Pith Number
pith:LQGDJS6A
pith:2017:LQGDJS6A4IVSBSE6WORHA3PYD7
not attested
not anchored
not stored
refs pending
Statistical Mechanics of Node-perturbation Learning with Noisy Baseline
arxiv:1706.06953 v1 · 2017-06-20 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LQGDJS6A4IVSBSE6WORHA3PYD7}
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 | 2026-05-18T00:41:56.397025Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c0c34cbc0e22b20c89eb3a2706df81fca1948fd9805c53dce7fdf575cc4421d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LQGDJS6A4IVSBSE6WORHA3PYD7 \
| 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: 5c0c34cbc0e22b20c89eb3a2706df81fca1948fd9805c53dce7fdf575cc4421d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bde95f92b2064ee384cbb62d3ea961ba23b9e1bf2dd57cb504723542fc304720",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-06-20T04:46:56Z",
"title_canon_sha256": "9805e0a9dcb1b29cc830b50c903d6764e33848e4711bce76e288d3e6cd3eab8b"
},
"schema_version": "1.0",
"source": {
"id": "1706.06953",
"kind": "arxiv",
"version": 1
}
}