Pith Number
pith:XB5X5FNU
pith:2016:XB5X5FNU22HTK5G6ZE2ZBTT243
not attested
not anchored
not stored
refs pending
A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image
arxiv:1609.09058 v1 · 2016-09-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XB5X5FNU22HTK5G6ZE2ZBTT243}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-05-18T01:03:41.339597Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b87b7e95b4d68f3574dec93590ce7ae6e62f6fecc6c49606adc96edaee93405b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XB5X5FNU22HTK5G6ZE2ZBTT243 \
| 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: b87b7e95b4d68f3574dec93590ce7ae6e62f6fecc6c49606adc96edaee93405b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e8858dc3435281a47a1f3cbe7b6bb2930afa522bdefd04042a9e7c5bff1c50e6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-09-28T19:58:37Z",
"title_canon_sha256": "6b9cdf8d424dc580e14f89ce4cb3533ba0b43d1eb74668454c0ba2a3ec0e9e4e"
},
"schema_version": "1.0",
"source": {
"id": "1609.09058",
"kind": "arxiv",
"version": 1
}
}