Pith Number
pith:ACZS52FD
pith:2018:ACZS52FDDCMBGSZS7PSJFF4UUP
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Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation
arxiv:1810.01018 v1 · 2018-10-02 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ACZS52FDDCMBGSZS7PSJFF4UUP}
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Record completeness
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Bitcoin timestamp
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Citations
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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.
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Receipt and verification
| First computed | 2026-05-18T00:04:19.182807Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
00b32ee8a31898134b32fbe4929794a3c5966d1471564bd49b5aa22640339d73
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ACZS52FDDCMBGSZS7PSJFF4UUP \
| 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: 00b32ee8a31898134b32fbe4929794a3c5966d1471564bd49b5aa22640339d73
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aaf87f67a651689630510f4839ffa790fb43c5e43d6f92460c05c963e55746c2",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-10-02T00:04:20Z",
"title_canon_sha256": "75f58ea48a904424d7ecfcb82373a40f4ace935bcd4f063e25c8fe7802aaefbb"
},
"schema_version": "1.0",
"source": {
"id": "1810.01018",
"kind": "arxiv",
"version": 1
}
}