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CORE-002

v040 B core memory

medium

Repetitions

Documents

Questions

Reasoning

DETERMINISTIC

v040 B2 core_memory token_cap

📖 In Plain English

No description available yet for category "v040_B_core_memory".

⚙️ How a single rep runs

① Generate

Model creates 0 synthetic documents and 0 questions with unique canary tokens

→ Fresh content per run prevents memorization and proves real retrieval

② Ingest (MCP)

Model calls brain_ingest to store the 0 documents

→ Tests the brain's storage and indexing pipeline

③ Query (MCP)

Model answers the question using brain retrieval tools (search, fetch, context_pack, etc.)

→ Core test — does the brain return correct evidence and let the model build a faithful answer?

④ Evaluate

Model judges the answer against ground truth (the document it generated in phase 1)

→ Produces a score 0–100 with detailed sub-scores (retrieval, fidelity, reasoning, etc.)

This rep is run 1 times per test run. A pass requires score ≥ 85 and no critical failures.

🔬 Technical Instructions (raw prompts sent to AI)

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📄 Raw YAML cases/v040_B_core_memory/CORE-002.yaml

schema_version: "1.0"
test_id: "CORE-002"
category: "v040_B_core_memory"
kind: "deterministic"
severity: "medium"
repetitions: 1
reasoning_type: "DETERMINISTIC"
num_documents: 0
num_questions: 0
tags: ["v040", "B2", "core_memory", "token_cap"]
assertion_module: "v040.B_core_memory.core_002"
description: |
  Ingest 30 claims at importance=0.95; verify context_pack.core_memory is bounded by the ~500-token cap (typically 20-25 claims).