OPEN-ACCESS DIGITAL PRESERVATION CORPUS · CC BY 4.0 · GOOGLE SCHOLAR & DATACITE INDEXED

Longitudinal Web Archive Reconstruction, Stylesheet Decay & Historical DOM Preservation (1996–2026)

Prepared for digital preservation researchers, web-archiving librarians, computational social scientists, and search infrastructure engineers. This open-access repository documents empirical stylesheet decay rates (HTTP 404 CSS/JS attrition), legacy character encoding drift (windows-1251, koi8-r, shift_jis → UTF-8), third-party tracker detoxification, and automated DOM layout recovery across 16 CMS cohorts in the Internet Archive Wayback Machine.

Mean Raw CSS 404 Rate
61.4%

Unreconstructed Wayback captures with missing cache-busted CSS

Reconstructed DOM Fidelity
97.6%

Post-recovery layout & stylesheet integrity (Engine v38)

Footprints Detoxified
25+ Classes

Legacy analytics, ad beacons, counters & archive toolbars

Open License
CC BY 4.0

Free for university syllabi, digital libraries & NLP corpora

1. Open-Access Technical Reports & Working Papers (PDF)

WF-TR-2026-01

Longitudinal Web Archive Reconstruction & Stylesheet Decay

Empirical study of cache-busted CSS/JS rot across WordPress, OpenCart, Joomla, Bitrix, and Drupal captures, and CDN-backed DOM reconstruction.

Download PDF Report
WF-TR-2026-02

Legacy Character Encoding Normalization & Tracker Detox

Deterministic byte-stream transcoding for windows-1251, koi8-r, and shift_jis archives and AST removal of 25+ historical tracker classes.

Download PDF Report
WF-TR-2026-03

Multi-Region CDX Playback & Link-Graph Continuity

Sparkline HTTP status-map analysis for anti-parking snapshot selection and standalone static packaging (.htaccess, Nginx, Edge Workers).

Download PDF Report

2. Empirical CMS Archival Survival & DOM Reconstruction Benchmark (1999–2025)

#CMS / Architecture CohortEraCharsetRaw CSS 404Reconstructed CSSTrackers StrippedDOM FidelityModule
01WordPress + Astra + Elementor2021-2025UTF-864%99%1498%Inspect
02WordPress + WooCommerce Store2020-2025UTF-858%98%1997%Inspect
03WordPress + ColorMag Magazine2019-2025UTF-871%99%1699%Inspect
04OpenCart + UniShop2 + BusCache2022-2025UTF-852%99%1197%Inspect
05Legacy HTML4 Frameset Portal2001-2012windows-125182%96%995%Inspect
061C-Bitrix Corporate & Catalog2014-2024windows-125149%97%1896%Inspect
07Joomla 3.x / K2 Academic Portal2013-2022UTF-861%97%1296%Inspect
08Drupal 7 / 9 Institutional Site2012-2023UTF-855%98%1097%Inspect
09DataLife Engine (DLE) Media Portal2010-2021windows-125167%96%2295%Inspect
10MODX Revolution Regional News2015-2024UTF-844%98%1598%Inspect
11WordPress + GeneratePress Blog2018-2025UTF-869%99%1399%Inspect
12WordPress + OceanWP E-Commerce2019-2024UTF-863%98%1797%Inspect
13Static Bootstrap 4/5 Landing Hub2017-2025UTF-838%99%899%Inspect
14Legacy KOI8-R Academic Archive1999-2009koi8-r77%95%694%Inspect
15Shift_JIS / EUC-JP Regional Portal2004-2018shift_jis73%96%1195%Inspect
16PrestaShop 1.7 Multi-Category Store2016-2024UTF-859%97%2096%Inspect

Load Directly in Python, pandas & Hugging Face

All benchmark tables are served with CORS headers enabled and zero authentication required for reproducible research pipelines:

import pandas as pd

# Load UTF-8 Benchmark CSV directly
df = pd.read_csv("https://wayforge.org/api/research/dataset.csv")
print(df[["cms_family", "raw_css_404_rate", "dom_fidelity_score"]])

# Or load JSONL stream in Hugging Face datasets
from datasets import load_dataset
ds = load_dataset("json", data_files="https://wayforge.org/api/research/dataset.jsonl")

Official Citation (APA 7th & BibTeX)

APA 7th:WayForge Digital Web Preservation & Archival Reconstruction Lab. (2026). Longitudinal web archive reconstruction, stylesheet decay, and historical DOM preservation across 1996–2026 CDX captures (Technical Report WF-TR-2026-01). WayForge Research. https://wayforge.org/research

@techreport{wayforge2026reconstruction,
  title       = {Longitudinal Web Archive Reconstruction, Stylesheet Decay, and Historical DOM Preservation Across 1996--2026 CDX Captures},
  author      = {{WayForge Digital Web Preservation \& Archival Reconstruction Lab}},
  institution = {WayForge Research Lab},
  year        = {2026},
  month       = oct,
  number      = {WF-TR-2026-01},
  url         = {https://wayforge.org/research},
  note        = {Open-Access Benchmark Dataset and Automated DOM Reconstruction Engine (CC BY 4.0). Available at https://wayforge.org/research}
}

@misc{wayforge2026dataset,
  title        = {WayForge 2026 Historical Web Preservation \& DOM Reconstruction Benchmark Dataset (1996--2026)},
  author       = {{WayForge Digital Web Preservation \& Archival Reconstruction Lab}},
  year         = {2026},
  howpublished = {\url{https://wayforge.org/api/research/dataset.csv}},
  note         = {Creative Commons Attribution 4.0 International (CC BY 4.0). Documentation: https://wayforge.org/docs}
}

3. Permanent Institutional Repositories, DataCite DOIs & Academic Mirrors

The WayForge 2026 Longitudinal Web Archive Reconstruction Corpus and Working Papers are permanently deposited across university, governmental, and international scientific repositories:

4. Interactive Archival & Reconstruction Modules