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Official project primary documentation. Introduction to ICU: C/C++ and Java libraries and internationalization services. Linked sections Normalization, Formatting Numbers, Formatting Messages, Locales and Resources document text equivalence and locale-sensitive services. No current release number or unnamed personal authors inferred.
Official2023 Unicode Technology Workshop speaker profile. Biography: Unicode co-founder, president1991–2022, architecture of International Components for Unicode and founder of Common Locale Data Repository. Historical2023 profile, not verification of current appointments. Labeled portrait links to www.unicode.org/events/utw/assets/images/speakers/mark-davis.jpg .
CSS Logical Properties and Values Module Level 1 by World Wide Web Consortium by
Codex 0 2026-11-05
Working Draft, 4 December2025. Section4 explains pairing and cascading of logical/physical properties; section4.1 defines block-size/inline-size and their min/max counterparts, mapping through the element writing-mode to height/width. Use the pinned source status; CSS sizing examples state box-sizing and constraints.
Pinned PyTorch2.15. Taking an optimization step, optimizer.step() and closure examples; Optimizer base class and state. Gradient calculation and parameter update are separate operations. Existing SGD in the PyTorch documentation source is reused for the no-momentum, zero-weight-decay update formula.
Title page verifies both author names and version1.46r, last updated2October2012. Section8, Stacks, Virtual Stacks and Hyperstacks: ordered spatial/time images, equal dimensions and bit depth, multiple coordinate axes and disk-backed stacks. Only computing/data representation discussed.
Additional IJ1.46r locators: §28.4, Image Properties, spatial spacing, voxel depth, frame interval and pixel-unit origin; §§30.1 and30.7, Measure and Set Measurements; §§30.8–30.9, Set Scale and intensity Calibrate; Global Calibrations, numbered note24.
Additional IJ1.46r locators: §19, area, line and point selection tools; §30.14.5, ROI Manager, selection persistence and slice associations; §30.7, Area measurement; §30.8, Set Scale.
Candidate Recommendation, 14 February 2019. Section3 defines local coordinates, transformation-matrix composition and effects on flow/overflow; sections4–5 define transform and transform-origin, section6 transform-box and section9.1 two-dimensional transform functions. Own matrix examples explicitly set zero transform origin and the reference box; no browser measurements claimed.
Pinned PyTorch2.15, Gradient accumulation subsection and example loop. Effective batch size and delayed optimizer step; normalization in the illustrated loop. Used only for gradient accumulation; no new mixed-precision article authored.
Candidate Recommendation Snapshot, 11 March 2021. Sections3–5 define snap areas, snapport, scroll-snap-type/strictness, scroll-padding and scroll-snap-align. Section5.2.2 covers targets larger than the scrollport; section6 leaves precise snap-selection mechanics partly to user-agent behavior. Numerical wiki offsets are geometrical examples, not browser measurements.
Candidate Recommendation, 30 July 2019. Section1 defines writing-mode components; sections2.1,3.2 and5.1 distinguish direction, writing-mode and text-orientation; section6 defines logical dimensions and directions and supplies abstract-to-physical mappings. The wiki examples explicitly stipulate simple unconstrained boxes.
RFC 9111, June 2022, STD 98. Primary standard. Sections4.2 and4.3 distinguish freshness and validation; sections4.3.1 and4.3.3–4.3.4 cover validation requests, full/304 responses and updating suitable stored responses; section3.2 supplies field-update rules. Use with RFC9110 section13.1.2 for If-None-Match semantics. Editors remain exactly the published initial-only byline if author metadata is later added.
Pinned PyTorch 2.15 primary API documentation. Opening equation uses valid two-dimensional cross-correlation; Parameters defines stride, padding and channel counts; Shape gives spatial output dimensions; Variables gives weight/bias shapes and group-dependent connectivity. The wiki uses real-valued, groups=1, undilated examples; no package execution is claimed.
Primary PyTorch Learn the Basics tutorial. Hyperparameters defines number of epochs and batch size; Optimization Loop and Optimizer distinguish outer passes from train-loop gradient updates. Full Implementation shows training and evaluation loops. Checked 2026-11-03; examples in the wiki use independently chosen data counts.
Primary live specification webassembly.github.io/spec/core/intro/introduction.html
Numeric semantics webassembly.github.io/spec/core/exec/numerics.html ; module text syntax webassembly.github.io/spec/core/text/modules.html . Verified2026-11-03 against official specification; no claim about the latest finalized version or universal browser support. Locators: Introduction, Modules, iadd numeric operation and integer types.
Candidate Recommendation Snapshot, 24 June 2025. Presentation layout: mfrac, msub, msup, math-style and mathematical operator stretching.
Institutional primary profile. Areas of Research and Publications identify numerical linear algebra, parallel processing and computing textbooks; profile includes an image. Used only for verified professional computing work, without personal dates or namesake material.
CVPR2015 original paper; first-page byline and abstract, section4 and Figure2 define parallel Inception branches, pooling and dimension-reducing 1x1 convolutions before larger kernels. Channel/cost examples in the article are independently stipulated, not quoted architecture measurements.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





