Vinci v1 Technical Report Draft
Summary
Vinci is a DB-native embedding model for Cilow's Lattice retrieval pipeline. The
v1 research target is public MTEB Retrieval quality with a BGE-M3 student,
Matryoshka dimensions 1024 and 256, and commercial-safe teachers and
training sources.
Model
- Canonical model id:
Cilow/Vinci - Student base:
BAAI/bge-m3 - Model family:
vinci - Pipeline:
Lattice - Similarity: cosine
- Public claim rule: 2x means error reduction, where
error = 1 - metric.
Training Objective
The planned objective combines Matryoshka contrastive retrieval and teacher margin distillation:
L = sum_m w_m * L_InfoNCE(m) + lambda_margin * L_teacher_margin + lambda_struct * L_structure
where m is one of 1024 or 256. Cilow truth labels override generic teacher
similarity for stale, superseded, contradicted, or numerically wrong facts.
MTEB Results
| Model | Track | Task | nDCG@10 | Recall@10 | MRR@10 |
|---|---|---|---|---|---|
| Cilow/Vinci | embedding | SciFact | 0.7100 | 0.7900 | 0.6100 |
| Cilow/Vinci | embedding | FiQA2018 | 0.7600 | 0.8400 | 0.6600 |
| Cilow/Vinci | embedding | NFCorpus | 0.6600 | 0.7400 | 0.5600 |
2x Scorecard
| Task | Metric | Baseline | Candidate | Error Reduction | 2x |
|---|---|---|---|---|---|
| FiQA2018 | ndcg_at_10 | 0.7700 | 0.7600 | 0.9583 | False |
| NFCorpus | ndcg_at_10 | 0.6700 | 0.6600 | 0.9706 | False |
| SciFact | ndcg_at_10 | 0.7200 | 0.7100 | 0.9655 | False |
Leakage Check
Passed: True. Train hashes: 5. Eval hashes: 2. Overlap: 0.
Publication Status
This report is a scaffold until full MTEB Retrieval runs, local SentenceTransformer eval, TEI eval, and Lattice+reranker eval are attached. Model-only and full-pipeline claims must remain separate.