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Paper Citation Record · LEDGER

Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware

As of 22 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.

pith.paper-citation-record.v1
2501.04848 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:28:00.185265Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:17.631493Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-10T21:28:00.101477Z digest=sha256:5fff06b4fad5d5bd75c82fa9db6028b59599125e75f91993997c811b7e24dfa4

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.

source=pdf_text observed=2026-08-10T21:28:00.107042Z digest=sha256:0ee4cf3516e16bf75e8865645d516b171b874b5b298add5fc34e31b3bdbe7929

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.

source=pdf_text observed=2026-08-10T21:28:00.112120Z digest=sha256:3ee5bae081a26ce46dbb114220ff4ebc2997e97d2960b9a3f0c9e28bffc4efe7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.117001Z digest=sha256:19b048796d89caf59fb9712d465ccc42084ba121dedffbb63d3b5dde79b2c83e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.122114Z digest=sha256:26742c1a877059b3ed3c2fd3c800de0c9e13dab572816f3b81196e51c03e2816

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.127199Z digest=sha256:74d63c84ea387bf23fe81b75c192b8ac975d181ff2c7c2454f8d029903b7a4af

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.133010Z digest=sha256:fa0347a6e289fecbeda37a4abe6ac6a44cafe8a31cfac0be15bc088cc452c59f

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.

source=pdf_text observed=2026-08-10T21:28:00.138198Z digest=sha256:b654e2ad04acd7dececd6ccacb3f064a7a627b58655c9fe986e3fd411c9aa73a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.143571Z digest=sha256:fe1420bc000ba29e0f8b77fa83e33d3180a6bea6970cf083b627b0b45c594f26

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.

source=pdf_text observed=2026-08-10T21:28:00.148093Z digest=sha256:036c45a1bb45f30b67eabc55717d20f41219fb28b0d3f1bcfbcd64fb41330f60

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.153113Z digest=sha256:8ee3924c3c965fcb8287dfb5288b4f0d2de30af290fc33588c8724115f1fbd68

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.157884Z digest=sha256:84c208f5b5f1bbfcaa010be9dcce87ac9ecc946b5ef748c6177b7a93cd3d3593

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.163027Z digest=sha256:6dc34646611ad9d805c5024cefb9810a7d98dcaa5b1fe67242421d6741560cda

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.167460Z digest=sha256:43329d909847ff79525826aff9a0e4e8bda63c5b713dc189858ccdeeb5f0e22c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.172113Z digest=sha256:48542633de5bf37eac1379221e3219ce3a4ff76c2e4eb399863c79b7323299af

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.176725Z digest=sha256:8426e7b1391a9b25de844a013439502d6d53389cfef105d90319757fdb885d93

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.180902Z digest=sha256:446a16224577319e2e27ca1edc4983869b81ceb2e4f97e0a4083150894c01632

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:28:00.185265Z digest=sha256:b0cc527a830d22e350feb112cec6297cb186f37225c067fca3ac02d6223be9b7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T15:56:17.631493Z digest=sha256:2be0bc3640feb82393ebc238e45805f1aa264e6d5113e484c074cf8c20d85691