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BibTeX — Notes on Information Entropy (.bib)

Companion BibTeX file for the entropy LaTeX article — fictional SAMPLE citation.

Editor testing
Preview — first 10 linesbib
@article{entropy2026,
  author  = {Ada Sample and Alan Example},
  title   = {Notes on Information Entropy},
  journal = {Novus SAMPLE Transactions},
  year    = {2026},
  volume  = {1},
  pages   = {1--4},
  note    = {Fictional SAMPLE citation}
}

Specifications

Entries
1
Key
entropy2026
Suite
wave-e

What is a .bib file?

BibTeX (.bib) is a plain-text bibliography database used with LaTeX and reference managers. Each entry has a type (@article, @book, @inproceedings), a citation key, and tagged fields like author, title, year, and journal. It is the standard citation format in academic writing.

How to use this file

Use an example .bib file to test BibTeX and BibLaTeX parsers, reference managers (Zotero, Mendeley, JabRef), and citation-format converters (for example BibTeX to RIS or CSL-JSON).

How to use this file for testing

“BibTeX — Notes on Information Entropy (.bib)” is a deterministic Novus Examples fixture for Editor testing. Text-based files you can open, edit, and download directly in the browser editor.

Documented properties for this file: 1 entries. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

import bibtexparser  # pip install bibtexparser

lib = bibtexparser.parse_file("entropy.bib")
for e in lib.entries[:5]:
    print(e.key, "-", e.fields_dict.get("title"))

Related files

Generated by generation/docs_wave_e.py. Free for any use, no attribution required — license.