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Paper Citation Record · LEDGER

Enhancing Android Malware Detection with Retrieval-Augmented Generation

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2506.22750.

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

pith.paper-citation-record.v1
2506.22750 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:35.229960Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:52:32.073183Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T20:52:35.669521Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22567f88-3a44-439d-a128-9a47ab4065c4 · outbound

This paper cites Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:39.766464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:33.273901Z digest=sha256:a5c43b684fca1898202b3e311a1373aa4cd7ce9d8269ff20c1e13556023442e9

Observation 0ffb642c-63b5-40e4-aa6a-e40d247d9c18 · outbound

This paper cites Android permissions demystified.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Android permissions demystified

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:39.413184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:33.343724Z digest=sha256:c259bf39a5ea28c3da6d998904e77f70cb50d999905dd2e1546c86fa880ee1b7

Observation c6c87e66-73d9-4207-8c7c-3c6ca264c4c0 · outbound

This paper cites Dissecting android malware: Characterization and evolution.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Dissecting android malware: Characterization and evolution

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T22:03:33.439380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:03:33.439380Z digest=sha256:d057ef231bdd46cee156478438a8ea8efd0301ebadd5833107d0a2268ead62b0

Observation 6db0d7be-3994-41d9-ae5a-64c0473aa893 · outbound

This paper cites Drebin: Effective and explainable detection of android malware in your pocket.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Drebin: Effective and explainable detection of android malware in your pocket

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:39.159373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:33.509434Z digest=sha256:1f82945b0f69975fdfe52d3994a93f81f1c1a11924d526d8bebaae8981128c4d

Observation 5d481acf-6800-4d14-b2f6-d6321a4d9085 · outbound

This paper cites Copperdroid: Automatic reconstruction of android malware behaviors.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Copperdroid: Automatic reconstruction of android malware behaviors

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:38.851963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:33.595815Z digest=sha256:baeeb05d82c55cd7d52ca65d58ed8d48dd20706255054142a2929696f82fa238

Observation 4c0e2caf-6181-4b8b-b08c-e80422958b28 · outbound

This paper cites Droidecho: an in-depth dissection of malicious behaviors in android applications.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Droidecho: an in-depth dissection of malicious behaviors in android applications

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:38.526452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:33.650874Z digest=sha256:facee605287f7c0ed4d97f2f4516606171179792ec084b5fdaf4c58cad3ae225

Observation f2103a93-cd76-46ca-b119-63a485c95dc0 · outbound

This paper cites Yes, machine learning can be more secure! a case study on android malware detection.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Yes, machine learning can be more secure! a case study on android malware detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:38.324091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:33.737598Z digest=sha256:702267dc27250162da554c503c7f0f53731ebb5a086018896d6c0aaedbe5b7e7

Observation 0072a9bb-63cf-476e-9acf-3259e2e0d729 · outbound

This paper cites Agentic information retrieval, 2025.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Agentic information retrieval, 2025

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T22:03:33.874980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:03:33.874980Z digest=sha256:1286fb8822e058994b322e75320120c4b9bee84abea81a5b2fd026afcca60208

Observation fe50c884-e6b3-4aa0-ac42-435d3c29f83d · outbound

This paper cites Droidsieve: Fast and accurate classification of obfuscated android malware.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Droidsieve: Fast and accurate classification of obfuscated android malware

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:38.048988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:34.027407Z digest=sha256:388de44c42247dbecdf860738bb8be1d3afccc3d1560257c55d717ab9261e36c

Observation d88e53bc-3b14-456a-8c68-aa9375c9c0a4 · outbound

This paper cites Mamadroid: Detecting android malware by building markov chains of behavioral models (extended version).

Enhancing Android Malware Detection with Retrieval-Augmented Generation Mamadroid: Detecting android malware by building markov chains of behavioral models (extended version)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:03:34.114757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:03:34.114757Z digest=sha256:29d0fb5834fbdd671068778627903127f65a96d8cbdf9c740f2af614490d42d2

Observation c5df2ed1-6b9a-404d-8366-a2f0a4267d88 · outbound

This paper cites Droidchameleon: evaluating android anti-malware against transformation attacks.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Droidchameleon: evaluating android anti-malware against transformation attacks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:37.848163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:34.181948Z digest=sha256:67d9e48fab87a6ada65809edb90a43dc6b1cfcc0473452849cfe94b27aebb7b8

Observation 55e15959-7945-4cf9-bbfc-6db82fe8e72f · outbound

This paper cites Evolution, detection and analysis of malware for smart devices.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Evolution, detection and analysis of malware for smart devices

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:37.608611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:34.263994Z digest=sha256:4af3378f76eaa13c393178b7123be1c0b0bbced0a40e1c68988fe4328a990582

Observation 960f4a03-4cb7-41b8-a997-2d6e89c4d0aa · outbound

This paper cites In 21st USENIX security symposium (USENIX security 12) , pages 569–584, 2012.

Enhancing Android Malware Detection with Retrieval-Augmented Generation In 21st USENIX security symposium (USENIX security 12) , pages 569–584, 2012

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:37.328548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:34.364257Z digest=sha256:7bcaf90f874016422e513664e1b4a2c54c33cd106be276171ad6238080097295

Observation 8025bc05-6c4b-47b0-83cf-d3e549e560eb · outbound

This paper cites Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:37.134943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:34.497526Z digest=sha256:0e889698a0722e0f1c63025dedeb3cbcce7e968d612227fad6f2525436ca7a7e

Observation 17ee9433-72d9-4c88-b086-58fdafb22ef4 · outbound

This paper cites Hindroid: An intelligent android malware detection system based on structured heterogeneous information network.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Hindroid: An intelligent android malware detection system based on structured heterogeneous information network

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T22:03:34.581798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:03:34.581798Z digest=sha256:708ef3043972d7b564899850998df820739c7a5df164b685b3afc77a6d86598c

Observation 4c7f76b0-ae6e-4eab-b06e-88c11e8b7a1c · outbound

This paper cites Summary of chatgpt-related research and perspective towards the future of large language models.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Summary of chatgpt-related research and perspective towards the future of large language models

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:36.809333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:34.658278Z digest=sha256:aff193da49f4b5e3aada33b056955708f88ff33175a43fd469ce6e6e49c6c60e

Observation 7f7bf19b-9d96-481d-add9-6ef8c1bc0f4a · outbound

This paper cites Apppoet: Large language model based android malware detection via multi-view prompt engineering.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Apppoet: Large language model based android malware detection via multi-view prompt engineering

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:36.543122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:34.761542Z digest=sha256:dae88e38421373af3c00ceb439f1e2b4f6e00934ec0ad1cf203a5837143c159f

Observation 30a0409a-4203-4222-92e4-e81fb8259ef1 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T22:03:34.866774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:03:34.866774Z digest=sha256:fec689fa1b19ce993151b42f29d0d890519368686f7eb7eb42ea99d80ff559bd

Observation 7de15bd2-c9bb-4109-9b86-23e17f164a51 · outbound

This paper cites The research trends of corpus-assisted stance research (2004–2023): a systematic literature review.

Enhancing Android Malware Detection with Retrieval-Augmented Generation The research trends of corpus-assisted stance research (2004–2023): a systematic literature review

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:36.182446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:34.988017Z digest=sha256:c80819f823ac4b2068c73c11b455ae37ccd5bc128d44f17fd13ae1bf08870d30

Observation 95c2774f-b3fd-4053-a4f0-4311b63adb18 · outbound

This paper cites Cysecbert: A domain-adapted language model for the cybersecurity domain.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Cysecbert: A domain-adapted language model for the cybersecurity domain

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:35.889942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:35.060185Z digest=sha256:e0f526d744b36026f9db3187c73db35f4c6407bdb5ba5a2436e8b171fb8b0e6f

Observation 86aa1c69-7398-483a-bafd-21c0b91930f4 · outbound

This paper cites Secbert: Privacy-preserving pre-training based neural network inference system.

Enhancing Android Malware Detection with Retrieval-Augmented Generation Secbert: Privacy-preserving pre-training based neural network inference system

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:03:35.567463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:03:35.229960Z digest=sha256:08abf467f1f9fc92c942144027f0f040c87e62088d17e3d553099c054efe4999

Pith citing papers

Observation 5db8864f-d4df-42f1-a82a-880d6d52416c · inbound

TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis cites this paper.

TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis Enhancing Android Malware Detection with Retrieval-Augmented Generation

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-04T20:52:35.794643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T20:52:32.073183Z digest=sha256:229b32a5c299db81758aa143f0d87545c8ed565ed35dff3d869e7af60f24681c