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Publishing Cadence Summary

Looking for a single place to trace how the notebook has evolved? This reference page aggregates every post that landed on the site, sliced by month, quarter, half-year, and full year. Use it to spot clusters of research, follow multi-part series, or plan what to read next.

Monthly Rollup

May 2024 — 2 posts

September 2024 — 9 posts

October 2024 — 1 post

December 2024 — 1 post

January 2025 — 3 posts

February 2025 — 10 posts

March 2025 — 2 posts

September 2025 — 4 posts

October 2025 — 2 posts

Quarterly Rollup

  • 2024 Q2 (Apr–Jun) — 2 posts launching the site and documenting the learning pipeline in May.
  • 2024 Q3 (Jul–Sep) — 9 posts that build the Kalman Filtering series end-to-end, capped by a MathJax rendering check.
  • 2024 Q4 (Oct–Dec) — 2 posts mixing affective semantics with a look at OCR’s leap from Tesseract to transformers.
  • 2025 Q1 (Jan–Mar) — 17 posts spanning optimization math, language studies, the C++ futures trilogy, SIMD/GPU programming, tensor indexing, and a multi-part sampling primer.
  • 2025 Q3 (Jul–Sep) — 4 posts blending vision research write-ups with a language usage study.
  • 2025 Q4 (Oct–Dec) — 2 posts advancing sampling theory and panoptic segmentation insights.

Semiannual Rollup

  • 2024 H1 (Jan–Jun) — 2 foundational posts laying out the project mission and note-taking workflow.
  • 2024 H2 (Jul–Dec) — 11 posts focused on probabilistic state estimation, affective semantics, and the evolution of OCR tooling.
  • 2025 H1 (Jan–Jun) — 17 posts covering advanced calculus, optimization, C++ concurrency, SIMD/GPU programming, tensor indexing, and sampling methods.
  • 2025 H2 (Jul–Dec) — 6 posts summarizing vision research and probabilistic modeling extensions.

Annual Rollup

  • 2024 — 13 posts: From the site introduction to a comprehensive Kalman Filtering curriculum, affective vocabulary studies, and a survey of OCR advances.
  • 2025 — 23 posts: Deep dives into color science, optimization, functional analysis, C++ concurrency, SIMD/GPU programming, tensor indexing, sampling theory, and computer vision research notes.

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