Pith Number
pith:RDBDALJ2
pith:2017:RDBDALJ2TYRCCHKLTUMW7MYJNC
not attested
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A Batch Noise Contrastive Estimation Approach for Training Large Vocabulary Language Models
arxiv:1708.05997 v2 · 2017-08-20 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RDBDALJ2TYRCCHKLTUMW7MYJNC}
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Record completeness
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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 | 2026-05-18T00:37:33.262525Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
88c2302d3a9e22211d4b9d196fb30968b4b1f61991a26432ed424249f5312b56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RDBDALJ2TYRCCHKLTUMW7MYJNC \
| 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: 88c2302d3a9e22211d4b9d196fb30968b4b1f61991a26432ed424249f5312b56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5020d26a2c5b3ca263a09c04a89926c39c5969a7609806fdd529c5effde97b09",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-08-20T17:48:35Z",
"title_canon_sha256": "e231338f87d7f51b8382085453b0ac425ab285ecd32439d6b2a17e79bb736d05"
},
"schema_version": "1.0",
"source": {
"id": "1708.05997",
"kind": "arxiv",
"version": 2
}
}