Initial commit: ER-TP-DGP research prototype

Event-Reified Temporal Provenance Dual-Granularity Prompting for
LLM-based APT detection on DARPA provenance datasets.

Includes phase 0-14 method spec, IR/graph/metapath/trimming/prompt
modules, scripts for THEIA candidate universe, landmark CSG construction,
hybrid prompting, and LLM inference. Excludes data/, reports/, and
local LLM config from version control.

pyproject.toml

@@ -0,0 +1,35 @@
+[project]
+name = "er-tp-dgp"
+version = "0.1.0"
+description = "Event-Reified Temporal Provenance Dual-Granularity Prompting for LLM-based APT detection"
+requires-python = ">=3.10"
+readme = "README.md"
+license = { text = "Research prototype" }
+authors = [{ name = "ER-TP-DGP collaborators" }]
+dependencies = ["PyYAML>=6.0"]
+
+[project.optional-dependencies]
+dev = ["pytest>=7.0"]
+local = [
+    "torch>=2.3",
+    "transformers>=4.45",
+    "peft>=0.12",
+    "accelerate>=0.34",
+    "bitsandbytes>=0.43",
+    "datasets>=2.20",
+    "numpy>=1.26",
+]
+embed = [
+    "sentence-transformers>=3.0",
+    "numpy>=1.26",
+]
+eval = [
+    "scikit-learn>=1.4",
+]
+
+[tool.pytest.ini_options]
+pythonpath = [".", "src"]
+testpaths = ["tests"]
+
+[tool.ruff]
+line-length = 100