Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:28:00.185265Z
Paper Citation Record · LEDGER
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware
As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2501.04848.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:17.631493Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T15:56:17.995005Z
Reference resolution
18 of 18 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7d723be8-1342-4262-b828-9da31df19fd2 · outbound
This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:28:00.101477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c904f217-679a-47c9-a71b-da20bd5adf9e · outbound
This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware GraphCodeBERT: Pre-training Code Representations with Data Flow
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:28:00.107042Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 104a7e69-efb8-47a6-8417-ad53133fe7a2 · outbound
This paper cites Unified Pre-training for Program Understanding and Generation.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Unified Pre-training for Program Understanding and Generation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:28:00.112120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66a69958-1eed-4d2a-ab82-ff92ea5f8059 · outbound
This paper cites Language models are few-shot learners,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Language models are few-shot learners,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.491704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 09379195-77dd-455c-a72a-f902e907507c · outbound
This paper cites An analysis of the automatic bug fixing performance of chatgpt,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware An analysis of the automatic bug fixing performance of chatgpt,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.476213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation efb70889-e94e-44a2-93e7-9591102a8ef0 · outbound
This paper cites The potential use of chatgpt for debugging and bug fixing,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware The potential use of chatgpt for debugging and bug fixing,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.461193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 517d122c-b825-42de-869e-9e2b5ce472c9 · outbound
This paper cites An evaluation of the effectiveness of openai’s chatgpt for automated python program bug fixing using quixbugs,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware An evaluation of the effectiveness of openai’s chatgpt for automated python program bug fixing using quixbugs,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.446765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d9b95521-8d84-4cbe-ad47-d1065073cc0a · outbound
This paper cites A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:28:00.138198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 130f315a-3330-42d7-b3d2-c561576ad28f · outbound
This paper cites Refining chatgpt-generated code: Charac- terizing and mitigating code quality issues,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Refining chatgpt-generated code: Charac- terizing and mitigating code quality issues,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.432241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dc21a454-f4ab-401e-8bc0-d4ed51e420ff · outbound
This paper cites Leveraging Large Language Models to Detect npm Malicious Packages.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Leveraging Large Language Models to Detect npm Malicious Packages
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:28:00.148093Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 500df476-41d5-4f9e-9948-3959de06231b · outbound
This paper cites Malware analysis and detection using reverse engineering technique,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Malware analysis and detection using reverse engineering technique,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.417159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1e1b317c-51e8-4ca6-a2cb-dcf3f609084c · outbound
This paper cites dex2jar,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware dex2jar,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.403079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 379003c1-0e6e-404b-b9fe-2dbea7b59c7b · outbound
This paper cites Cfr decompiler,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Cfr decompiler,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.387334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 637737fc-b4a5-4152-969a-d4452c271d57 · outbound
This paper cites Summit: Iterative text summarization via chatGPT,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Summit: Iterative text summarization via chatGPT,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.369781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cea401e5-ebd0-46b5-a0b0-6882744c5049 · outbound
This paper cites Element-aware summarization with large language models: Expert-aligned evaluation and chain- of-thought method,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Element-aware summarization with large language models: Expert-aligned evaluation and chain- of-thought method,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.352777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b3f6fbc8-b100-47fd-ae6e-99f842e96959 · outbound
This paper cites Langchain,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Langchain,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.335799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation efb617cb-b6cd-4436-b410-594a7730f548 · outbound
This paper cites Top 500 applications in the united states,.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Top 500 applications in the united states,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.320793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 096f8a3d-cfaa-4f83-ab63-915fcee3e8e7 · outbound
This paper cites Available: https://www.similarweb.com/top-websites/ united-states/category/application.
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware Available: https://www.similarweb.com/top-websites/ united-states/category/application
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:28:00.305146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
Observation c760c39f-4f79-4c3d-a4be-fc79fc3b5c5c · inbound
Is "Knowing It's Malicious Enough?" Evaluating LLMs for Fine-Grained Malware Behavior Auditing cites this paper.
Is "Knowing It's Malicious Enough?" Evaluating LLMs for Fine-Grained Malware Behavior Auditing Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware
Reference 2025
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:56:18.004739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.