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ZENODO
Dataset . 2026
Data sources: ZENODO
ZENODO
Dataset . 2026
Data sources: Datacite
ZENODO
Dataset . 2026
Data sources: Datacite
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Dataset to "Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints"

Authors: Jan, Pennekamp; Johannes, Lohmöller; David, Schütte; Joscha, Loos; Martin, Henze;

Dataset to "Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints"

Abstract

Artifact: Hidden Secrets in the arXiv Publication Jan Pennekamp, Johannes Lohmöller, David Schütte, Joscha Loos, and Martin Henze. 2026. Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints. In Proceedings of the 47th IEEE Symposium on Security and Privacy (SP '26). IEEE. Contents paper_issues.csv.gzAggregated per-paper results of identified unintentional information disclosures. Paper identifiers are anonymized using HMAC-SHA256 as described below. Version 0 refers to s3-provided data that carries timestamps, but no exact version information. survey.mdUser study instrument as deployed via SoSci Survey, including question texts and response options. classification_prompt.txtPrompt used with Qwen2.5-72B to classify identified comments into disclosure categories. example.tex / example.bibSynthetic LaTeX file containing sanitization test cases covering representative disclosure patterns. Anonymization Scheme Paper identifiers in `paper_issues.csv` are anonymized using HMAC-SHA256 with a secret key. The scheme preserves the arXiv identifier structure (category prefix and numeric suffix) while replacing the numeric part with a 6-character hex digest. import hmac import hashlib def anonymize_arxiv_id(arxiv_id): if '.' not in arxiv_id and '/' not in arxiv_id: hmac_hash = hmac.new(secret, arxiv_id.encode('utf-8'), hashlib.sha256).hexdigest() return f"{hmac_hash[:6]}" if '/' in arxiv_id: prefix, suffix = arxiv_id.split('/', 1) else: prefix, suffix = arxiv_id.split('.', 1) hmac_hash = hmac.new(secret, suffix.encode('utf-8'), hashlib.sha256).hexdigest() return f"{prefix}/{hmac_hash[:6]}" Sanitizer The sanitizer tool (ALC-NG) used to prevent unintentional disclosure in LaTeX source files is available at: https://github.com/COMSYS/ALC-NG

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average