Pith Number
pith:JRE4SFQF
pith:2017:JRE4SFQFHQ4APYNU36BV4DXMPB
not attested
not anchored
not stored
refs pending
Learning neural trans-dimensional random field language models with noise-contrastive estimation
arxiv:1710.10739 v1 · 2017-10-30 · cs.CL · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JRE4SFQFHQ4APYNU36BV4DXMPB}
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 | 2026-05-18T00:31:46.625044Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4c49c916053c3807e1b4df835e0eec786a5bd1f17a39962acaa76221890d52e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JRE4SFQFHQ4APYNU36BV4DXMPB \
| 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: 4c49c916053c3807e1b4df835e0eec786a5bd1f17a39962acaa76221890d52e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9406e3725dd0290bafeb7d635cc66e2ad3dfa44852bb7ee16acb761da9826b31",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-10-30T01:55:10Z",
"title_canon_sha256": "803dfd3e670d53e076aecf18081e59847fb81a130df8c74cd32df3636f1be5b7"
},
"schema_version": "1.0",
"source": {
"id": "1710.10739",
"kind": "arxiv",
"version": 1
}
}