Paper Citation Record · LEDGER

An Evaluation of Large Language Models for Detection of Malicious Python Packages

As of 22 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2602.16304.

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

pith.paper-citation-record.v1
2602.16304 v3

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:38:54.055821Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T11:19:26.423530Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:41:08.497192Z

Reference resolution

63 of 63 outbound references displayed

verified exact0
verified fuzzy0
unresolved62
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d297440d-d06a-481a-9d1a-09ad8e76657f · outbound

This paper cites Alert: Malicious pypi package soopsocks infects 2,653 systems before takedown,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Alert: Malicious pypi package soopsocks infects 2,653 systems before takedown,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:48.043628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17a7c842-1484-4c3c-a736-e5be84f6369f · outbound

This paper cites Pypi stats: Python package index download statistics,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Pypi stats: Python package index download statistics,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:48.129941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593875d8-de27-4c54-9ff9-10ffa252ed23 · outbound

This paper cites Qut-dv25: A dataset for dynamic analysis of next-gen software supply chain attacks,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Qut-dv25: A dataset for dynamic analysis of next-gen software supply chain attacks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:48.396099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5587b6aa-0330-422b-9ad3-b7a0929d68e8 · outbound

This paper cites A Benchmark Comparison of Python Malware Detection Approaches.

An Evaluation of Large Language Models for Detection of Malicious Python Packages A Benchmark Comparison of Python Malware Detection Approaches

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:48.638375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31216cf-5c9c-45eb-b1dd-aad0edc5cb76 · outbound

This paper cites Backstab- ber’s knife collection: A review of open source software supply chain attacks,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Backstab- ber’s knife collection: A review of open source software supply chain attacks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:48.836134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6cb91c-526d-48d6-a071-37c79fe42d73 · outbound

This paper cites Malwarebench: Malware samples are not enough,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Malwarebench: Malware samples are not enough,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.066626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5df4b54b-e6ff-424e-a94f-021d5cec33a4 · outbound

This paper cites The hitchhiker’s guide to malicious third- party dependencies,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages The hitchhiker’s guide to malicious third- party dependencies,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.246089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9910fa4c-0366-44c5-b6c0-e97d9edcf177 · outbound

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

An Evaluation of Large Language Models for Detection of Malicious Python Packages Bad snakes: Understanding and improving python package index malware scanning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.413432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdba4c66-0aa6-4a2c-9b37-c2f249093395 · outbound

This paper cites Unveiling malicious logic: Towards a statement-level taxonomy and dataset for securing python packages,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Unveiling malicious logic: Towards a statement-level taxonomy and dataset for securing python packages,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.574240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 986e0272-61cf-45d6-82db-49125409e90f · outbound

This paper cites Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.663198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdacc904-5690-4cc4-a87e-86ddefcf74bf · outbound

This paper cites A Large-scale Fine-grained Analysis of Packages in Open-Source Software Ecosystems.

An Evaluation of Large Language Models for Detection of Malicious Python Packages A Large-scale Fine-grained Analysis of Packages in Open-Source Software Ecosystems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.725590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae0fa47-2eba-4a20-8c68-f42050de74bd · outbound

This paper cites An empirical study of malicious code in pypi ecosys- tem,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages An empirical study of malicious code in pypi ecosys- tem,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.772950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 396357ec-86ac-4d1b-b65d-2f1f61eabf7a · outbound

This paper cites Malicious package detection using metadata information,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Malicious package detection using metadata information,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.815938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cef536c-8a78-4f0b-9da9-ec382ca85983 · outbound

This paper cites Pypimaldet: A malicious pypi package detection method combining code features and metadata features,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Pypimaldet: A malicious pypi package detection method combining code features and metadata features,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.818985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 257a02ac-3e8d-47a3-b2f7-6ac170a1c995 · outbound

This paper cites A machine learning-based approach for detect- ing malicious pypi packages,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages A machine learning-based approach for detect- ing malicious pypi packages,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.822125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68596c79-2065-4d7c-b87e-c288bcbea483 · outbound

This paper cites On the feasibility of cross-language detec- tion of malicious packages in npm and pypi,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages On the feasibility of cross-language detec- tion of malicious packages in npm and pypi,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.847611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b1467a-f1ad-4848-9e7f-bc80aef431d6 · outbound

This paper cites Detecting malicious packages in pypi and npm by clus- tering installation scripts,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Detecting malicious packages in pypi and npm by clus- tering installation scripts,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:49.958843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7be860e-d20d-4b99-ba16-9c04d68c561f · outbound

This paper cites A needle is an outlier in a haystack: hunting malicious pypi pack- ages with code clustering,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages A needle is an outlier in a haystack: hunting malicious pypi pack- ages with code clustering,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:50.118981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2f1e75-85b8-407c-ad49-ceeea60a4bd2 · outbound

This paper cites Ma- licious packages lurking in user-friendly python package index,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Ma- licious packages lurking in user-friendly python package index,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:50.245288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d79e7dce-8ffa-471c-b7fb-25c7403e1cde · outbound

This paper cites Detecting python malware in the software supply chain with program analysis,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Detecting python malware in the software supply chain with program analysis,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:50.361260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fea77f0-61b2-4a65-9e22-6c87684ba3d8 · outbound

This paper cites Lastpymile: identifying the discrepancy between sources and packages,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Lastpymile: identifying the discrepancy between sources and packages,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:50.455140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2331e590-01c8-4646-9a5e-fe3ff1c8503b · outbound

This paper cites Differential static analysis for detecting malicious updates to open source packages,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Differential static analysis for detecting malicious updates to open source packages,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:50.601582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 238ff456-afa1-441c-91d7-c0840f8abf50 · outbound

This paper cites On the feasibility of detecting injections in malicious npm packages,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages On the feasibility of detecting injections in malicious npm packages,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:50.767634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a15e1e2-815f-4e3a-a7d1-d66b1f9e3ab1 · outbound

This paper cites Maltracker: A fine- grained npm malware tracker copiloted by llm-enhanced 15 dataset,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Maltracker: A fine- grained npm malware tracker copiloted by llm-enhanced 15 dataset,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:50.893726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c8b065-c806-4f0a-babb-97b3d0fd0a02 · outbound

This paper cites Malpacdetector: An llm-based malicious npm package detector,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Malpacdetector: An llm-based malicious npm package detector,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.027986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3065b7f-0993-46b9-a38b-69506276223d · outbound

This paper cites Malwukong: Towards fast, accurate, and mul- tilingual detection of malicious code poisoning in oss supply chains,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Malwukong: Towards fast, accurate, and mul- tilingual detection of malicious code poisoning in oss supply chains,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.147686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eba0616-8518-4b58-86f6-b60ea9615e80 · outbound

This paper cites Towards the detection of malicious java pack- ages,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Towards the detection of malicious java pack- ages,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.269368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9006ad7-ef71-452f-9352-68553288ac6f · outbound

This paper cites Profmal: Detecting mali- cious npm packages by the synergy between static and dynamic analysis,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Profmal: Detecting mali- cious npm packages by the synergy between static and dynamic analysis,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.414264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e851433-4093-42f3-87f1-77458a274f02 · outbound

This paper cites JavaSith: A Client-Side Framework for Analyzing Potentially Malicious Extensions in Browsers, VS Code, and NPM Packages.

An Evaluation of Large Language Models for Detection of Malicious Python Packages JavaSith: A Client-Side Framework for Analyzing Potentially Malicious Extensions in Browsers, VS Code, and NPM Packages

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.580104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d35a7a1-a978-422a-857a-c2505bbcbae3 · outbound

This paper cites Killing two birds with one stone: Malicious package detection in npm and pypi using a single model of malicious behavior sequence,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Killing two birds with one stone: Malicious package detection in npm and pypi using a single model of malicious behavior sequence,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.690897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe3b2423-06a6-4836-bbf4-674d2c699d84 · outbound

This paper cites An anal- ysis of malicious behaviors of open-source packages using dynamic analysis,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages An anal- ysis of malicious behaviors of open-source packages using dynamic analysis,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.793563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c657346e-2d61-489d-91be-94569fffd19e · outbound

This paper cites Donapi: Malicious npm packages detector using behavior sequence knowledge mapping,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Donapi: Malicious npm packages detector using behavior sequence knowledge mapping,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.861466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc5c8fed-97fa-4f9d-af88-299822cf9d1a · outbound

This paper cites Dysec: a machine learning-based dynamic analysis for detecting malicious packages in pypi ecosystem,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Dysec: a machine learning-based dynamic analysis for detecting malicious packages in pypi ecosystem,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:51.960630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128ca156-aacb-49d5-9cb5-b5d1a8955832 · outbound

This paper cites Operational Runtime Behavior Mining for Open-Source Supply Chain Security.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Operational Runtime Behavior Mining for Open-Source Supply Chain Security

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.063741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e55ffd-9d6d-4215-98e5-4ca52c4f9087 · outbound

This paper cites Detection of malicious software by analyzing the behavioral artifacts using machine learning algorithms,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Detection of malicious software by analyzing the behavioral artifacts using machine learning algorithms,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.132905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df12d840-fd79-4156-8dd8-683ee1ff0bd3 · outbound

This paper cites Practical automated detection of malicious npm packages,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Practical automated detection of malicious npm packages,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.212313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83a687a7-ecd3-4628-b0a7-30524ad8aedb · outbound

This paper cites Pypiguard: A novel meta-learning ap- proach for enhanced malicious package detection in pypi through static-dynamic feature fusion,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Pypiguard: A novel meta-learning ap- proach for enhanced malicious package detection in pypi through static-dynamic feature fusion,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.292173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73fbb0f2-1888-4326-9d4a-7fefaf0f085c · outbound

This paper cites Detecting malicious source code in pypi packages with llms: Does rag come in handy,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Detecting malicious source code in pypi packages with llms: Does rag come in handy,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.347791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac3116c-2c2f-4457-ae2e-a45521888c66 · outbound

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

An Evaluation of Large Language Models for Detection of Malicious Python Packages 1+ 1> 2: Integrating deep code behaviors with metadata fea- tures for malicious pypi package detection,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.411399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2284d011-57a0-4c66-b0ca-3682e71358dc · outbound

This paper cites MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem.

An Evaluation of Large Language Models for Detection of Malicious Python Packages MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.471378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a1d4d3f-c2b3-4db2-b249-a80a2a92f0af · outbound

This paper cites Spiderscan: Practical detection of malicious npm packages based on graph- based behavior modeling and matching,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Spiderscan: Practical detection of malicious npm packages based on graph- based behavior modeling and matching,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.559283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbdb8969-d5b2-4f81-91ff-f4b413205b01 · outbound

This paper cites Taint-based code slicing for llms-based malicious npm package detection,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Taint-based code slicing for llms-based malicious npm package detection,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.617048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 639548ab-6468-45db-a343-5abffe8dc9c0 · outbound

This paper cites Chase: Llm agents for dissecting malicious pypi packages,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Chase: Llm agents for dissecting malicious pypi packages,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.708244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0edfb5-e26b-4e31-9a9a-4df1cb202de9 · outbound

This paper cites Malaware: Au- tomating the comprehension of malicious software be- haviours using large language models (llms),.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Malaware: Au- tomating the comprehension of malicious software be- haviours using large language models (llms),

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.773715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13ef5258-25d6-460b-b5fe-560c119a193c · outbound

This paper cites Automatically generating rules of malicious software packages via large language model,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Automatically generating rules of malicious software packages via large language model,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.863329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a689015-96c8-4529-8bc7-e6b8a87c7b0f · outbound

This paper cites Eval- uating llm-based detection of malicious package updates in npm,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Eval- uating llm-based detection of malicious package updates in npm,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.928724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87be4123-7fa7-41b1-8731-1978f9333633 · outbound

This paper cites Rethinking the evaluation of secure code generation,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Rethinking the evaluation of secure code generation,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:52.981227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3523be-e68e-4c24-aaa1-3c5d0cfbd8cf · outbound

This paper cites From llms to agents: A comparative evaluation of llms and llm-based agents in security patch detection,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages From llms to agents: A comparative evaluation of llms and llm-based agents in security patch detection,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.040458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d041d66-b08c-4498-b295-fe0908c3ed6f · outbound

This paper cites Llms cannot reliably identify and reason about security vulnerabilities (yet?): A comprehensive evaluation, framework, and benchmarks,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Llms cannot reliably identify and reason about security vulnerabilities (yet?): A comprehensive evaluation, framework, and benchmarks,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.100089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13135dfd-cc09-49f7-a831-68e68b6cbe68 · outbound

This paper cites From large to mammoth: A comparative evaluation of large language models in vul- nerability detection,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages From large to mammoth: A comparative evaluation of large language models in vul- nerability detection,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.154990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0b56cfe-a831-4feb-8ded-3ff164e4f39e · outbound

This paper cites Understanding the effectiveness of large language models in detecting security vulnerabilities,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Understanding the effectiveness of large language models in detecting security vulnerabilities,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.217906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff3fe9b-fccd-4736-953e-e58548aae8ec · outbound

This paper cites Detecting code vulnerabili- ties using llms,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Detecting code vulnerabili- ties using llms,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.275757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4627db-0913-4c91-9ca0-e652cc58afd5 · outbound

This paper cites Sec-bench: Automated benchmarking of llm agents on real-world software security tasks,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Sec-bench: Automated benchmarking of llm agents on real-world software security tasks,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.334675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a0c4f3-3213-4cf8-803d-04d1c6f6ab1f · outbound

This paper cites Benchmarking llms and llm-based agents in practical vulnerability detection for code repositories,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Benchmarking llms and llm-based agents in practical vulnerability detection for code repositories,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.401062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b15de59-3f80-41f0-863c-3155f5e2875c · outbound

This paper cites Can llms replace human evaluators? an em- pirical study of llm-as-a-judge in software engineering,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Can llms replace human evaluators? an em- pirical study of llm-as-a-judge in software engineering,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.493335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecab1a7b-470f-411e-b30d-1ca75ea37e62 · outbound

This paper cites How well does llm generate security tests?,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages How well does llm generate security tests?,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.562036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcdb8174-1fe0-487a-8e1a-f27a3c605442 · outbound

This paper cites Comparing Human and LLM Generated Code: The Jury is Still Out!.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Comparing Human and LLM Generated Code: The Jury is Still Out!

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.647574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666f8085-1fac-4db4-80d8-ce80341028b7 · outbound

This paper cites Malware detection at the edge with lightweight llms: A performance evaluation,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Malware detection at the edge with lightweight llms: A performance evaluation,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.733674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf55b674-ac21-4832-8f42-4e41eb40ca1f · outbound

This paper cites Low-quality training data only? a robust framework for detecting encrypted malicious network traffic,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Low-quality training data only? a robust framework for detecting encrypted malicious network traffic,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.796416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d39fbe7-0f83-4d2f-bd4a-38134bc576e2 · outbound

This paper cites Machine learning models and dimen- sionality reduction for improving the android malware detection,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Machine learning models and dimen- sionality reduction for improving the android malware detection,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.877027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b600f335-9ea2-451f-a9f0-3529616d2c47 · outbound

This paper cites Metacognitive prompting improves understanding in large language models,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Metacognitive prompting improves understanding in large language models,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:53.972608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22cd8b32-2454-4037-a215-d91d1b987691 · outbound

This paper cites A survey on large lan- guage model reasoning failures,.

An Evaluation of Large Language Models for Detection of Malicious Python Packages A survey on large lan- guage model reasoning failures,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T22:38:54.055821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78b6fce-919e-4a30-be56-fb23c85d8de5 · outbound

This paper cites an unresolved cited work.

An Evaluation of Large Language Models for Detection of Malicious Python Packages Unresolved cited work

Reference 2024

Resolution: parse uncertain; no resolver link, observed 2026-08-02T22:38:48.264683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 139db55c-3092-40a8-aef5-9ef216f2774d · inbound

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification cites this paper.

From Natural Language to Verified Code: Toward AI Assisted Problem-to-Code Generation with Dafny-Based Formal Verification An Evaluation of Large Language Models for Detection of Malicious Python Packages

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-15T01:20:55.820323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.