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Pith Number

pith:QZ5WQ7YX

pith:2024:QZ5WQ7YXOLZA5X4BSFQORMNBZJ
not attested not anchored not stored refs pending

Large Language Models on Fine-grained Emotion Detection Dataset with Data Augmentation and Transfer Learning

Kaipeng Wang, Yikun Han, Yongye Su, Zhi Jing

arxiv:2403.06108 v2 · 2024-03-10 · cs.CL · cs.AI

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\usepackage{pith}
\pithnumber{QZ5WQ7YXOLZA5X4BSFQORMNBZJ}

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Record completeness

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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.

Cited by

2 papers in Pith

Receipt and verification
First computed 2026-07-05T08:05:56.932472Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

867b687f1772f20edf819160e8b1a1ca4a20f921aca4246e1a5c645cc27d8f39

Aliases

arxiv: 2403.06108 · arxiv_version: 2403.06108v2 · doi: 10.48550/arxiv.2403.06108 · pith_short_12: QZ5WQ7YXOLZA · pith_short_16: QZ5WQ7YXOLZA5X4B · pith_short_8: QZ5WQ7YX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QZ5WQ7YXOLZA5X4BSFQORMNBZJ \
  | 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: 867b687f1772f20edf819160e8b1a1ca4a20f921aca4246e1a5c645cc27d8f39
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "b983bb56146ab618a9c70f78d3c690a87d27ef2500d2bc912e3ed664d8dd379c",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2024-03-10T06:30:54Z",
    "title_canon_sha256": "7c666d6590e942a73af15490afe06ad1ea9eab3dd33ef62d17879a124bcfe470"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.06108",
    "kind": "arxiv",
    "version": 2
  }
}