Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models | Paper Citation Record

Observation e18a1b45-3bb5-4d0d-ab1c-a2d5167eebb1 · outbound

This paper cites Hellendoorn, Bogdan Vasilescu, and Brad A.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Hellendoorn, Bogdan Vasilescu, and Brad A

Reference 1

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Observation 10a874e1-5a2d-47dd-bc73-d894350077ce · outbound

This paper cites Butt, Mohammad Taha Khan, and Muhammad Ali Gulzar.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Butt, Mohammad Taha Khan, and Muhammad Ali Gulzar

Reference 2

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Observation 16f19974-c24f-4efb-aea8-ffc1416c5929 · outbound

This paper cites Mutation-based consistency testing for evaluating the code understanding capability of llms.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Mutation-based consistency testing for evaluating the code understanding capability of llms

Reference 3

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Observation 80e37ba9-5d22-4ed8-8357-a8c81eeacc0b · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 4

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Observation 7ff7efff-4d83-4201-8a24-ee3c0fbfdfc4 · outbound

This paper cites Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization

Reference 5

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Observation f4a1481e-8b89-4b0b-b5a4-c20000f4f7c1 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 6

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Observation 25e6bf80-a7c2-44bc-9fe5-3b56a1cd1d37 · outbound

This paper cites Malpacdetector: An llm-based malicious NPM package detector.IEEE Trans.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Malpacdetector: An llm-based malicious NPM package detector.IEEE Trans

Reference 7

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Observation fbc25a0b-f17e-44b5-8a1e-3eb29506a0ab · outbound

This paper cites Vulnerability detection and monitoring using llm.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Vulnerability detection and monitoring using llm

Reference 8

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Observation 6cc15320-c10c-425d-bcfe-50983093e07a · outbound

This paper cites Poster: An exploration of large language models in malicious source code detection.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Poster: An exploration of large language models in malicious source code detection

Reference 9

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Observation 82329028-8416-4ce2-b661-b287c3ea2938 · outbound

This paper cites Raas: Reasoning-aware attention sparsity for efficient LLM reasoning.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Raas: Reasoning-aware attention sparsity for efficient LLM reasoning

Reference 10

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Observation d4bf2f7e-5734-40c9-9d19-0e0f01b39776 · outbound

This paper cites Joty, and Steven C.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Joty, and Steven C

Reference 11

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Observation 7562281a-c305-4d34-966a-11db762219e5 · outbound

This paper cites Codegen: An open large language model for code with multi-turn program synthesis.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Codegen: An open large language model for code with multi-turn program synthesis

Reference 12

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Observation 82699ca1-6c5f-4d79-ba87-6af4d094d2e6 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Evaluating Large Language Models Trained on Code

Reference 13

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Observation e1299a6c-da49-444a-903b-cd7caf79b314 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Code Llama: Open Foundation Models for Code

Reference 14

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Observation dd28a355-8534-4660-b8b3-674199e3c7b4 · outbound

This paper cites Oss detect backdoor.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Oss detect backdoor

Reference 15

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Observation 89e49d66-cdb9-418d-9411-2d88460806a1 · outbound

This paper cites A Survey on Common Threats in npm and PyPi Registries.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models A Survey on Common Threats in npm and PyPi Registries

Reference 16

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Observation 54cc7b1a-c443-4c05-9a78-71e60b0d57e4 · outbound

This paper cites Yara, 2023.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Yara, 2023

Reference 17

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Observation c135bed6-0f5d-4f3c-8053-06d5ba1333c9 · outbound

This paper cites Bandit, 2023.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Bandit, 2023

Reference 18

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Observation ecad9ef3-2d18-47d0-b10a-4c7abf521757 · outbound

This paper cites Towards measuring supply chain attacks on package managers for interpreted languages.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Towards measuring supply chain attacks on package managers for interpreted languages

Reference 19

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Observation 10e922ec-bdc8-4407-86f6-079bf87667f8 · outbound

This paper cites an unresolved cited work.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 20

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Observation e1dc4ce3-85df-4870-9617-33d30f580667 · outbound

This paper cites Amddlmodel: Android smartphones malware detection using deep learning model.Plos one, 19(1):e0296722, 2024.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Amddlmodel: Android smartphones malware detection using deep learning model.Plos one, 19(1):e0296722, 2024

Reference 21

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Observation 2fd9a4d6-a7aa-46ff-932a-df9aad1fa15a · outbound

This paper cites Deepcatra: Learning flow- and graph-based behaviours for android malware detection.IET Inf.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Deepcatra: Learning flow- and graph-based behaviours for android malware detection.IET Inf

Reference 22

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Observation dc063c7a-e71b-4922-a1a2-a7052c92504a · outbound

This paper cites Iot-based android malware detection using graph neural network with adversarial defense.IEEE Internet Things J., 10(10):8432–8444, 2023.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Iot-based android malware detection using graph neural network with adversarial defense.IEEE Internet Things J., 10(10):8432–8444, 2023

Reference 23

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Observation 0d6c0bb7-1982-4a22-b2b4-85057d7450ff · outbound

This paper cites Android malware detection through generative adversarial networks.Trans.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Android malware detection through generative adversarial networks.Trans

Reference 24

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Observation 0a480fba-5623-4969-b610-5a645d41f317 · outbound

This paper cites Schorlemmer, Santiago Torres-Arias, and James C.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Schorlemmer, Santiago Torres-Arias, and James C

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Observation 4d440094-2d8c-4d25-bcc8-c6840309ce1f · outbound

This paper cites Decoding the secrets of machine learning in malware classification: A deep dive into datasets, feature extraction, and model performance.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Decoding the secrets of machine learning in malware classification: A deep dive into datasets, feature extraction, and model performance

Reference 26

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Observation 4b946f48-d508-4aa3-91e2-6dc58c9d976e · outbound

This paper cites A needle is an outlier in a haystack: Hunting malicious pypi packages with code clustering.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models A needle is an outlier in a haystack: Hunting malicious pypi packages with code clustering

Reference 27

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Observation 2331ca6c-5dff-406b-acec-a0788a08f403 · outbound

This paper cites 1+1>2: Integrating deep code behaviors with metadata features for malicious pypi package detection.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models 1+1>2: Integrating deep code behaviors with metadata features for malicious pypi package detection

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Observation f0dd07b6-1f28-4656-b26a-b73b74882be1 · outbound

This paper cites Dos and don’ts of machine learning in computer security.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Dos and don’ts of machine learning in computer security

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Observation c426132c-31aa-4c05-8997-56780b0434fc · outbound

This paper cites Bad snakes: Understanding and improving python package index malware scanning.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Bad snakes: Understanding and improving python package index malware scanning

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Observation f32e0195-d73d-46b2-99e4-3521d35f7505 · outbound

This paper cites Williams.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Williams

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Observation 4f986dfb-7543-4866-8672-e1276b9ab5bc · outbound

This paper cites Large language models for code analysis: Do LLMs really do their job? In33rd USENIX Security Symposium (USENIX Security 24), pages 829–846, Philadelphia, PA, August 2024.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Large language models for code analysis: Do LLMs really do their job? In33rd USENIX Security Symposium (USENIX Security 24), pages 829–846, Philadelphia, PA, August 2024

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Observation e0ff6802-e5f0-4f3a-8409-1c94aed7c6c0 · outbound

This paper cites Maltracker: A fine-grained npm malware tracker copiloted by llm-enhanced dataset.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Maltracker: A fine-grained npm malware tracker copiloted by llm-enhanced dataset

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Observation 91319bc7-7e50-4653-87a2-bee2bb017dd0 · outbound

This paper cites Leveraging large language models for behavior-based malware detection using deep learning.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Leveraging large language models for behavior-based malware detection using deep learning

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Observation cd7ef27d-703b-45ca-ae00-7a70a11ee9b0 · outbound

This paper cites Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches

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Observation 0af0790f-56db-4ae9-8157-cc65c514dbb3 · outbound

This paper cites Backstabber’s knife collection: A review of open source software supply chain attacks.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Backstabber’s knife collection: A review of open source software supply chain attacks

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Observation 2176a48c-f2fd-4e96-9cb7-f0a92555c2a2 · outbound

This paper cites Malicious software packages dataset, 2023.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Malicious software packages dataset, 2023

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Observation c5b5e97a-c4af-4058-bf43-470b9b9c56dd · outbound

This paper cites An empirical study of malicious code in pypi ecosystem.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models An empirical study of malicious code in pypi ecosystem

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Observation e8e196cc-fb77-4b46-a9ac-d8cf853364e7 · outbound

This paper cites Qwen2.5 Technical Report.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Qwen2.5 Technical Report

Reference 39

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Observation dd5a1b69-8934-4e44-93da-d5b7937fa7da · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 40

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Observation 190703be-3ae6-4926-9a7a-e43d5c071075 · outbound

This paper cites The Llama 3 Herd of Models.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models The Llama 3 Herd of Models

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This paper cites A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

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Observation 7fc3d495-c0e4-40f0-81d2-2741744ad9ae · outbound

This paper cites GPT-4o System Card.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models GPT-4o System Card

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Observation 91eb0c4a-50ae-42f6-9679-201156f07647 · outbound

This paper cites A fork of bandit tool with patterns to identifying malicious python code.Retrieved September, 25:2024, 2020.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models A fork of bandit tool with patterns to identifying malicious python code.Retrieved September, 25:2024, 2020

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Observation 9d32aa1b-65a4-47df-8772-0aff8184cea1 · outbound

This paper cites VirusTotal — Upload.https://www.virustotal.com/gui/home/upload/.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models VirusTotal — Upload.https://www.virustotal.com/gui/home/upload/

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Observation 7b7e4c03-8ba9-4651-a75b-ddb90c44b6dc · outbound

This paper cites Beyond typosquatting: An in-depth look at package confusion.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Beyond typosquatting: An in-depth look at package confusion

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Observation 8c418cf2-84eb-4b5f-be26-0322f031c96a · outbound

This paper cites Vaidya, Drew Davidson, Lorenzo De Carli, and Vaibhav Rastogi.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Vaidya, Drew Davidson, Lorenzo De Carli, and Vaibhav Rastogi

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Observation e8e0f12c-f031-4247-86de-c3c25c65b65c · outbound

This paper cites Typosquatting and combosquatting attacks on the python ecosystem.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Typosquatting and combosquatting attacks on the python ecosystem

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Observation f2255202-ea9b-4406-9db8-e52132c32481 · outbound

This paper cites OSS gadget, 2023.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models OSS gadget, 2023

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Observation abd790b4-ef49-417f-afa3-06d18c103fd6 · outbound

This paper cites OSSF, 2023.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models OSSF, 2023

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Observation 1f1e7924-d584-42ad-8c4c-a244ef1623a5 · outbound

This paper cites DONAPI: malicious NPM packages detector using behavior sequence knowledge mapping.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models DONAPI: malicious NPM packages detector using behavior sequence knowledge mapping

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Observation 2596feb8-3847-43b0-bde6-da33f3d2172b · outbound

This paper cites Malcertain: Enhancing deep neural network based android malware detection by tackling prediction uncertainty.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Malcertain: Enhancing deep neural network based android malware detection by tackling prediction uncertainty

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Observation fbda631f-bfa9-45c9-aada-d9c5eff801f3 · outbound

This paper cites Gobbi and Johannes Kinder.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Gobbi and Johannes Kinder

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Observation 27db1e4f-e833-4baa-b388-3376b19ceeb8 · outbound

This paper cites EaTVul: ChatGPT-based evasion attack against software vulnerability detection.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models EaTVul: ChatGPT-based evasion attack against software vulnerability detection

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Observation 43dd7bc4-2e3d-4086-998a-d5f819ef021d · outbound

This paper cites Code vulnerability detection based on augmented program dependency graph and optimized codebert.Scientific Reports, 15(1):39301, 2025.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Code vulnerability detection based on augmented program dependency graph and optimized codebert.Scientific Reports, 15(1):39301, 2025

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Observation 7e814d94-4fb0-4336-98f8-900dd581c71a · outbound

This paper cites Vulcobert: A codebert-based system for source code vulnerability detection.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Vulcobert: A codebert-based system for source code vulnerability detection

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Observation f5676eee-5f5b-42d6-af59-16363bb0640e · outbound

This paper cites Leveraging an enhanced codebert-based model for multiclass software defect prediction via defect classification.IEEE Access, 13:24383–24397, 2025.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Leveraging an enhanced codebert-based model for multiclass software defect prediction via defect classification.IEEE Access, 13:24383–24397, 2025

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Observation 9896ec5d-55cc-4379-8048-5f6107d2ac73 · outbound

This paper cites Vuld-codebert: Codebert-based vulnerability detection model for c/c++ code.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Vuld-codebert: Codebert-based vulnerability detection model for c/c++ code

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Observation ba4eb690-d733-460b-b0da-195c1cde2e45 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Codebert: A pre-trained model for programming and natural languages

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Observation 00884831-59ec-45e8-9993-fcc2858d6085 · outbound

This paper cites Python source code vulnerability detection based on codebert language model.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Python source code vulnerability detection based on codebert language model

Reference 60

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Observation fc77762e-c9cd-4e5a-add0-501e5c626b54 · outbound

This paper cites Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T09:44:55.959861Z

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Observation 4bcec652-f94f-47a8-9bca-699141401854 · outbound

This paper cites Open source vulnerability database.https://security.snyk.io/vuln, 2024.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Open source vulnerability database.https://security.snyk.io/vuln, 2024

Reference 62

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Observation 64f3a9cb-60e6-44fb-b735-5d55cc0d046e · outbound

This paper cites Mitre att&ck: Design and philosophy.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Mitre att&ck: Design and philosophy

Reference 63

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Observation 0467ac3c-4a94-4416-a313-f85334bfc711 · outbound

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Reference 64

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Observation fd72fda9-5839-4bfc-8c9b-dd2c12699c00 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models could be malicious

Reference 65

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This paper cites →4: Shows a mostly coherent flow but omits minor steps or data dependencies.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models →4: Shows a mostly coherent flow but omits minor steps or data dependencies

Reference 66

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Observation a98ddcc1-1610-4995-b90e-f97af3446dd3 · outbound

This paper cites →4: Most claims are evidence-backed; minor inferences are reasonable.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models →4: Most claims are evidence-backed; minor inferences are reasonable

Reference 67

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Observation 724be931-0d33-4abc-b02e-843340bff5a2 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models quality_scores

Reference 68

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Observation 92b85a61-7a7d-4c3a-9cc5-8e919b7bd16f · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 69

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Observation bb56bc9c-a464-4a3c-afa9-cfa46bc0675c · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 70

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Observation 445abf26-7284-40a9-bbb2-7167c2508208 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Small/Medium/Large

Reference 71

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 72

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Observation 91af633b-199b-4c85-98b0-0c1c8b4f5799 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 73

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 74

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Observation de87af09-2527-45fe-a65a-48cd6f28f38b · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 75

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 76

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Observation d433c34c-edd3-4a04-98c9-b425729aa28c · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 77

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Observation 6ddd871a-c57d-43ff-b2e8-ad386cc8bfa7 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 78

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models , “mitigation

Reference 79

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Observation f6241490-3a77-4a56-b73f-80ae84c64dd9 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 80

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 81

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Observation e0de5f2d-4037-45ac-ba91-693d822e297a · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 82

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Observation f2dd7933-6353-4cd1-bd63-796f82496304 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 83

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Observation 57a1919f-2d17-4d47-802c-c8feca5a8965 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 84

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 85

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Observation 8062f7c2-4074-452b-bb36-89aa70d5076f · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 86

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Reference 87

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Reference 88

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Observation e2351f73-ece1-4633-a128-152f904b3df6 · outbound

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Reference 89

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Observation 55be607f-8947-4325-b478-770ebeaec9cc · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 90

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Observation d908499e-37e4-44c0-88ae-5065b1d58145 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 91

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Observation a1e4e3e1-67ea-43ed-bd2b-b98dc162d06a · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 92

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Observation 5d77842c-9dd2-42bd-8a74-58f789ae03c9 · outbound

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Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-03T09:44:58.373689Z

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Observation 45323ede-77bc-4113-bf96-f4f5553e477b · outbound

This paper cites an unresolved cited work.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 94

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Observation 34cd013a-ce08-4b06-98a4-cf18559ad52c · outbound

This paper cites an unresolved cited work.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 95

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Observation 89863d2d-ad16-4a4a-a434-c2f197661cd7 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models - Use of ‘os.system’ and ‘winreg.QueryValueEx’ could be employed for modifying the system environment or registry keys to establish persistence

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-03T09:44:58.631159Z

Source-reported events for the cited work

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Observation 44a5d315-f850-4514-a47e-189fc4017704 · outbound

This paper cites an unresolved cited work.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 97

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Observation 230ecfac-2454-4e53-b9be-d6c99d1c2865 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 98

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Observation 5a5914e1-0e41-4098-aa16-87f6fda8a3f8 · outbound

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Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models , “mitigation

Reference 99

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Observation 71a433a4-bfdd-40bc-84ca-4bedbf60f665 · outbound

This paper cites an unresolved cited work.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models Unresolved cited work

Reference 100

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Coverage vector

Reference resolution

Outbound references

Pith citing papers