pith:XG67HSVB
Genflow Ad Studio: A Compound AI Architecture for Brand-Aligned, Self-Correcting Video Generation
Genflow's multi-stage pipeline with Brand DNA extraction and multi-agent QC raises brand-compliant video generation yield from 42% to 89%.
arxiv:2605.16748 v1 · 2026-05-16 · cs.GR · cs.AI · cs.CV · cs.LG · cs.MA · cs.MM
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Claims
By transitioning to a multi-stage, self-correcting pipeline, Genflow improved the yield of brand-compliant video generations from 42% to 89%, establishing a robust framework for scalable, enterprise-grade generative systems.
The assumption that evaluator agents can accurately critique generated frames against the extracted Brand DNA parameters and that the generator models can refine outputs until a deterministic consensus is reached without introducing new visual inconsistencies or brand violations.
Genflow uses a retrieval-based Brand DNA module and an adversarial multi-agent quality control loop to raise brand-compliant video generation yield from 42% to 89%.
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| First computed | 2026-05-20T00:03:19.536956Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/XG67HSVBIK5BTL2ABNWQV4TFSH \
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Canonical record JSON
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