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Paper Citation Record · LEDGER

Multi-View Decompilation for LLM-Based Malware Classification

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.20436.

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

pith.paper-citation-record.v1
2606.20436 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:10:44.510497Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved32
  • parse uncertain2
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f248c0bf-201c-4efa-93d2-356510cb2563 · outbound

This paper cites 2026 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2026 , eprint =

Reference 1

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:e6f62870ff384a100989c87f44285c6dd67320517caaea22105e0dc43195076e

Observation df77fe2b-f450-425e-9edd-5a2e427530ba · outbound

This paper cites 2024 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , eprint =

Reference 2

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:e86be6ee167ef0dc88f3ed2e63e4d61658293083cfe68bc684cb3618b88a5137

Observation f9a0213e-3250-499e-8713-b1b5eaf45113 · outbound

This paper cites Large Language Models for Code Analysis: Do.

Multi-View Decompilation for LLM-Based Malware Classification Large Language Models for Code Analysis: Do

Reference 3

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:c53855878a2fd695a4daad0e275691c1db37a8d3515c0a76bbb3bf8e62684484

Observation ccdf8abd-940b-4e0a-ab3d-a3073501539a · outbound

This paper cites ISBN 9798400706127.

Multi-View Decompilation for LLM-Based Malware Classification ISBN 9798400706127

Reference 4

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arxiv_id, observed 2026-06-26T17:19:36.619303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:54ca37e3caf4072194b6cf2d41be740bbe8f3140ed23fa8c76904e3723bed8e9

Observation 9b1e3da9-ccc3-4a6f-9abe-c325ef94e020 · outbound

This paper cites 2024 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , eprint =

Reference 5

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:1bb2a1b5fb3fad2c00773882768bce044c71c719faccb0c0255bb0b989ffafb7

Observation 1a3e1c40-51f6-4af9-ac89-65a1adb727ac · outbound

This paper cites 2014 , howpublished =.

Multi-View Decompilation for LLM-Based Malware Classification 2014 , howpublished =

Reference 6

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:2e603ec4427414df6c688b1b472be4d86d8c0c1ab5fe093a9bf28ecfa85dcc0d

Observation e3d8be81-866a-4711-914e-c1a6baa1649c · outbound

This paper cites an unresolved cited work.

Multi-View Decompilation for LLM-Based Malware Classification Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:fbd2ec755baee06ce80b9dfcbbe6aa54acf6e283fda21d04ddab692055ca5045

Observation 8a3fef8a-b67b-4e7f-9501-02f7cbbd2832 · outbound

This paper cites an unresolved cited work.

Multi-View Decompilation for LLM-Based Malware Classification Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:a16392d374171de19a71386f5a9b78952d0402c3996df086d1bc308f25cefa64

Observation cea64dd5-69e4-4971-9a7f-480086eb42cb · outbound

This paper cites an unresolved cited work.

Multi-View Decompilation for LLM-Based Malware Classification Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:ae0b814ff046fd5ccc4dfdc54b189f1383e03c5449c42261f18d73c789086f24

Observation 24397d95-5fe1-4fc5-8f65-5deeebb1b2bc · outbound

This paper cites 2024 , note =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , note =

Reference 10

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:dc28e72fd69a6e4894f94f782fcac80a85e79d6beb6a29baa78e7eb6bdfae2c7

Observation 0a849bfc-592f-44cd-ad4c-63340b5322c0 · outbound

This paper cites 2024 , howpublished =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , howpublished =

Reference 11

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:abb3b801ba54fe7cc96c5e4f170a97e5e8fde8990a74c49eb26695426b9da3e4

Observation 4734ca7d-86ca-4c2e-9d31-801d6af4adcf · outbound

This paper cites an unresolved cited work.

Multi-View Decompilation for LLM-Based Malware Classification Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:c3bf63998c2f0777a63592891fd36cbd0a2848c6c31d923e51c1cdf76feda2ee

Observation 04dcfa55-edfe-4650-b2ce-6a83ba71b86d · outbound

This paper cites an unresolved cited work.

Multi-View Decompilation for LLM-Based Malware Classification Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:dc4d432c3912d94fbcdaaea534be9974ba9e402c5cc379db61b8860e4548d6f6

Observation 54ae3093-11a9-461f-b9bd-640692f184bf · outbound

This paper cites Proceedings of the Network and Distributed System Security Symposium (NDSS) , year =.

Multi-View Decompilation for LLM-Based Malware Classification Proceedings of the Network and Distributed System Security Symposium (NDSS) , year =

Reference 14

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:2a2343d509f9cda7c9fe7093f587da807db97136c162ec687fa4cdee03a91047

Observation c1dc13d8-5f75-4667-aefe-9a5ec985f649 · outbound

This paper cites and Lee, JongHyup and Woo, Maverick and Brumley, David , title =.

Multi-View Decompilation for LLM-Based Malware Classification and Lee, JongHyup and Woo, Maverick and Brumley, David , title =

Reference 15

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:dee9915b65715039d03a12f4a7aabc4027318497c3c4100513427fd605623b72

Observation 7f1c7c56-abfc-41d3-a12e-ca54dbbd6090 · outbound

This paper cites and Vasilescu, Bogdan and Le Goues, Claire , title =.

Multi-View Decompilation for LLM-Based Malware Classification and Vasilescu, Bogdan and Le Goues, Claire , title =

Reference 16

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:b33a2f9845cabe554f6734257e9c1e1639cc96f6506e5ee906fb2fa3381e226f

Observation 9a381f11-0fd2-4594-8dcb-437b631515ca · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Multi-View Decompilation for LLM-Based Malware Classification Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 17

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metadata mismatch
local_arxiv, observed 2026-07-04T04:19:33.762877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:cbebe9688f35c92fef6e67b256293fc09eb4b4c14ae17b584e6b39ec10b9d7c5

Observation bc2a8617-c484-4b24-a84b-42cc7310519c · outbound

This paper cites 2026 , howpublished =.

Multi-View Decompilation for LLM-Based Malware Classification 2026 , howpublished =

Reference 18

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:ae564ed586574b849850d62ceeaa0913d17f100767fd88945392f4759114c831

Observation 0a493579-e8a4-44aa-a4e1-e3cfe0ce8d74 · outbound

This paper cites an unresolved cited work.

Multi-View Decompilation for LLM-Based Malware Classification Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:3401383dd07bcaf5db99df231fc72c1226bf1c3006823b4c8b46ebc4672eccfd

Observation 7e686ab7-251c-4126-8310-d3c176d895e7 · outbound

This paper cites 2025 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2025 , eprint =

Reference 20

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:76633188409f0514e84a2a7126f05eab615487272a10978522e23a1a46586e7a

Observation eb616787-4de2-4378-94dc-d8a5505f7f9a · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Multi-View Decompilation for LLM-Based Malware Classification International Conference on Learning Representations (ICLR) , year =

Reference 21

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:887b408e2fc9548a883c349afda4daae29ebf6baeb564046c3cfdba897ad826d

Observation 6a56ccfa-f5dc-4370-8402-e11f2cd8057e · outbound

This paper cites 2023 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2023 , eprint =

Reference 22

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:617b4c6f9150fa0c7840f706ae501827742e176c8323ba3c09153ce3de2d9522

Observation e5b241f6-07e6-4e36-a75b-08f721b8369c · outbound

This paper cites 2024 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , eprint =

Reference 23

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:23c650d661b2d48197997d745abd236609751d2e028c2f82d09749205831bd57

Observation 24fee778-cd9c-462b-9735-4033216a0ed6 · outbound

This paper cites Transactions on Machine Learning Research (TMLR) , year =.

Multi-View Decompilation for LLM-Based Malware Classification Transactions on Machine Learning Research (TMLR) , year =

Reference 24

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:0e9c62764b25b2b0b3d5d3edcfe0cb8ab4ef24325f1efa182e10689aea5fc900

Observation 660b9852-3d85-4b11-968a-0263a264f26d · outbound

This paper cites Harnessing Multiple Large Language Models: A Survey on LLM Ensemble.

Multi-View Decompilation for LLM-Based Malware Classification Harnessing Multiple Large Language Models: A Survey on LLM Ensemble

Reference 25

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verified exact
local_arxiv, observed 2026-07-04T04:19:33.753410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:a91a070bf9f3f31f4471aec56b75f5364ff41b14bafc8456937bfae8e097e137

Observation 1df8ec19-7870-4f66-9c89-c7504174dab7 · outbound

This paper cites 2022 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2022 , eprint =

Reference 26

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:8f5b0319c6c556ef84613d209f621132208bd1b6e68ae035acc96f9bc7480108

Observation 5b568d7e-33d3-4a66-8067-09c81d291cf6 · outbound

This paper cites 2025 , url =.

Multi-View Decompilation for LLM-Based Malware Classification 2025 , url =

Reference 27

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:132a16c8e1aa4c98dada022b75d8e9a99a146745a4f59f6cfd8628c2e13a8504

Observation 0cfc86ed-355d-49f9-8b5b-cc33f64f5186 · outbound

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

Multi-View Decompilation for LLM-Based Malware Classification LAMD: Context-driven Android Malware Detection and Classification with LLMs

Reference 28

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arxiv_id, observed 2026-07-04T04:19:33.756572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:3d0740f25124d2173c61d5a0f674d466700eef0333929d02c1a101ef49d75407

Observation 56008cef-7313-4a57-8e60-0cca239dd709 · outbound

This paper cites Feasibility Study for Supporting Static Malware Analysis Using.

Multi-View Decompilation for LLM-Based Malware Classification Feasibility Study for Supporting Static Malware Analysis Using

Reference 29

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:5dba336ff0c1cbb4772c18a7b1bb6b92b64ab8b6ed0f6b3c3729048eee96db73

Observation e9246308-0b04-41c2-ab24-a5dbe8771cee · outbound

This paper cites Assessing.

Multi-View Decompilation for LLM-Based Malware Classification Assessing

Reference 30

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:053cba60bdb6be6aad04fd15d10acf4f172ebc99ba5ff3b5167d3fe3632a7b61

Observation d3250454-40c0-4ad6-be42-e6165ce42696 · outbound

This paper cites 2024 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , eprint =

Reference 31

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no resolver link, observed 2026-06-26T17:10:44.510497Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:e2bfbdfa9305d66b3fa185db9cac68d6dbb40978c5873b22960d86c70a60f7e6

Observation 23707d5c-f2dc-405f-98d5-44e2a4392520 · outbound

This paper cites Proceedings of the 38th Annual Computer Security Applications Conference (ACSAC) , year =.

Multi-View Decompilation for LLM-Based Malware Classification Proceedings of the 38th Annual Computer Security Applications Conference (ACSAC) , year =

Reference 32

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:22d93106cfbc57eb9a05b9dedf1d3241bd58ec9cf127908175988af891fe8913

Observation 6934f6fa-4d73-47e7-999e-74522f092701 · outbound

This paper cites 2024 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , eprint =

Reference 33

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:74f64a58b3d2da421f02d5b309a7272cd88bbb8102eefdf29f868fd5972802c1

Observation 377e39aa-e7b0-4416-a925-c70f50c40d87 · outbound

This paper cites 2024 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , eprint =

Reference 34

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:f325cbfb2da813468c6ea71b13f7642112ea473fb067c8cd903e4505d7640dcf

Observation 3947c958-da34-464a-bc1e-01b01fc07863 · outbound

This paper cites Proceedings of the 45th International Conference on Software Engineering (ICSE) , pages =.

Multi-View Decompilation for LLM-Based Malware Classification Proceedings of the 45th International Conference on Software Engineering (ICSE) , pages =

Reference 35

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:4329d9fbd24f7698efa3b561c188261172bb7e5e311906e9b292b8b26677d791

Observation 82291c74-64ef-4a58-8fd0-07b9cc5c6f8c · outbound

This paper cites and Bu, H.

Multi-View Decompilation for LLM-Based Malware Classification and Bu, H

Reference 36

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:adf0459f4e6cbccf9f6392fbf07ac6dcedeb04ebd51b3829690bfea995de3c54

Observation e14d10f7-55d2-4970-9635-9be315f959e9 · outbound

This paper cites 2024 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2024 , eprint =

Reference 37

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:6312f2c5d5ec26e800043af9f62311f7ccf3b4ff4e991337eb88e907be57d1a3

Observation 9e8c6b47-54f8-4dc6-b847-21628402b817 · outbound

This paper cites 2025 , eprint =.

Multi-View Decompilation for LLM-Based Malware Classification 2025 , eprint =

Reference 38

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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:a99ddf49c5236cda47158dba516ba8c919b5388a0357541f795db0b534672115

Observation 1cfc8b1c-b1a8-403e-bcb0-d8a0324aa106 · outbound

This paper cites MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization.

Multi-View Decompilation for LLM-Based Malware Classification MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization

Reference 39

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verified exact
arxiv_id, observed 2026-07-04T04:19:33.759746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:c45432a5662431eb049f04816f773f61ffb88a56d2efe72ad84ae63ba83bb7bc

Observation d1b926f8-8163-4b60-8f87-8c839c92abfe · outbound

This paper cites Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches.

Multi-View Decompilation for LLM-Based Malware Classification Exploring LLMs for Malware Detection: Review, Framework Design, and Countermeasure Approaches

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:19:33.749759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:73cfc02765ec460e86a85a021c4e8ee6c57d71b1a08437006a010cb93c0a498d

Pith citing papers

No inbound Pith citation observations are available.