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https://github.com/velocitatem/PHANTOM.git
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updating website with defense assets
This commit is contained in:
115
docs/index.html
115
docs/index.html
@@ -66,6 +66,11 @@
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<link rel="stylesheet" href="static/css/bulma.min.css">
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<link rel="stylesheet" href="static/css/index.css">
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<!-- Defense-style monospace tagline font -->
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;600;700&display=swap" rel="stylesheet">
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<!-- Non-critical CSS - Load asynchronously -->
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<link rel="preload" href="static/css/bulma-carousel.min.css" as="style" onload="this.onload=null;this.rel='stylesheet'">
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<link rel="preload" href="static/css/bulma-slider.min.css" as="style" onload="this.onload=null;this.rel='stylesheet'">
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@@ -242,6 +247,7 @@
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<div class="columns is-centered">
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<div class="column has-text-centered">
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<h1 class="title is-1 publication-title">Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms</h1>
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<p class="defense-tagline">Revenue management in the age of <span class="mark">AI agents</span>.</p>
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<div class="is-size-5 publication-authors author-names">
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<span class="author-block">
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<a href="https://alves.world" target="_blank">Daniel Rösel</a></span>
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@@ -314,6 +320,7 @@
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</a>
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</span>
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</div>
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<p class="tpu-credit">Powered by <span class="accent">Google</span> TPU Research Cloud.</p>
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</div>
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</div>
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</div>
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@@ -355,6 +362,52 @@
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</section>
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<!-- End paper abstract -->
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<!-- Defense-styled: new interaction environment (actor triptych) -->
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<section class="section defense-block">
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<div class="container is-max-desktop">
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<h2 class="defense-heading">New interaction environment of <span class="mark">future commerce</span>.</h2>
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<div class="actor-grid">
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<div class="actor-card">
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<div class="actor-art">
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<img src="static/images/human.svg" alt="Isometric illustration of a human user as a cube character" loading="lazy" />
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</div>
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<h3>Users</h3>
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<p>Have new needs and <strong>means of research</strong> & acquisition.</p>
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</div>
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<div class="actor-card">
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<div class="actor-art">
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<img src="static/images/agent.svg" alt="Isometric illustration of an LLM agent depicted as a cube robot" loading="lazy" />
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</div>
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<h3>Agents</h3>
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<p>Use browsers (C/BUA) to look human and create <strong>clean sessions</strong>.</p>
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</div>
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<div class="actor-card">
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<div class="actor-art">
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<div class="actor-icon" aria-hidden="true"><i class="fas fa-store"></i></div>
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</div>
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<h3>Platforms</h3>
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<p>Run <strong>standard pricing</strong> algorithms and experience revenue loss.</p>
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</div>
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</div>
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</div>
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</section>
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<!-- End actor triptych -->
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<!-- Defense-styled: COI vulnerability -->
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<section class="section">
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<div class="container is-max-desktop">
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<h2 class="defense-heading">When agents can repeatedly query prices, realizable <span class="underline">markup disappears</span>.</h2>
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<div class="coi-equation">
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<div class="formula">COI = <em>E</em>[P] − <u>p</u></div>
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<p class="caption">Cost of Information — the expected premium dynamic pricing earns over the reservation price — collapses to zero as the number of independent querying agents grows.</p>
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</div>
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</div>
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</section>
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<!-- End COI vulnerability -->
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<section class="section">
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<div class="container is-max-desktop">
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<div class="content has-text-justified">
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@@ -388,6 +441,38 @@
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</section>
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<!-- Defense-styled: three takeaways and forward-deploy line -->
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<section class="section defense-block">
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<div class="container is-max-desktop">
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<h2 class="defense-heading">Agents <span class="mark">distort marketplace signals</span>. PHANTOM uses behavioral distinguishability and DR–RL to <span class="mark">preserve pricing power</span>.</h2>
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<ol class="takeaways">
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<li>
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<span class="num">01</span>
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<span>We can <strong>distinguish humans from agents</strong> at the transition-kernel level.<span class="stat">Mann–Whitney U = 2.0, p = 0.0006 across 29 labeled sessions.</span></span>
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</li>
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<li>
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<span class="num">02</span>
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<span>Revenue <strong>declines monotonically</strong> in agent-contaminated systems.<span class="stat">Each 1.0 step of contamination α removes ~90,140 in cohort revenue (p < 10<sup>-77</sup>).</span></span>
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</li>
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<li>
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<span class="num">03</span>
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<span>Distributionally robust RL <strong>preserves margin</strong> under worst-case contamination.<span class="stat">Defended policy holds positive COI gap over baseline across α ∈ [0, 1].</span></span>
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</li>
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</ol>
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<p class="deploy-line">Our solution can be forward-deployed to any e-commerce platform to <strong>preserve their COI</strong>.</p>
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<div class="hf-callout">
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<div class="hf-emoji" aria-hidden="true">🤗</div>
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<div>
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<h4>WhoClickedIt — published on Hugging Face.</h4>
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<p>~4k rows of labeled human and agent interaction data across hotel and airline tasks. Open dataset used for training the behavioral kernels.</p>
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<a href="https://huggingface.co/datasets/velocitatem/whoclickedit" target="_blank" rel="noopener">huggingface.co/datasets/velocitatem/whoclickedit</a>
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</div>
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</div>
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</div>
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</section>
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<!-- End takeaways -->
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<!-- Image carousel -->
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<!--
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<section class="hero is-small">
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@@ -428,35 +513,7 @@
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<!-- Video carousel -->
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<section class="hero is-small">
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<div class="hero-body">
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<div class="container">
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<h2 class="title is-3">Defense Scenes</h2>
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<div id="videos-carousel" class="carousel results-carousel">
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<div class="item item-video1">
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<video poster="" id="video1" controls muted loop height="100%" preload="metadata">
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<source src="static/videos/COIFirstPrinciplesScene.mp4" type="video/mp4">
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</video>
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<h2 class="subtitle has-text-centered">COI from first principles.</h2>
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</div>
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<div class="item item-video2">
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<video poster="" id="video2" controls muted loop height="100%" preload="metadata">
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<source src="static/videos/BehaviorKernelConstructionScene.mp4" type="video/mp4">
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</video>
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<h2 class="subtitle has-text-centered">Behavioral kernel construction: learning how humans and agents differ.</h2>
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</div>
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<div class="item item-video3">
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<video poster="" id="video3" controls muted loop height="100%" preload="metadata">
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<source src="static/videos/RobustControlScene.mp4" type="video/mp4">
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</video>
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<h2 class="subtitle has-text-centered">Distributionally robust control loop.</h2>
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</div>
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</div>
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</div>
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</div>
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</section>
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<!-- End video carousel -->
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<!-- Defense Scenes video carousel removed -->
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