Pith Number
pith:VF5G2YUF
pith:2016:VF5G2YUFE3JL5V4FIQSZKVJT32
not attested
not anchored
not stored
refs pending
Drawing and Recognizing Chinese Characters with Recurrent Neural Network
arxiv:1606.06539 v1 · 2016-06-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VF5G2YUFE3JL5V4FIQSZKVJT32}
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 | 2026-05-18T01:12:09.293155Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a97a6d628526d2bed7854425955533de9afa1f3e803d26d636a62003ac012bcd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VF5G2YUFE3JL5V4FIQSZKVJT32 \
| 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: a97a6d628526d2bed7854425955533de9afa1f3e803d26d636a62003ac012bcd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "537d7148642bd2073668762cd2deaef725bdaeaf455bc88ae5505f538ce4da76",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-06-21T12:35:31Z",
"title_canon_sha256": "c71d6a557f21bb8f4e8f1f870334994eb17f7c05765e0bb0872cbef6f19cd978"
},
"schema_version": "1.0",
"source": {
"id": "1606.06539",
"kind": "arxiv",
"version": 1
}
}