Pith Number
pith:O3JCPTD2
pith:2018:O3JCPTD2EP66ESGZLPLVLMHCIJ
not attested
not anchored
not stored
refs pending
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers using Piecewise Convolutional Neural Networks
arxiv:1802.08949 v2 · 2018-02-25 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O3JCPTD2EP66ESGZLPLVLMHCIJ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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Replications
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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 | 2026-05-18T00:17:10.892567Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
76d227cc7a23fde248d95bd755b0e24240f55295ab4e5f3c0587d1e67cdd1ac3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O3JCPTD2EP66ESGZLPLVLMHCIJ \
| 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: 76d227cc7a23fde248d95bd755b0e24240f55295ab4e5f3c0587d1e67cdd1ac3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a659a45e39c89b4da44f777b71ca9e16ef40c228491befa7909104144c095041",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-02-25T03:49:21Z",
"title_canon_sha256": "f300f49aecbebcc1e7feaee1162ea6dc2053e1dd57cef2d00a98b2067dcfb9f0"
},
"schema_version": "1.0",
"source": {
"id": "1802.08949",
"kind": "arxiv",
"version": 2
}
}