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    <title>DEV Community: sarang kang</title>
    <description>The latest articles on DEV Community by sarang kang (@corsetmuscle).</description>
    <link>https://dev.to/corsetmuscle</link>
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      <title>DEV Community: sarang kang</title>
      <link>https://dev.to/corsetmuscle</link>
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      <title>S-Scale Operational Prototype Layer v0.1 is now officially published on Zenodo.</title>
      <dc:creator>sarang kang</dc:creator>
      <pubDate>Thu, 28 May 2026 13:13:13 +0000</pubDate>
      <link>https://dev.to/corsetmuscle/s-scale-operational-prototype-layer-v01-is-now-officially-published-on-zenodo-5fgc</link>
      <guid>https://dev.to/corsetmuscle/s-scale-operational-prototype-layer-v01-is-now-officially-published-on-zenodo-5fgc</guid>
      <description>&lt;p&gt;DOI: 10.5281/zenodo.20426530&lt;br&gt;
This document introduces the operational prototype environment of S-Scale (Silhouette Scale) — an exploratory framework investigating how visible-body inputs may be transformed into structured silhouette interpretation outputs through a context-aware operational architecture.&lt;/p&gt;

&lt;p&gt;The release includes:&lt;br&gt;
• operational dashboard workflows&lt;br&gt;
• longitudinal observation environments&lt;br&gt;
• SFT / SSI / recognition structures&lt;br&gt;
• context-aware interpretation pathways&lt;br&gt;
• cloud/API-oriented infrastructure direction&lt;br&gt;
• representative S-Scale Studio operational interfaces&lt;/p&gt;

&lt;p&gt;Figure 1 demonstrates the staged operational workflow:&lt;br&gt;
Dashboard → Client Longitudinal History → Interpretation Output Environment&lt;br&gt;
The public layer remains intentionally simplified.&lt;/p&gt;

&lt;p&gt;Protected operational interpretation systems remain undisclosed.&lt;/p&gt;

&lt;p&gt;GitHub (public conceptual layer):&lt;br&gt;
&lt;a href="https://lnkd.in/g8HkZmQE" rel="noopener noreferrer"&gt;https://lnkd.in/g8HkZmQE&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Zenodo DOI:&lt;br&gt;
&lt;a href="https://lnkd.in/geGzXzyv" rel="noopener noreferrer"&gt;https://lnkd.in/geGzXzyv&lt;/a&gt;&lt;br&gt;
The most precise science for the most profound love.&lt;/p&gt;

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      <category>ai</category>
      <category>architecture</category>
      <category>machinelearning</category>
      <category>science</category>
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