Visual diagram
CC-BY-4.0

Reproduction network v2

Community reproductions, independent operator reproductions, and the confidence-tier upgrade path that connects them. The deeper companion to the v1 hub-and-spoke at /resources/reproduction-network-diagram.

Last reviewed 2026-05-08 · By Fredoline Eruo, Independent Local AI Researcher.

Reproduction network v2 — community + operator rings with confidence-upgrade overlayPolar layout with the original benchmark at center, an inner ring of community reproductions on similar hardware, and an outer ring of independent operators on distinct hardware. Spoke arrows from operators back to the center are labeled reproduces. An emerald overlay shows the confidence-tier upgrade path: two independent operators move the row from moderate to high; four reproductions across distinct hardware move it to very-high.reproducesreproducesreproducesreproducesreproducesreproducesreproducesconfidence upgrade pathmoderate → high → very-highORIGINALbenchmarktier: very-highoperator-acommunityoperator-bcommunityoperator-ccommunityoperator-dindependentoperator-eindependentoperator-findependentoperator-gindependentCONFIDENCE THRESHOLDS≥2 independent operators · distinct HW = high≥4 reproductions · distinct HW = very-highcurrent: 7 reproductions · 4 independent · tier very-highcommunity reproduction (same / close hardware)independent operator (distinct hardware)confidence upgrade pathRunLocalAI · CC-BY-4.0

The two rings

The hub is the original benchmark — a measurement that editorial has approved and made public. Reproductions attach to that hub in two ways. The inner ring shows community reproductions: operators who ran the same triple (model, hardware, runtime) on similar or identical hardware, confirming the result is repeatable rather than a one-off. The outer ring shows independent operators who ran the measurement on distinct hardware — different GPU generation, different OS, different runtime version — and still landed inside the tolerance band.

Both rings matter, for different reasons. Community reproduction protects against measurement error: if three operators on the same rig family land within ten percent, the original number is probably right. Independent reproduction protects against generalization error: if four operators on four different hardware classes land within tolerance, the result is robust to setup details, not just a one-machine artifact.

The emerald arrow is the confidence-tier upgrade path. It starts at the hub and sweeps through the rings to show the mechanical rule: two independent operators on distinct hardware moves the row from moderate to high; four reproductions across distinct hardware moves it to very- high. These thresholds are deliberately stricter than the older “independently-reproduced” promotion bar because confidence and reproduction-count are different measurements.

Operator names in the diagram are placeholders. Real attribution lives on the benchmark detail page and on /operators. The diagram’s purpose is to explain the structure — who is in which ring and why — not to credit individuals.

Embed snippet

<a href="https://runlocalai.co/resources/reproduction-network-v2" rel="noopener">RunLocalAI: Reproduction Network v2</a>

License: CC-BY-4.0.

Next steps

The four tiers and the six factors that move a row up the ladder.