Auto71%Harbor: pendingAbstract Reasoning

DrillBench

Autoregressive Drillhole Modelling Under Distribution Shift

A benchmark of 49,671 Western Australian drillholes for next-layer prediction and autoregressive stratigraphic generation across spatial and geological distribution shifts.

How to run

ltb · drillbench
$ npm i -g lettokenburn-cli
$ ltb bench info drillbench

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

6 sourced entries
HarnessSourceConfidenceLink
Gemini Pro59.7generative (hosted)IndependentmediumOct 1, 2026arxiv.org
GPT-6 Astra53.2generative (hosted)IndependentmediumOct 1, 2026arxiv.org
Qwen3 14B51.5likelihood + pmiIndependentmediumOct 1, 2026arxiv.org
Qwen3-32B48.5likelihood + pmiIndependentmediumOct 1, 2026arxiv.org
Phi-447.4likelihood + pmiIndependentmediumOct 1, 2026arxiv.org
Qwen3 8B35.2generative (bridge)IndependentmediumOct 1, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
Loading community runs…

About

DrillBench comprises 49,671 mineral-exploration drillholes with layer-level and cell-level representations. It evaluates models on next-layer prediction and free-running generation tasks across a graded transfer spectrum from local to cross-province shifts.

Scoring involves benchmarking classical, geostatistical, and neural models to reveal a 'transfer boundary' where spatial conditioning degrades under shift while autoregressive models remain robust. The benchmark supports evaluating pretraining and retrieval strategies for generalization.