

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 f37b7f54-6dd9-4dab-9f09-851b814fb1f6 · outbound

This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:17:03.473429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f81a4ac-d0f6-4984-aacc-bfbfd66e0968 · outbound

This paper cites Bidirectional lstm with attention mechanism and convolutional layer for text classification,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Bidirectional lstm with attention mechanism and convolutional layer for text classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:17:03.457111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2870c423-de21-4daa-bf18-1686f954180c · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:17:03.439419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72fddc8a-f252-4dc6-83b7-2b5e6d13fcad · outbound

This paper cites Assbert: Active and semi-supervised bert for smart contract vulnerability detection,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Assbert: Active and semi-supervised bert for smart contract vulnerability detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:17:03.422876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dea09aac-70c8-4138-a3f6-846c542a2bcb · outbound

This paper cites Smartbugs: A framework to analyze solidity smart contracts,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Smartbugs: A framework to analyze solidity smart contracts,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.836071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c6f222-627f-4218-9f36-126c3988baae · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.865602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f662c3-7119-4cfc-b2cf-307c575622a8 · outbound

This paper cites Digital twins-enabled zero touch network: A smart contract and explainable ai integrated cybersecurity framework,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Digital twins-enabled zero touch network: A smart contract and explainable ai integrated cybersecurity framework,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:17:03.404435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f575e55-c514-49d7-b88f-8c4a5423e09b · outbound

This paper cites Can smart contracts become smart? an overview of transaction impact on ethereum dapp engineering,.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Can smart contracts become smart? an overview of transaction impact on ethereum dapp engineering,

Reference 35

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:17:02.118080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba593147-5d07-4587-b8c0-e971b70ea13c · outbound

This paper cites GPT-4 Technical Report.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection GPT-4 Technical Report

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.860619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f6b5e89-daaf-4886-8473-0b00617a6737 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.821670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94ca3b15-9bc0-43f9-9be6-6ae8450d7a90 · outbound

This paper cites Available: https://dx.doi.org/10.1088/1742-6596/1820/ 1/012004.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Available: https://dx.doi.org/10.1088/1742-6596/1820/ 1/012004

Reference 2021

Resolution: malformed identifier; doi_truncated, observed 2026-08-10T22:17:01.986569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 717918de-c1a9-4dc6-82a1-a97fb43f33fd · outbound

This paper cites Available: https://doi.org/10.1109/TIFS.2023.3237370.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Available: https://doi.org/10.1109/TIFS.2023.3237370

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:01.831505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee12d4b6-eaab-4f7e-9ff2-333f63287ab7 · outbound

This paper cites Available: https://doi.org/10.1109/MECO62516.2024.

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection Available: https://doi.org/10.1109/MECO62516.2024

Reference 2024

Resolution: verified exact; raw_fallback, observed 2026-08-10T22:17:02.711619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 79bb8359-ebdb-428e-8967-ffe99a2e2eac · inbound

Bastet: A Fine-Grained Expert-Labeled Dataset for DeFi Smart Contract Vulnerability Detection cites this paper.

Bastet: A Fine-Grained Expert-Labeled Dataset for DeFi Smart Contract Vulnerability Detection Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:29.636796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.