Pith Number
pith:VGDZWYTB
pith:2023:VGDZWYTBD26UTNQIKZ64GVFHYO
not attested
not anchored
not stored
refs pending
On-Chip Hardware-Aware Quantization for Mixed Precision Neural Networks
arxiv:2309.01945 v5 · 2023-09-05 · cs.LG · cs.AI · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VGDZWYTBD26UTNQIKZ64GVFHYO}
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
· sign in to
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 | 2026-07-05T08:22:21.230376Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9879b62611ebd49b608567dc354a7c385853a0393c9592a6ddec5198ba95730
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VGDZWYTBD26UTNQIKZ64GVFHYO \
| 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: a9879b62611ebd49b608567dc354a7c385853a0393c9592a6ddec5198ba95730
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "217939334a11f78af3fb52809fd5a8e29538250d50da2aeaf5bbe7f4ae447f18",
"cross_cats_sorted": [
"cs.AI",
"cs.AR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-09-05T04:39:34Z",
"title_canon_sha256": "93f0f6bb85db2e82588ccf5d1b2cec1dfb17cc6a8af6e0fff49c8acafe7de920"
},
"schema_version": "1.0",
"source": {
"id": "2309.01945",
"kind": "arxiv",
"version": 5
}
}