Pith Number
pith:5MARD7ZW
pith:2019:5MARD7ZWG2R2XH3QIXS2FS2RLA
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Additive Noise Annealing and Approximation Properties of Quantized Neural Networks
arxiv:1905.10452 v1 · 2019-05-24 · cs.LG · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5MARD7ZWG2R2XH3QIXS2FS2RLA}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-05-17T23:44:53.600723Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eb0111ff3636a3ab9f7045e5a2cb51580f7c03166b02f78076db5dc72cde4a55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5MARD7ZWG2R2XH3QIXS2FS2RLA \
| 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: eb0111ff3636a3ab9f7045e5a2cb51580f7c03166b02f78076db5dc72cde4a55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6574953e69e6e9d101b349923af5d3203ccba978c6f04f5bd31b50fd95167e13",
"cross_cats_sorted": [
"cs.CV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-24T21:30:54Z",
"title_canon_sha256": "44d7a052c062c9146384720865f20193ea0b678f6d3a3668fd62a5b4e9a8de97"
},
"schema_version": "1.0",
"source": {
"id": "1905.10452",
"kind": "arxiv",
"version": 1
}
}