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$DOXA

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Snapshot Window: 2026-08-08 14:30 UTC · ← Back to Crypto Overview

Tracked Posts
1
Total Impressions
106
Total Likes
13
Retweets & Quotes
6
Comments
6

Social Momentum Summary

Total Engagement - Comments: 6, Retweets: 6, Likes: 13, Impressions: 106

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@Cripson01

One interesting thing to understand about LLM inference on Ritual: There are multiple resource layers involved in a single LLM request. When a contract calls Ritual’s LLM precompile at 0x0802, the request uses an OpenAI-compatible messagesJson format and is ABI-encoded before

Infographic titled 'Understanding an LLM Request on Ritual' showing the process flow: Prompt → messages.json → ABI Encoding → Calldata → LLM Precompile 0x0802 → TEE Inference → Response, with three components labeled Transaction, Context, and Compute.

AI visual note: Infographic titled 'Understanding an LLM Request on Ritual' showing the process flow: Prompt → messages.json → ABI Encoding → Calldata → LLM Precompile 0x0802 → TEE Inference → Response, with three components labeled Transaction, Context, and Compute.

❤️ 50 likes · 🔁 0 retweets · 💬 25 comments 👁️ 321 views

Contributing Voices for $DOXA

@dinodoxa

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