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PLACEHOLDER — Does explicit sampling widen the useful search space of an LLM?
Placeholder Case. Real content, evidence, and artefacts will land here after the first BN voice pass.
Does explicit sampling widen the useful search space of an LLM, and under what conditions does that improve the final answer?
prompt-condition matrix · blind evaluation · candidate-set coverage measurement
PLACEHOLDER — pending voice pass and first real run.
Starting model
I expected direct-answer prompting to win on headline metrics and structured sampling to win on coverage.
What I think now
Untested — this Case is a placeholder until real runs are recorded.
PLACEHOLDER Case — LLM search space
This Case is a placeholder. Real question, method, evidence, and artefacts will be added in a follow-up handoff. Do not treat any text below as a published claim.
Question
Does explicit sampling widen the useful search space of an LLM, and under what conditions does that improve the final answer?
Why this matters
PLACEHOLDER — to be written.
Starting model
PLACEHOLDER — to be written.
What would change my mind?
PLACEHOLDER — to be written.
Method
PLACEHOLDER — to be written.
What happened
PLACEHOLDER — to be written.
Where the obvious explanation failed
PLACEHOLDER — to be written.
Tail Space
PLACEHOLDER — to be written.
What survived
PLACEHOLDER — to be written.
What I think now
PLACEHOLDER — to be written.
What remains uncertain
PLACEHOLDER — to be written.
Practical consequence
PLACEHOLDER — to be written.
Artefacts
PLACEHOLDER — to be written.
Sources
PLACEHOLDER — to be written.
Next test
PLACEHOLDER — to be written.
Published 21 August 2026 · Draft