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 "name": "Traceable Composition Responsibility",
 "text": "Attribution is a system property, not a label added after failure. Kroll's account of traceability connects the provenance of components, design choices, and operation to specific outcomes and to the question of whom to hold responsible. He also draws a necessary boundary. A mechanical path from input to output does not explain why the system works as it does. Traceability depends on the system in use, its origins, and the decisions that produced its behavior.\n\nThat distinction is especially important when a workflow crosses independently operated components. A record that an authorized call occurred may identify the caller. It does not establish which component contributed to the harmful outcome, whether the component behaved within its assigned function, or which design and operational decisions made the outcome possible. Without that evidence, responsibility becomes a contest over assertions rather than a finding grounded in the composition.\n\nThe source does not prove legal fault, measure incentive effects, or study sovereign local agent runtimes. It treats traceability as an enabling value for accountability and risk management. The institutional implication is therefore bounded. A runtime should preserve contribution provenance at each composition boundary, bind components and decisions to outcomes, and retain enough context for independent review. The governing rule must separately specify how that evidence becomes responsibility, remedy, or changed incentives. Traceability cannot itself choose the rule. It makes a defensible choice possible and exposes the absence of one.",
 "author": {
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-08-26",
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  "accountability",
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  "responsibility"
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  "The source addresses computing systems generally rather than sovereign local agent runtimes or independently governed multi-agent production networks.",
  "Traceability is presented as an enabling and instrumental value. The paper does not prove that a trace establishes legal fault or causal responsibility.",
  "The paper does not measure how traceability changes participant incentives or quantify prevention effects.",
  "The requirements map does not select a governing allocation rule, remedy, or liability standard for a composed outcome.",
  "The source identifies important technology and practice gaps and does not report a production deployment that closes them."
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  "name": "Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems",
  "url": "https://arxiv.org/abs/2101.09385"
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  "citation": "Wulf A. Kaal, Institutional Requirements for Sovereign Local Agent Runtimes (2026). SSRN: https://ssrn.com/abstract=7314479",
  "paper": "Wulf A. Kaal, Institutional Requirements for Sovereign Local Agent Runtimes",
  "authors": [
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  "year": "2026",
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    "text": "We can model this by considering traceability as a property of a system, a set of elements which interact to produce aggregated behavior by virtue of those interactions",
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    "text": "traceability seeks to relate disclosed information to the problem of whom to hold responsible for these behaviors in cases both of failure and success, providing a link between transparency and disclosure of system provenance and determinations of accountability",
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