add paper

Author: kadubon

works.html

@@ -71,6 +71,26 @@
         "https://github.com/kadubon"
       ],
       "publication": [
+        {
+          "@type": "ScholarlyArticle",
+          "name": "Counterfactually Auditable Lifecycle Certification for Autonomous Agents",
+          "genre": "Preprint",
+          "url": "https://doi.org/10.5281/zenodo.19089134",
+          "datePublished": "2026-03-18",
+          "author": [
+            {
+              "@type": "Person",
+              "name": "K Takahashi"
+            }
+          ],
+          "isPartOf": {
+            "@type": "Periodical",
+            "name": "Zenodo"
+          },
+          "citation": "K Takahashi (2026-03-18). Counterfactually Auditable Lifecycle Certification for Autonomous Agents. Zenodo. https://doi.org/10.5281/zenodo.19089134",
+          "abstract": "This preprint develops a conservative lifecycle-certification framework for autonomous agents under finite routing, monitoring, and deployment budgets. It formalizes counterfactually auditable admission, retirement, monitoring, and deployment rules using direct move inference, replay support, and anytime-valid sentinel monitoring.",
+          "keywords": "autonomous agents, AI agent, lifecycle certification, counterfactual auditability, direct move inference, adaptive sentinel monitoring, e-process, anytime-valid inference, forecast transport, budget-feasible deployment, off-policy evaluation, causal inference, tool-use agents, agent lifecycle management, interface stock"
+        },
         {
           "@type": "ScholarlyArticle",
           "name": "Recursive Self-Improvement Stability under Endogenous Yardstick Drift",
@@ -3818,6 +3838,27 @@ <h1>
        Machine-readable endpoints: <a href="https://kadubon.github.io/github.io/feed.xml">RSS feed</a>, <a href="https://kadubon.github.io/github.io/CITATION.cff">CITATION.cff</a>, <a href="https://kadubon.github.io/github.io/robots.txt">robots.txt</a>, and <a href="https://kadubon.github.io/github.io/sitemap.xml">sitemap.xml</a>.
       </p>
       <ol class="publication-list">
+       <li>
+        <div class="publication-item">
+         <h3>
+          Counterfactually Auditable Lifecycle Certification for Autonomous Agents
+         </h3>
+         <p>
+          <span class="publication-meta">
+           Preprint | Published: 2026-03-18
+          </span>
+          <a href="https://doi.org/10.5281/zenodo.19089134" target="_blank">
+           DOI: 10.5281/zenodo.19089134
+          </a>
+         </p>
+         <p class="publication-abstract">
+          Abstract: This preprint develops a conservative lifecycle-certification framework for autonomous agents under finite routing, monitoring, and deployment budgets. It formalizes counterfactually auditable admission, retirement, monitoring, and deployment rules using direct move inference, replay support, and anytime-valid sentinel monitoring.
+         </p>
+         <p class="publication-keywords">
+          Keywords: autonomous agents, AI agent, lifecycle certification, counterfactual auditability, direct move inference, adaptive sentinel monitoring, e-process, anytime-valid inference, forecast transport, budget-feasible deployment, off-policy evaluation, causal inference, tool-use agents, agent lifecycle management, interface stock
+         </p>
+        </div>
+       </li>
        <li>
         <div class="publication-item">
          <h3>