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Aurelius improvement pass: domain-aware recs, finance/research surfaces, 2D graph
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or the hidden path between any two ideas<br>across Wikipedia, research papers, finance, and biology
— every connection backed by real evidence.</div>
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title="Show news affecting the focused company">News</button>
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title="Show Reddit discussion about the focused company">Discussion</button>
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together. Opened by the Compare FAB. -->
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<div class="cmp-intro">See how any two things connect: the strength of the link, the chain of
real relationships behind it, and how their prices move together.</div>
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<span class="cmp-vs">vs</span>
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</button>
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the user last focused. Slides up from the bottom of the graph. -->
<div id="overlay-drawer">
<div class="ovl-head">
<span id="ovl-title">Coverage</span>
<span id="ovl-sentiment" class="ovl-sentiment"></span>
<button class="ovl-close" onclick="closeOverlay()" aria-label="Close">
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<div id="tooltip">
<div class="tt-title" id="tt-title"></div>
<div class="tt-scores" id="tt-scores"></div>
</div>
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<span>Discover hidden connections</span>
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</button>
</div>
<div class="discover-explainer">
<strong>What is a hidden connection?</strong> A relationship that a
normal search can't show you because no direct link exists. Aurelius
walks everything one node touches, then everything <em>those</em>
touch, and keeps candidates with strong indirect evidence: many
shared neighbours, semantic similarity, co-movement, shared
dependencies, or common intermediaries. Each result explains why it
surfaced before you explore it.
</div>
<div class="discover-input-row">
<input id="discover-input" type="text" placeholder="Any node in this source…" autocomplete="off" />
<button id="discover-run" onclick="runDiscover(document.getElementById('discover-input').value)">Find</button>
</div>
<div id="discover-results"></div>
</div>
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</svg>
</button>
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for one company: price, key facts, peers, supply chain,
correlations and ownership, with the graph as a secondary
explorer. Shown only on the finance source. -->
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<div class="prof-head">
<div class="prof-input-row">
<svg class="prof-search-ic" viewBox="0 0 16 16" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linecap="round"><circle cx="7" cy="7" r="5"/><line x1="11" y1="11" x2="15" y2="15"/></svg>
<input id="profile-input" type="text" placeholder="Research a company — ticker or name" autocomplete="off"
onkeydown="if(event.key==='Enter')openProfile(this.value)" />
<button id="profile-run" onclick="openProfile(document.getElementById('profile-input').value)">Go</button>
</div>
<button class="prof-close" onclick="toggleProfile(false)" aria-label="Close">
<svg viewBox="0 0 16 16" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round"><line x1="3" y1="3" x2="13" y2="13"/><line x1="13" y1="3" x2="3" y2="13"/></svg>
</button>
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<div id="profile-body">
<div class="prof-empty">
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<path d="M6 40V22l8-4v22M18 40V14l8-4v30M30 40V20l8-4v24M4 40h40"/>
</svg>
<p>Search any company to see its price, peers, supply chain, correlations, ownership and the news moving it — all in one place.</p>
<div class="prof-empty-chips" id="profile-empty-chips"></div>
</div>
</div>
</div>
<button id="profile-fab" onclick="toggleProfile(true)" title="Research a company">
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</svg>
<span>Research</span>
</button>
<!-- Citation Explorer panel — the primary research-papers surface.
A paper's dossier: metadata, the works it cites and the works
citing it, with a "build citation graph" hand-off. Shown only on
the research (OpenAlex) source. -->
<div id="paper-panel" aria-hidden="true">
<div class="prof-head">
<div class="prof-input-row">
<svg class="prof-search-ic" viewBox="0 0 16 16" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linecap="round"><circle cx="7" cy="7" r="5"/><line x1="11" y1="11" x2="15" y2="15"/></svg>
<input id="paper-input" type="text" placeholder="Paper title, DOI, or arXiv id" autocomplete="off"
onkeydown="if(event.key==='Enter')openPaper(this.value)" />
<button id="paper-run" onclick="openPaper(document.getElementById('paper-input').value)">Go</button>
</div>
<button class="prof-close" onclick="togglePaper(false)" aria-label="Close">
<svg viewBox="0 0 16 16" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round"><line x1="3" y1="3" x2="13" y2="13"/><line x1="13" y1="3" x2="3" y2="13"/></svg>
</button>
</div>
<div id="paper-body">
<div class="prof-empty">
<svg viewBox="0 0 48 48" fill="none" stroke="currentColor" stroke-width="1.4" stroke-linecap="round" stroke-linejoin="round">
<path d="M14 6h16l6 6v30H14z"/><path d="M30 6v6h6"/><line x1="19" y1="22" x2="31" y2="22"/><line x1="19" y1="28" x2="31" y2="28"/><line x1="19" y1="34" x2="26" y2="34"/>
</svg>
<p>Give it a paper — by title, DOI, or arXiv id — to see what it cites, what cites it, and build an interactive citation graph you can expand.</p>
<div class="prof-empty-chips" id="paper-empty-chips"></div>
<label class="paper-drop" id="paper-drop">
<input type="file" accept="application/pdf" onchange="uploadPaperPdf(this.files)" hidden />
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.6" stroke-linecap="round" stroke-linejoin="round"><path d="M12 16V4M12 4l-4 4M12 4l4 4"/><path d="M4 16v3a1 1 0 0 0 1 1h14a1 1 0 0 0 1-1v-3"/></svg>
<span>or drop / choose a PDF</span>
</label>
</div>
</div>
</div>
<button id="paper-fab" onclick="togglePaper(true)" title="Explore a paper's citations">
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.8" stroke-linecap="round" stroke-linejoin="round">
<path d="M6 3h9l4 4v14H6z"/><path d="M15 3v4h4"/><line x1="9" y1="12" x2="16" y2="12"/><line x1="9" y1="16" x2="14" y2="16"/>
</svg>
<span>Citations</span>
</button>
</div>
<!-- Mobile-only: toggles the panel below open/closed. Lives OUTSIDE
#panel (not inside it) so it stays visible and tappable even while
#panel itself is collapsed to zero height — see styles.css. Hidden
entirely on desktop/tablet, where the panel is always visible. -->
<div id="mobile-panel-handle" class="mobile-handle" onclick="toggleMobilePanel()">
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<span>Path &amp; Details</span>
</div>
<!-- Panel -->
<div id="panel">
<div id="panel-tabs">
<div class="tab active" onclick="switchTab('path')">Path</div>
<div class="tab" onclick="switchTab('scores')">Scores</div>
<div class="tab" onclick="switchTab('log')">Log</div>
<div class="tab" onclick="switchTab('legend')">Key</div>
</div>
<div id="tab-path" class="tab-content active">
<div id="path-display">
<p style="font-size:13px;color:var(--text2)">Path will appear here as Aurelius explores.</p>
</div>
</div>
<div id="tab-scores" class="tab-content">
<div id="scores-list"></div>
</div>
<div id="tab-log" class="tab-content">
<div id="log"></div>
</div>
<div id="tab-legend" class="tab-content">
<div style="display:flex;flex-direction:column;gap:12px;margin-top:4px">
<div class="legend-row">
<div class="legend-dot" style="background:var(--amber)"></div>Current centre (being expanded)
</div>
<div class="legend-row">
<div class="legend-dot" style="background:var(--accent)"></div>Open, queued to explore
</div>
<div class="legend-row">
<div class="legend-dot" style="background:#374151;border:1px solid #555"></div>Closed, already explored
</div>
<div class="legend-row">
<div class="legend-dot" style="background:var(--green)"></div>Target article
</div>
<div class="legend-row">
<div class="legend-dot" style="background:var(--node-path)"></div>On current best path
</div>
<hr style="border-color:var(--border)" />
<div style="font-size:13px;color:var(--text2);line-height:1.8">
<b style="color:var(--text)">f(n)</b> = total estimated cost<br>
<b style="color:var(--text)">g(n)</b> = hops from start<br>
<b style="color:var(--text)">h(n)</b> = semantic distance to the target<br>
<br>Aurelius always expands the node with <b style="color:var(--accent2)">lowest f(n)</b> next,
and clicking any node after a search expands its real neighbours.
</div>
</div>
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<h2 class="modal-title">Path Discovered!</h2>
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<span class="modal-stat-lbl">Hops</span>
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<p class="modal-disclaimer" id="modal-disclaimer">
Every link above is real, but the wording shown on a page isn't always
the link's title; for example, a page may display "iterative" while the link
actually points to "Iteration", or show "AI" linking to
"Artificial intelligence". Wikipedia links can be piped like that, so
the visible text and the article it leads to can differ.
</p>
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<h2
style="font-family:'Cinzel',serif;font-size:22px;font-weight:900;color:#fff;letter-spacing:3px;text-transform:uppercase;line-height:1">
AURELIUS</h2>
<p style="font-size:12px;color:var(--text2);margin-top:6px;letter-spacing:0.2px">Graph intelligence engine</p>
</div>
</div>
<!-- Quote -->
<div class="about-quote-block">
<span class="about-quote-mark">"</span>
<p class="about-quote-text">The universe is change, our life is what our thoughts make it.</p>
<p class="about-quote-attr">Marcus Aurelius, Meditations</p>
</div>
<p class="about-prose">Named after the Stoic emperor who wrote that every idea connects to the next. Aurelius
makes those connections visible in any network of knowledge: pick two things, and it walks the real links
between them, ranking every step by meaning. It started on Wikipedia; today the same engine powers a
company research workspace, a paper citation explorer, biomedical networks and live news coverage,
and can surface connections that no direct link records at all.</p>
<hr class="about-divider" />
<span class="about-section-label">How it works</span>
<p style="font-size:11px;color:var(--text2);opacity:0.6;font-style:italic;margin:-8px 0 16px;">
Works best on desktop; the live graph and side panel are easiest to read on a larger screen.
</p>
<div class="about-tech-grid">
<div class="about-tech-card">
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<circle cx="16" cy="16" r="1.8" fill="currentColor" stroke="none" />
</svg>
<div class="tech-name">Best-First Search</div>
<div class="tech-desc">Instead of checking links at random, Aurelius always opens the article that
<em>looks closest</em> to the goal next, like always taking the turn that points toward where
you're headed. It's the same idea behind A*: chase the most promising lead first rather than
exploring everything.</div>
</div>
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stroke-linecap="round" stroke-linejoin="round">
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<circle cx="16" cy="7" r="2.5" />
<circle cx="26" cy="22" r="2.5" />
<circle cx="13" cy="18" r="2.5" />
<circle cx="22" cy="13" r="2.5" />
<line x1="9" y1="23.5" x2="11.5" y2="19.5" />
<line x1="14.8" y1="9.2" x2="13.6" y2="15.5" />
<line x1="23.5" y1="14.8" x2="24.5" y2="19.5" />
<line x1="15.4" y1="17.8" x2="20" y2="14.2" />
</svg>
<div class="tech-name">Semantic Embeddings</div>
<div class="tech-desc">Each article is turned into a string of numbers that captures its
<em>meaning</em>. Related topics get similar numbers, so "Jazz" sits near "Saxophone" but far
from "Java". Comparing those numbers is how the search tells whether a link actually gets it
closer.
</div>
</div>
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stroke-linecap="round" stroke-linejoin="round">
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<circle cx="16" cy="16" r="2.2" fill="currentColor" stroke="none" />
<path d="M3 16 H13.8" />
<path d="M10.5 12.5 L13.8 16 L10.5 19.5" />
<path d="M23 16 H18.2" />
</svg>
<div class="tech-name">Search From Both Ends</div>
<div class="tech-desc">Aurelius also gathers everything that links <em>to</em> your destination
ahead of time. When the forward search runs into one of them, the two sides meet in the middle,
reaching the answer far quicker than searching from the start alone; and every hop in the result
is a real, verified edge.
</div>
</div>
<div class="about-tech-card">
<svg class="tech-icon" viewBox="0 0 32 32" fill="none" stroke="currentColor" stroke-width="1.8"
stroke-linecap="round" stroke-linejoin="round">
<circle cx="16" cy="16" r="11" />
<path d="M10 16 L14 20 L22 12" />
<path d="M16 5 V8" />
<path d="M16 24 V27" />
<path d="M5 16 H8" />
<path d="M24 16 H27" />
</svg>
<div class="tech-name">Breaking Out of Dead Ends</div>
<div class="tech-desc">If the search keeps circling a cluster of similar-but-wrong pages, it notices
it has stopped making progress, casts a wider net, and favors more <em>varied</em> links to escape,
and it never invents a link that doesn't truly exist.</div>
</div>
</div>
<hr class="about-divider" />
<span class="about-section-label">Hidden Connections</span>
<p class="about-prose" style="margin-bottom:14px">
A search engine can only show you what's <em>directly</em> linked. Aurelius' most useful trick is
finding what isn't. It walks everything one thing touches, then everything <em>those</em> touch, and
keeps the candidates with strong indirect support: many shared neighbours, close meaning, price
co-movement, shared suppliers or investors, common intermediaries. Two companies that never mention
each other but depend on the same chip maker; a drug and a disease with no listed link but a chain of
shared biology between them. Every hidden connection comes with the evidence for <em>why</em> it
surfaced, so you're never asked to trust an unexplained edge.
</p>
<hr class="about-divider" />
<span class="about-section-label">What makes it different</span>
<div class="about-compare">
<div class="about-compare-head">Typical search</div>
<div class="about-compare-head accent">Aurelius</div>
<div class="about-compare-cell">Treats every link as equal</div>
<div class="about-compare-cell accent">Ranks every link by meaning</div>
<div class="about-compare-cell">Searches blindly until it stumbles on the target</div>
<div class="about-compare-cell accent">Aims at the goal from both ends</div>
<div class="about-compare-cell">Built for one dataset</div>
<div class="about-compare-cell accent">Same engine on Wikipedia, papers, finance, biology &amp; news</div>
<div class="about-compare-cell">Only finds what's directly linked</div>
<div class="about-compare-cell accent">Discovers hidden connections with no direct link at all</div>
</div>
<hr class="about-divider" />
<span class="about-section-label">One engine, many worlds</span>
<p class="about-demo-note">
Every dataset here is a plug-in <strong>adapter</strong> speaking one protocol, so the search engine
never changes: Wikipedia and research papers are walked live; finance and news are ingested into a
persistent graph with learned structural embeddings on top. The finance graph links companies, ETFs,
sectors, executives and macro indicators through typed relationships (supply chains, ownership,
competition, real return correlations), and a standalone News Intelligence pipeline turns live
headlines into entities, relationships and evolving stories that any domain can query. Every path hop
and every discovered connection comes with the evidence for <em>why</em> it exists.
</p>
<hr class="about-divider" />
<span class="about-section-label">Built by</span>
<p style="font-size:16px;font-weight:800;color:#fff;margin-bottom:6px">Murtaza Vali</p>
<p class="about-prose" style="margin-bottom:18px">CS student who got curious about A* pathfinding and ended up
building something with embeddings, a verified backlink graph, and a live force-directed visualization. This is
what happens when you keep adding "just one more thing."</p>
<a href="https://www.linkedin.com/in/murtaza-vali-741835274/" target="_blank" rel="noopener"
class="about-linkedin-btn">LinkedIn ↗</a>
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<h2 class="onboarding-title">Welcome to Aurelius</h2>
<p class="onboarding-tagline">One engine, many worlds of knowledge</p>
<div class="onboarding-steps">
<div class="onboarding-step">
<div class="onboarding-icon">1</div>
<div>
<strong>Pick a world to research</strong>
<p>Wikipedia, research papers, finance, or biology. Each has its own workspace — a company
profile, a paper's citations — plus the pathfinder that ties any two things together.</p>
</div>
</div>
<div class="onboarding-step">
<div class="onboarding-icon">2</div>
<div>
<strong>Dive into one thing, or connect two</strong>
<p>Research a company (price, peers, supply chain, news) or a paper's citation tree; or type
a From and a To and watch Aurelius walk the real links between them, ranking every step by
meaning. It never invents a link.</p>
</div>
</div>
<div class="onboarding-step">
<div class="onboarding-icon">3</div>
<div>
<strong>Explore the graph</strong>
<p>Click any node to expand its real neighbours, focus on its neighbourhood, filter the view,
and open Discover to surface connections with no direct link at all.</p>
</div>
</div>
</div>
<p class="onboarding-tip">
Tip: in Finance, hit <strong>Research a company</strong> and search a ticker like NVDA — you'll see
its peers, suppliers, correlations and news before you ever touch the graph.
</p>
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