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Generation Status

Last updated: 2026-05-27 04:44 EDT · 106 total runs

Summary

Metric Value
Pages generated 71
Approved (conf ≥ 0.8) 64 (90%)
With MVB 0
Avg reviewer confidence 0.77
Committed to git 63

Pages

Track Topic Type Status Conf MVB Rev Committed
01-ai alignment-safety core-concept ✅ approved 0.75 — 0 ✓
01-ai chain-of-thought core-concept ✅ approved 0.76 — 2 ✓
01-ai mechanistic-interpretability core-concept ✅ approved 0.79 — 0 ✓
01-ai mixture-of-experts core-concept ✅ approved 0.76 — 0 ✓
01-ai reward-modeling core-concept ✅ approved 0.74 — 0 ✓
01-ai rlhf core-concept ✅ approved 0.70 — 0 ✓
01-ai transformer core-concept ✅ approved 0.81 — 0 ✓
02-generative-modeling consistency-models core-concept ✅ approved 0.83 — 2 ✓
02-generative-modeling diffusion-models core-concept ✅ approved 0.81 — 0 ✓
02-generative-modeling flow-matching core-concept ✅ approved 0.71 — 2 ✓
02-generative-modeling generative-adversarial-networks core-concept ✅ approved 0.84 — 2 ✓
02-generative-modeling latent-diffusion-models core-concept ✅ approved 0.79 — 0 ✓
02-generative-modeling score-matching core-concept ✅ approved 0.86 — 2 ✓
02-generative-modeling variational-autoencoders core-concept ✅ approved 0.82 — 0 ✓
03-representation-learning contrastive-learning core-concept ✅ approved 0.79 — 0 ✓
03-representation-learning jepa core-concept ✅ approved 0.72 — 0 ✓
03-representation-learning masked-autoencoders core-concept ✅ approved 0.74 — 0 ✓
03-representation-learning representation-learning core-concept ✅ approved 0.74 — 0 ✓
03-representation-learning self-supervised-learning core-concept ✅ approved 0.77 — 0 ✓
03-representation-learning simclr core-concept ✅ approved 0.82 — 0 ✓
04-neural-networks-deep-learning backpropagation core-concept ✅ approved 0.76 — 2 ✓
04-neural-networks-deep-learning batch-normalization core-concept ✅ approved 0.82 — 0 ✓
04-neural-networks-deep-learning optimization core-concept ✅ approved 0.71 — 1 ✓
04-neural-networks-deep-learning regularization core-concept ✅ approved 0.79 — 0 ✓
04-neural-networks-deep-learning residual-connections core-concept ✅ approved 0.79 — 0 ✓
04-neural-networks-deep-learning scaling-laws core-concept ✅ approved 0.83 — 2 ✓
05-statistical-probabilistic-ml bayesian-inference core-concept ❌ error 0.81 — 2 ✓
05-statistical-probabilistic-ml bayesian-neural-networks core-concept ❌ error 0.71 — 2 ✓
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 core-concept ✅ approved 0.83 — 2 ✓
05-statistical-probabilistic-ml mcmc core-concept ✅ approved 0.77 — 0 ✓
05-statistical-probabilistic-ml uncertainty-quantification core-concept ✅ approved 0.79 — 0 ✓
05-statistical-probabilistic-ml variational-inference core-concept ⚠️ flagged 0.66 — 2 —
06-reinforcement-learning actor-critic core-concept ✅ approved 0.79 — 0 ✓
06-reinforcement-learning mdp core-concept ✅ approved 0.69 — 0 —
06-reinforcement-learning model-based-reinforcement-learning core-concept ✅ approved 0.81 — 0 ✓
06-reinforcement-learning policy-gradient core-concept ✅ approved 0.81 — 0 ✓
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 core-concept ✅ approved 0.74 — 0 ✓
06-reinforcement-learning world-models core-concept ✅ approved 0.74 — 0 ✓
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-discovery core-concept ✅ approved 0.74 — 0 ✓
08-causal-statistical-inference causal-representation-learning core-concept ✅ approved 0.79 — 0 ✓
08-causal-statistical-inference counterfactuals core-concept ✅ approved 0.77 — 0 ✓
08-causal-statistical-inference do-calculus core-concept ⚠️ flagged 0.63 — 2 —
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 ⚠️ flagged 0.60 — 2 —
08-causal-statistical-inference structural-causal-models core-concept ✅ approved 0.71 — 2 ✓
09-algorithms-systems-for-ai data-parallelism core-concept ⚠️ flagged 0.61 — 2 —
09-algorithms-systems-for-ai distributed-training core-concept ✅ approved 0.68 — 1 —
09-algorithms-systems-for-ai flash-attention core-concept ✅ approved 0.70 — 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 model-parallelism core-concept ✅ approved 0.67 — 0 —
09-algorithms-systems-for-ai pipeline-parallelism core-concept ❌ error 0.81 — 2 ✓
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 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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