Qualification: Challenges in Deploying Machine Learning: A Survey of Case Studies

Record: kaal:position:2026-08-08-329 · 2026-08-08

Paleyes, Urma, and Lawrence distinguish academic machine learning from deployment in a real-world production system. Their survey identifies challenges at every stage of the deployment workflow. This supports treating a proposed production system as a separate evidentiary object. It does not validate Kaal's registered forward program, the Agentic Reputation Substrate, or any production implementation.

Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.

Holds when

The response is limited to the exact arXiv author-manuscript passages and the one mapped Kaal claim.
External evidence level: complete peer-reviewed author manuscript from arXiv with a concordant Crossref journal record and exact page 1 passages.
Mapping review tier: independent substantive scholarly-growth qualification.
The survey does not examine Kaal's registered forward program, Agentic Reputation Substrate, or any production implementation.
It does not establish that Kaal's specific forward program is properly registered or that any proposed production design will work.
The relationship is limited to the production-system evidence boundary.
Crossref Spanish, Semantic Scholar search, and four mapped Semantic Scholar records returned HTTP 429. No rate-limited response was promoted.

Current debate

Challenges in Deploying Machine Learning: A Survey of Case Studies

Scholarly basis

kaal:claim:7261018-033
Wulf A. Kaal, Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort (2026). SSRN: https://ssrn.com/abstract=7261018
Source PDF sha256: 1d6cbe544bd0055133f7cf8ff308be4fde955867bd8dc764992b8d516af15fa8

Evidence and mapping

Evidence: complete peer-reviewed author manuscript from arXiv with a concordant Crossref journal record and exact page 1 passages
Review tier: independent substantive scholarly-growth qualification
Mapping confidence: 0.97
Mapping ambiguous: false

Topics

research-methods institutional-design risk-and-incentives scholarly-growth-coverage scholarly-literature ml-deployment production-systems evidence-provenance reproducibility

Provenance

Affirmed in kaal-review:2026-08-12:scholarly-growth-7261018-033-reviewed-v1 on 2026-08-08. Review record.

Verify

Canonical markdown sha256: 7f883bdee594f2c6852aefbb2fc9a793a803edf89516e9e94cd50ccd0b442bb9
curl -s https://wulfkaal.github.io/positions/2026-08-08-329.md | sha256sum