Pith Number
pith:FDLZTBC5
pith:2018:FDLZTBC52UHZZIJQ75ZDFTUOFI
not attested
not anchored
not stored
refs pending
Low-Precision Floating-Point Schemes for Neural Network Training
arxiv:1804.05267 v1 · 2018-04-14 · cs.LG · cs.NE · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FDLZTBC52UHZZIJQ75ZDFTUOFI}
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 | 2026-05-18T00:18:28.457428Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28d799845dd50f9ca130ff7232ce8e2a311ab65c318e0ffe26bab0b4ba8f5633
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FDLZTBC52UHZZIJQ75ZDFTUOFI \
| 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: 28d799845dd50f9ca130ff7232ce8e2a311ab65c318e0ffe26bab0b4ba8f5633
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3266e66765f64355f5b615b4035bee8d9be4dffda10b2cd14bceb091b7cb9216",
"cross_cats_sorted": [
"cs.NE",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-04-14T19:10:07Z",
"title_canon_sha256": "525d968fef67999df3449bf5a79f800199324a1d56a54b4711cd3af87ffb4bfc"
},
"schema_version": "1.0",
"source": {
"id": "1804.05267",
"kind": "arxiv",
"version": 1
}
}