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Pith Number

pith:KDVOYBBO

pith:2018:KDVOYBBO4FRMAFWINFVLQAFCGE
not attested not anchored not stored refs pending

Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training

Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, Pascale Fung, Peng Xu

arxiv:1809.04505 v1 · 2018-09-12 · cs.CL

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\usepackage{pith}
\pithnumber{KDVOYBBO4FRMAFWINFVLQAFCGE}

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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.

Cited by

3 papers in Pith

Receipt and verification
First computed 2026-05-18T00:05:52.102684Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

50eaec042ee162c016c8696ab800a2310c942dd9b81a89a4a930487b9a9ef86d

Aliases

arxiv: 1809.04505 · arxiv_version: 1809.04505v1 · doi: 10.48550/arxiv.1809.04505 · pith_short_12: KDVOYBBO4FRM · pith_short_16: KDVOYBBO4FRMAFWI · pith_short_8: KDVOYBBO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KDVOYBBO4FRMAFWINFVLQAFCGE \
  | 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: 50eaec042ee162c016c8696ab800a2310c942dd9b81a89a4a930487b9a9ef86d
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "8a127a0045883d0b4ab70970c613e76a1e160c41dbceeebf186a85335a9d79f3",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2018-09-12T15:08:00Z",
    "title_canon_sha256": "c8c31896be9b3324af0b4ead0dd40224a1f75ce006334cb5fd223d5ef54dc1dd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1809.04505",
    "kind": "arxiv",
    "version": 1
  }
}