pith:H3L7DXCA
Beyond the Final Actor: Modeling the Dual Roles of Creator and Editor for Fine-Grained LLM-Generated Text Detection
RACE separates creator intent from editor style to enable four-class detection of LLM-generated text.
arxiv:2604.04932 v3 · 2026-04-06 · cs.CL
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\pithnumber{H3L7DXCA2OIRIXVBE7I5HQJTOC}
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Record completeness
Claims
RACE outperforms 12 baselines in identifying fine-grained types with low false alarms, offering a policy-aligned solution for LLM regulation.
That Rhetorical Structure Theory graphs and Elementary Discourse Unit features reliably separate creator intent from editor style even when both roles are played by LLMs or when editing is subtle.
RACE uses Rhetorical Structure Theory for creator logic graphs and Elementary Discourse Unit features for editor style to outperform baselines on four-class LLM text detection.
Formal links
Receipt and verification
| First computed | 2026-05-20T00:04:30.830038Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3ed7f1dc40d391145ea127d1d3c13370a92bf1b476205ad75306d340a3251ec9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H3L7DXCA2OIRIXVBE7I5HQJTOC \
| 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: 3ed7f1dc40d391145ea127d1d3c13370a92bf1b476205ad75306d340a3251ec9
Canonical record JSON
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