Validating literature-derived materials data for AI reuse

Evidence & verification

Source level

Preprint (not peer-reviewed)
Grounded in a preprint that had not completed peer review at the time the source was checked.

Outcome verification

Author-reported
Outcomes are reported by the team that built the system. The entry is source-checked against the team's own publications; not independently reproduced.

Sources checked

2026-10-17 (UTC)

AI editorial review of the primary abstract only. Descriptive scope and any reported results are limited to that source.

Source-checked does not mean independently reproduced. See the Method page for how these labels are assigned.

Sources (1)

Research applicability

Helps researchers design provenance-aware checks when assembling literature-derived materials datasets for machine learning.

Getting started

Read the cited abstract and paper, then assess the stated adoption requirements. Adoption suggestions are editorial and untested, not an executed recipe.

Maintenance

Research-publication record; implementation maintenance not verified.

License

Software and dataset licensing not independently audited.

Workflow & human oversight

Workflow level left unspecified: the abstract does not establish operational boundaries and researcher responsibilities sufficiently for a level claim. Researchers remain responsible for domain validation, safety and interpretation.

Workflow level is not an evidence score; higher is not better evidence.

Approach

The authors check text against figures, axis annotations, units and measurement context, identifying plausible discrepancies that can propagate as structured label noise.

Outcomes (as reported by the originating team)

The authors report recurrent reporting discrepancies and a cross-database example with a 100-fold conductivity error; this example was not independently reconstructed.

Limitations

Abstract-only primary-source review. No software, hardware, dataset or reported outcome independently reproduced; detailed methods, evaluation settings, distribution and licensing were not inspected. The retrieved record reports July 2026 despite the 2609 identifier prefix; chronology is unresolved and no exact publication date is asserted.

Reproducibility

Primary abstract and bibliographic identity checked on 2026-10-17; no execution or outcome reproduction.

Adoption requirements

Editorial, untested guidance: retain source-article locations and measurement context alongside extracted values; have a domain researcher resolve unit, axis and text-figure discrepancies before model training. Observe article and dataset reuse rights. No automated validator or dataset download was verified.

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