<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet href="/static/feeds/rss.42666a0a4f7b.xsl" media="screen" type="text/xsl"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Architextual — Posts tagged “Citations”</title><link>https://architextual.net/tags/citations/</link><description>Posts tagged “Citations”.</description><atom:link href="https://architextual.net/feed/tag/citations/" rel="self"/><language>en-us</language><lastBuildDate>Wed, 16 Sep 2026 15:50:53 +0000</lastBuildDate><item><title>Lorem Ipsum Citations</title><link>https://architextual.net/posts/lorem-ipsum-citations/</link><description>&lt;section class="block level1" data-level="1" data-slug="bibliography-citations-reference" id="bibliography-citations-reference"&gt;
&lt;h1 class="heading" data-level="1" data-slug="bibliography-citations-reference" id="bibliography-citations-reference"&gt;&lt;a href="#bibliography-citations-reference" rel="noopener noreferrer" title="Link to section: § 'Bibliography &amp;amp; Citations Reference'"&gt;Bibliography
&amp;amp; Citations
Reference&lt;/a&gt;&lt;/h1&gt;
&lt;p class="block first-graf intro-graf dropcap"&gt;&lt;span class="dropcap-letter"&gt;T&lt;/span&gt;his post serves as both a working example and complete documentation
of the bibliography and citation system. Every citation syntax variant,
locator type, and rendering behavior is demonstrated with real sources.
The references section at the bottom of this post is auto-generated from
the citations used throughout the text. How is this? Modifying to add
features, again! And, again! One more! Test&lt;/p&gt;
&lt;section class="block level2" data-level="2" data-slug="prerequisites-creating-the-sources-in-django-webapp" id="prerequisites-creating-the-sources-in-django-webapp"&gt;
&lt;h2 class="heading" data-level="2" data-slug="prerequisites-creating-the-sources-in-django-webapp" id="prerequisites-creating-the-sources-in-django-webapp"&gt;&lt;a href="#prerequisites-creating-the-sources-in-django-webapp" rel="noopener noreferrer" title="Link to section: § 'Prerequisites: Creating the Sources in Django, webapp'"&gt;Prerequisites:
Creating the Sources in Django,
webapp&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;Before this post will render correctly, the following sources must
exist in &lt;strong&gt;Admin &amp;gt; Engine &amp;gt; Sources&lt;/strong&gt;. You can create
them manually or import them from Zotero. For each source, leave the
&lt;strong&gt;Citation key&lt;/strong&gt; blank and it will auto-generate from the
author, year, and title. Modification testing the renderer.&lt;/p&gt;
&lt;div class="admonition note block" id="citations-used-for-demonstration-purposes-only"&gt;
&lt;div class="admonition-title"&gt;&lt;p class="first-graf"&gt;Citations Used for Demonstration Purposes Only&lt;/p&gt;&lt;/div&gt;
&lt;p class="first-graf"&gt;Note that the citations within this page are for illustrative
purposes only and do no represent real sources.&lt;/p&gt;
&lt;/div&gt;
&lt;p class="list-heading block first-graf"&gt;&lt;strong&gt;Source 1 — Journal Article:&lt;/strong&gt;&lt;/p&gt;
&lt;ul class="list list-level-1 block"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Title: &lt;em&gt;The Neural Basis of Decision Making Under
Uncertainty&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Type: Journal Article&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Authors:
&lt;code&gt;[{"family": "Chen", "given": "Wei"}, {"family": "Nakamura", "given": "Yuki"}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Issued date: &lt;code&gt;{"date-parts": [[2024, 6, 15]]}&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Container title: Nature Neuroscience&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Volume: 27&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Issue: 6&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Page: 1042-1058&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;DOI: 10.1038/&lt;wbr/&gt;s41593-024-01632-4&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;URL: &lt;a class="uri external-link" href="https://doi.org/10.1038/s41593-024-01632-4" rel="noopener noreferrer" target="_blank"&gt;https://&lt;wbr/&gt;doi.org/&lt;wbr/&gt;10.1038/&lt;wbr/&gt;s41593-024-01632-4&lt;/a&gt;&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class="list-heading block first-graf"&gt;&lt;strong&gt;Source 2 — Book:&lt;/strong&gt;&lt;/p&gt;
&lt;ul class="list list-level-1 block"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Title: &lt;em&gt;Thinking in Systems: A Primer&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Type: Book&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Authors:
&lt;code&gt;[{"family": "Meadows", "given": "Donella H."}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Editors: &lt;code&gt;[{"family": "Wright", "given": "Diana"}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Issued date: &lt;code&gt;{"date-parts": [[2008]]}&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Publisher: Chelsea Green Publishing&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Publisher place: White River Junction, VT&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;ISBN: 978-1603580557&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class="list-heading block first-graf"&gt;&lt;strong&gt;Source 3 — Book Chapter:&lt;/strong&gt;&lt;/p&gt;
&lt;ul class="list list-level-1 block"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Title: &lt;em&gt;Bayesian Approaches to Clinical Trials&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Type: Book Chapter&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Authors:
&lt;code&gt;[{"family": "Spiegelhalter", "given": "David J."}, {"family": "Freedman", "given": "Laurence S."}, {"family": "Parmar", "given": "Mahesh K. B."}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Issued date: &lt;code&gt;{"date-parts": [[1994]]}&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Container title: Bayesian Statistics 5&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Publisher: Oxford University Press&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Page: 357-386&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Editors:
&lt;code&gt;[{"family": "Bernardo", "given": "José M."}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class="list-heading block first-graf"&gt;&lt;strong&gt;Source 4 — Web Page:&lt;/strong&gt;&lt;/p&gt;
&lt;ul class="list list-level-1 block"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Title: &lt;em&gt;Attention Is All You Need: A Retrospective&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Type: Web Page&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Authors:
&lt;code&gt;[{"family": "Vaswani", "given": "Ashish"}, {"family": "Shazeer", "given": "Noam"}, {"family": "Parmar", "given": "Niki"}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Issued date: &lt;code&gt;{"date-parts": [[2023, 12, 4]]}&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Container title: Google Research Blog&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;URL: &lt;a class="uri external-link" href="https://research.google/blog/attention-is-all-you-need" rel="noopener noreferrer" target="_blank"&gt;https://&lt;wbr/&gt;research.google/&lt;wbr/&gt;blog/&lt;wbr/&gt;attention-is-all-you-need&lt;/a&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Accessed date: &lt;code&gt;{"date-parts": [[2025, 3, 10]]}&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class="list-heading block first-graf"&gt;&lt;strong&gt;Source 5 — Conference Paper:&lt;/strong&gt;&lt;/p&gt;
&lt;ul class="list list-level-1 block"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Title: &lt;em&gt;Scaling Laws for Neural Language Models&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Type: Conference Paper&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Authors:
&lt;code&gt;[{"family": "Kaplan", "given": "Jared"}, {"family": "McCandlish", "given": "Sam"}, {"family": "Henighan", "given": "Tom"}, {"family": "Brown", "given": "Tom B."}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Issued date: &lt;code&gt;{"date-parts": [[2020]]}&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Container title: Proceedings of the International Conference on
Machine Learning&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Publisher: PMLR&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;DOI: 10.48550/&lt;wbr/&gt;arXiv.2001.08361&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class="list-heading block first-graf"&gt;&lt;strong&gt;Source 6 — Report (Institutional Author):&lt;/strong&gt;&lt;/p&gt;
&lt;ul class="list list-level-1 block"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Title: &lt;em&gt;Global Risks Report 2024&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Type: Report&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Authors: &lt;code&gt;[{"literal": "World Economic Forum"}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Issued date: &lt;code&gt;{"date-parts": [[2024, 1]]}&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Publisher: World Economic Forum&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Publisher place: Geneva&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;URL: &lt;a class="uri external-link" href="https://www.weforum.org/publications/global-risks-report-2024" rel="noopener noreferrer" target="_blank"&gt;https://&lt;wbr/&gt;www.weforum.org/&lt;wbr/&gt;publications/&lt;wbr/&gt;global-risks-report-2024&lt;/a&gt;&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class="list-heading block first-graf"&gt;&lt;strong&gt;Source 7 — Thesis:&lt;/strong&gt;&lt;/p&gt;
&lt;ul class="list list-level-1 block"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Title: &lt;em&gt;Emergent Complexity in Multi-Agent Reinforcement Learning
Environments&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Type: Thesis&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Authors:
&lt;code&gt;[{"family": "Okonkwo", "given": "Adaeze"}]&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Issued date: &lt;code&gt;{"date-parts": [[2023]]}&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Publisher: Massachusetts Institute of Technology&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Publisher place: Cambridge, MA&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;hr class="block horizontal-rule horizontal-rule-1"/&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="basic-parenthetical-citations" id="basic-parenthetical-citations"&gt;
&lt;h2 class="heading" data-level="2" data-slug="basic-parenthetical-citations" id="basic-parenthetical-citations"&gt;&lt;a href="#basic-parenthetical-citations" rel="noopener noreferrer" title="Link to section: § 'Basic Parenthetical Citations'"&gt;Basic
Parenthetical
Citations&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;The simplest and most common citation form places the reference in
parentheses at the end of a clause or sentence. Write
&lt;code&gt;[@key]&lt;/code&gt; where &lt;code&gt;key&lt;/code&gt; is the source’s citation
key.&lt;/p&gt;
&lt;p class="block"&gt;Recent work in computational neuroscience has revealed unexpected
parallels between artificial and biological neural networks, suggesting
that the optimization landscapes explored by gradient descent may share
structural features with those navigated by synaptic plasticity
&lt;a class="citation" data-citation="(Chen &amp;amp;#38; Nakamura, 2024)" data-citation-keys="chen2024neural" href="#ref-chen2024neural" role="doc-noteref"&gt;(Chen &amp;amp; Nakamura, 2024)&lt;/a&gt;. This finding builds on decades of systems-level
thinking about feedback loops and emergent behavior in complex adaptive
systems &lt;a class="citation" data-citation="(Meadows, 2008)" data-citation-keys="meadows2008thinking" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(Meadows, 2008)&lt;/a&gt;.&lt;/p&gt;
&lt;p class="block"&gt;The conference paper that introduced scaling laws for neural language
models has since become one of the most cited works in the field
&lt;a class="citation" data-citation="(Kaplan et al., 2020)" data-citation-keys="kaplan2020scaling" href="#ref-kaplan2020scaling" role="doc-noteref"&gt;(Kaplan et al., 2020)&lt;/a&gt;. Meanwhile, institutional reports continue to
highlight the intersection of technological risk and global governance
&lt;a class="citation" data-citation="(World Economic Forum, 2024)" data-citation-keys="worldeconomicforum2024global" href="#ref-worldeconomicforum2024global" role="doc-noteref"&gt;(World Economic Forum, 2024)&lt;/a&gt;.&lt;/p&gt;
&lt;p class="block"&gt;Multiple sources can confirm a point when placed together. The
convergence of Bayesian methods and modern machine learning represents
one of the most productive cross-pollinations in recent scientific
history &lt;a class="citation" data-citation="(Spiegelhalter et al., 1994)" data-citation-keys="spiegelhalter1994bayesian" href="#ref-spiegelhalter1994bayesian" role="doc-noteref"&gt;(Spiegelhalter et al., 1994)&lt;/a&gt;. Doctoral work has further
extended these ideas into multi-agent settings
&lt;a class="citation" data-citation="(Okonkwo, 2023)" data-citation-keys="okonkwo2023emergent" href="#ref-okonkwo2023emergent" role="doc-noteref"&gt;(Okonkwo, 2023)&lt;/a&gt;.&lt;/p&gt;
&lt;hr class="block horizontal-rule horizontal-rule-2"/&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="page-and-location-references" id="page-and-location-references"&gt;
&lt;h2 class="heading" data-level="2" data-slug="page-and-location-references" id="page-and-location-references"&gt;&lt;a href="#page-and-location-references" rel="noopener noreferrer" title="Link to section: § 'Page and Location References'"&gt;Page
and Location
References&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;When citing a specific passage, add a locator after the key,
separated by a comma. The system recognizes standard locator prefixes
and formats them according to the active citation style.&lt;/p&gt;
&lt;section class="block level3" data-level="3" data-slug="page-numbers" id="page-numbers"&gt;
&lt;h3 class="heading" data-level="3" data-slug="page-numbers" id="page-numbers"&gt;&lt;a href="#page-numbers" rel="noopener noreferrer" title="Link to section: § 'Page Numbers'"&gt;Page
Numbers&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Single page references use &lt;code&gt;p.&lt;/code&gt; and page ranges use
&lt;code&gt;pp.&lt;/code&gt;:&lt;/p&gt;
&lt;p class="block"&gt;The authors define their core framework in the methods section,
establishing the experimental protocol that all subsequent analyses
depend on &lt;a class="citation" data-citation="(Chen &amp;amp;#38; Nakamura, 2024, p. 1045)" data-citation-keys="chen2024neural" href="#ref-chen2024neural" role="doc-noteref"&gt;(Chen &amp;amp; Nakamura, 2024, p. 1045)&lt;/a&gt;. The results across all three
experimental conditions are summarized in a single comprehensive table
&lt;a class="citation" data-citation="(Chen &amp;amp;#38; Nakamura, 2024, pp. 1050–1054)" data-citation-keys="chen2024neural" href="#ref-chen2024neural" role="doc-noteref"&gt;(Chen &amp;amp; Nakamura, 2024, pp. 1050–1054)&lt;/a&gt;. The distinction between leverage
points in systems is perhaps Meadows’ most lasting contribution to the
field &lt;a class="citation" data-citation="(Meadows, 2008, pp. 145–165)" data-citation-keys="meadows2008thinking" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(Meadows, 2008, pp. 145–165)&lt;/a&gt;.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="chapter-references" id="chapter-references"&gt;
&lt;h3 class="heading" data-level="3" data-slug="chapter-references" id="chapter-references"&gt;&lt;a href="#chapter-references" rel="noopener noreferrer" title="Link to section: § 'Chapter References'"&gt;Chapter
References&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Use &lt;code&gt;ch.&lt;/code&gt; or &lt;code&gt;chap.&lt;/code&gt; for chapter-level
references:&lt;/p&gt;
&lt;p class="block"&gt;The opening chapter provides an accessible introduction to the
concept of stocks and flows that requires no mathematical background
&lt;a class="citation" data-citation="(Meadows, 2008, Chapter 1)" data-citation-keys="meadows2008thinking" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(Meadows, 2008, Chapter 1)&lt;/a&gt;. Later chapters build on this
foundation with increasingly sophisticated models of system dynamics
&lt;a class="citation" data-citation="(Meadows, 2008, Chapter 5)" data-citation-keys="meadows2008thinking" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(Meadows, 2008, Chapter 5)&lt;/a&gt;.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="section-references" id="section-references"&gt;
&lt;h3 class="heading" data-level="3" data-slug="section-references" id="section-references"&gt;&lt;a href="#section-references" rel="noopener noreferrer" title="Link to section: § 'Section References'"&gt;Section
References&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Use &lt;code&gt;sec.&lt;/code&gt; for section-level references:&lt;/p&gt;
&lt;p class="block"&gt;The discussion of prior elicitation is particularly relevant for
practitioners working with limited historical data
&lt;a class="citation" data-citation="(Spiegelhalter et al., 1994, Section 3)" data-citation-keys="spiegelhalter1994bayesian" href="#ref-spiegelhalter1994bayesian" role="doc-noteref"&gt;(Spiegelhalter et al., 1994, Section 3)&lt;/a&gt;.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="volume-references" id="volume-references"&gt;
&lt;h3 class="heading" data-level="3" data-slug="volume-references" id="volume-references"&gt;&lt;a href="#volume-references" rel="noopener noreferrer" title="Link to section: § 'Volume References'"&gt;Volume
References&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Use &lt;code&gt;vol.&lt;/code&gt; for multi-volume works:&lt;/p&gt;
&lt;p class="block"&gt;The broader series covers the full history of the Bayesian statistics
conference proceedings, with each volume representing a biennial meeting
&lt;a class="citation" data-citation="(Spiegelhalter et al., 1994, Volume 5)" data-citation-keys="spiegelhalter1994bayesian" href="#ref-spiegelhalter1994bayesian" role="doc-noteref"&gt;(Spiegelhalter et al., 1994, Volume 5)&lt;/a&gt;.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="figure-references" id="figure-references"&gt;
&lt;h3 class="heading" data-level="3" data-slug="figure-references" id="figure-references"&gt;&lt;a href="#figure-references" rel="noopener noreferrer" title="Link to section: § 'Figure References'"&gt;Figure
References&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Use &lt;code&gt;fig.&lt;/code&gt; for specific figures:&lt;/p&gt;
&lt;p class="block"&gt;The attention heatmap visualization demonstrates how the model
allocates computational resources across input tokens
&lt;a class="citation" data-citation="(Vaswani et al., 2023, Figure 2)" data-citation-keys="vaswani2023attention" href="#ref-vaswani2023attention" role="doc-noteref"&gt;(Vaswani et al., 2023, Figure 2)&lt;/a&gt;.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="paragraph-references" id="paragraph-references"&gt;
&lt;h3 class="heading" data-level="3" data-slug="paragraph-references" id="paragraph-references"&gt;&lt;a href="#paragraph-references" rel="noopener noreferrer" title="Link to section: § 'Paragraph References'"&gt;Paragraph
References&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Use &lt;code&gt;para.&lt;/code&gt; for paragraph-level precision:&lt;/p&gt;
&lt;p class="block"&gt;The retrospective opens with a personal anecdote about the moment the
team realized their architecture would generalize beyond machine
translation &lt;a class="citation" data-citation="(Vaswani et al., 2023, para. 3)" data-citation-keys="vaswani2023attention" href="#ref-vaswani2023attention" role="doc-noteref"&gt;(Vaswani et al., 2023, para. 3)&lt;/a&gt;.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="line-and-note-references" id="line-and-note-references"&gt;
&lt;h3 class="heading" data-level="3" data-slug="line-and-note-references" id="line-and-note-references"&gt;&lt;a href="#line-and-note-references" rel="noopener noreferrer" title="Link to section: § 'Line and Note References'"&gt;Line and
Note
References&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Use &lt;code&gt;l.&lt;/code&gt; for line references and &lt;code&gt;n.&lt;/code&gt; for
notes:&lt;/p&gt;
&lt;p class="block"&gt;The footnote on experimental methodology deserves close reading, as
it contains a crucial caveat about the generalizability of the results
&lt;a class="citation" data-citation="(Chen &amp;amp;#38; Nakamura, 2024, Note 14)" data-citation-keys="chen2024neural" href="#ref-chen2024neural" role="doc-noteref"&gt;(Chen &amp;amp; Nakamura, 2024, Note 14)&lt;/a&gt;.&lt;/p&gt;
&lt;hr class="block horizontal-rule horizontal-rule-3"/&gt;
&lt;/section&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="narrative-in-text-citations" id="narrative-in-text-citations"&gt;
&lt;h2 class="heading" data-level="2" data-slug="narrative-in-text-citations" id="narrative-in-text-citations"&gt;&lt;a href="#narrative-in-text-citations" rel="noopener noreferrer" title="Link to section: § 'Narrative (In-Text) Citations'"&gt;Narrative
(In-Text)
Citations&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;When the author’s name is part of the sentence structure, use a bare
&lt;code&gt;@key&lt;/code&gt; without brackets. The author name appears in the
running text with only the year parenthesized.&lt;/p&gt;
&lt;p class="block"&gt;&lt;a class="citation citation-narrative" data-citation="(Chen &amp;amp;#38; Nakamura, 2024)" data-citation-keys="chen2024neural" href="#ref-chen2024neural" role="doc-noteref"&gt;(Chen &amp;amp; Nakamura, 2024)&lt;/a&gt; demonstrate that prefrontal cortical
activity during uncertain decision tasks follows a pattern strikingly
similar to the attention mechanisms used in transformer architectures.
Their work extends the theoretical framework first articulated by
&lt;a class="citation citation-narrative" data-citation="(Meadows, 2008)" data-citation-keys="meadows2008thinking" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(Meadows, 2008)&lt;/a&gt;, who argued that complex systems exhibit
universal structural patterns regardless of their substrate.&lt;/p&gt;
&lt;p class="block"&gt;The seminal paper by &lt;a class="citation citation-narrative" data-citation="(Vaswani et al., 2023)" data-citation-keys="vaswani2023attention" href="#ref-vaswani2023attention" role="doc-noteref"&gt;(Vaswani et al., 2023)&lt;/a&gt; has fundamentally
reshaped how researchers think about sequence modeling. Building on this
foundation, &lt;a class="citation citation-narrative" data-citation="(Kaplan et al., 2020)" data-citation-keys="kaplan2020scaling" href="#ref-kaplan2020scaling" role="doc-noteref"&gt;(Kaplan et al., 2020)&lt;/a&gt; established the empirical laws
governing how language model performance improves with scale. More
recently, &lt;a class="citation citation-narrative" data-citation="(Okonkwo, 2023)" data-citation-keys="okonkwo2023emergent" href="#ref-okonkwo2023emergent" role="doc-noteref"&gt;(Okonkwo, 2023)&lt;/a&gt; has shown that these scaling
relationships extend to multi-agent environments, where emergent
behaviors arise from the interaction of individually simple
policies.&lt;/p&gt;
&lt;p class="block"&gt;Institutional perspectives complement individual research
contributions. &lt;a class="citation citation-narrative" data-citation="(World Economic Forum, 2024)" data-citation-keys="worldeconomicforum2024global" href="#ref-worldeconomicforum2024global" role="doc-noteref"&gt;(World Economic Forum, 2024)&lt;/a&gt; identifies
artificial intelligence governance as one of the five critical risk
vectors for the coming decade, drawing on survey data from over 1,400
global leaders.&lt;/p&gt;
&lt;hr class="block horizontal-rule horizontal-rule-1"/&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="suppress-author-citations" id="suppress-author-citations"&gt;
&lt;h2 class="heading" data-level="2" data-slug="suppress-author-citations" id="suppress-author-citations"&gt;&lt;a href="#suppress-author-citations" rel="noopener noreferrer" title="Link to section: § 'Suppress-Author Citations'"&gt;Suppress-Author
Citations&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;When you have already named the author in your sentence and want only
the year in parentheses, use &lt;code&gt;[-@key]&lt;/code&gt;. This avoids the
redundancy of writing “Chen (Chen &amp;amp; Nakamura, 2024).”&lt;/p&gt;
&lt;p class="block"&gt;Chen and Nakamura’s landmark study &lt;a class="citation" data-citation="(2024)" data-citation-keys="chen2024neural" href="#ref-chen2024neural" role="doc-noteref"&gt;(2024)&lt;/a&gt; built on
three years of preliminary data collection across twelve research sites.
Meadows &lt;a class="citation" data-citation="(2008)" data-citation-keys="meadows2008thinking" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(2008)&lt;/a&gt; had anticipated many of these
systemic dynamics decades earlier, though her work predated the
computational tools needed to verify them empirically. The World
Economic Forum &lt;a class="citation" data-citation="(2024)" data-citation-keys="worldeconomicforum2024global" href="#ref-worldeconomicforum2024global" role="doc-noteref"&gt;(2024)&lt;/a&gt; has increasingly
emphasized the need for adaptive governance frameworks that can respond
to rapidly evolving technological landscapes.&lt;/p&gt;
&lt;hr class="block horizontal-rule horizontal-rule-2"/&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="multi-source-citations" id="multi-source-citations"&gt;
&lt;h2 class="heading" data-level="2" data-slug="multi-source-citations" id="multi-source-citations"&gt;&lt;a href="#multi-source-citations" rel="noopener noreferrer" title="Link to section: § 'Multi-Source Citations'"&gt;Multi-Source
Citations&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;Cite multiple sources in a single bracketed reference by separating
them with semicolons. The citation processor sorts them according to the
active style’s rules (typically alphabetical by author or
chronological).&lt;/p&gt;
&lt;p class="block"&gt;The relationship between neural architecture and cognitive function
has been explored from multiple complementary perspectives
&lt;a class="citation" data-citation="(Chen &amp;amp;#38; Nakamura, 2024; Kaplan et al., 2020; Okonkwo, 2023)" data-citation-keys="chen2024neural kaplan2020scaling okonkwo2023emergent" href="#ref-chen2024neural" role="doc-noteref"&gt;(Chen &amp;amp; Nakamura, 2024; Kaplan et al., 2020; Okonkwo, 2023)&lt;/a&gt;. Systems
thinking provides a meta-framework for understanding how these
individual findings connect to form a coherent picture of intelligence,
whether biological or artificial
&lt;a class="citation" data-citation="(Meadows, 2008; Spiegelhalter et al., 1994)" data-citation-keys="meadows2008thinking spiegelhalter1994bayesian" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(Meadows, 2008; Spiegelhalter et al., 1994)&lt;/a&gt;.&lt;/p&gt;
&lt;p class="block"&gt;Multi-source citations can also include locators on individual
sources. The experimental methodology draws on established Bayesian
frameworks
&lt;a class="citation" data-citation="(Chen &amp;amp;#38; Nakamura, 2024, Section 2; Spiegelhalter et al., 1994, pp. 360–370)" data-citation-keys="spiegelhalter1994bayesian chen2024neural" href="#ref-spiegelhalter1994bayesian" role="doc-noteref"&gt;(Chen &amp;amp; Nakamura, 2024, Section 2; Spiegelhalter et al., 1994, pp. 360–370)&lt;/a&gt;
while the theoretical interpretation follows the systems dynamics
tradition
&lt;a class="citation" data-citation="(Meadows, 2008, Chapter 3; World Economic Forum, 2024)" data-citation-keys="meadows2008thinking worldeconomicforum2024global" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(Meadows, 2008, Chapter 3; World Economic Forum, 2024)&lt;/a&gt;.&lt;/p&gt;
&lt;hr class="block horizontal-rule horizontal-rule-3"/&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="unresolved-citations" id="unresolved-citations"&gt;
&lt;h2 class="heading" data-level="2" data-slug="unresolved-citations" id="unresolved-citations"&gt;&lt;a href="#unresolved-citations" rel="noopener noreferrer" title="Link to section: § 'Unresolved Citations'"&gt;Unresolved
Citations&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;If a citation key does not match any source in the library, it
renders as a visible error marker rather than failing silently. This
makes typos and missing sources easy to spot during editing.&lt;/p&gt;
&lt;p class="block"&gt;Some researchers have explored alternative architectures that avoid
attention entirely &lt;span class="citation-unresolved"&gt;[??nonexistent2024paper]&lt;/span&gt;. This reference will
render as a red &lt;code&gt;[??nonexistent2024paper]&lt;/code&gt; error marker
because no source with that key exists. Check the spelling of the key,
or create the missing source in &lt;strong&gt;Admin &amp;gt; Engine &amp;gt;
Sources&lt;/strong&gt; before publishing.&lt;/p&gt;
&lt;hr class="block horizontal-rule horizontal-rule-1"/&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="citations-with-footnotes" id="citations-with-footnotes"&gt;
&lt;h2 class="heading" data-level="2" data-slug="citations-with-footnotes" id="citations-with-footnotes"&gt;&lt;a href="#citations-with-footnotes" rel="noopener noreferrer" title="Link to section: § 'Citations with Footnotes'"&gt;Citations
with
Footnotes&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;Citations and footnotes use completely separate systems and do not
interfere with each other. You can use both freely in the same post. The
bibliography section appears before the footnotes section in the
rendered output.&lt;/p&gt;
&lt;p class="block"&gt;The interplay between theoretical frameworks and empirical validation
represents one of the enduring challenges of interdisciplinary research
&lt;a class="citation" data-citation="(Chen &amp;amp;#38; Nakamura, 2024; Meadows, 2008)" data-citation-keys="chen2024neural meadows2008thinking" href="#ref-chen2024neural" role="doc-noteref"&gt;(Chen &amp;amp; Nakamura, 2024; Meadows, 2008)&lt;/a&gt;.&lt;a class="footnote-ref" href="#fn1" id="fnref1" rel="noopener noreferrer"&gt;&lt;sup&gt;1&lt;/sup&gt;&lt;/a&gt;
Some scholars argue that this tension is itself productive, forcing
researchers to articulate their assumptions more precisely than they
otherwise would &lt;a class="citation" data-citation="(Spiegelhalter et al., 1994)" data-citation-keys="spiegelhalter1994bayesian" href="#ref-spiegelhalter1994bayesian" role="doc-noteref"&gt;(Spiegelhalter et al., 1994)&lt;/a&gt;.&lt;a class="footnote-ref" href="#fn2" id="fnref2" rel="noopener noreferrer"&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;/a&gt;&lt;/p&gt;
&lt;hr class="block horizontal-rule horizontal-rule-2"/&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="citations-in-blockquotes" id="citations-in-blockquotes"&gt;
&lt;h2 class="heading" data-level="2" data-slug="citations-in-blockquotes" id="citations-in-blockquotes"&gt;&lt;a href="#citations-in-blockquotes" rel="noopener noreferrer" title="Link to section: § 'Citations in Blockquotes'"&gt;Citations
in
Blockquotes&lt;/a&gt;&lt;/h2&gt;
&lt;p class="block first-graf"&gt;Citations work within blockquotes, preserving the same syntax and
rendering behavior:&lt;/p&gt;
&lt;blockquote class="blockquote-level-1"&gt;
&lt;p class="first-graf"&gt;The fundamental insight of systems thinking is that the behavior of a
system cannot be understood by examining its parts in isolation. The
relationships between the parts — the feedback loops, the delays, the
nonlinearities — are what generate the system’s characteristic behavior
over time &lt;a class="citation" data-citation="(Meadows, 2008, pp. 12–13)" data-citation-keys="meadows2008thinking" href="#ref-meadows2008thinking" role="doc-noteref"&gt;(Meadows, 2008, pp. 12–13)&lt;/a&gt;.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;blockquote class="blockquote-level-1"&gt;
&lt;blockquote class="blockquote-level-2"&gt;
&lt;p class="first-graf"&gt;Even nested blockquotes support citations. As the scaling laws
research demonstrates, the predictable relationship between compute,
data, and model performance holds across multiple orders of magnitude
&lt;a class="citation" data-citation="(Kaplan et al., 2020)" data-citation-keys="kaplan2020scaling" href="#ref-kaplan2020scaling" role="doc-noteref"&gt;(Kaplan et al., 2020)&lt;/a&gt;.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;/blockquote&gt;
&lt;hr class="block horizontal-rule horizontal-rule-3"/&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="how-the-system-works" id="how-the-system-works"&gt;
&lt;h2 class="heading" data-level="2" data-slug="how-the-system-works" id="how-the-system-works"&gt;&lt;a href="#how-the-system-works" rel="noopener noreferrer" title="Link to section: § 'How the System Works'"&gt;How the System
Works&lt;/a&gt;&lt;/h2&gt;
&lt;section class="block level3" data-level="3" data-slug="rendering-pipeline" id="rendering-pipeline"&gt;
&lt;h3 class="heading" data-level="3" data-slug="rendering-pipeline" id="rendering-pipeline"&gt;&lt;a href="#rendering-pipeline" rel="noopener noreferrer" title="Link to section: § 'Rendering Pipeline'"&gt;Rendering
Pipeline&lt;/a&gt;&lt;/h3&gt;
&lt;p class="list-heading block first-graf"&gt;When you save a post, the following happens automatically:&lt;/p&gt;
&lt;ol class="list list-level-1 list-type-decimal block" type="1"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;The &lt;strong&gt;citation escaper&lt;/strong&gt; preprocessor converts all
&lt;code&gt;[@key]&lt;/code&gt; syntax into placeholder tokens before Pandoc
processes the markdown. This prevents Pandoc from interpreting or
corrupting the citation syntax.&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Pandoc converts the rest of the markdown to HTML as
normal.&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;The &lt;strong&gt;citation renderer&lt;/strong&gt; postprocessor finds all
placeholder tokens, batch-queries the Source table for matching keys,
sends the resolved CSL-JSON data to &lt;strong&gt;citeproc-js&lt;/strong&gt;
(running as a Node.js subprocess) for formatting, and replaces each
placeholder with a styled inline citation link.&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;A &lt;strong&gt;bibliography section&lt;/strong&gt; is automatically appended
at the end of the content, listing all cited sources formatted according
to the active citation style. Only sources actually referenced with
&lt;code&gt;[@key]&lt;/code&gt; appear — you cannot manually add sources to the
bibliography.&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;&lt;strong&gt;PostCitation&lt;/strong&gt; records are synced in the database,
tracking which sources are cited in which posts and in what order. These
records power the “Cited Sources” inline in the post admin and enable
queries like “which posts cite this source?”&lt;/p&gt;&lt;/li&gt;
&lt;/ol&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="citation-keys" id="citation-keys"&gt;
&lt;h3 class="heading" data-level="3" data-slug="citation-keys" id="citation-keys"&gt;&lt;a href="#citation-keys" rel="noopener noreferrer" title="Link to section: § 'Citation Keys'"&gt;Citation
Keys&lt;/a&gt;&lt;/h3&gt;
&lt;p class="list-heading block first-graf"&gt;Every source has a unique citation key — the identifier you use in
&lt;code&gt;[@key]&lt;/code&gt;. Keys are auto-generated from the first author’s
family name, the year, and the first significant word of the title. For
example:&lt;/p&gt;
&lt;ul class="list list-level-1 block"&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Chen &amp;amp; Nakamura (2024), “The Neural Basis of Decision Making…” →
&lt;code&gt;chen2024neural&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;Meadows (2008), “Thinking in Systems…” →
&lt;code&gt;meadows2008thinking&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list"&gt;&lt;p class="in-list first-graf"&gt;World Economic Forum (2024), “Global Risks Report…” →
&lt;code&gt;worldeconomicforum2024global&lt;/code&gt;&lt;/p&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class="block first-graf"&gt;When two sources would produce the same key, a letter suffix is
appended: &lt;code&gt;smith2024a&lt;/code&gt;, &lt;code&gt;smith2024b&lt;/code&gt;. Once a key
is set, treat it as permanent — changing it will break all posts that
reference it.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="citation-styles" id="citation-styles"&gt;
&lt;h3 class="heading" data-level="3" data-slug="citation-styles" id="citation-styles"&gt;&lt;a href="#citation-styles" rel="noopener noreferrer" title="Link to section: § 'Citation Styles'"&gt;Citation
Styles&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;The site has a default citation style set in &lt;strong&gt;Admin &amp;gt; Site
Settings &amp;gt; Bibliography&lt;/strong&gt;. Individual posts can override this
with a different style in the &lt;strong&gt;Organization &amp;amp;
Taxonomy&lt;/strong&gt; section of the post admin.&lt;/p&gt;
&lt;p class="block"&gt;Available styles include: &lt;code&gt;apa&lt;/code&gt;, &lt;code&gt;mla&lt;/code&gt; (or
&lt;code&gt;modern-language-association&lt;/code&gt;), &lt;code&gt;chicago&lt;/code&gt; (or
&lt;code&gt;chicago-author-date&lt;/code&gt;), &lt;code&gt;chicago-notes&lt;/code&gt; (or
&lt;code&gt;chicago-notes-bibliography&lt;/code&gt;), &lt;code&gt;ieee&lt;/code&gt;,
&lt;code&gt;harvard&lt;/code&gt; (or &lt;code&gt;harvard-cite-them-right&lt;/code&gt;),
&lt;code&gt;vancouver&lt;/code&gt;, &lt;code&gt;nature&lt;/code&gt;.&lt;/p&gt;
&lt;p class="block"&gt;Short names like &lt;code&gt;mla&lt;/code&gt; and &lt;code&gt;chicago&lt;/code&gt; are
aliased to their full CSL filenames automatically.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="tooltips-and-navigation" id="tooltips-and-navigation"&gt;
&lt;h3 class="heading" data-level="3" data-slug="tooltips-and-navigation" id="tooltips-and-navigation"&gt;&lt;a href="#tooltips-and-navigation" rel="noopener noreferrer" title="Link to section: § 'Tooltips and Navigation'"&gt;Tooltips
and
Navigation&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;On desktop, hovering over any inline citation shows a tooltip with
the full formatted reference. Clicking the citation scrolls to its entry
in the bibliography section with a brief highlight animation. On mobile,
tapping a citation shows the tooltip; tapping elsewhere dismisses
it.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="zotero-integration" id="zotero-integration"&gt;
&lt;h3 class="heading" data-level="3" data-slug="zotero-integration" id="zotero-integration"&gt;&lt;a href="#zotero-integration" rel="noopener noreferrer" title="Link to section: § 'Zotero Integration'"&gt;Zotero
Integration&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Sources can be imported from a Zotero library via &lt;strong&gt;Admin &amp;gt;
Management Commands&lt;/strong&gt; or the scheduled sync task. The sync only
imports top-level items (actual sources) — child items like PDF
attachments and notes are handled separately. PDFs attached to Zotero
items are automatically downloaded and stored as the source’s archived
file.&lt;/p&gt;
&lt;p class="block"&gt;To set up Zotero sync: go to &lt;strong&gt;Admin &amp;gt; Site Settings &amp;gt;
Zotero Integration&lt;/strong&gt;, enter your numeric user ID (from
zotero.org/&lt;wbr/&gt;settings/&lt;wbr/&gt;keys), select the library type, and paste your API
key.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="auto-populating-metadata" id="auto-populating-metadata"&gt;
&lt;h3 class="heading" data-level="3" data-slug="auto-populating-metadata" id="auto-populating-metadata"&gt;&lt;a href="#auto-populating-metadata" rel="noopener noreferrer" title="Link to section: § 'Auto-Populating Metadata'"&gt;Auto-Populating
Metadata&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;In the Source admin, the bulk actions &lt;strong&gt;“Fetch metadata from
DOI”&lt;/strong&gt; and &lt;strong&gt;“Fetch metadata from URL”&lt;/strong&gt; query
external APIs (CrossRef for DOIs, OpenGraph/&lt;wbr/&gt;meta tags for URLs) and fill
in any empty fields on the selected sources. This is a one-way fill —
existing data is never overwritten.&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="link-rot-detection" id="link-rot-detection"&gt;
&lt;h3 class="heading" data-level="3" data-slug="link-rot-detection" id="link-rot-detection"&gt;&lt;a href="#link-rot-detection" rel="noopener noreferrer" title="Link to section: § 'Link Rot Detection'"&gt;Link Rot
Detection&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;The bulk action &lt;strong&gt;“Check URLs for availability”&lt;/strong&gt; sends
HTTP HEAD requests to each source’s URL and records the result. Broken
URLs are automatically checked against the Wayback Machine for archived
snapshots. URL health status is visible in the source list as a colored
badge: green (OK), yellow (redirect), red (broken), purple (archived),
gray (unchecked).&lt;/p&gt;
&lt;/section&gt;
&lt;section class="block level3" data-level="3" data-slug="archived-files" id="archived-files"&gt;
&lt;h3 class="heading" data-level="3" data-slug="archived-files" id="archived-files"&gt;&lt;a href="#archived-files" rel="noopener noreferrer" title="Link to section: § 'Archived Files'"&gt;Archived
Files&lt;/a&gt;&lt;/h3&gt;
&lt;p class="block first-graf"&gt;Sources can have an attached file (PDF, HTML, EPUB) uploaded in the
&lt;strong&gt;File Archive&lt;/strong&gt; section of the source admin. When a source
has an archived file, a &lt;code&gt;[PDF]&lt;/code&gt; link appears next to its
bibliography entry, linking directly to the stored copy. Files are
stored in R2 via the same storage backend used for media assets.&lt;/p&gt;
&lt;hr class="block horizontal-rule horizontal-rule-1"/&gt;
&lt;/section&gt;
&lt;/section&gt;
&lt;section class="block level2" data-level="2" data-slug="complete-syntax-reference" id="complete-syntax-reference"&gt;
&lt;h2 class="heading" data-level="2" data-slug="complete-syntax-reference" id="complete-syntax-reference"&gt;&lt;a href="#complete-syntax-reference" rel="noopener noreferrer" title="Link to section: § 'Complete Syntax Reference'"&gt;Complete
Syntax
Reference&lt;/a&gt;&lt;/h2&gt;
&lt;div class="table-wrapper block"&gt;&lt;div class="table-scroll-wrapper"&gt;&lt;table&gt;
&lt;colgroup&gt;
&lt;col/&gt;
&lt;col/&gt;
&lt;col/&gt;
&lt;/colgroup&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th&gt;Syntax&lt;/th&gt;
&lt;th&gt;Description&lt;/th&gt;
&lt;th&gt;Example Output&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;
&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;Parenthetical citation&lt;/td&gt;
&lt;td&gt;(Chen &amp;amp; Nakamura, 2024)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, p. 42]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With single page&lt;/td&gt;
&lt;td&gt;(Chen &amp;amp; Nakamura, 2024, p. 42)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, pp. 42-56]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With page range&lt;/td&gt;
&lt;td&gt;(Chen &amp;amp; Nakamura, 2024, pp. 42-56)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, ch. 3]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With chapter&lt;/td&gt;
&lt;td&gt;(Meadows, 2008, ch. 3)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, sec. 2]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With section&lt;/td&gt;
&lt;td&gt;(Spiegelhalter et al., 1994, sec. 2)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, vol. 5]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With volume&lt;/td&gt;
&lt;td&gt;(Spiegelhalter et al., 1994, vol. 5)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, fig. 2]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With figure&lt;/td&gt;
&lt;td&gt;(Vaswani et al., 2023, fig. 2)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, para. 3]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With paragraph&lt;/td&gt;
&lt;td&gt;(Vaswani et al., 2023, para. 3)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, n. 14]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With note&lt;/td&gt;
&lt;td&gt;(Chen &amp;amp; Nakamura, 2024, n. 14)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key, l. 7]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;With line&lt;/td&gt;
&lt;td&gt;(Okonkwo, 2023, l. 7)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;@key&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;Narrative citation&lt;/td&gt;
&lt;td&gt;Chen &amp;amp; Nakamura (2024)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[-@key]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;Suppress author&lt;/td&gt;
&lt;td&gt;(2024)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key1; @key2]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;Multiple sources&lt;/td&gt;
&lt;td&gt;(Chen &amp;amp; Nakamura, 2024; Meadows, 2008)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@key1, p. 5; @key2, ch. 3]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;Multiple with locators&lt;/td&gt;
&lt;td&gt;(Chen &amp;amp; Nakamura, 2024, p. 5; Meadows, 2008, ch. 3)&lt;/td&gt;
&lt;/tr&gt;
&lt;tr&gt;
&lt;td&gt;&lt;code&gt;[@nonexistent]&lt;/code&gt;&lt;/td&gt;
&lt;td&gt;Unresolved reference&lt;/td&gt;
&lt;td&gt;[??nonexistent]&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/section&gt;
&lt;/section&gt;
&lt;section class="footnotes footnotes-end-of-document block" id="footnotes"&gt;
&lt;hr class="block horizontal-rule horizontal-rule-2"/&gt;&lt;a class="section-self-link graf-content-not" href="#footnotes" title="Link to section: § 'Footnotes'"&gt;&lt;/a&gt;
&lt;ol class="list list-level-1 block"&gt;
&lt;li class="in-list footnote block" id="fn1"&gt;&lt;a class="footnote-self-link graf-content-not" href="#fn1" title="Link to footnote 1"&gt; &lt;/a&gt;&lt;p class="in-list first-graf"&gt;The methodological challenges of cross-disciplinary work
are well documented but rarely addressed systematically. Each field
brings its own standards of evidence, its own conventions for
statistical significance, and its own norms around replication.&lt;a class="footnote-back" href="#fnref1" rel="noopener noreferrer" role="doc-backlink" style=""&gt;&lt;svg viewbox="0 0 448 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M6.101 261.899L25.9 281.698c4.686 4.686 12.284 4.686 16.971 0L198 126.568V468c0 6.627 5.373 12 12 12h28c6.627 0 12-5.373 12-12V126.568l155.13 155.13c4.686 4.686 12.284 4.686 16.971 0l19.799-19.799c4.686-4.686 4.686-12.284 0-16.971L232.485 35.515c-4.686-4.686-12.284-4.686-16.971 0L6.101 244.929c-4.687 4.686-4.687 12.284 0 16.97z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/p&gt;&lt;/li&gt;
&lt;li class="in-list footnote block" id="fn2"&gt;&lt;a class="footnote-self-link graf-content-not" href="#fn2" title="Link to footnote 2"&gt; &lt;/a&gt;&lt;p class="in-list first-graf"&gt;The Bayesian vs. frequentist debate has generated
enormous heat over the past century, but the practical convergence
between the two frameworks in applied settings is far more notable than
their philosophical divergence.&lt;a class="footnote-back" href="#fnref2" rel="noopener noreferrer" role="doc-backlink" style=""&gt;&lt;svg viewbox="0 0 448 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M6.101 261.899L25.9 281.698c4.686 4.686 12.284 4.686 16.971 0L198 126.568V468c0 6.627 5.373 12 12 12h28c6.627 0 12-5.373 12-12V126.568l155.13 155.13c4.686 4.686 12.284 4.686 16.971 0l19.799-19.799c4.686-4.686 4.686-12.284 0-16.971L232.485 35.515c-4.686-4.686-12.284-4.686-16.971 0L6.101 244.929c-4.687 4.686-4.687 12.284 0 16.97z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/a&gt;&lt;/p&gt;&lt;/li&gt;
&lt;/ol&gt;
&lt;/section&gt;
&lt;section class="references level1 block" id="references" role="doc-bibliography"&gt;
&lt;h1 class="heading"&gt;&lt;a href="#references" title="Link to section: § 'References'"&gt;References&lt;/a&gt;&lt;/h1&gt;
&lt;ol class="reference-list block" data-citation-format="author-date"&gt;
&lt;li class="reference-entry" id="ref-chen2024neural"&gt;

&lt;span class="reference-text"&gt;&lt;div class="csl-entry"&gt;Chen, W., &amp;amp; Nakamura, Y. (2024). The Neural Basis of Decision Making Under Uncertainty. &lt;i&gt;Nature Neuroscience&lt;/i&gt;, &lt;i&gt;27&lt;/i&gt;(6), 1042–1058. https://doi.org/10.1038/s41593-024-01632-4&lt;/div&gt;&lt;/span&gt; &lt;button aria-label="Copy reference to clipboard" class="copy-citation-button" tabindex="-1" title="Copy reference" type="button"&gt;&lt;svg aria-hidden="true" viewbox="0 0 384 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M280 64h40c35.3 0 64 28.7 64 64V448c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V128C0 92.7 28.7 64 64 64h40 9.6C121 27.5 153.3 0 192 0s71 27.5 78.4 64H280zM64 112c-8.8 0-16 7.2-16 16V448c0 8.8 7.2 16 16 16H320c8.8 0 16-7.2 16-16V128c0-8.8-7.2-16-16-16H304v24c0 13.3-10.7 24-24 24H192 104c-13.3 0-24-10.7-24-24V112H64zm128-8a24 24 0 1 0 0-48 24 24 0 1 0 0 48z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/button&gt;
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&lt;li class="reference-entry" id="ref-kaplan2020scaling"&gt;

&lt;span class="reference-text"&gt;&lt;div class="csl-entry"&gt;Kaplan, J., McCandlish, S., Henighan, T., &amp;amp; Brown, T. B. (2020). Scaling Laws for Neural Language Models. &lt;i&gt;Proceedings of the International Conference on Machine Learning&lt;/i&gt;. https://doi.org/10.48550/arXiv.2001.08361&lt;/div&gt;&lt;/span&gt; &lt;button aria-label="Copy reference to clipboard" class="copy-citation-button" tabindex="-1" title="Copy reference" type="button"&gt;&lt;svg aria-hidden="true" viewbox="0 0 384 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M280 64h40c35.3 0 64 28.7 64 64V448c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V128C0 92.7 28.7 64 64 64h40 9.6C121 27.5 153.3 0 192 0s71 27.5 78.4 64H280zM64 112c-8.8 0-16 7.2-16 16V448c0 8.8 7.2 16 16 16H320c8.8 0 16-7.2 16-16V128c0-8.8-7.2-16-16-16H304v24c0 13.3-10.7 24-24 24H192 104c-13.3 0-24-10.7-24-24V112H64zm128-8a24 24 0 1 0 0-48 24 24 0 1 0 0 48z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/button&gt;
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&lt;li class="reference-entry" id="ref-meadows2008thinking"&gt;

&lt;span class="reference-text"&gt;&lt;div class="csl-entry"&gt;Meadows, D. H. (2008). &lt;i&gt;Thinking in Systems: A Primer&lt;/i&gt; (D. Wright, Ed.). Chelsea Green Publishing.&lt;/div&gt;&lt;/span&gt; &lt;button aria-label="Copy reference to clipboard" class="copy-citation-button" tabindex="-1" title="Copy reference" type="button"&gt;&lt;svg aria-hidden="true" viewbox="0 0 384 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M280 64h40c35.3 0 64 28.7 64 64V448c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V128C0 92.7 28.7 64 64 64h40 9.6C121 27.5 153.3 0 192 0s71 27.5 78.4 64H280zM64 112c-8.8 0-16 7.2-16 16V448c0 8.8 7.2 16 16 16H320c8.8 0 16-7.2 16-16V128c0-8.8-7.2-16-16-16H304v24c0 13.3-10.7 24-24 24H192 104c-13.3 0-24-10.7-24-24V112H64zm128-8a24 24 0 1 0 0-48 24 24 0 1 0 0 48z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/button&gt;
&lt;/li&gt;
&lt;li class="reference-entry" id="ref-okonkwo2023emergent"&gt;

&lt;span class="reference-text"&gt;&lt;div class="csl-entry"&gt;Okonkwo, A. (2023). &lt;i&gt;Emergent Complexity in Multi-Agent Reinforcement Learning Environments&lt;/i&gt;. Massachusetts Institute of Technology.&lt;/div&gt;&lt;/span&gt; &lt;button aria-label="Copy reference to clipboard" class="copy-citation-button" tabindex="-1" title="Copy reference" type="button"&gt;&lt;svg aria-hidden="true" viewbox="0 0 384 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M280 64h40c35.3 0 64 28.7 64 64V448c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V128C0 92.7 28.7 64 64 64h40 9.6C121 27.5 153.3 0 192 0s71 27.5 78.4 64H280zM64 112c-8.8 0-16 7.2-16 16V448c0 8.8 7.2 16 16 16H320c8.8 0 16-7.2 16-16V128c0-8.8-7.2-16-16-16H304v24c0 13.3-10.7 24-24 24H192 104c-13.3 0-24-10.7-24-24V112H64zm128-8a24 24 0 1 0 0-48 24 24 0 1 0 0 48z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/button&gt;
&lt;/li&gt;
&lt;li class="reference-entry" id="ref-spiegelhalter1994bayesian"&gt;

&lt;span class="reference-text"&gt;&lt;div class="csl-entry"&gt;Spiegelhalter, D. J., Freedman, L. S., &amp;amp; Parmar, M. K. B. (1994). Bayesian Approaches to Clinical Trials. In J. M. Bernardo (Ed.), &lt;i&gt;Bayesian Statistics 5&lt;/i&gt; (pp. 357–386). Oxford University Press.&lt;/div&gt;&lt;/span&gt; &lt;button aria-label="Copy reference to clipboard" class="copy-citation-button" tabindex="-1" title="Copy reference" type="button"&gt;&lt;svg aria-hidden="true" viewbox="0 0 384 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M280 64h40c35.3 0 64 28.7 64 64V448c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V128C0 92.7 28.7 64 64 64h40 9.6C121 27.5 153.3 0 192 0s71 27.5 78.4 64H280zM64 112c-8.8 0-16 7.2-16 16V448c0 8.8 7.2 16 16 16H320c8.8 0 16-7.2 16-16V128c0-8.8-7.2-16-16-16H304v24c0 13.3-10.7 24-24 24H192 104c-13.3 0-24-10.7-24-24V112H64zm128-8a24 24 0 1 0 0-48 24 24 0 1 0 0 48z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/button&gt;
&lt;/li&gt;
&lt;li class="reference-entry" id="ref-vaswani2023attention"&gt;

&lt;span class="reference-text"&gt;&lt;div class="csl-entry"&gt;Vaswani, A., Shazeer, N., &amp;amp; Parmar, N. (2023, December 4). &lt;i&gt;Attention Is All You Need: A Retrospective&lt;/i&gt;. Google Research Blog. https://research.google/blog/attention-is-all-you-need&lt;/div&gt;&lt;/span&gt; &lt;button aria-label="Copy reference to clipboard" class="copy-citation-button" tabindex="-1" title="Copy reference" type="button"&gt;&lt;svg aria-hidden="true" viewbox="0 0 384 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M280 64h40c35.3 0 64 28.7 64 64V448c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V128C0 92.7 28.7 64 64 64h40 9.6C121 27.5 153.3 0 192 0s71 27.5 78.4 64H280zM64 112c-8.8 0-16 7.2-16 16V448c0 8.8 7.2 16 16 16H320c8.8 0 16-7.2 16-16V128c0-8.8-7.2-16-16-16H304v24c0 13.3-10.7 24-24 24H192 104c-13.3 0-24-10.7-24-24V112H64zm128-8a24 24 0 1 0 0-48 24 24 0 1 0 0 48z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/button&gt;
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&lt;span class="reference-text"&gt;&lt;div class="csl-entry"&gt;World Economic Forum. (2024). &lt;i&gt;Global Risks Report 2024&lt;/i&gt;. World Economic Forum. http://web.archive.org/web/20260330170418/https://www.weforum.org/publications/global-risks-report-2024/&lt;/div&gt;&lt;/span&gt; &lt;button aria-label="Copy reference to clipboard" class="copy-citation-button" tabindex="-1" title="Copy reference" type="button"&gt;&lt;svg aria-hidden="true" viewbox="0 0 384 512" xmlns="http://www.w3.org/2000/svg"&gt;&lt;path d="M280 64h40c35.3 0 64 28.7 64 64V448c0 35.3-28.7 64-64 64H64c-35.3 0-64-28.7-64-64V128C0 92.7 28.7 64 64 64h40 9.6C121 27.5 153.3 0 192 0s71 27.5 78.4 64H280zM64 112c-8.8 0-16 7.2-16 16V448c0 8.8 7.2 16 16 16H320c8.8 0 16-7.2 16-16V128c0-8.8-7.2-16-16-16H304v24c0 13.3-10.7 24-24 24H192 104c-13.3 0-24-10.7-24-24V112H64zm128-8a24 24 0 1 0 0-48 24 24 0 1 0 0 48z"&gt;&lt;/path&gt;&lt;/svg&gt;&lt;/button&gt;
&lt;/li&gt;
&lt;/ol&gt;
&lt;/section&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Matthew Bryant</dc:creator><pubDate>Sun, 12 Apr 2026 16:50:39 +0000</pubDate><guid isPermaLink="false">post:7</guid><category>Citations</category><category>Lorem</category><category>Markup</category><category>Administrative</category></item></channel></rss>