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AI use log

A dated, append-only record of AI-assisted planning/work sessions on this package and its paper (paper/manuscript_marine.qmd), in the spirit of the group's "always log AI use" practice. This is a summary log, not a raw transcript — one entry per session, capturing what was decided and why.

2026-08-08 — Scope stress correctly; add efficiency, real-data deployment, and agent/golden-dataset sections to the manuscript

Tool: Claude Code (Claude Sonnet 5).

Prompted by: codameter has been tested against a larger-scale deployment (surfacing real computational bottlenecks, now fixed) and a real-data companion pipeline (noisepy-dvv-cloud, correlating CI.LJR via NoisePy on AWS Batch Fargate Spot) is now running. The manuscript needed to catch up, and the existing §sec:stress section needed a scope correction.

Decisions made (all reviewed and approved by the author before any file was edited):

  • §sec:stress is not deleted, but its dv/v-to-stress conversion methodology (the acoustoelastic equation, its best-practice table, and the "companion framework, Denolle in prep." forward promise) is cut. The section is rewritten as an explicit scope statement: this paper stops at the depth-resolved velocity-change posterior and its covariance; it does not convert that to stress, and does not promise to. Motivating mentions of stress elsewhere (abstract, §bayes, §depth) are left as-is since they don't have this problem — they say the covariance is useful input to such work, not that this paper performs it.
  • A new section, "Toward deployment: a real-data retrospective pipeline" (§sec:deployment), describes the noisepy-dvv-cloud architecture and its validation protocol against the published Clements & Denolle (2023) CI.LJR result. Written architecture-only at the time of this edit (the real pipeline was, per live recon, an early scaffold with zero results produced) — left an explicit placeholder for the dv/v(t) figure the author is producing separately, with an instruction not to describe results ahead of having them.
  • A short paragraph on the recent vectorized-fast-path speedups was added to the end of §sec:multiverse. The cited numbers were independently re-measured in this session rather than trusted from the commit message/CHANGELOG, which turned out to be optimistic (measured ~2x/~3x/~3x across repeated runs vs. previously documented ~2.3x/~4.9x/~4x) — CHANGELOG.md was also corrected to match, since leaving it wrong would be inconsistent with this paper's own thesis about honest, verified reporting.
  • The Introduction's one-sentence description of codameter's agentic/skill layer was reworded to match what codameter.frugalmind/golden.py/ private_golden.py actually do (RMS-recovery scoring against seeded synthetic golden cases, including a hidden-truth variant), replacing an inaccurate "evaluation against base models" framing.
  • Opportunistic fix: the Data Availability section referenced a stale manuscript filename (paper/manuscript.qmd, pre-dating the switch to manuscript_marine.qmd under gji.cls).

What the author did, not delegated: the CI.LJR real-data run itself (in progress separately); the go/no-go on all of the above via an explicit plan-review step before implementation.