pith:DUC3BMNI
AtomEval: Validity-Aware Atomic Evaluation of Adversarial Claim Rewriting in Fact Verification
AtomEval evaluates adversarial claims by decomposing them into atomic SROM components to better detect factual corruptions.
arxiv:2604.07967 v3 · 2026-04-09 · cs.CL · cs.AI
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\usepackage{pith}
\pithnumber{DUC3BMNIO3JOJA7QVCPOEKE4NM}
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Record completeness
Claims
Experiments on the FEVER dataset across representative attack strategies and LLM generators show that AtomEval provides more reliable evaluation signals in our experiments.
That decomposing claims into SROM atoms and applying Atomic Validity Scoring accurately captures truth-conditional consistency and detects factual corruption without introducing its own biases or missing key semantic nuances.
AtomEval introduces atomic claim decomposition and validity scoring to provide more reliable evaluation of adversarial rewrites than standard similarity metrics in fact verification.
Formal links
Receipt and verification
| First computed | 2026-06-02T01:03:46.834904Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d05b0b1a876d2e483f0a89ee2289c6b37a316b9c45d3268eae62b9215d8c08f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DUC3BMNIO3JOJA7QVCPOEKE4NM \
| 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: 1d05b0b1a876d2e483f0a89ee2289c6b37a316b9c45d3268eae62b9215d8c08f
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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