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Paper Citation Record · LEDGER

A Contemporary Survey of Large Language Model Assisted Program Analysis

As of 14 August 2026, this Paper Citation Record lists 100 of 182 outbound references and 8 inbound Pith citation observations for arXiv:2502.18474.

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

pith.paper-citation-record.v1
2502.18474 v1

Coverage vector

measured 100 of 182 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:32:24.276006Z

measured 108 of 108 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:21:38.174929Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T00:45:49.140822Z

Reference resolution

100 of 182 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved91
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9a1f11e-afe2-4a24-a763-81709e1d983e · outbound

This paper cites Challenges in software evolution,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Challenges in software evolution,

Reference 1

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source=pdf_text observed=2026-08-09T05:32:22.978588Z digest=sha256:ad760a2a696737dffe206234aba3b6b3282f04c0f95c992e76ad027867356caf

Observation 9c8dce4a-757d-4a31-8416-503b1f4865fb · outbound

This paper cites Clorifi: software vulnerability discovery using code clone verification,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Clorifi: software vulnerability discovery using code clone verification,

Reference 2

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source=pdf_text observed=2026-08-09T05:32:22.984754Z digest=sha256:2d680a4571689b2a08ad86e1217fc8e437cf0c933592d8b754ee4cb066ba18e0

Observation 8cbec5b8-cb79-4f90-b51d-8447d0a1248c · outbound

This paper cites Integrating static and dynamic analysis for detecting vulnerabilities,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Integrating static and dynamic analysis for detecting vulnerabilities,

Reference 3

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source=pdf_text observed=2026-08-09T05:32:22.990283Z digest=sha256:021df7d9b84fa614c980bdb400e9b2649c36727460309826855e2d5403b906a7

Observation ddcca004-2381-4fab-8c79-ad97b81561c3 · outbound

This paper cites On the capability of static code analysis to detect security vulnerabilities,.

A Contemporary Survey of Large Language Model Assisted Program Analysis On the capability of static code analysis to detect security vulnerabilities,

Reference 4

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source=pdf_text observed=2026-08-09T05:32:22.996010Z digest=sha256:eb94a4e3e8dfcf49af521aeee55c877832186203647e1274f819a02f19628de5

Observation c2ecb64f-2373-4f76-b0fe-884ad52a5889 · outbound

This paper cites Towards multi- language static code analysis,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Towards multi- language static code analysis,

Reference 5

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source=pdf_text observed=2026-08-09T05:32:23.001854Z digest=sha256:4e8a90c12792be9635bc8ea4e79033854b0f0015dc5265edc4ac9e435f6fe6df

Observation 7d87814e-c4db-428f-91f0-7c32c6f9e317 · outbound

This paper cites Static analysis of source code vulnerability using machine learning techniques: A survey,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Static analysis of source code vulnerability using machine learning techniques: A survey,

Reference 6

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source=pdf_text observed=2026-08-09T05:32:23.007421Z digest=sha256:d503ea5ecb3ec1eda7f595fbd8e1fc21219d31712e7f9920f17618e99edb1b43

Observation ec913034-fb04-449f-ab9b-dc487d9778fd · outbound

This paper cites Machine learning methods for software vulnerability detection,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Machine learning methods for software vulnerability detection,

Reference 7

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source=pdf_text observed=2026-08-09T05:32:23.013626Z digest=sha256:881c11ff0a42cf910c388ab2cd0c4ad27ed6152987258a7d2d8ed5795d4a7b7a

Observation 15786bc3-d3e9-4212-afbb-268b5d1b87bd · outbound

This paper cites Deepbugs: A learning approach to name-based bug detection,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Deepbugs: A learning approach to name-based bug detection,

Reference 8

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source=pdf_text observed=2026-08-09T05:32:23.040497Z digest=sha256:31e3c66ed6fb89a50fc5842f5072e77d2f171386e068ea4e5c055768c800919b

Observation ce877ee7-03ac-4728-84c1-857706948d55 · outbound

This paper cites Interpreting deep learning-based vulnerability detector predictions based on heuristic searching,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Interpreting deep learning-based vulnerability detector predictions based on heuristic searching,

Reference 9

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Observation d2f40be2-c46d-4de3-83ab-fb21f2f2fabf · outbound

This paper cites Deep program structure modeling through multi-relational graph-based learning,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Deep program structure modeling through multi-relational graph-based learning,

Reference 10

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source=pdf_text observed=2026-08-09T05:32:23.089056Z digest=sha256:abf70a317a07186767cf72dee681ab26165aa219ba19f048cbcd4b214ecae074

Observation cf0f4a8e-0d19-4eaf-8a1e-d00a361effa3 · outbound

This paper cites Few-shot training llms for project-specific code-summarization,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Few-shot training llms for project-specific code-summarization,

Reference 11

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source=pdf_text observed=2026-08-09T05:32:23.123936Z digest=sha256:576b6438eb6c14adb2abe1543390ebdf1b86f214a49c71ac3872ccd670d78f4c

Observation a4056e45-a1f4-4bde-b8da-65e1cb31400a · outbound

This paper cites I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution.

A Contemporary Survey of Large Language Model Assisted Program Analysis I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution

Reference 12

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source=pdf_text observed=2026-08-09T05:32:23.154659Z digest=sha256:cedc8ecf10879b9898435e0baae6578320cf9a60e9e7961cf20502eaf582a5db

Observation f5ca84f2-2fe3-4f9b-afd2-33d9b0f4e34d · outbound

This paper cites Attributing chatgpt-generated source codes,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Attributing chatgpt-generated source codes,

Reference 13

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source=pdf_text observed=2026-08-09T05:32:23.200367Z digest=sha256:8588dac1ba866ffa6f276e2478fa6a9b08ab6d2b9df641892a0e1082d9c42137

Observation 72614043-420f-43b5-af07-f046fc3bcc18 · outbound

This paper cites Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities.

A Contemporary Survey of Large Language Model Assisted Program Analysis Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Reference 14

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source=pdf_text observed=2026-08-09T05:32:23.231023Z digest=sha256:d1c4a068c492aa896869d5c3f42fb2b2d38a8b298cd198d085dd32ec52807f69

Observation 8aa9cf7b-160f-40e2-943d-db0463c18fa5 · outbound

This paper cites SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models.

A Contemporary Survey of Large Language Model Assisted Program Analysis SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 15

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source=pdf_text observed=2026-08-09T05:32:23.245736Z digest=sha256:dd5263edfdc073b3740739844fea5cfaf5ab0f2574fd66ed17601dc3267893b5

Observation 9b1a8f4a-863e-4168-90c1-c6ac3b959523 · outbound

This paper cites Impact of big data analytics and chat- gpt on cybersecurity,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Impact of big data analytics and chat- gpt on cybersecurity,

Reference 16

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source=pdf_text observed=2026-08-09T05:32:23.258959Z digest=sha256:750504d9725c19f62a4a8abf5116f9758f269e278fae8d76480068d7c79426ed

Observation 9595634f-fdef-49f8-aae7-4dc2e5661a4c · outbound

This paper cites Non-intrusive and Unconstrained Keystroke Inference in VR Platforms via Infrared Side Channel.

A Contemporary Survey of Large Language Model Assisted Program Analysis Non-intrusive and Unconstrained Keystroke Inference in VR Platforms via Infrared Side Channel

Reference 17

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source=pdf_text observed=2026-08-09T05:32:23.265319Z digest=sha256:026229bc4a32a12e4f180a602fe3456a9b35b28fe87591fc74881f6d5514d17a

Observation 209f26fe-668d-4a4f-b6b7-7da2a0338559 · outbound

This paper cites Recovering fingerprints from in-display fingerprint sensors via electromagnetic side chan- nel,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Recovering fingerprints from in-display fingerprint sensors via electromagnetic side chan- nel,

Reference 18

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source=pdf_text observed=2026-08-09T05:32:23.273774Z digest=sha256:5effc1e75bf7e3fb4c294d4b1079dc47bf77abd76d7a4896777cb1ca65c8c4a5

Observation 35f1bea7-3831-4b40-8a7c-d4f63bc94270 · outbound

This paper cites Uncovering user interactions on smartphones via contactless wireless charging side channels,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Uncovering user interactions on smartphones via contactless wireless charging side channels,

Reference 19

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source=pdf_text observed=2026-08-09T05:32:23.279415Z digest=sha256:856b4da49d158f4690be6f4d42ea27d53d4c5771a714eac16078af790350c445

Observation 02289aab-2c12-4a1a-bde4-d2b5360162cd · outbound

This paper cites Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models.

A Contemporary Survey of Large Language Model Assisted Program Analysis Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 20

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source=pdf_text observed=2026-08-09T05:32:23.285294Z digest=sha256:cc1deb34fb2c7aa7f1dfeeb61e95db0503a070b20a0f0625174501cc2ffb2592

Observation 69a21c99-4f3a-4662-895d-298254d47690 · outbound

This paper cites Nielson, H.

A Contemporary Survey of Large Language Model Assisted Program Analysis Nielson, H

Reference 21

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source=pdf_text observed=2026-08-09T05:32:23.290990Z digest=sha256:361cbeff2523992dd3f67cc8b644a1783eac7de82e492ab627a6cd6b44a9fde2

Observation 504c6f0d-ad76-4769-b03d-0e9cbc017840 · outbound

This paper cites Automated techniques and tools for program analysis: Survey,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Automated techniques and tools for program analysis: Survey,

Reference 22

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source=pdf_text observed=2026-08-09T05:32:23.295989Z digest=sha256:ac5d4a42e571d50cc90e940df66e5b1e15b48d2c0982c9125deaec145f1e760a

Observation 6fe313fa-a1db-493e-be14-a961f5995639 · outbound

This paper cites Instrumentation of java program code for control flow analysis,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Instrumentation of java program code for control flow analysis,

Reference 23

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source=pdf_text observed=2026-08-09T05:32:23.301352Z digest=sha256:dee4d8221eff6550bed98cafac557f968e26bdbf3e6cf757811d427e30a7b14a

Observation 458b3d62-2d99-4ce0-a4f7-130eb964e1ab · outbound

This paper cites Attention is all you need,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Attention is all you need,

Reference 24

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source=pdf_text observed=2026-08-09T05:32:23.306600Z digest=sha256:6687c13874552e371214bbd87370cf7cc449f7abb6a170b82ec44ecbd68a0c3a

Observation 96a897b2-e945-4d74-a483-f5bb008b75dc · outbound

This paper cites Large language models,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Large language models,

Reference 25

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source=pdf_text observed=2026-08-09T05:32:23.311161Z digest=sha256:1ce1957d60c0d0363bcd40a349840b180927af7a6771b4bad83355d7760576ce

Observation 236a6ff4-b816-4fed-8b39-9c56e9609ce3 · outbound

This paper cites Codellama: Open code-focused language models,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Codellama: Open code-focused language models,

Reference 27

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source=pdf_text observed=2026-08-09T05:32:23.326163Z digest=sha256:acfa8ff03a0d7e9d40928b9bbcec1a6bead8adcf5dc1235b53f2434a10802373

Observation 82dc1ee6-b0a5-4470-a6a0-f13802486e0a · outbound

This paper cites Language models are few-shot learners,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Language models are few-shot learners,

Reference 28

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source=pdf_text observed=2026-08-09T05:32:23.330806Z digest=sha256:d24383e4e70f3647387c6e519daf23cf01f3cfec7f07e1c176d7dcdd85e84ddc

Observation 3e303f8e-07e9-4523-b7cb-58eba7accb78 · outbound

This paper cites Gpt-4 technical report,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Gpt-4 technical report,

Reference 29

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source=pdf_text observed=2026-08-09T05:32:23.335601Z digest=sha256:28bcae3ebf6a766ee4fa87e2d35c4ce001593a3d4305efce1a2c9fe249dcd8c8

Observation bdf98119-e8bc-4390-8149-363aa3f78260 · outbound

This paper cites The hitchhiker’s guide to program analysis: A journey with large language models,.

A Contemporary Survey of Large Language Model Assisted Program Analysis The hitchhiker’s guide to program analysis: A journey with large language models,

Reference 30

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source=pdf_text observed=2026-08-09T05:32:23.340782Z digest=sha256:ce41bcff3fee025ccc9deb8455efb68dd73f85c009fa8a898b0de670e889b8df

Observation 5a4b7cf4-06b7-4d86-bdd1-806e3f0d4ea6 · outbound

This paper cites Detecting command injection vulnerabilities in linux-based embedded firmware with llm-based taint analysis of library functions,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Detecting command injection vulnerabilities in linux-based embedded firmware with llm-based taint analysis of library functions,

Reference 31

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source=pdf_text observed=2026-08-09T05:32:23.351350Z digest=sha256:40a8d707c229e5c82769014e0fcfa0013347fd74b96e2cc9341d8692b6c39955

Observation 62aebb42-7a0e-49b4-9792-4cd7e0235000 · outbound

This paper cites The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models.

A Contemporary Survey of Large Language Model Assisted Program Analysis The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models

Reference 32

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source=pdf_text observed=2026-08-09T05:32:23.345890Z digest=sha256:0e8e0e796b162b1eb6377403b351f8b1d71c3f34a8bbf9b91aa3bbd0252b1509

Observation ce94a86a-e995-47af-af75-220cd008ef33 · outbound

This paper cites Detecting kernel memory bugs through inconsistent memory management intention inferences,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Detecting kernel memory bugs through inconsistent memory management intention inferences,

Reference 33

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source=pdf_text observed=2026-08-09T05:32:23.361102Z digest=sha256:8ab3756e672635e8b4b58a25be14565061defd8f96e35c62a3f88c85867098f6

Observation 3d2a2e28-4f30-42d2-8f7b-3c9d7623ca33 · outbound

This paper cites Harnessing the Power of LLM to Support Binary Taint Analysis.

A Contemporary Survey of Large Language Model Assisted Program Analysis Harnessing the Power of LLM to Support Binary Taint Analysis

Reference 34

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source=pdf_text observed=2026-08-09T05:32:23.356227Z digest=sha256:89e5c14e07b2e7c387836063c20dfad1b2f51bc055cfe1c75267fe21b9eda8f2

Observation 4402068b-f551-434a-a31a-3183ac2eaf50 · outbound

This paper cites IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities.

A Contemporary Survey of Large Language Model Assisted Program Analysis IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Reference 35

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source=pdf_text observed=2026-08-09T05:32:23.402571Z digest=sha256:9a8e57c95172e5c6e60266c850c306cacf97737d5e4f09f18255cdc45a4c530e

Observation 1d8e8eb6-04d5-4d51-990f-6211c563c721 · outbound

This paper cites VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM.

A Contemporary Survey of Large Language Model Assisted Program Analysis VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM

Reference 36

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source=pdf_text observed=2026-08-09T05:32:23.431236Z digest=sha256:5219be040781ce3b8ec5c458f13998d33a52332736ca35ff328259e4203e081b

Observation 2376571a-acfd-4168-b163-8e42c34f6091 · outbound

This paper cites DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism.

A Contemporary Survey of Large Language Model Assisted Program Analysis DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism

Reference 37

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source=pdf_text observed=2026-08-09T05:32:23.376568Z digest=sha256:bbc320c5231eb3af60c44146285f89f6ad9bc6ae5bdc249b3e025ce13a8b252c

Observation 0270df8f-6280-467f-959a-279fdf56e448 · outbound

This paper cites Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models.

A Contemporary Survey of Large Language Model Assisted Program Analysis Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models

Reference 38

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source=pdf_text observed=2026-08-09T05:32:23.486285Z digest=sha256:024fc9e00f847082c32055dd498be498ef04d71a0d58aa3d84ae49e4a2478726

Observation c2116195-a8f2-4681-b45a-2a4cdef6bcdd · outbound

This paper cites Gptscan: Detecting logic vulnerabilities in smart contracts by combining gpt with program analysis,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Gptscan: Detecting logic vulnerabilities in smart contracts by combining gpt with program analysis,

Reference 39

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arxiv_id_nonexistent, observed 2026-08-09T05:32:29.355969Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T05:32:23.501797Z digest=sha256:abaf52989766061eb7c070d4103352145a6b830ccc9726b393274bf56563a5ed

Observation 89a3c5a1-19b2-453a-bd96-730a93f916f6 · outbound

This paper cites Multi-role Consensus through LLMs Discussions for Vulnerability Detection.

A Contemporary Survey of Large Language Model Assisted Program Analysis Multi-role Consensus through LLMs Discussions for Vulnerability Detection

Reference 40

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source=pdf_text observed=2026-08-09T05:32:23.459693Z digest=sha256:d03c1fb2916326f3677bcebc7b6360f05301df0336152ea8c90bd0247c28ceee

Observation 6c57bc83-78d5-451d-826c-34d49749b39d · outbound

This paper cites LLbezpeky: Leveraging Large Language Models for Vulnerability Detection.

A Contemporary Survey of Large Language Model Assisted Program Analysis LLbezpeky: Leveraging Large Language Models for Vulnerability Detection

Reference 41

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source=pdf_text observed=2026-08-09T05:32:23.511479Z digest=sha256:4ba8d3eb712fc5b533e790b0c8e7ea3c969e1644cd0f12b7c584ba63f29f429f

Observation 4dea4233-334c-482b-ac43-00dedf0a993d · outbound

This paper cites SkipAnalyzer: A Tool for Static Code Analysis with Large Language Models.

A Contemporary Survey of Large Language Model Assisted Program Analysis SkipAnalyzer: A Tool for Static Code Analysis with Large Language Models

Reference 42

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source=pdf_text observed=2026-08-09T05:32:23.516176Z digest=sha256:4f96dde33ed48b4fce14a10a64255cfeccc376448757d02d36a1d7a94869a8de

Observation a4bbc742-f05e-4f9d-a5ce-af24b7a12506 · outbound

This paper cites Iot software vulnerability detection techniques through large language model,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Iot software vulnerability detection techniques through large language model,

Reference 43

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T05:32:23.506727Z digest=sha256:50f95f971fa22479cb6838e16ba296fc5e921f1cf1dfac7363a829157df8cbaa

Observation 4b91dedd-5688-4ec3-998d-dff71f4f94bd · outbound

This paper cites Prompt- enhanced software vulnerability detection using chatgpt,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Prompt- enhanced software vulnerability detection using chatgpt,

Reference 44

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source=pdf_text observed=2026-08-09T05:32:23.526600Z digest=sha256:d33688101bb6ca3a47884edcb61ffbb4cb2711eb30ce4bd0b91943e44dc3a415

Observation de7b023b-b7c3-4138-b261-b6889b1a8e01 · outbound

This paper cites Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives.

A Contemporary Survey of Large Language Model Assisted Program Analysis Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives

Reference 45

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source=pdf_text observed=2026-08-09T05:32:23.536439Z digest=sha256:d742ff76b8e7d85167179bd9350537bd9689d05839cc38c0a4329489e4b15d0f

Observation 3a4cc1da-b995-4a43-b7cf-323576089a20 · outbound

This paper cites Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution.

A Contemporary Survey of Large Language Model Assisted Program Analysis Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution

Reference 46

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source=pdf_text observed=2026-08-09T05:32:23.521490Z digest=sha256:ff4c7db66345a55599c73b2f8ac6ae64d79ecfade4192fc933094d0737e8a4a6

Observation 8cc68071-6ced-4311-b432-36b8452c005c · outbound

This paper cites Attention! your copied data is under monitoring: A systematic study of clipboard usage in android apps,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Attention! your copied data is under monitoring: A systematic study of clipboard usage in android apps,

Reference 47

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source=pdf_text observed=2026-08-09T05:32:23.546241Z digest=sha256:b0e38cd65eda64b51240ef0a4ba40c5d5d8f6af597a421c44c3071c7d721e1e9

Observation f3779da4-bfa9-495d-b1c4-39baf9031b05 · outbound

This paper cites Detecting and measuring aggressive location harvesting in mobile apps via data-flow path embedding,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Detecting and measuring aggressive location harvesting in mobile apps via data-flow path embedding,

Reference 48

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source=pdf_text observed=2026-08-09T05:32:23.550562Z digest=sha256:e3fc85fa60df736baaf9d475374ee294605db97ac8e2e3acbd2fdad6b76b3cf0

Observation 990856c8-d744-4da2-9f87-91f9dd0d26c0 · outbound

This paper cites Geo-locating drivers: A study of sensitive data leakage in ride-hailing services,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Geo-locating drivers: A study of sensitive data leakage in ride-hailing services,

Reference 49

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source=pdf_text observed=2026-08-09T05:32:23.554803Z digest=sha256:d928bf9db02ee224de6c37fd54659b14e8e4264aa81a9863d60c9e87609df53a

Observation bbd19842-f3e3-4860-855f-3313d2052252 · outbound

This paper cites LuaTaint: A Static Analysis System for Web Configuration Interface Vulnerability of Internet of Things Devices.

A Contemporary Survey of Large Language Model Assisted Program Analysis LuaTaint: A Static Analysis System for Web Configuration Interface Vulnerability of Internet of Things Devices

Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T05:32:23.541357Z digest=sha256:4fe8e0b2adf7d6b1c82c4da468c4c5318e0ca754ca8e983f543af5b0bebbfcaf

Observation 448ab96b-46a9-4d37-b26e-f85546bd7f48 · outbound

This paper cites Eavesdropping mobile app activity via {Radio-Frequency} energy harvest- ing,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Eavesdropping mobile app activity via {Radio-Frequency} energy harvest- ing,

Reference 51

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source=pdf_text observed=2026-08-09T05:32:23.563472Z digest=sha256:2df8b85ba54b1784ca2f7b9882d37a61e75d4e34b374dd87a8491f017f422ff7

Observation c6ace4f7-4114-4589-9418-aea4f964eec3 · outbound

This paper cites Exploiting contactless side channels in wireless charging power banks for user privacy inference via few-shot learning,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Exploiting contactless side channels in wireless charging power banks for user privacy inference via few-shot learning,

Reference 52

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source=pdf_text observed=2026-08-09T05:32:23.568042Z digest=sha256:a874b05c5a1fdef84dda2a9c4e9512e081e75ec661f6775d225a05d3ace199a0

Observation 6da69b9c-12bf-4f0c-bc35-c99371116813 · outbound

This paper cites Xporter: A study of the multi-port charger security on privacy leakage and voice injection,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Xporter: A study of the multi-port charger security on privacy leakage and voice injection,

Reference 53

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source=pdf_text observed=2026-08-09T05:32:23.572450Z digest=sha256:676bbc23893855664d9f8837d8800799db09ed1b99fdb436c3edb7a8da0315d6

Observation 273c00e2-0045-41e5-b821-4e4186587f9e · outbound

This paper cites On the accuracy of measured proximity of bluetooth-based contact tracing apps,.

A Contemporary Survey of Large Language Model Assisted Program Analysis On the accuracy of measured proximity of bluetooth-based contact tracing apps,

Reference 54

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source=pdf_text observed=2026-08-09T05:32:23.558859Z digest=sha256:7bb902c7fef1eaa9ba637bbd28a2946c976dec52cfddd761f93cac8e4bfac1c6

Observation 774ef0b8-f9ff-436d-be29-bcf898c9dc75 · outbound

This paper cites Automatic uncovering of hidden behaviors from input vali- dation in mobile apps,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Automatic uncovering of hidden behaviors from input vali- dation in mobile apps,

Reference 55

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source=pdf_text observed=2026-08-09T05:32:23.581810Z digest=sha256:86a131a44fe748f340c8c5c476d67d4fb4e989b75fc5c7387655f7f1c6e568c3

Observation 81fc4814-d2d7-4a0c-b506-b1d115d0d5d0 · outbound

This paper cites Llama: Open and efficient foundation language models,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Llama: Open and efficient foundation language models,

Reference 56

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source=pdf_text observed=2026-08-09T05:32:23.586344Z digest=sha256:6fe4deb7c9b30744f6c40a3f1030f101ea30c44eeefa69cda422a72c45c146a1

Observation 36e948b5-71cb-431f-b07a-2c6cf341dbc2 · outbound

This paper cites Itpatch: An invisible and triggered physical adver- sarial patch against traffic sign recognition,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Itpatch: An invisible and triggered physical adver- sarial patch against traffic sign recognition,

Reference 57

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source=pdf_text observed=2026-08-09T05:32:23.594793Z digest=sha256:2f169fda76c28b05994ded5b9d214e54a6215cb3863ee5f8db8ecae93299a907

Observation b5612471-5c11-4b85-8f47-8f88cee602e8 · outbound

This paper cites Sensor security in virtual reality: Exploration and mitigation,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Sensor security in virtual reality: Exploration and mitigation,

Reference 58

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source=pdf_text observed=2026-08-09T05:32:23.576971Z digest=sha256:8bd35f31530ae3794f2e81affd9ddab319b939037a7dd16d08700a0ff71aac1b

Observation d395689c-bf59-40d4-ae17-a49b17a08438 · outbound

This paper cites Periscope: Compre- hensive vulnerability analysis of mobile app-defined bluetooth peripherals,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Periscope: Compre- hensive vulnerability analysis of mobile app-defined bluetooth peripherals,

Reference 59

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source=pdf_text observed=2026-08-09T05:32:23.604205Z digest=sha256:5c529a54a45bcf5803551ae9586f1f6ae2d08d8ea24d51a5b8d8eda4926fdc65

Observation 904467e6-dff5-477a-81bd-825fa2235ece · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

A Contemporary Survey of Large Language Model Assisted Program Analysis UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 60

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source=pdf_text observed=2026-08-09T05:32:23.609065Z digest=sha256:0fd42efc168d0e3b45e841e9e9b76515eed0a083907d40a5490f8cebb4d52437

Observation b56e882a-924c-48d8-86f7-330a7df2b658 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

A Contemporary Survey of Large Language Model Assisted Program Analysis LLaMA: Open and Efficient Foundation Language Models

Reference 61

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source=pdf_text observed=2026-08-09T05:32:23.590599Z digest=sha256:291d883db41a79e60307377c31962a8525ea6433ab53bf4357946777b2dab8eb

Observation 25179f21-24b7-464f-a412-9d16bcb59a20 · outbound

This paper cites A comprehensive review on malware detection approaches,.

A Contemporary Survey of Large Language Model Assisted Program Analysis A comprehensive review on malware detection approaches,

Reference 62

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source=pdf_text observed=2026-08-09T05:32:23.662128Z digest=sha256:5753b85ec34aeb3cdfd296e55af8b4021706202f943a02473e54fa69dc9255b4

Observation 9c74adf0-d4fe-475b-889b-8fe5ac3c49b4 · outbound

This paper cites Swipepass: Acoustic- based second-factor user authentication for smartphones,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Swipepass: Acoustic- based second-factor user authentication for smartphones,

Reference 63

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source=pdf_text observed=2026-08-09T05:32:23.599604Z digest=sha256:adeed5cb4598993fb2efb9b47ae37cc21b8354163aa49828b81e49d9655b2202

Observation 0bea848c-1e62-45ea-a9e6-3be65888b8a3 · outbound

This paper cites Android malware detection using complex-flows,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Android malware detection using complex-flows,

Reference 64

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source=pdf_text observed=2026-08-09T05:32:23.737009Z digest=sha256:0474b3b8b2d032b4701cd40ceb55da5dda4f03b77d38c5dc70757b4906fd884a

Observation 625dc343-ae60-4628-8410-7a0ac1ff866f · outbound

This paper cites An- alyzing and detecting emerging internet of things malware: A graph-based approach,.

A Contemporary Survey of Large Language Model Assisted Program Analysis An- alyzing and detecting emerging internet of things malware: A graph-based approach,

Reference 65

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source=pdf_text observed=2026-08-09T05:32:23.778999Z digest=sha256:b66d9d11b7bd974951b872311f8569a3f045ebe6b1382da561c5f6577bf1cf33

Observation 38b9f1e3-a53a-4ddf-91ff-4c126aea612e · outbound

This paper cites Code llama: Open foundation models for code,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Code llama: Open foundation models for code,

Reference 66

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source=pdf_text observed=2026-08-09T05:32:23.624325Z digest=sha256:3c3b89a996d84f80f906bc72b6e72ec1386ef94ffdb0752b7db1ae8e7529e069

Observation ad46a5ce-57ab-4e7b-ac96-d77e9ad4b3db · outbound

This paper cites Amal: high- fidelity, behavior-based automated malware analysis and clas- sification,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Amal: high- fidelity, behavior-based automated malware analysis and clas- sification,

Reference 67

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source=pdf_text observed=2026-08-09T05:32:23.829669Z digest=sha256:41e484c9fa63013d385533f25ef4c1316fced69cf2cc94904c085918610383d4

Observation 27f81d2a-d7e0-4b58-8f4c-8e89a925b2c8 · outbound

This paper cites Graph-based comparison of iot and android malware,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Graph-based comparison of iot and android malware,

Reference 68

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source=pdf_text observed=2026-08-09T05:32:23.691660Z digest=sha256:f93e92506d1e39b2aafa6489ce1dd39011a5af0f349a3018e521f4e240dee77d

Observation 146c7f1e-524c-488d-b6d2-067474519df6 · outbound

This paper cites A Call for Clarity in Reporting BLEU Scores.

A Contemporary Survey of Large Language Model Assisted Program Analysis A Call for Clarity in Reporting BLEU Scores

Reference 69

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source=pdf_text observed=2026-08-09T05:32:23.893158Z digest=sha256:de4b432eb1587577c004179c0012cc316a10969ec111e807c0566ada73575c51

Observation 813421dd-a5a9-48e3-b367-0d99fe6fae80 · outbound

This paper cites ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks.

A Contemporary Survey of Large Language Model Assisted Program Analysis ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks

Reference 70

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source=pdf_text observed=2026-08-09T05:32:23.929958Z digest=sha256:06badcb1f68268a048b408a731a6e20dc48094db35b1a248304f6503b96111ff

Observation 1cf183f3-8771-4545-b470-8955119aa60f · outbound

This paper cites De- tecting and classifying android malware using static analysis along with creator information,.

A Contemporary Survey of Large Language Model Assisted Program Analysis De- tecting and classifying android malware using static analysis along with creator information,

Reference 71

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source=pdf_text observed=2026-08-09T05:32:23.812388Z digest=sha256:dba0e31f79d7502f807dbd22186894dbef4adb11b56657f318dc798433a6d8af

Observation 642cd72d-8cbf-433c-9680-874cd0b5eb2f · outbound

This paper cites Mistral 7B.

A Contemporary Survey of Large Language Model Assisted Program Analysis Mistral 7B

Reference 72

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source=pdf_text observed=2026-08-09T05:32:23.940741Z digest=sha256:f61538097bcc09e5ac8f76ea1711cdda20fa2558366816770a5a74f89a750fa7

Observation 496fb5c1-8d8a-46d1-875c-ce1a9d65c208 · outbound

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

A Contemporary Survey of Large Language Model Assisted Program Analysis Feasibility Study for Supporting Static Malware Analysis Using LLM

Reference 73

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source=pdf_text observed=2026-08-09T05:32:23.868310Z digest=sha256:ead1012bc1abee476e7a9fea4b7eff900e9d7e52b5e83e14ab2d28c9180ba948

Observation b27b13f9-64c3-429d-b857-30245588fecc · outbound

This paper cites Leveraging Large Language Models to Detect npm Malicious Packages.

A Contemporary Survey of Large Language Model Assisted Program Analysis Leveraging Large Language Models to Detect npm Malicious Packages

Reference 74

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source=pdf_text observed=2026-08-09T05:32:23.957301Z digest=sha256:c706b426049d55c69c6f7f6473afaab15aea00a8e6a324b2cb189e4c6758dfaa

Observation 82af6d38-99ed-4d85-ba4b-cb0d0900c702 · outbound

This paper cites Codeql: Github’s static analysis engine for code vulnerabilities,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Codeql: Github’s static analysis engine for code vulnerabilities,

Reference 75

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source=pdf_text observed=2026-08-09T05:32:23.962770Z digest=sha256:b5d7818be8a4b0223648de00abe4a8b84651f90cf88bc7a243e1d15fbc75f3c9

Observation 69a0050c-a8e2-471a-95a2-b1bb3713425a · outbound

This paper cites Benchmarking out of the box open-source llms for malware detection based on api calls sequences,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Benchmarking out of the box open-source llms for malware detection based on api calls sequences,

Reference 76

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source=pdf_text observed=2026-08-09T05:32:23.935503Z digest=sha256:c68b35be12c5ede849dc710758542298405785cd56e2d0b5419eeceb4fa33bdd

Observation 6e84bba1-a24b-4d60-9ae8-0d1a08d0d940 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Codebert: A pre-trained model for programming and natural languages,

Reference 77

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source=pdf_text observed=2026-08-09T05:32:23.972398Z digest=sha256:e11f745a4632af039e4420a2e6a2b82cd8e3885394b23bc5050057e1ca468ca7

Observation dbdfe2a3-c4a5-4177-b2a8-83d631d4cb3e · outbound

This paper cites Mixtral of experts,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Mixtral of experts,

Reference 78

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source=pdf_text observed=2026-08-09T05:32:23.946603Z digest=sha256:d71113110d5b0e6469ff9606462a68a9ee5c08ec3ae8120978be093e350314b4

Observation 5164811c-ede0-4673-9a07-ee671fe075fb · outbound

This paper cites Mixtral of Experts.

A Contemporary Survey of Large Language Model Assisted Program Analysis Mixtral of Experts

Reference 79

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source=pdf_text observed=2026-08-09T05:32:23.951864Z digest=sha256:147f5006fe0300f5d040e93d3e6d2d694f93fb79b313123cc269f732b404234a

Observation fe349a44-96cf-4125-95a9-005d5206b0c5 · outbound

This paper cites Selene: Pioneering Automated Proof in Software Verification.

A Contemporary Survey of Large Language Model Assisted Program Analysis Selene: Pioneering Automated Proof in Software Verification

Reference 80

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source=pdf_text observed=2026-08-09T05:32:23.992990Z digest=sha256:5f9c04b961b6cda9ca456ada81ed4931649c729277661819484cbe77de7755bd

Observation c74f8f00-67fc-4f70-b73c-c89c6057ea24 · outbound

This paper cites Ranking LLM-Generated Loop Invariants for Program Verification.

A Contemporary Survey of Large Language Model Assisted Program Analysis Ranking LLM-Generated Loop Invariants for Program Verification

Reference 81

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source=pdf_text observed=2026-08-09T05:32:23.998205Z digest=sha256:a55b2c4b6d101f0044500e67d75f479d06b88ce0d43f228729555e3bb4da2e95

Observation 7078482b-f493-4156-90f1-b1a5944e10cd · outbound

This paper cites A structural-semantic approach integrating graph-based and large language models represen- tation to detect android malware,.

A Contemporary Survey of Large Language Model Assisted Program Analysis A structural-semantic approach integrating graph-based and large language models represen- tation to detect android malware,

Reference 82

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source=pdf_text observed=2026-08-09T05:32:23.967859Z digest=sha256:3a746499d35b82ebeed9bfb6510d2a0d13b0bd32e9ae8b73d167a5499daa4d56

Observation ff92dd56-9226-43ad-953b-82a432d206d4 · outbound

This paper cites Llm-generated invariants for bounded model checking without loop unrolling,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Llm-generated invariants for bounded model checking without loop unrolling,

Reference 83

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T05:32:24.007994Z digest=sha256:900ddcfb260bfaa316dbcc15673db2d49b16fb7d682b0e293a172ee090bbf8ff

Observation fba1c2b0-7e24-4319-ab3f-8317ec64f756 · outbound

This paper cites Llm meets bounded model checking: Neuro- symbolic loop invariant inference,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Llm meets bounded model checking: Neuro- symbolic loop invariant inference,

Reference 84

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source=pdf_text observed=2026-08-09T05:32:24.012824Z digest=sha256:bcf5de2f4c8c10e0b1c3379b7fa92003cbbd8b314045f9cbb5e7efe7cdf87ac0

Observation a9d9195d-8430-42be-ab70-c30b9b05aafd · outbound

This paper cites AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering.

A Contemporary Survey of Large Language Model Assisted Program Analysis AppPoet: Large Language Model based Android malware detection via multi-view prompt engineering

Reference 85

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source=pdf_text observed=2026-08-09T05:32:23.982567Z digest=sha256:e168dcf7f479a1b361f4951be2bb14b4800e946f5badc304f982505952c20fe9

Observation d69ac153-f664-461a-b9c4-6b30bb674a8b · outbound

This paper cites Coqpilot, a plugin for llm-based generation of proofs,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Coqpilot, a plugin for llm-based generation of proofs,

Reference 86

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source=pdf_text observed=2026-08-09T05:32:23.987605Z digest=sha256:f5de4fe1f609492662a7b65b68b09a3036de3e4cc6b1294883479f0cc6d7d91e

Observation 96d2615d-b9a1-4454-a633-6eee2a161e49 · outbound

This paper cites Lemur: Integrating large language models in automated program verification,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Lemur: Integrating large language models in automated program verification,

Reference 87

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source=pdf_text observed=2026-08-09T05:32:24.037249Z digest=sha256:ac78778a181c797ac26e00b0fa54e7ecdcc65981478f5beb80a47527135a4ac6

Observation ab5d24bf-d9d9-4894-b888-4060440d74b9 · outbound

This paper cites Towards automated verification of llm-synthesized c programs,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Towards automated verification of llm-synthesized c programs,

Reference 88

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source=pdf_text observed=2026-08-09T05:32:24.105586Z digest=sha256:893ae1daac0f9f0ae195eeed6bb13f0eeab62d7f6f2db42c16882e12cd3dcec5

Observation b4009241-f3bc-418c-bb4a-9b52b5b95736 · outbound

This paper cites Can chatgpt support software verification?.

A Contemporary Survey of Large Language Model Assisted Program Analysis Can chatgpt support software verification?

Reference 89

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source=pdf_text observed=2026-08-09T05:32:24.003519Z digest=sha256:cba1dba38ab8b0442029be2d81e39901e69cfa1194047142d1466d3d4d701577

Observation cdc3fd9c-bde4-4a69-9dff-47532bd72e59 · outbound

This paper cites Python Symbolic Execution with LLM-powered Code Generation.

A Contemporary Survey of Large Language Model Assisted Program Analysis Python Symbolic Execution with LLM-powered Code Generation

Reference 90

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source=pdf_text observed=2026-08-09T05:32:24.190024Z digest=sha256:8cb64a8cff50a5e5a7c1193c82d051f0f1774e569d84e4843cff27b70c20748a

Observation 4e5e5baf-b4ac-4a7e-a884-70428fa58fc9 · outbound

This paper cites Cfstra: Enhancing configurable program analysis through llm-driven strategy selection based on code features,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Cfstra: Enhancing configurable program analysis through llm-driven strategy selection based on code features,

Reference 91

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doi, observed 2026-08-09T05:32:25.368323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T05:32:24.217335Z digest=sha256:0d9da14eb6829260c09fcdd0411863fe3327f859bc7b079457deb43367df9a71

Observation 92da25d9-6492-48da-bfc1-9db48c739ca6 · outbound

This paper cites Can large language models reason about program invariants?.

A Contemporary Survey of Large Language Model Assisted Program Analysis Can large language models reason about program invariants?

Reference 92

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source=pdf_text observed=2026-08-09T05:32:24.017740Z digest=sha256:3cdd548641c8f794d980a36b6d31d4515ff7cc48d86c88bfab3fff739de00f94

Observation bcb5e584-17a3-4117-a06c-94d552527ccf · outbound

This paper cites Enchanting program specification synthesis by large language models using static analysis and program verification,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Enchanting program specification synthesis by large language models using static analysis and program verification,

Reference 93

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source=pdf_text observed=2026-08-09T05:32:24.022490Z digest=sha256:c880babee54c04b8b42339fc6c564b1cbed51ce3d8b9e3b2570bad627e80460d

Observation 77f9bb28-29da-4cc9-8c65-a00c7a10ee20 · outbound

This paper cites Hammer for coq: Automation for dependent type theory,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Hammer for coq: Automation for dependent type theory,

Reference 94

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source=pdf_text observed=2026-08-09T05:32:24.245049Z digest=sha256:949f40666047b064989d85646cd1708fc66bf638979f3bef1162e050f5d63f94

Observation e430268f-f299-4602-8b29-f2060742701e · outbound

This paper cites Lemur: Integrating Large Language Models in Automated Program Verification.

A Contemporary Survey of Large Language Model Assisted Program Analysis Lemur: Integrating Large Language Models in Automated Program Verification

Reference 95

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source=pdf_text observed=2026-08-09T05:32:24.074471Z digest=sha256:e447366d4d79327827e6fe72889e018ada4667f10734da40974a9ca60a5b8fec

Observation e72e29c1-d8a4-424c-ad67-6086fe1f8448 · outbound

This paper cites Comprehensive formal verification of an os microkernel,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Comprehensive formal verification of an os microkernel,

Reference 96

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source=pdf_text observed=2026-08-09T05:32:24.255024Z digest=sha256:20c769dc89d1578b792bbdd386153756e631793327e27869b5ed9a35809cf837

Observation 291be9d8-f334-4f7f-ab92-ac40b80961a3 · outbound

This paper cites Propertygpt: Llm-driven formal verification of smart contracts through retrieval-augmented property generation,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Propertygpt: Llm-driven formal verification of smart contracts through retrieval-augmented property generation,

Reference 97

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source=pdf_text observed=2026-08-09T05:32:24.133073Z digest=sha256:7e46eeeabdb78e0ef58a9d7150bc3ebb5ea1f1f42c2968e4f484dc268c207583

Observation 34ec73fd-8c98-42e7-b8dd-cce10c4b0df0 · outbound

This paper cites PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation.

A Contemporary Survey of Large Language Model Assisted Program Analysis PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation

Reference 98

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source=pdf_text observed=2026-08-09T05:32:24.163759Z digest=sha256:181f6f11f9370ef8967fdd28b5fb9090b625168e26cc929e4650b68b732c00fc

Observation 39e521e7-02ef-4679-8520-4e645878f417 · outbound

This paper cites Baudin, J.-C.

A Contemporary Survey of Large Language Model Assisted Program Analysis Baudin, J.-C

Reference 99

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source=pdf_text observed=2026-08-09T05:32:24.270856Z digest=sha256:3996c90ba97deb5132eaef8984910d40fa42555fc9a1474602cdd035fdf676ba

Observation 5cb7222b-34be-41ae-96a2-e0c1e532a626 · outbound

This paper cites The dogged pursuit of bug-free c programs: the frama-c software analysis platform,.

A Contemporary Survey of Large Language Model Assisted Program Analysis The dogged pursuit of bug-free c programs: the frama-c software analysis platform,

Reference 100

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source=pdf_text observed=2026-08-09T05:32:24.276006Z digest=sha256:1a3bb3e9dbce93d599f2494fc6f5a6191f765f3f2933932c04c2cf4c6fcedfa3

Observation d67ca60c-c0f5-45ea-b945-3b8ed8e054f2 · outbound

This paper cites Interleaving static analysis and llm prompting,.

A Contemporary Survey of Large Language Model Assisted Program Analysis Interleaving static analysis and llm prompting,

Reference 101

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arxiv_id_nonexistent, observed 2026-08-09T05:32:27.858045Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T05:32:24.232703Z digest=sha256:3027adae0b5e7ab5f95520e64473bf6e899eb9a492822aaf44bdabb112b113d0

Pith citing papers

Observation 2cf6fce8-d3dd-4291-b963-e28dc87af75f · inbound

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection cites this paper.

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 37

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no resolver link, observed 2026-08-06T11:21:38.174929Z

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source=pdf_text observed=2026-08-06T11:21:38.174929Z digest=sha256:2e2bcdc803d57e8f2d092126814f7f2bcf361f46413409fcaaa88dce24d0c7f3

Observation 5fb83f76-c932-4c18-b4b0-95b646a4152b · inbound

LLM as an Execution Estimator: Recovering Missing Dependency for Practical Time-travelling Debugging cites this paper.

LLM as an Execution Estimator: Recovering Missing Dependency for Practical Time-travelling Debugging A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 48

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source=pdf_text observed=2026-08-05T16:20:46.964121Z digest=sha256:7e9d74ac0cb65850d72966fc985b036336350d83809c7d4576d397c6afe903d4

Observation 3060c0d0-fd5e-436a-8627-5b9ed847f0cf · inbound

ATLAS: Multi-View Code Representation Tool for C and C++ Source Programs cites this paper.

ATLAS: Multi-View Code Representation Tool for C and C++ Source Programs A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 30

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source=pdf_text observed=2026-08-03T16:42:14.026126Z digest=sha256:897964c05c162f75dd0859ec7d60007c3ebafc49d304928999d0714288ac9eb3

Observation e66ee93b-bbe2-4223-91bb-90aad6cccaa6 · inbound

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents cites this paper.

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 1

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T08:03:11.421470Z digest=sha256:9f0e8088a1f745c11be9aa3b37bae96d4b2e6b2865ce8c8abe08d95eaedd9e2f

Observation 4ce2aa37-7f7f-49a9-a54d-f3e5c2a2fc5c · inbound

Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning Capability cites this paper.

Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning Capability A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 45

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arxiv_id, observed 2026-06-29T11:53:23.728771Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T11:50:10.442661Z digest=sha256:47b2d599fa5bc1b993cc56060300279dc5fce5c1b78d32d4a5253f013062307f

Observation 06eb42ff-2a7c-4b34-af2f-3c89b0daf26d · inbound

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents cites this paper.

Detecting Vulnerability-Inducing Commits via Multi-Stage Reasoning with LLM-Based Agents A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 35

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-09T00:44:40.966801Z digest=sha256:38a7227a265b8361bf4e199a0ffb87e49339b3a942167fea4d07bbb793ef69a6

Observation aac4879f-db81-4372-8ca2-23371fe3ec05 · inbound

Mystra: Declarative Dynamic Taint Analysis via Shadow Virtual Machine cites this paper.

Mystra: Declarative Dynamic Taint Analysis via Shadow Virtual Machine A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 8

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source=pdf_text observed=2026-08-02T06:39:54.630323Z digest=sha256:55991894dac6ce36c2d43f5b7d56639a2d659c013eaf129b08b4698db70eb970

Observation eaecbda1-1226-428c-8a67-3a46b130ca3c · inbound

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection cites this paper.

Hiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection A Contemporary Survey of Large Language Model Assisted Program Analysis

Reference 106

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source=arxiv_source observed=2026-07-31T23:55:34.759326Z digest=sha256:d0e03aa5eafd05887843d7bd0accc007c7a84cfa43a92a198d76fcd8ca6366d7