Paper Citation Record · LEDGER

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2508.17856.

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

pith.paper-citation-record.v1
2508.17856 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:48:19.087675Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:17.606307Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:56:18.026021Z

Reference resolution

31 of 31 outbound references displayed

verified exact2
verified fuzzy25
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e884b44-7688-405f-827c-23fd642d57f6 · outbound

This paper cites How many android users are there? global and us statistics (2025),.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs How many android users are there? global and us statistics (2025),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:24.368525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 17b26ef3-cbfe-43b3-b083-2832fdf7c83c · outbound

This paper cites Understanding android obfuscation techniques: A large-scale investigation in the wild,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Understanding android obfuscation techniques: A large-scale investigation in the wild,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:24.243685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7767687-306f-4452-abff-ebe794228689 · outbound

This paper cites Dynamic trigger-based attacks against next-generation iot malware family classifiers,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Dynamic trigger-based attacks against next-generation iot malware family classifiers,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:24.067993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 989c847f-95af-49a1-8cee-53f1f8514482 · outbound

This paper cites Detection of repackaged android malware with code-heterogeneity features,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Detection of repackaged android malware with code-heterogeneity features,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:23.867470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f77c359d-98ab-40a1-8033-3e6d276cd58c · outbound

This paper cites A survey and evaluation of android-based malware evasion techniques and detection frameworks,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs A survey and evaluation of android-based malware evasion techniques and detection frameworks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:23.715714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a47d1547-9e07-4ce8-9e7c-f18eab096935 · outbound

This paper cites Unmasking the veiled: A comprehensive analysis of android evasive malware,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Unmasking the veiled: A comprehensive analysis of android evasive malware,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:23.547421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ede3383-5273-42a8-a39b-5627e97c789d · outbound

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

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Drebin: Effective and explainable detection of android malware in your pocket

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:23.315041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e714a19d-bd92-4558-ba09-999a130213f1 · outbound

This paper cites Malscan: Fast market-wide mobile malware scanning by social-network centrality analysis,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Malscan: Fast market-wide mobile malware scanning by social-network centrality analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:23.144942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b48bd25a-2175-40a3-99f7-49e1accea713 · outbound

This paper cites Dexray: a simple, yet effective deep learning approach to android malware detection based on image representation of bytecode,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Dexray: a simple, yet effective deep learning approach to android malware detection based on image representation of bytecode,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:22.974378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12221d57-795d-4a89-8483-a71eedbcab4b · outbound

This paper cites Android malware detection: looking beyond dalvik bytecode,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Android malware detection: looking beyond dalvik bytecode,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:22.805577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e91cad7d-7de9-4367-9c5b-b910d7b6ed17 · outbound

This paper cites Detectbert: T owards full app-level representation learning to detect android malware,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Detectbert: T owards full app-level representation learning to detect android malware,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:22.628966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ccdbf27-005f-4a96-ba0e-c220e8dfe87b · outbound

This paper cites Android malware detection based on novel representations of apps,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Android malware detection based on novel representations of apps,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:22.482162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a4aac72b-8b26-446e-b7d6-c947aeb7f158 · outbound

This paper cites Android malware family classification and analysis: Current status and future directions,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Android malware family classification and analysis: Current status and future directions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:22.314887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4623cbcd-69d5-44c5-b91b-70e05ce1e21b · outbound

This paper cites A hybrid analysis-based approach to android malware family classification,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs A hybrid analysis-based approach to android malware family classification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:22.066879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0efa56b-0029-4697-91c9-3e049f7349de · outbound

This paper cites Efficient deep learning network with multi-streams for android malware family classification,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Efficient deep learning network with multi-streams for android malware family classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:21.898954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d2e0923-d32b-45f9-9c02-3bcbf9c056bb · outbound

This paper cites Malnet: A large-scale image database of malicious software,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Malnet: A large-scale image database of malicious software,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:21.676419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1702b52e-a437-469f-b719-54a766817dff · outbound

This paper cites Temporal-incremental learning for android malware detection,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Temporal-incremental learning for android malware detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:21.535158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d53b5fc3-c1b7-42de-8eab-eab5426286de · outbound

This paper cites A multi-view context-aware approach to android malware detection and malicious code localization,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs A multi-view context-aware approach to android malware detection and malicious code localization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:21.308217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ccd4317-1a8f-40f9-8b2a-0bc5caf5f529 · outbound

This paper cites Dexbert: Effective, task-agnostic and fine-grained representation learning of android bytecode,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Dexbert: Effective, task-agnostic and fine-grained representation learning of android bytecode,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:21.143014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42deb2de-fb7b-47b9-902b-f6f6eecad948 · outbound

This paper cites Malradar: Demystifying android malware in the new era,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Malradar: Demystifying android malware in the new era,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:20.948021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f115962-22e8-44cf-9049-4ff558425bc0 · outbound

This paper cites MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:48:19.808644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8514c387-68d1-4f5d-8222-3f886a4edfbf · outbound

This paper cites Unraveling the Key of Machine Learning-based Android Malware Detection.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Unraveling the Key of Machine Learning-based Android Malware Detection

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:48:19.644730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3cd5e411-547d-4798-9720-7dd92ada26db · outbound

This paper cites Difuzer: Uncovering suspicious hidden sensitive operations in android apps,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Difuzer: Uncovering suspicious hidden sensitive operations in android apps,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:18.295665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d3a11e2-b436-4247-b03e-4b0e0ba9bb24 · outbound

This paper cites Improving Logic Bomb Identification in Android Apps via Context-A ware Anomaly Detection ,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Improving Logic Bomb Identification in Android Apps via Context-A ware Anomaly Detection ,

Reference 24

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T16:48:19.370111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73f47ed8-88c2-4220-9632-d9c6f7bf759f · outbound

This paper cites LAMD: Context-driven Android Malware Detection and Classification with LLMs.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs LAMD: Context-driven Android Malware Detection and Classification with LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:18.522676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2c114bf-1afe-4ed1-9c66-421a7e8d9a4c · outbound

This paper cites Dalvik executable format,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Dalvik executable format,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:20.758171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 367b0971-8ee0-4b06-b2fc-59e8033e0420 · outbound

This paper cites Apktool,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Apktool,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:20.591464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb57b5d1-1abc-4b50-bacf-f16f5eaedd01 · outbound

This paper cites T oward llm-driven gdpr compliance checking for android apps,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs T oward llm-driven gdpr compliance checking for android apps,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:20.414431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 88edcf46-3b82-46d5-99c3-464e94e79463 · outbound

This paper cites Adapt: As-needed decomposition and planning with language models,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Adapt: As-needed decomposition and planning with language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:20.231530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d07b1d9b-39f6-4dd0-9a61-678ebf4cc39c · outbound

This paper cites Phi-4 Technical Report.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Phi-4 Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:18.990409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1de6615a-7b98-4cbb-a009-293bd7ddd09b · outbound

This paper cites Gpt-4.1 api,.

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs Gpt-4.1 api,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:48:20.045978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 2aa49172-e147-4058-b964-678eac2a47c9 · 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 MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:56:18.031593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.