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Paper Citation Record · LEDGER

Multi-View Decompilation for LLM-Based Malware Classification

As of 24 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 2026-08-23T06:30:58.430688+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:c618b224ffb6ce76b86feec8c9f75bdf02d962c27762472c00e78a4b4dbf9727

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=sha256:690a8e21114d44a54d40dba246329b300a966871ae07aea8247c8080e417bc4d

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:e8cd1070387fb868a394227ebea5b9298b7620e9f32a0498b0887de3993de252

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:06abe180b5af13d3c4eb8787a7eeab3eb017131afe97f5b39f3ecd3acf0f5d45

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:de34f0bb4b9676cf7da7d6ab25d51edde0486a1f5a7bfb76511d18d19ea662c1

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=sha256:59ac49b65407b050d1298852af4136ce8c40ebc626428651c94545111ebb1c23

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=sha256:45a2310ee131b9a14fc4ae438d00aea327f4714c3bfb40ce3e6683321a067dab

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:ed04672027ebb9422160b9661dd32f0935e551024446f6b1a2de335cd6431d76

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:d8f9c09c14516eb82b19e6c54420194e5b580f5a0191ed68ffd1522921aed3df

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=sha256:909b3acac1d9526b7d56a771822c1668a97eda5507660f9d19e3e838a3474c24

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:a45bf9abb6234288616f53e5bb21001858a6be7b534b4d062e815b38685417a1

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:ae28fc26a20e8850420aad68bf40bb8c72bacd14acdfe9017eae198b70672bba

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:b14c235c3a68de5996ac56b1aa40a1d2bff49bc1cd848e1506ac1fda9b68fe6c

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:bf54c1e74e28fcf28e94e3bf338c6332bca3c338c78da2717d30d64f2f302537

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:b11181ac28994eec8f56c6525b919da799eb317108a331515309427f548c3f85

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=sha256:6efabe52d2a3b797cbe3248d9ceb2ba8e3f0ac334800c5886462c9eb866e4ca9

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:a1806f429b85513a93ae3c4c41d718bdd289a0e726b38f1da28b612f20f1a623

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=sha256:14bb71c3bb9f8f6fdc48126ebb4cf69d93272ad7bb9d8ce825111a184ed96f72

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=sha256:3e99ddf50a37ff33e43410b401786ee9ef57dc7043ea91b5e516cad1fc0d5738

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=sha256:74a6e74597a618f2e129ea7d8977269a7036c2130ee0a80d66ebf8ebebf2d6b4

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:e6ca45755d05be6ae9570f2b7c089c468b5132e536360e8d3fd703b85591c078

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:d723e1c2df610ea8c6a542501fa070d42c7866cb2442a53bbf52d60975f4eecf

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:c29d2c8e2c26fb52da84182c883879ba87627f929cec3b32461106d35dacb123

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:b55fe50dede990dff2a95d08b35a302a846a0ea42c02dcb6adbb1dbcf7b7c767

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:24baa36b980ad7f2964766cffa362d272735fbed22ab0cdb5b105d9e73cc9a0a

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:bb06cf8ec486079969ecebb7626899009b40a340415b175464a19834dbbfa92e

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=sha256:5446295d821b7a82aa9a297f6681f9a81ec9be208f7c11b910b9b804961f6308

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:a48669533afe62ab62b957e28ee4e2448759d5cc79b026cd466c49101c0ff682

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=sha256:738d5a67f6c13b403fe2f9fe316b39311d90b92a27b1fed3469418bc1f19647b

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:bddfff42f79f418dad221e2f54abb508b77230455250dd20144bc70a57693cf7

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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source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:8a31348aea0369970e4b5d48bec6613fd40f6b1eb3ddb9635ca0228e45b98037

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:f2b8a6201708158960bbdaf46e0827f7c32302fd00f946dc7716127bb3d55da6

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:c29ff7ca42d279faf2eff48fe98d91a85be6ea8afd2392c37dcf83d360ba0aaf

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=sha256:76a9891a53e4607cba389815196ae27350d432833a1a4baffa8656ccf0f6196a

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:e362da5c2bb43899ab5c12b8c1a29e82b6234c1b96c155091dad209a25e59556

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:def91be4e0f8f45ed7c1623a8f61227102048139b5fbd1d654266189aa949da3

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=sha256:2fa57a31b1ce8ab7d81d7a3e26093ce79ac84195caceb788481265cfacdb7a27

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:e4abcddf364e2947fba44e3f74893ab8af73ea7bd6ac3a94ea49a51189c93b3c

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:1873299b4a91eafbd50677a08c4bf1a91504bd85981ab438c9eb618eff4c2594

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T17:10:44.510497Z digest=sha256:6415ff05400eeec104b3c9304156b87416ed1c8e0682b5eabd6f9d68061ea3f9

Pith citing papers

No inbound Pith citation observations are available.