Pith Number
pith:SXMJKKYO
pith:2019:SXMJKKYOAM5ZO2ZLCAGWWAZQWU
not attested
not anchored
not stored
refs pending
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
arxiv:1908.04680 v3 · 2019-08-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SXMJKKYOAM5ZO2ZLCAGWWAZQWU}
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
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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.
Receipt and verification
| First computed | 2026-07-05T02:46:07.660950Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
95d8952b0e033b976b2b100d6b0330b50ae14c43067ac47a87c9c0ce10046d2d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SXMJKKYOAM5ZO2ZLCAGWWAZQWU \
| 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: 95d8952b0e033b976b2b100d6b0330b50ae14c43067ac47a87c9c0ce10046d2d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cbfd25ceb5cbbc03e5ec446bcaef9bfe6955e9c9865728efbd8e6ee5e6046376",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-08-10T11:48:55Z",
"title_canon_sha256": "162d0a54505f4ff7f0f347159c6b135a36647e40fbb1d0356b303052da307645"
},
"schema_version": "1.0",
"source": {
"id": "1908.04680",
"kind": "arxiv",
"version": 3
}
}