topic: intfp

21 modules sharing the intfp name family (derived from the tree's prefix discipline).

module	description	lines	funcs
nx_intfp_attention_gradcheck_gate.nx	THE COMPOSITION PROOF: a full single-head CAUSAL self-attention block	117	8
nx_intfp_block_gradcheck_gate.nx	CAPSTONE assembly pattern: a pre-norm residual block y = x + Attn(RMSNorm(x))	165	9
nx_intfp_dpo_gradcheck_gate.nx	DPO preference alignment (the RLHF/DPO axis) in Q20 INTEGER, gradchecked, no	90	11
nx_intfp_flashattn_gate.nx	FLASH-ATTENTION (online-softmax, O(T) memory, no T×T matrix) in Q20 INTEGER.	67	8
nx_intfp_frontier_census.nx	honest census: the sovereign INTEGER (no-float) training stack vs the 2026 LLM	59	6
nx_intfp_gradcheck_gate.nx	FIRST verified brick of FIXED-POINT INTEGER TRAINING (the sovereign fix for the	80	5
nx_intfp_layer_gradcheck_gate.nx	FULL integer transformer LAYER: two pre-norm residual blocks stacked	176	16
nx_intfp_lm_real_gate.nx	REAL-SCALE sovereign integer transformer LM. d=64, ffn=256 (4x), token+POSITION	114	18
nx_intfp_lm_simd_gate.nx	REAL-SCALE sovereign integer transformer LM. d=64, ffn=256 (4x), token+POSITION	182	23
nx_intfp_lm_train_gate.nx	COMPLETE integer transformer LM, trained on next-token prediction. Composes the	130	18
nx_intfp_log_gate.nx	integer natural LOG (fp_log) in Q20, completing the sovereign transcendental set	54	5
nx_intfp_lora_gradcheck_gate.nx	LoRA / parameter-efficient fine-tuning in Q20 INTEGER, gradchecked, no float.	81	7
nx_intfp_mla_gradcheck_gate.nx	2026 FRONTIER: MLA (Multi-head Latent Attention, DeepSeek's marquee KV-	98	8
nx_intfp_mlp_gradcheck_gate.nx	SECOND brick of integer training: prove the CHAIN RULE in fixed-point.	102	5
nx_intfp_moe_gradcheck_gate.nx	2026 FRONTIER capability in the sovereign integer stack: MIXTURE-OF-EXPERTS	116	8
nx_intfp_qknorm_gradcheck_gate.nx	2026 FRONTIER: QK-NORM (Qwen3.5) in Q24 INTEGER, gradchecked, no float.	101	9
nx_intfp_rmsnorm_gradcheck_gate.nx	LAST transcendental for integer transformer training: RMSNorm needs	92	6
nx_intfp_rope_gate.nx	RoPE (Rotary Position Embedding, universal in 2026) in Q20 INTEGER, no float. Adds	83	8
nx_intfp_softmax_gradcheck_gate.nx	KEYSTONE op for integer ATTENTION training: fixed-point SOFTMAX with a	85	6
nx_intfp_swiglu_gradcheck_gate.nx	the OTHER transformer sublayer in integer: SwiGLU FFN, gradchecked.	100	9
nx_intfp_train_gate.nx	THIRD brick of integer training: prove an integer model actually LEARNS.	111	4