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Normalize extracted paper entities into canonical forms with lightweight audit logs.
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Based on SOC occupation classification
| name | paper-normalize |
| description | Normalize extracted paper entities into canonical forms with lightweight audit logs. |
| metadata | {"openclaw":{"emoji":"🧩","requires":{"bins":["python3"]}}} |
Use this skill after paper-reflect when the user wants canonical entities and alias cleanup.
Workflow
python3 /root/openclaw-dev/workspace/scripts/normalize_entities.py <reflection_json_path>/root/openclaw-dev/workspace/data/normalized/audit_log for alias mappings and dedupe actionsNotes
Build, query, and visualize literature relationship clusters using Kuzu and Cypher.
Fetch paper metadata from lightweight academic sources like arXiv and save normalized paper JSON records.
Write lightweight graph edges from normalized paper entities into a local graph store.
Build a lightweight local vector-style index record from normalized paper data.
Generate a lightweight structured reflection JSON for a single paper record.
Orchestrate the lightweight academic pipeline by chaining paper-fetch, paper-reflect, and paper-normalize.