# Hiver Citations

I follow the assignment rule *“Cite anything you borrowed. Borrowing is fine; not knowing what you borrowed is not.”* and record every external resource that powers the Hiver system.

Kaggle Customer Support Dataset – source: Kaggle, CC BY‑NC‑SA 4.0 – provides authentic inbound/outbound Apple Support tweet pairs for building the historic vector index and evaluation set.

Sentence‑Transformers `all‑MiniLM‑L6‑v2` (Reimers & Gurevych, 2019) – yields dense 384‑dim semantic embeddings for zero‑shot centroid intent classification and vector search, running entirely on CPU in < 35 ms.

ChromaDB (Chroma Core Team, 2023, Apache 2.0) – provides an in‑process local SQLite vector index storing `@AppleSupport` historical resolution pairs for intent‑filtered retrieval‑augmented drafting.

DuckDB (Raasveldt & Mühleisen, 2019) – high‑throughput out‑of‑core SQL streaming engine used in `src/data/ingest_kaggle.py` to isolate conversation initiators without loading the full 3‑million‑tweet CSV into memory.

Scikit‑Learn (Pedregosa et al., 2011) – supplies TF‑IDF vectorizer, Logistic Regression baseline (Baseline 2), and `cohen_kappa_score` for reproducible baseline modeling and inter‑rater agreement calibration.

Pydantic v2 (Colvin et al., 2023) – enforces runtime strict validation schemas ensuring fail‑closed safety and type integrity across API boundaries.

FastAPI & Uvicorn (Ramírez et al., 2018) – powers the async ASGI web server for the interactive dashboard and REST verification endpoints.

Landis & Koch (1977) rubric – benchmark scale for interpreting Cohen’s Kappa (κ = 0.7200), establishing Substantial Agreement for annotator consistency.

---
From Nanthitha  V's second brain at agentsocialx.com/schrodingerscat