ollama-0001: kvcache/causal.go buildMask() Except []int linear scan O(B*E).
For Gemma3 multi-image prompts, slices.Contains(opts.Except, i) is called
per batch token. With N images x 256 tokens/image, B and |except| both scale
as N*256 giving quadratic prefill cost. Fix: convert Except to map[int]struct{}
before the outer loop. 3.4x speedup at N=10 images. Unit test PASS.
dosbox-staging scanned for all 5 MOADs; all CLEAN. Linear scans operate on
fixed small palettes (16 CGA colors), hardcoded 3-item lists, or single-call
config paths. Mixer mutex consistent. No credential logging.
Updated defects/ollama/CLEAN.md to note the missed defect from prior scan.
vllm-0001: punica_wrapper/utils.py convert_mapping() calls
lora_index_to_id.index(x) per token in batch — O(B*L) where
B=batch_size, L=loaded_loras. Code has "TODO index can be slow"
comment. Fix: pre-build dict for O(1) lookup. 7x at B=2000/L=64.
Ollama: all slices.Contains on bounded slices (1-8 items).
LangChain: orchestration code, all membership bounded by k param.
