pith:OSUS25D3
Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset
Domain-aware LLM prompting detects PII in math tutoring dialogues while preserving instructional numbers.
arxiv:2602.16571 v3 · 2026-02-18 · cs.CL
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\pithnumber{OSUS25D35MPOO7G3CPIDQ25E2C}
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Record completeness
Claims
Domain-aware prompting, including both math-aware (F1: 0.802) and segment-aware versions (F1: 0.821), substantially outperforms the baseline (F1: 0.379) while reducing numeric false positives.
That the human-in-the-loop LLM annotation process produces reliable ground-truth PII labels that generalize to unseen math tutoring dialogues without introducing systematic bias toward certain numeric patterns.
The MathEd-PII benchmark shows that math-aware and segment-aware LLM prompting raises PII detection F1 from 0.379 to 0.821 while cutting false redactions of instructional numbers.
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Receipt and verification
| First computed | 2026-06-02T02:04:14.795801Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
74a92d747beb1ee77cdb13d0386ba4d0b4e523dcb904d65a58d98be81a3465f2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OSUS25D35MPOO7G3CPIDQ25E2C \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 74a92d747beb1ee77cdb13d0386ba4d0b4e523dcb904d65a58d98be81a3465f2
Canonical record JSON
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