Pith Number
pith:BXGTN2NK
pith:2022:BXGTN2NKRFQF4QUPFR7EXWXH3O
not attested
not anchored
not stored
refs pending
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
arxiv:2207.14067 v1 · 2022-07-28 · cs.CV · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BXGTN2NKRFQF4QUPFR7EXWXH3O}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:44:32.511596Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0dcd36e9aa89605e428f2c7e4bdae7db9213c11049307b323ec72d326c3b8423
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BXGTN2NKRFQF4QUPFR7EXWXH3O \
| 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: 0dcd36e9aa89605e428f2c7e4bdae7db9213c11049307b323ec72d326c3b8423
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aa7dac8fae0d18c3d8fbbfe8b6241f1dabf8650be410095b7fa98ce6d52235ca",
"cross_cats_sorted": [
"cs.GR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-07-28T13:08:46Z",
"title_canon_sha256": "079cdea83c440b06262a65e6cc303baa4164ce148159d05f83dacae03d61bd2c"
},
"schema_version": "1.0",
"source": {
"id": "2207.14067",
"kind": "arxiv",
"version": 1
}
}