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Paper

Codee: A Tensor Embedding Scheme for Binary Code Search

by Independent / Community 02f5f13de274c237042ef5df6ed14ff16639722d
Free2AITools Nexus Index
69.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 85
P: Popularity 61
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance

Given a target binary function, the binary code search retrieves top-K similar functions in the repository, and similar functions represent that they are compiled from the same source codes. Searching binary code is particularly challenging due to large variations of compiler tool-chains and options and CPU architectures, as well as thousands of binary codes. Furthermore, there are some pivotal issues in current binary code search schemes, including inaccurate text-based or token-based analys...

Semantic Scholar 61 Citations
Paper Information Summary
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Registry ID 02f5f13de274c237042ef5df6ed14ff16639722d
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX
@misc{02f5f13de274c237042ef5df6ed14ff16639722d,
  author = {Unknown},
  title = {Codee: A Tensor Embedding Scheme for Binary Code Search Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/02f5f13de274c237042ef5df6ed14ff16639722d}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Codee: A Tensor Embedding Scheme for Binary Code Search [Paper]. Free2AITools. https://api.semanticscholar.org/02f5f13de274c237042ef5df6ed14ff16639722d

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 85
Popularity (P) 61
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Codee: A Tensor Embedding Scheme for Binary Code Search: Authority (A:85), Popularity (P:61), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"Given a target binary function, the binary code search retrieves top-K similar functions in the repository, and similar functions represent that they are compiled from the same source codes. Searching binary code is particularly challenging due to large variations of compiler tool-chains and options and CPU architectures, as well as thousands of binary codes. Furthermore, there are some pivotal issues in current binary code search schemes, including inaccurate text-based or token-based analys..."

❝ Cite Node

@article{Unknown2026Codee:,
  title={Codee: A Tensor Embedding Scheme for Binary Code Search},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ61CitationsSemantic Scholar
πŸ›οΈ85AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈknowledge retrievalField
πŸ“¦Data Source: semantic_scholar
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πŸ†” Identity & Source

source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

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null
params billions
null
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citations
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