Pith Number

pith:XWO4ZVOJ

pith:2026:XWO4ZVOJFJDOXFC23ALQUM3EKG

not attested not anchored not stored refs pending

RoIt-XMASA: Multi-Domain Multilingual Sentiment Analysis Dataset for Romanian and Italian

Andrei-Marius Avram, Aureliu Valentin Antonie, Cosmin-Mircea Croitoru, Dumitru-Clementin Cercel, Vlad Andrei Muntean

RoIt-XMASA dataset with meta-learned adversarial training lets XLM-R reach 66.23% F1 in cross-lingual and cross-domain sentiment analysis for Italian and Romanian.

arxiv:2604.17134 v2 · 2026-04-18 · cs.CL

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\usepackage{pith}
\pithnumber{XWO4ZVOJFJDOXFC23ALQUM3EKG}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

XLM-R achieves an F1-score of 66.23% with our approach, outperforming the baseline by 4.64%.

C2weakest assumption

The meta-learned coefficients successfully balance sentiment discrimination against domain and language invariance without causing training instability or overfitting on the specific dataset splits.

C3one line summary

New dataset for Romanian and Italian multi-domain sentiment analysis combined with an adversarial framework that improves XLM-R F1 by 4.64% over baseline.

Receipt and verification

First computed	2026-05-25T02:02:15.408738Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bd9dccd5c92a46eb945ad8170a33645198cf87998de563e487f8ad023a4ffc3c

Aliases

arxiv: 2604.17134 · arxiv_version: 2604.17134v2 · doi: 10.48550/arxiv.2604.17134 · pith_short_12: XWO4ZVOJFJDO · pith_short_16: XWO4ZVOJFJDOXFC2 · pith_short_8: XWO4ZVOJ

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/XWO4ZVOJFJDOXFC23ALQUM3EKG \
  | 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: bd9dccd5c92a46eb945ad8170a33645198cf87998de563e487f8ad023a4ffc3c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "03721e9cb3f5d43b67f1ecc098f618eda6dd81d0059d59fe4cf26538b56d9400",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-04-18T20:21:40Z",
    "title_canon_sha256": "de8849f467388cc2efdbc3ed214273652d31abe765138d84ec7821532d6b5223"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.17134",
    "kind": "arxiv",
    "version": 2
  }
}