Pith Number
pith:W4QROHB5
pith:2016:W4QROHB56IT74YBB4D3ZIIJWGF
not attested
not anchored
not stored
refs pending
Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment
arxiv:1605.05433 v2 · 2016-05-18 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W4QROHB56IT74YBB4D3ZIIJWGF}
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
Author claim
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claim
4
Citations
5
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 | 2026-05-18T01:03:59.001207Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b721171c3df227fe6021e0f7942136317c8e2f6d3d905133f2dcfbf6c196c9ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W4QROHB56IT74YBB4D3ZIIJWGF \
| 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: b721171c3df227fe6021e0f7942136317c8e2f6d3d905133f2dcfbf6c196c9ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "38a26fcb7242862522cd18b6ecd2af1a831760b00d7337e26891dd288d156a74",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2016-05-18T04:10:41Z",
"title_canon_sha256": "081af1e653aacf248d75fbb447610b26d7bc7c35ce4a1413644bf1cc1ebd3a63"
},
"schema_version": "1.0",
"source": {
"id": "1605.05433",
"kind": "arxiv",
"version": 2
}
}