Pith Number
pith:N3ZFAXQP
pith:2022:N3ZFAXQPFI3QW73DLWJOX3B6XD
not attested
not anchored
not stored
refs pending
Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)
arxiv:2201.08442 v1 · 2022-01-20 · cs.LG · cs.AI · cs.AR · cs.PF · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N3ZFAXQPFI3QW73DLWJOX3B6XD}
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
✓
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 | 2026-07-05T03:50:28.205228Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ef2505e0f2a370b7f635d92ebec3eb8f9db07f7867b9a898ab722e4590a81ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N3ZFAXQPFI3QW73DLWJOX3B6XD \
| 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: 6ef2505e0f2a370b7f635d92ebec3eb8f9db07f7867b9a898ab722e4590a81ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d02717c899606c9ad529042c8f48ffee609cf98e4392b3f9d4ca0ce91d9f250",
"cross_cats_sorted": [
"cs.AI",
"cs.AR",
"cs.PF",
"cs.SE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-20T20:35:37Z",
"title_canon_sha256": "af588e1f5f7a24a9fd5202b71f7d48bde347b91c5e2281288898de0c26bd0fa0"
},
"schema_version": "1.0",
"source": {
"id": "2201.08442",
"kind": "arxiv",
"version": 1
}
}