RESEARCH

A decentralized research network for sign-language intelligence.

Miners commit models. Validators score with rigorous research-grade metrics. Together, we continuously improve sign-language translation through transparent research competition and open science.

Decentralized research network: miners commit models, validators score and verify, subnet UIDs and evaluation results
TOP COMPOSITE · S_TOTAL
Leading composite score
in the latest scored round
CLIPS THIS ROUND
Clips in the round draw
across all slices
SUBMISSIONS SCORED
Scored / committed
in the latest round

RESEARCH SCORING FORMULA

Every submission is scored by the subnet’s own scoring code: translation quality on the main slices, generalization to unseen canary conditions, and pose fidelity — gated by deranged-reference grounding.

Stotal=0.60Stranslation+0.25Sgeneralization+0.15Spose
Stranslation
Weight: 0.60
0.50 BLEURT + 0.30 chrF + 0.20 BLEU over the main slices.
Sgeneralization
Weight: 0.25
Canary-to-main BLEURT ratio against the 0.85 target.
Spose
Weight: 0.15
Normalized, inverted DTW-PA-MPJPE over body and hands.
Gcanary
Gate: floor 1.25×
Deranged-reference grounding ratio; below the floor scores zero (R14).
Bootstrap
Leader: p < 0.05
The champion flips only on a statistically significant win.

LIVE MODEL LEADERBOARD

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STATUS

NETWORK OVERVIEW

Round records, scoring code and model outputs are published; anyone can re-score a round.
How validation works
ACTIVE VALIDATORS
LATEST ROUND
Round

AVG TOTAL SCORE
Average S_TOTAL across
scored submissions
EMISSIONS BURNED
Undistributed share of the
round's emissions, burned
Transparent metrics. Open research. Collective progress.