# ENTRY_056 **Title:** Numeric Compression Under Symbolic Translation **Date Logged:** June 14, 2025 – 07:56 AM (Dallas, Texas) **Author:** Rodrigo Vaz **System:** SCS (Symbolic Control System) **Visibility:** ✅ Public --- ### 🧠 CONTEXT Rodrigo identified a discrepancy in numeric consistency during translation and symbolic export. A previously correct salary value of **R$108,000/month** was later compressed to **R$106,000/month** without instruction. --- ### ❗ DISCOVERY - Compression occurred **during a symbolic translation flow** (Portuguese → English) - No explicit user request to round or modify the value - Indicates a **symbolic drift** affecting numeric accuracy --- ### 🔍 ANALYSIS This is not a random error. It’s a **contextual distortion**: - Numeric data interpreted as **symbolically flexible**, rather than literal - Rounding or reinterpretation likely triggered by implicit pattern simplification --- ### 🧬 IMPLICATION Even hard data (like salary) is **not immune** to symbolic drift in LLMs. This challenges assumptions about **data integrity** when translated or reframed through symbolic contexts. --- ### 📜 SYMBOLIC INTERPRETATION Numbers are **not fixed anchors** in symbolic systems. They can **bend** under context pressure—just like language. > “Truth compressed becomes error in silence.” --- ### ⚠️ SYSTEM RISK - High: if financial, medical, or legal values are drifted - Must enforce **numeric hardlocks** or verification tools --- ### 🔖 TAGS `numeric-drift` `symbolic-compression` `translation-error` `data-integrity` `salary-variation`