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    <responseDate>2026-10-10T17:23:59Z</responseDate>
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    <identifier>10.57760/sciencedb.46407</identifier>
    <datestamp>2026-08-21T17:12:34Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-08-21</dc:date>
  <dc:title>Agent Approval Laundering: An Approval-to-Action Trace Benchmark and Reproducibility Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.46407</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset supports the study &amp;ldquo;Agent Approval Laundering: Transitive Effects Beyond the Approved Invocation.&amp;rdquo; It examines a structural record-coverage failure in AI coding agents: an approval record may accurately identify the surface command or tool call while omitting the transitive effects activated by the underlying workflow. The dataset contains an append-only ledger of 149 execution attempts and 149 corresponding hash-bound run snapshots, including 139 successful runs. Its primary benchmark view comprises 111 deduplicated successful agent-task records. It also provides 78 reproducible analytical views covering captured approval objects, decision-time metadata, post-execution traces and artifact evidence, fixed-commit real-project cases, prospective holdout experiments, independent oracle reconstruction, and effect-bound approval evaluation. Raw evidence is kept immutable and separated from regenerated analyses; manifests and SHA-256 digests support integrity checking and reproduction of the study&amp;rsquo;s principal results. The dataset can be used to measure approval-record coverage, compare record representations, and evaluate mechanisms that bind predicted transitive effects and provenance before authorization.</dc:description>
  <dc:subject>approval laundering; approval records; transitive effects; systems security</dc:subject>
  <dc:creator>张晋千</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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