Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:50:24.812215Z
Paper Citation Record · LEDGER
Automatically Generating Rules of Malicious Software Packages via Large Language Model
As of 19 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2504.17198.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:40:02.254376Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:40:07.249512Z
Reference resolution
70 of 70 outbound references displayed
- verified exact0
- verified fuzzy35
- unresolved34
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4b73d236-098f-4f5d-90c3-68aa57721f10 · outbound
This paper cites (2021) State of the software supply chain.
Automatically Generating Rules of Malicious Software Packages via Large Language Model (2021) State of the software supply chain
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:26.080943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5867cec2-76b5-426c-9118-1011deea81ff · outbound
This paper cites (2021) Open source developer corrupts widely-used libraries, affecting tons of projects.
Automatically Generating Rules of Malicious Software Packages via Large Language Model (2021) Open source developer corrupts widely-used libraries, affecting tons of projects
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:26.066201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 576cce07-6c49-46dd-8ab9-eb389f9b773b · outbound
This paper cites Preliminary findings on foss dependencies and security,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Preliminary findings on foss dependencies and security,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:26.051843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 393658c6-d5c2-4a6a-a54e-917148e67d34 · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:26.037008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ea02f433-8bf2-4d1c-bd37-ba6b53dff4a7 · outbound
This paper cites (2019) SemGrep rules for the security static analysis.
Automatically Generating Rules of Malicious Software Packages via Large Language Model (2019) SemGrep rules for the security static analysis
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:26.021912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 279e9e79-875f-4549-9839-00e7f05b4f8e · outbound
This paper cites Evaluating automatically generated yara rules and enhancing their effec- tiveness,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Evaluating automatically generated yara rules and enhancing their effec- tiveness,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:26.005903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 00b91f7d-a4a6-45ea-a3ba-e390a4bdaf30 · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.990333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1f1f4260-7c66-40f1-89ca-549ce356a766 · outbound
This paper cites Examining zero-shot vulnerability repair with large language models,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Examining zero-shot vulnerability repair with large language models,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.975988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9a5d50c3-ae46-4cd6-8fdb-f9d783f32f4b · outbound
This paper cites ReposVul: A Repository-Level High-Quality Vulnerability Dataset.
Automatically Generating Rules of Malicious Software Packages via Large Language Model ReposVul: A Repository-Level High-Quality Vulnerability Dataset
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.523473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 752edb0c-6e4a-4596-b24d-d9e0750ab7ee · outbound
This paper cites The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models.
Automatically Generating Rules of Malicious Software Packages via Large Language Model The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.531868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ae8c09d-1bc2-4b9b-ac83-42a95c60f74d · outbound
This paper cites How Far Have We Gone in Binary Code Understanding Using Large Language Models.
Automatically Generating Rules of Malicious Software Packages via Large Language Model How Far Have We Gone in Binary Code Understanding Using Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.537490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27fa711c-008e-4dfd-add1-5f846d0f7908 · outbound
This paper cites Pop Quiz! Can a Large Language Model Help With Reverse Engineering?.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.542191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2f159e8-b65c-4b42-84a5-67e33eee4a61 · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.960710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d488a7f7-765d-47f6-bcd7-7fdf08d8c004 · outbound
This paper cites van Kemenade.
Automatically Generating Rules of Malicious Software Packages via Large Language Model van Kemenade
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.946158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 22d07019-2490-49dc-9aa2-d086d816f62f · outbound
This paper cites Malware detection rule generator.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Malware detection rule generator
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.932108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e2fc0b50-f24f-43d6-b3cf-5cfc00973004 · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.918055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 93cdd37e-b782-4670-b75d-3271a0691339 · outbound
This paper cites (2023) OpenAI Codex: AI system that translates natural language to code.
Automatically Generating Rules of Malicious Software Packages via Large Language Model (2023) OpenAI Codex: AI system that translates natural language to code
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.903887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0c14a186-f74a-4d58-b1f7-83b4f7bcbc70 · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.889123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9e6771b8-f13e-4899-aa6d-e348c2ecd6bd · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.874141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7ab0fd08-0cbf-4819-a407-5cc314b855f1 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Chain-of-thought prompting elicits reasoning in large language models,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.859891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f4f7c869-5456-4a70-a4e3-7f67da6e5221 · outbound
This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.583029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90a64399-0442-47f5-b0c6-0241dea351d0 · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Reflexion: Language agents with verbal reinforcement learning,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.845412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ee38643e-f9ed-4dd6-8425-bf363f386b1e · outbound
This paper cites Chain of Hindsight Aligns Language Models with Feedback.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Chain of Hindsight Aligns Language Models with Feedback
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.592291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ba4fb1e-b0c1-4e58-b3f9-a4bf28dceb0b · outbound
This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
Automatically Generating Rules of Malicious Software Packages via Large Language Model CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.597285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78ed6ee5-35f3-45e1-b272-1268ee570917 · outbound
This paper cites (2009) numpy: Randomly permute a sequence.
Automatically Generating Rules of Malicious Software Packages via Large Language Model (2009) numpy: Randomly permute a sequence
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.830285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9b13fc2e-f19c-42ce-9649-a3d3b114c978 · outbound
This paper cites (2007) Machine learning library for the python language.
Automatically Generating Rules of Malicious Software Packages via Large Language Model (2007) Machine learning library for the python language
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.814779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eba79f17-07cd-41e3-8ea0-96002941277a · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.800566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 469c7ec0-4f40-45b3-89f6-2d1ee8c81e0d · outbound
This paper cites (2001) A suite of libraries and programs for symbolic and statistical natural language processing.
Automatically Generating Rules of Malicious Software Packages via Large Language Model (2001) A suite of libraries and programs for symbolic and statistical natural language processing
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.785205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3ac1c48b-e158-4976-a289-6205fb3d77ee · outbound
This paper cites (2023) LangChain, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications.
Automatically Generating Rules of Malicious Software Packages via Large Language Model (2023) LangChain, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.770688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ca4832a9-7cd0-48ca-ab62-852fa5878a5a · outbound
This paper cites Automatic yara rule generation using biclustering,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Automatic yara rule generation using biclustering,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.754718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 30064926-fdb4-4c89-a46f-1e54b5451379 · outbound
This paper cites {Y ARIX}: Scalable {Y ARA- based} malware intelligence,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model {Y ARIX}: Scalable {Y ARA- based} malware intelligence,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.739578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b17ecdbd-cc00-4915-aa7a-7e3a01cd2700 · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.723668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8174c421-6e0b-461d-842e-6c0fe10ad427 · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.708234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 260958d5-d2fb-4622-b8eb-8953063b6b3e · outbound
This paper cites Benchmark Data Contamination of Large Language Models: A Survey.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Benchmark Data Contamination of Large Language Models: A Survey
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.643621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfd0a7d3-a11c-401b-a1a8-9fa7a9135f46 · outbound
This paper cites Detecting Pretraining Data from Large Language Models.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Detecting Pretraining Data from Large Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.648035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8768776e-a42d-4efc-b37d-eb3da9b5f133 · outbound
This paper cites An empirical comparison of developer retention in the rubygems and npm software ecosystems,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model An empirical comparison of developer retention in the rubygems and npm software ecosystems,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.693319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6514fcdd-6e75-48b2-8e9f-8de7e4948863 · outbound
This paper cites Constructing supply chains in open source software,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Constructing supply chains in open source software,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.678605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4df85013-4221-468c-b6cf-6733bf9280f2 · outbound
This paper cites World of code: an infrastructure for mining the universe of open source vcs data,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model World of code: an infrastructure for mining the universe of open source vcs data,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.663415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cbb05a86-0164-4caa-b712-aa3bc73ed442 · outbound
This paper cites Challenges in software ecosystems research,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Challenges in software ecosystems research,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.647793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 00e5c033-0769-481d-bb5a-326fa3fc324a · outbound
This paper cites Small world with high risks: A study of security threats in the npm ecosystem,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Small world with high risks: A study of security threats in the npm ecosystem,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.631527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b05d4051-4b04-4dc1-8063-1e41a6734db4 · outbound
This paper cites What are Weak Links in the npm Supply Chain?.
Automatically Generating Rules of Malicious Software Packages via Large Language Model What are Weak Links in the npm Supply Chain?
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.675392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40fa26df-547b-47d8-962e-a793c73e9119 · outbound
This paper cites A qualitative study of dependency management and its security implications,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model A qualitative study of dependency management and its security implications,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.614967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0410a7c8-5df3-4781-b906-53b9388e507b · outbound
This paper cites Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.684985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a318ef50-8ab1-4f73-87c7-fddfdfdf55d4 · outbound
This paper cites An empirical study of malicious code in pypi ecosystem,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model An empirical study of malicious code in pypi ecosystem,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.598098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 15f8bf8a-d730-436e-808c-14f0ccb814d8 · outbound
This paper cites Backstabber’s knife collection: A review of open source software supply chain attacks,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Backstabber’s knife collection: A review of open source software supply chain attacks,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.582122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 47754439-4594-4515-86ce-1adff3b99e93 · outbound
This paper cites Wolf at the door: Preventing install-time attacks in npm with latch,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Wolf at the door: Preventing install-time attacks in npm with latch,
Reference 47
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-16T10:50:25.168519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7f23d843-b541-4907-ab24-e881c068d92c · outbound
This paper cites Towards the detection of malicious java packages,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Towards the detection of malicious java packages,
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.703478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da94588a-30c1-4d1f-be90-0f4933fe74dd · outbound
This paper cites Identification of dependency-based attacks on node. js,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Identification of dependency-based attacks on node. js,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.564573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 400e9dac-fe06-438e-b6c6-9021cf5c7ecc · outbound
This paper cites Understanding and automatically preventing injection attacks on node. js,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Understanding and automatically preventing injection attacks on node. js,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.548670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 48ba3eff-d709-48aa-a4af-914bfe17517f · outbound
This paper cites Sok: Taxon- omy of attacks on open-source software supply chains,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Sok: Taxon- omy of attacks on open-source software supply chains,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.532796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e14e6853-5d3a-4367-9c6b-577b997755a0 · outbound
This paper cites On the impact of security vulnerabilities in the npm package dependency network,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model On the impact of security vulnerabilities in the npm package dependency network,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.516458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 44e147ca-5736-48ff-852e-93713ae1c097 · outbound
This paper cites On the evolution of technical lag in the npm package dependency network,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model On the evolution of technical lag in the npm package dependency network,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.499569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b0913dcc-8757-4bbe-bddc-8366e9d2a019 · outbound
This paper cites Empirical analysis of security vulnerabilities in python packages,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Empirical analysis of security vulnerabilities in python packages,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.483720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 231eb4bf-154d-4b9a-bb17-ccd893a6b990 · outbound
This paper cites Beyond metadata: Code- centric and usage-based analysis of known vulnerabilities in open-source software,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Beyond metadata: Code- centric and usage-based analysis of known vulnerabilities in open-source software,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.467035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2bdc6e2e-f157-4336-b0ff-20d57a8f2c14 · outbound
This paper cites {V0Finder}: Discovering the correct origin of publicly reported software vulnerabilities,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model {V0Finder}: Discovering the correct origin of publicly reported software vulnerabilities,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.450462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f38c4faf-4194-4391-9e83-70c3586fc80c · outbound
This paper cites Security Issues in Language-based Software Ecosystems.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Security Issues in Language-based Software Ecosystems
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.745302Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57123257-9f52-4c0d-9ea8-71b18bba347d · outbound
This paper cites Abusing hidden properties to attack the node. js ecosystem,.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Abusing hidden properties to attack the node. js ecosystem,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.433455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f62c5cf4-49b0-47ef-8f0b-6b8ca6d2827a · outbound
This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.
Automatically Generating Rules of Malicious Software Packages via Large Language Model ReAct: Synergizing Reasoning and Acting in Language Models
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.754579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0886b79c-7b8d-4e4e-b528-a31b006e2dfb · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.759285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7dfaf89-6ad1-4b83-9aeb-91411b324abe · outbound
This paper cites Large Language Models Can Self-Improve.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Large Language Models Can Self-Improve
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.763972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a43abafe-fbad-492c-9293-b034db9f5b65 · outbound
This paper cites an unresolved cited work.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:50:25.416883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0f66d98b-4673-4a43-8602-a4cdf7ee82ea · outbound
This paper cites Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.773156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7494ee03-b449-4b46-83d3-7f7262a818a2 · outbound
This paper cites Automatic Code Summarization via ChatGPT: How Far Are We?.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Automatic Code Summarization via ChatGPT: How Far Are We?
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.777734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dc7b22d-efc0-4f38-bc8d-660673892742 · outbound
This paper cites Can large language models reason about program invariants?.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Can large language models reason about program invariants?
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:50:25.399798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 978f3fb9-5a66-4c07-82c6-e8c041b5969b · outbound
This paper cites Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.786993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b2604ef-5b1a-41f0-bb3e-8489e7f7e95e · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Evaluating Large Language Models Trained on Code
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.791958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84b62233-1cd9-4ebb-9c3d-5ac2d4e0e6b0 · outbound
This paper cites Large Language Models for Software Engineering: Survey and Open Problems.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Large Language Models for Software Engineering: Survey and Open Problems
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.796795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf035be4-03af-42bf-a0d1-80d4eb1a449d · outbound
This paper cites Teaching Large Language Models to Self-Debug.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Teaching Large Language Models to Self-Debug
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.801752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4887733e-19e5-480c-a0a7-0c63c7da7da9 · outbound
This paper cites LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks.
Automatically Generating Rules of Malicious Software Packages via Large Language Model LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.807578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdfdd294-2a67-4091-857f-9a87d9b04694 · outbound
This paper cites Prompting Is All You Need: Automated Android Bug Replay with Large Language Models.
Automatically Generating Rules of Malicious Software Packages via Large Language Model Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:50:24.812215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation b4d73b09-3653-4bfe-8707-cf00ca6f0e25 · inbound
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap Automatically Generating Rules of Malicious Software Packages via Large Language Model
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:40:07.316712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.