pith:CZH234VY
Tuning for TraceTarnish: Techniques, Trends, and Testing Tangible Traits
TraceTarnish attack analysis identifies function-word frequencies, content-word distributions, and type-token ratio as reliable signals that text has been altered to mask its author.
arxiv:2512.03465 v5 · 2025-12-03 · cs.CR · cs.CL · cs.IR
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\usepackage{pith}
\pithnumber{CZH234VY5PYLEG4ALQIG5RAUGC}
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Claims
The identified stylometric cues — function-word frequencies, content-word distributions, and the Type-Token Ratio — serve as reliable indicators of compromise (IoCs), revealing when a text has been deliberately altered to mask its true author.
That the Information Gain-selected features remain useful for both attack enhancement and detection even when only the transformed text is available, and that the Reddit-derived dataset generalizes beyond the specific comments and transformations tested.
TraceTarnish attack identifies stylometric features like function-word frequencies and type-token ratio that both strengthen authorship anonymization and serve as indicators of compromise when pre- and post-transformation texts can be compared.
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| First computed | 2026-06-09T02:08:35.462334Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
164fadf2b8ebf0b21b805c106ec41430ab944d7fccb2f0aa4d385f5284e42cf6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CZH234VY5PYLEG4ALQIG5RAUGC \
| 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: 164fadf2b8ebf0b21b805c106ec41430ab944d7fccb2f0aa4d385f5284e42cf6
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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"title_canon_sha256": "fd82ca9c529949b5709658e391062fdd9a195879a96d2b732b4c6bc7ebb47308"
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