Encoder heads v1 (salience_v2 + supersession_xenc)

Trained ONNX encoder artifacts consumed by memlora install-heads:

• salience_v2-body.onnx / salience_v2-tokenizer.json — the fine-tuned SetFit encoder body for v2 salience extraction (the small classification head ships in-repo as src/memlora/extraction/heads/salience_v2.npz).
• supersession_xenc-body.onnx / supersession_xenc-tokenizer.json / supersession_xenc-threshold.json — the supersession cross-encoder and its precision-calibrated decision threshold.

SHA-256:

551dff21e4bef79a7cc6f7f196d6f8a836a9752cce49617e20cdced93907f7a8  salience_v2-body.onnx
de2a1b8d1aee816739bc3ca0125a473a080bf05311c640f63bc22099527b1c6b  salience_v2-tokenizer.json
0eed82dbda0c3da3fcb64e1c6175602df106a92479ec0e06aef8f79553378ef6  supersession_xenc-body.onnx
851ca67100d372ca3ae031a6abd168f53489eebfd7d89523f35c5c9b4d372c3c  supersession_xenc-tokenizer.json
cc6087b344be54772989e8b6264800f7d2dc09d944080ee74fd5c58f0911dc9d  supersession_xenc-threshold.json

Both heads are optional: without them the system fails open to legacy salience / lexical supersession. Regenerable from scripts/train_salience_setfit.py, scripts/train_supersession_xenc.py and the export scripts.