Pith Number
pith:PLNQBVNI
pith:2019:PLNQBVNIKOTNSUOSH5OV7SZ2IS
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Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
arxiv:1905.05526 v2 · 2019-05-14 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PLNQBVNIKOTNSUOSH5OV7SZ2IS}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T00:10:01.397393Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7adb00d5a853a6d951d23f5d5fcb3a44b61d5f0949edf05a65fe77c57d73493f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PLNQBVNIKOTNSUOSH5OV7SZ2IS \
| 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: 7adb00d5a853a6d951d23f5d5fcb3a44b61d5f0949edf05a65fe77c57d73493f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a85f0a638f070de107380fcbbaabeb43efd8bb8bd48e8455f2bfab1ba85c63ff",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-05-14T11:39:43Z",
"title_canon_sha256": "2e0669b8ff835d6c5b7fb4842b53b87595b34d321f6c1aa930367a6f329c3e32"
},
"schema_version": "1.0",
"source": {
"id": "1905.05526",
"kind": "arxiv",
"version": 2
}
}