Pith Number
pith:G3N2LJPC
pith:2018:G3N2LJPC2H3D3R24GWBMLUWTD5
not attested
not anchored
not stored
refs pending
Neural Abstract Style Transfer for Chinese Traditional Painting
arxiv:1812.03264 v2 · 2018-12-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G3N2LJPC2H3D3R24GWBMLUWTD5}
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 | 2026-05-17T23:58:24.592489Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
36dba5a5e2d1f63dc75c3582c5d2d31f48e0f73b63e937bfd4c17b44b5b48353
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G3N2LJPC2H3D3R24GWBMLUWTD5 \
| 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: 36dba5a5e2d1f63dc75c3582c5d2d31f48e0f73b63e937bfd4c17b44b5b48353
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a40d48cee36a411055466c26b99a45d1f676bab3ebad7449c7b8905c7928d068",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-12-08T04:18:49Z",
"title_canon_sha256": "66f10a4013b714fac2681ce234d2d3359b2be1361ec025604b43370e2441d9a3"
},
"schema_version": "1.0",
"source": {
"id": "1812.03264",
"kind": "arxiv",
"version": 2
}
}