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Generation Status

Last updated: 2026-05-27 15:57 EDT · 237 total runs

Summary

Metric Value
Pages generated 112
Approved (conf ≥ 0.8) 98 (87%)
With MVB 0
Avg reviewer confidence 0.76
Committed to git 97

Pages

Track Topic Type Status Conf MVB Rev Committed
01-ai agentic-rlvr-reasoner-index arc-index ⚠️ flagged 0.66 — 2 —
01-ai alignment-safety core-concept ✅ approved 0.75 — 0 ✓
01-ai chain-of-thought arc-step ✅ approved 0.80 — 1 ✓
01-ai mechanistic-interpretability core-concept ✅ approved 0.79 — 0 ✓
01-ai mixture-of-experts arc-step ✅ approved 0.81 — 1 ✓
01-ai reward-modeling arc-step ✅ approved 0.83 — 1 ✓
01-ai rlhf arc-step ✅ approved 0.81 — 1 ✓
01-ai transformer core-concept ✅ approved 0.81 — 0 ✓
02-generative-modeling consistency-models arc-step ✅ approved 0.73 — 1 ✓
02-generative-modeling diffusion-models arc-step ⚠️ flagged 0.66 — 2 —
02-generative-modeling flow-matching arc-step ⚠️ flagged 0.65 — 2 —
02-generative-modeling generative-adversarial-networks core-concept ✅ approved 0.84 — 2 ✓
02-generative-modeling generative-stack-index arc-index ✅ approved 0.77 — 2 ✓
02-generative-modeling latent-diffusion-models arc-step ✅ approved 0.81 — 1 ✓
02-generative-modeling score-matching arc-step ✅ approved 0.77 — 1 ✓
02-generative-modeling variational-autoencoders core-concept ✅ approved 0.82 — 0 ✓
03-representation-learning contrastive-learning arc-step ⚠️ flagged 0.68 — 2 —
03-representation-learning data-augmentation arc-step ✅ approved 0.78 — 1 ✓
03-representation-learning jepa core-concept ✅ approved 0.72 — 0 ✓
03-representation-learning masked-autoencoders arc-step ❌ error 0.74 — 2 ✓
03-representation-learning representation-learning arc-step ✅ approved 0.71 — 2 ✓
03-representation-learning self-supervised-learning core-concept ✅ approved 0.77 — 0 ✓
03-representation-learning self-supervised-vision-foundations-index arc-index ✅ approved 0.81 — 2 ✓
03-representation-learning simclr arc-step ✅ approved 0.87 — 2 ✓
04-neural-networks-deep-learning adaptive-optimizers arc-step ✅ approved 0.71 — 1 ✓
04-neural-networks-deep-learning backpropagation arc-step ❌ error 0.79 — 2 ✓
04-neural-networks-deep-learning batch-normalization arc-step ⚠️ flagged 0.63 — 2 —
04-neural-networks-deep-learning gradient-descent arc-step ⚠️ flagged 0.60 — 2 —
04-neural-networks-deep-learning layer-normalization core-concept ✅ approved 0.72 — 0 ✓
04-neural-networks-deep-learning normalization core-concept ✅ approved 0.70 — 1 ✓
04-neural-networks-deep-learning optimization core-concept ✅ approved 0.71 — 1 ✓
04-neural-networks-deep-learning regularization arc-step ✅ approved 0.79 — 1 ✓
04-neural-networks-deep-learning residual-connections core-concept ✅ approved 0.79 — 0 ✓
04-neural-networks-deep-learning residual-networks core-concept ✅ approved 0.78 — 0 ✓
04-neural-networks-deep-learning scaling-laws core-concept ✅ approved 0.83 — 2 ✓
04-neural-networks-deep-learning training-fundamentals-index arc-index ❌ error 0.82 — 2 ✓
04-neural-networks-deep-learning transformer-architecture core-concept ✅ approved 0.82 — 2 ✓
04-neural-networks-deep-learning transformers core-concept ✅ approved 0.78 — 0 ✓
05-statistical-probabilistic-ml bayesian-deep-learning-index arc-index ✅ approved 0.83 — 2 ✓
05-statistical-probabilistic-ml bayesian-inference arc-step ✅ approved 0.83 — 2 ✓
05-statistical-probabilistic-ml bayesian-neural-networks arc-step ✅ approved 0.76 — 1 ✓
05-statistical-probabilistic-ml bayesian-optimization core-concept ✅ approved 0.79 — 0 ✓
05-statistical-probabilistic-ml em-algorithm core-concept ✅ approved 0.79 — 0 ✓
05-statistical-probabilistic-ml expectation-maximization core-concept ✅ approved 0.86 — 0 ✓
05-statistical-probabilistic-ml gaussian-processes arc-step ✅ approved 0.76 — 1 ✓
05-statistical-probabilistic-ml mcmc arc-step ⚠️ flagged 0.66 — 2 —
05-statistical-probabilistic-ml probabilistic-programming arc-step ✅ approved 0.71 — 2 ✓
05-statistical-probabilistic-ml uncertainty-quantification arc-step ❌ error 0.71 — 2 ✓
05-statistical-probabilistic-ml variational-inference arc-step ✅ approved 0.73 — 2 ✓
06-reinforcement-learning actor-critic core-concept ✅ approved 0.79 — 0 ✓
06-reinforcement-learning mdp arc-step ✅ approved 0.79 — 1 ✓
06-reinforcement-learning model-based-reinforcement-learning arc-step ✅ approved 0.76 — 1 ✓
06-reinforcement-learning policy-gradient arc-step ✅ approved 0.77 — 1 ✓
06-reinforcement-learning policy-gradients core-concept ✅ approved 0.86 — 0 ✓
06-reinforcement-learning ppo core-concept ✅ approved 0.78 — 0 ✓
06-reinforcement-learning q-learning arc-step ⚠️ flagged 0.53 — 2 —
06-reinforcement-learning world-models arc-step ✅ approved 0.81 — 2 ✓
06-reinforcement-learning world-models-and-imagination-index arc-index ⚠️ flagged 0.63 — 2 —
07-attention-memory-reasoning-continual attention core-concept ✅ approved 0.74 — 0 ✓
07-attention-memory-reasoning-continual in-context-learning core-concept ✅ approved 0.81 — 0 ✓
07-attention-memory-reasoning-continual long-context core-concept ✅ approved 0.75 — 0 ✓
07-attention-memory-reasoning-continual multi-head-attention core-concept ✅ approved 0.82 — 0 ✓
07-attention-memory-reasoning-continual positional-encoding core-concept ✅ approved 0.81 — 2 ✓
07-attention-memory-reasoning-continual retrieval-augmented-generation core-concept ✅ approved 0.84 — 0 ✓
08-causal-statistical-inference causal-deep-learning-index arc-index ❌ error 0.76 — 2 ✓
08-causal-statistical-inference causal-discovery core-concept ✅ approved 0.74 — 0 ✓
08-causal-statistical-inference causal-representation-learning arc-step ✅ approved 0.76 — 1 ✓
08-causal-statistical-inference counterfactuals arc-step ✅ approved 0.84 — 2 ✓
08-causal-statistical-inference do-calculus arc-step ✅ approved 0.77 — 1 ✓
08-causal-statistical-inference instrumental-variables core-concept ✅ approved 0.81 — 0 ✓
08-causal-statistical-inference mediation-analysis core-concept ✅ approved 0.76 — 0 ✓
08-causal-statistical-inference policy-evaluation core-concept ✅ approved 0.76 — 1 ✓
08-causal-statistical-inference potential-outcomes core-concept ✅ approved 0.81 — 0 ✓
08-causal-statistical-inference structural-causal-models arc-step ✅ approved 0.82 — 1 ✓
09-algorithms-systems-for-ai attention-mechanisms core-concept ✅ approved 0.67 — 2 —
09-algorithms-systems-for-ai automatic-differentiation core-concept ✅ approved 0.73 — 2 ✓
09-algorithms-systems-for-ai communication-collectives core-concept ✅ approved 0.76 — 0 ✓
09-algorithms-systems-for-ai compiler-optimizations-for-ml core-concept ✅ approved 0.72 — 0 ✓
09-algorithms-systems-for-ai connected-topics-template-09-algorithms-systems-for-ai core-concept ✅ approved 0.79 — 2 ✓
09-algorithms-systems-for-ai constrained-learning core-concept ✅ approved 0.68 — 2 —
09-algorithms-systems-for-ai convex-optimization core-concept ✅ approved 0.70 — 2 ✓
09-algorithms-systems-for-ai curriculum-learning core-concept ✅ approved 0.77 — 0 ✓
09-algorithms-systems-for-ai curriculum-resampling core-concept ✅ approved 0.79 — 0 ✓
09-algorithms-systems-for-ai data-parallelism core-concept ✅ approved 0.82 — 1 ✓
09-algorithms-systems-for-ai differentiable-optimization core-concept ✅ approved 0.75 — 1 ✓
09-algorithms-systems-for-ai distributed-training core-concept ✅ approved 0.68 — 1 —
09-algorithms-systems-for-ai distributed-training-arc core-concept ✅ approved 0.79 — 2 ✓
09-algorithms-systems-for-ai flash-attention core-concept ✅ approved 0.70 — 0 ✓
09-algorithms-systems-for-ai gradient-bucketing core-concept ✅ approved 0.81 — 0 ✓
09-algorithms-systems-for-ai inference-optimization core-concept ✅ approved 0.74 — 0 ✓
09-algorithms-systems-for-ai kv-cache core-concept ✅ approved 0.73 — 0 ✓
09-algorithms-systems-for-ai kv-cache-management core-concept ✅ approved 0.82 — 0 ✓
09-algorithms-systems-for-ai llm-architecture-optimizations core-concept ✅ approved 0.74 — 0 ✓
09-algorithms-systems-for-ai llm-inference core-concept ✅ approved 0.71 — 0 ✓
09-algorithms-systems-for-ai mixed-precision-training core-concept ✅ approved 0.77 — 0 —
09-algorithms-systems-for-ai model-deployment core-concept ✅ approved 0.78 — 0 ✓
09-algorithms-systems-for-ai model-parallelism core-concept ✅ approved 0.67 — 0 —
09-algorithms-systems-for-ai pipeline-parallelism core-concept ✅ approved 0.80 — 2 ✓
09-algorithms-systems-for-ai policy-gradient-theory core-concept ✅ approved 0.72 — 1 ✓
09-algorithms-systems-for-ai post-training-quantization core-concept ✅ approved 0.80 — 2 ✓
09-algorithms-systems-for-ai precision-scaling core-concept ✅ approved 0.78 — 0 ✓
09-algorithms-systems-for-ai quantization core-concept ✅ approved 0.88 — 2 —
09-algorithms-systems-for-ai quantization-aware-training core-concept ✅ approved 0.72 — 2 ✓
09-algorithms-systems-for-ai quantization-basics core-concept ✅ approved 0.78 — 0 ✓
09-algorithms-systems-for-ai reinforcement-learning-schedulers core-concept ✅ approved 0.74 — 1 ✓
09-algorithms-systems-for-ai tensor-cores core-concept ✅ approved 0.78 — 0 ✓
09-algorithms-systems-for-ai tensor-parallelism core-concept ✅ approved 0.90 — 2 ✓
10-complexity-cognition-natural-intelligence compositionality core-concept ✅ approved 0.79 — 0 ✓
10-complexity-cognition-natural-intelligence double-descent core-concept ✅ approved 0.81 — 0 ✓
10-complexity-cognition-natural-intelligence emergence core-concept ✅ approved 0.79 — 1 ✓
10-complexity-cognition-natural-intelligence generalization core-concept ✅ approved 0.79 — 0 ✓
10-complexity-cognition-natural-intelligence scaling-collapse core-concept ✅ approved 0.77 — 0 ✓

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