Pith Number
pith:RUZ5Q7N3
pith:2017:RUZ5Q7N3PF2TDJE34DX7OCF2Z5
not attested
not anchored
not stored
refs pending
Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition
arxiv:1702.07975 v1 · 2017-02-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RUZ5Q7N3PF2TDJE34DX7OCF2Z5}
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.
Receipt and verification
| First computed | 2026-05-18T00:49:56.505420Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8d33d87dbb797531a49be0eff708bacf445dca1e100d423882ff534154c1fd0a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RUZ5Q7N3PF2TDJE34DX7OCF2Z5 \
| 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: 8d33d87dbb797531a49be0eff708bacf445dca1e100d423882ff534154c1fd0a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "591dd12e8465dac33e932c132413091df152c55d68a87f46a576e4022c454ea7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-02-26T02:13:20Z",
"title_canon_sha256": "f49570dac12d7b37cc0245b43e214f0f325cd577ff0b5d56bf33d34f74d2e2a6"
},
"schema_version": "1.0",
"source": {
"id": "1702.07975",
"kind": "arxiv",
"version": 1
}
}