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Benchmark & Evidence Programme

Make quantitative claims inspectable across institutional boundaries.

Turn benchmark results into signed scorecards, evidence exports, public publications and institution-linked provenance without collapsing unrelated domains into a meaningless universal ranking.

The decision problem

Start with the bottleneck that consumes expensive evidence.

A benchmark number is weak evidence when the methodology, source data, protocol, signing identity and publication history are unclear. Institutional collaboration adds another problem: evidence must move between organisations without losing provenance or requiring every private source artifact to become public.

PROGRAMME OBJECTIVE

Create a verifiable proof layer around quantitative claims so partners, technical buyers and research organisations can inspect what was measured, how it was produced and which key signed the record.

Operating workflow

From objective to evidence and next action.

  1. 01Define the benchmark, metric direction, guards and evidence requirements.
  2. 02Run or ingest the benchmark against the relevant model, campaign or scientific artifact.
  3. 03Create a signed scorecard that preserves domain-specific metrics and evidence coverage.
  4. 04Publish an explicit benchmark snapshot only when the owning organisation chooses to disclose it.
  5. 05Export canonical evidence containing hashes, signatures, public keys and verification instructions.
  6. 06Register institution-controlled Ed25519 public keys for external evidence exchange.
  7. 07Verify signed external submissions against the registered institution key and record a LargeQuant receipt.
  8. 08Federate accepted provenance records while retaining the original source hash, signing identity and verification state.
Quantitative components

The programme combines modelling, execution and evidence.

Benchmark suites

Explicit metrics, directions, guards and deterministic benchmark definitions.

Signed scorecards

Domain panels and evidence coverage with cryptographic integrity.

Evidence export

Portable canonical bundles with hashes, signatures and verification data.

Public publication

Explicit opt-in benchmark snapshots designed for independent inspection.

Institutional keys

Registered Ed25519 public keys and fingerprints for source verification.

Provenance federation

Link institution-signed external evidence into a source-preserving provenance record.

Typical inputs

What connects into the programme.

  • Benchmark definitions and source evidence
  • Model or programme evaluation outputs
  • Institution public keys and fingerprints
  • External signed benchmark envelopes
  • Publication metadata selected for disclosure
Programme outputs

What the team gets back.

  • Signed benchmark runs and scorecards
  • Public benchmark snapshots
  • Portable evidence bundles
  • Institution-linked external submission receipts
  • Federated provenance records and verification endpoints
Where value is created

Why the operating loop matters.

  • Give technical reviewers more than an unsourced performance number.
  • Preserve the methodology and signing identity behind published results.
  • Exchange benchmark evidence across organisations without flattening domain differences.
  • Keep private underlying artifacts separate from the public proof layer.
  • Create a durable foundation for institutional verification and research collaboration.
Build around your real system

Map your data, models, solvers, experiments and decision criteria into a LargeQuant programme.