Pith Number
pith:CMYZ7JVW
pith:2018:CMYZ7JVWFSIF3MKJHQQ4SXU24I
not attested
not anchored
not stored
refs pending
Learning from Pseudo-Randomness With an Artificial Neural Network - Does God Play Pseudo-Dice?
arxiv:1801.01117 v1 · 2018-01-05 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CMYZ7JVWFSIF3MKJHQQ4SXU24I}
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 | 2026-05-18T00:26:43.035082Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
13319fa6b62c905db1493c21c95e9ae206033f9f253661814d938ffe6a86867f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CMYZ7JVWFSIF3MKJHQQ4SXU24I \
| 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: 13319fa6b62c905db1493c21c95e9ae206033f9f253661814d938ffe6a86867f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b4efaf07044e0909df76646b261f78292fc39f72a1d21bea285cfe71d616b726",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-01-05T02:10:32Z",
"title_canon_sha256": "2887439b16873f006613327267481286243962941a13c46fcec0974fd8b4b630"
},
"schema_version": "1.0",
"source": {
"id": "1801.01117",
"kind": "arxiv",
"version": 1
}
}