> For the complete documentation index, see [llms.txt](https://docs.inferix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inferix.io/inferix-whitepaper/implementation/integration.md).

# Integration

We integrate the Active Noise Generation and Verification scheme into the [original rendering flow](/inferix-whitepaper/introduction/rendering-network-using-crowdsourced-gpu.md#rendering-network-using-crowdsourced-gpu) by placing respectively the noise generation and the noise verification into the rendering task controller of the *manager* and the proof-of-rendering verification of the *verifier*. The completed flow is depicted in [Figure 7](#fig_rendering_flow_with_angv).

#### Figure 7 <a href="#fig_rendering_flow_with_angv" id="fig_rendering_flow_with_angv"></a>

<figure><img src="/files/qXekbR2nVdn8eVxSfGkW" alt=""><figcaption><p>Rendering flow with Active Noise Generation and Verification</p></figcaption></figure>

In the introductory section of the paper, we have discussed the [problem of rendering verification](/inferix-whitepaper/introduction/rendering-verification-problem.md), that is to automatically verify whether the submitted scenes of users are genuinely rendered or not. The ANGV is proposed to deal with the challenge, ANGV serves then as a *proof of rendering* (PoR), inspired from the *proof of ownership* schemes [\[2\]](/inferix-whitepaper/references.md#2), [\[3\]](/inferix-whitepaper/references.md#3). Other components of the Inferix network simply refers PoR for the underlying ANGV algorithm.