Pith Number
pith:VHLHKK4D
pith:2022:VHLHKK4D3TAECC7LAISTB7RS7Y
not attested
not anchored
not stored
refs pending
Is Integer Arithmetic Enough for Deep Learning Training?
arxiv:2207.08822 v3 · 2022-07-18 · cs.LG · cs.CC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VHLHKK4D3TAECC7LAISTB7RS7Y}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:30:31.059327Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9d6752b83dcc0410beb022530fe32fe05761b9375a276a2c6d954c41c8ce2a2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VHLHKK4D3TAECC7LAISTB7RS7Y \
| 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: a9d6752b83dcc0410beb022530fe32fe05761b9375a276a2c6d954c41c8ce2a2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9058504f301d85625b5131d9c3fd3e70aa50f0ac8160959905faa98b69fa8893",
"cross_cats_sorted": [
"cs.CC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-07-18T22:36:57Z",
"title_canon_sha256": "fcbc7d7e8c09fa5f3f88978c20a38a934aa501ac8a719da0e2d2804e1d9fc894"
},
"schema_version": "1.0",
"source": {
"id": "2207.08822",
"kind": "arxiv",
"version": 3
}
}