AI Code Trust Gap: Call-Graph Provenance vs Guesswork to Hit 90% Cross-File Coverage

AI code retrieval can pass staging only if at least 90% of cross-file symbols carry replayable caller→callee call-graph paths with file:line anchors to a named entry point. Independent technical note mirroring the canonical version: https://indexical.dev/blog/ai-code-trust-gap-call-graph-provenance-vs-guesswork-to-hit-90-cross-file-coverage.php

Authors

Travis Jordan

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-11-04
DOI: https://doi.org/10.5281/zenodo.23964549
Primary Topic: Software Engineering Research
Type: preprint

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preprint

AI Code Trust Gap: Call-Graph Provenance vs Guesswork to Hit 90% Cross-File Coverage

Travis Jordan

Nov 4, 2026

Zenodo (CERN European Organization for Nuclear Research)

Software Engineering Research

preprint

AI Code Trust Gap: Call-Graph Provenance vs Guesswork to Hit 90% Cross-File Coverage

Travis Jordan

November 4, 2026preprint en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Software Engineering Research

DOI Open Access PDF OpenAlex

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AI Code Trust Gap: Call-Graph Provenance vs Guesswork to Hit 90% Cross-File Coverage — Travis Jordan · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS