Trust is a property of the evidence chain.
LargeQuant uses deterministic identity, cryptographic integrity, bounded execution and evidence-linked quantitative workflows so important results remain inspectable.
Versioned model and record identity
Evidence-bearing records can bind exact model, protocol, artifact and software identities.
SHA-256 content integrity
Content hashes are used across datasets, artifacts, evidence and release provenance.
Ed25519 signatures
Signed evidence protects exact payload integrity and binds the record to a signing key.
Trusted adapter boundaries
External solver and HPC interfaces use bounded, approved execution paths instead of arbitrary user shell commands.
Quantitative gates
Policy-bound autonomy can pause when candidate evidence does not satisfy deterministic and probabilistic criteria.
Institution-linked evidence
Registered institutional keys, signed external submissions and provenance records preserve where quantitative evidence came from.
Know exactly what a signature establishes.
A valid signature proves that a specific key signed an exact payload and that the signed payload has not changed. Scientific adequacy still depends on the underlying methodology, evidence and domain review.
Detect whether an evidence payload has changed since signing.
Link evidence to the key that produced or registered it.
Preserve the data/model/execution context required to reconstruct a quantitative result.
Trace a result backwards.
A quantitative claim can be linked to dataset lineage, model protocol, execution artifacts, uncertainty assumptions, decision rules, benchmark evidence and institutional provenance.
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