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Bandit assumes stationarity in a non-stationary system

Status: Open.

#9 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Jan 2, 2026

Cache hits bypass the learning loop

Status: Open.

#8 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Jan 2, 2026

Selection bias in cascading limits exploration of premium models

Status: Open.

#7 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Jan 2, 2026

Reward normalization and constraint-based optimization for bandit learning

Status: Open.

#6 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Jan 2, 2026

Define cache invalidation and trust-decay strategies for LLM outputs

Status: Open.

#5 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Dec 30, 2025

Improve observability and explainability of routing decisions

Status: Open.

#4 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Dec 30, 2025

Add evaluation harness and quality regression guardrails

Status: Open.

#3 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Dec 30, 2025

Design pluggable backend for adaptive routing state (file → sqlite / redis)

Status: Open.

#2 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Dec 30, 2025

Upgrade complexity classification to 3-class (simple / medium / complex)

Status: Open.

#1 In Tokenomics-AI/Tokenomics;

· NayanKanaparthi opened on Dec 30, 2025