Pith Number
pith:CXRMH4KG
pith:2021:CXRMH4KG3TUYKMEAWPDDJJ3LVI
not attested
not anchored
not stored
refs pending
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
arxiv:2102.10462 v1 · 2021-02-20 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CXRMH4KG3TUYKMEAWPDDJJ3LVI}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:16:58.187207Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
15e2c3f146dce9853080b3c634a76baa125d44e2832327907edb2fe35b5a074a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CXRMH4KG3TUYKMEAWPDDJJ3LVI \
| 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: 15e2c3f146dce9853080b3c634a76baa125d44e2832327907edb2fe35b5a074a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bc1b89a1b11e6783a7df3d2ffd1ded680ee3f8a5a2e6f1c82a89626e77abc9f6",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-02-20T22:37:41Z",
"title_canon_sha256": "a964434da5bceba70e6383b61630bf7dd159ddf50278e087cc051cff624796d7"
},
"schema_version": "1.0",
"source": {
"id": "2102.10462",
"kind": "arxiv",
"version": 1
}
}