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Pith Number

pith:P5YMSVDT

pith:2025:P5YMSVDT2S6KF7YULSPD6EIC45
not attested not anchored not stored refs pending

Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?

Burak Can Kaplan, Hugo Cesar De Castro Carneiro, Stefan Wermter

arxiv:2508.05474 v1 · 2025-08-07 · cs.AI · cs.CL

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P5YMSVDT2S6KF7YULSPD6EIC45}

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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.
Receipt and verification
First computed 2026-07-05T11:50:13.862870Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7f70c95473d4bca2ff145c9e3f1102e7707933d2deac085dcdf3b6692fa36b08

Aliases

arxiv: 2508.05474 · arxiv_version: 2508.05474v1 · doi: 10.48550/arxiv.2508.05474 · pith_short_12: P5YMSVDT2S6K · pith_short_16: P5YMSVDT2S6KF7YU · pith_short_8: P5YMSVDT
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P5YMSVDT2S6KF7YULSPD6EIC45 \
  | 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: 7f70c95473d4bca2ff145c9e3f1102e7707933d2deac085dcdf3b6692fa36b08
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f2ebf039b0526b253825ea2ea082c590c124d058733eee6a3ec42a13a7e856a9",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-08-07T15:13:55Z",
    "title_canon_sha256": "f8f77d40bf35ea3ecd1f4a5a5e4abcdab39d7466d5b8ba38efec66de385ffd7d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2508.05474",
    "kind": "arxiv",
    "version": 1
  }
}