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Summary
detection/shap_explainer.py computes SHAP values for each risk score but currently does not export human-readable
visualisations. The LedgerLens dashboard and API consumers need per-score SHAP ...
Summary
The graph indexes function calls that occur inside statically-unreachable code as ordinary live CALLS edges. Because the
parse is structural (Tree-sitter, no reachability analysis and no C preprocessor ...
Summary
detection/model_training.py and detection/dataset.py currently use random train/test splits
(sklearn.model_selection.train_test_split), which is inappropriate for time-series financial data. Random ...
Upstream Status — 2026-06-24
| | |
| --- | --- |
| Latest upstream commit | 4795784 — Merge pull request #30 from tradesdontlie/fix/cdp-injection-sanitization |
| Commit date | 2026-04-04T00:27:03Z ...
upstream-tracker
Summary
detection/model_training.py currently trains the Random Forest, XGBoost, and LightGBM classifiers with manually tuned
default hyperparameters. Manual tuning is suboptimal and brittle: the best ...
Problem
Resources. targetNodeId is a generated column typed TEXT:
ALTER TABLE Resources
ADD COLUMN targetNodeId TEXT
GENERATED ALWAYS AS (( extendedAttributes - targetNodeId )) STORED;
...
Problem
The Create Knowledge wizard (frontend/svelte-app/src/lib/components/knowledge/) was previously a much longer multi-step
flow and is now a 5-step (3–5 visible) state machine. Several artifacts ...
enhancement
good first issue
technical-debt
Summary
detection/model_training.py currently uses standard SMOTE (Synthetic Minority Oversampling Technique) to address the
severe class imbalance between wash-trading (minority) and clean (majority) ...
Summary
The current detection/feature_engineering.py recomputes all 35+ features from scratch for every pipeline run, requiring
a full scan of historical trades per wallet per window. This batch-mode ...

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