Tensorgami is a public mathematical workbench for proof notes, expository reconstructions, problem sets, and Lean-checked formalizations. Some entries record new arguments, extraction formulas, or finite certificates; others rebuild known results to make the mechanism explicit.
The archive emphasizes mechanism-level mathematics: explicit reductions, normal forms, concrete decompositions, finite certificates, algorithmic structure, and formal verification when it clarifies the argument. Individual entries identify their contribution type so new constructions, independent solutions, expository reconstructions, problem sets, and Lean-checked formalizations are distinguished locally.
The site is published with GitHub Pages at:
https://tensorgami.com
The repository is intentionally simple:
index.html: homepage and archiveabout.html: about page, external links, and selected problem recordsmechanisms.html: mechanism mapverification.html: verified artifacts, theorem names, and Lean checksprivacy.html: analytics disclosure and browser opt-outlicense.html: reuse termsnotes/: HTML landing pages for selected notesstyles.css: global stylingpdfs/: mathematical PDFstex/: LaTeX sources for selected PDFsformalizations/: Lean sourcesportfolio.json,llms.txt: machine-readable summariesscripts/check_internal_links.py: internal link check for site pagesscripts/check_pdf_metadata.py: metadata check for public PDFs.github/workflows/: Lean checksLICENSE.md: reuse terms
No build system is needed for the static site; GitHub Pages serves the files directly, while GitHub Actions checks the Lean formalizations separately.
Each Lean formalization is an independent Lake project. For example:
cd formalizations/pointwise-weighting
lake exe cache get
lake buildThe same pattern applies in the other formalizations/* directories. The
formalization index gives the corresponding theorem names and build targets:
formalizations/README.md
Internal site links can be checked with:
python3 scripts/check_internal_links.pyPDF metadata can be checked with:
python3 scripts/check_pdf_metadata.pyContact: hkshin@alumni.harvard.edu.
Selected problem records are listed on the About page, including the Bilkent Mathematical Problem of the Month, November 2008, and IBM Ponder This records from July and August 2010. Planned expositions or Lean formalizations are identified as planned, not as existing verified artifacts.
Privacy and reuse terms are published at privacy.html, license.html, and LICENSE.md.