Pith Number
pith:433T5HBU
pith:2019:433T5HBUWVHSTLVBZKVTJHKXUP
not attested
not anchored
not stored
refs pending
Multi-feature Distance Metric Learning for Non-rigid 3D Shape Retrieval
arxiv:1901.03031 v1 · 2019-01-10 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{433T5HBUWVHSTLVBZKVTJHKXUP}
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 | 2026-05-17T23:56:35.766282Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e6f73e9c34b54f29aea1caab349d57a3d6e43feae9e1c7ff91e5ba708291f06a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/433T5HBUWVHSTLVBZKVTJHKXUP \
| 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: e6f73e9c34b54f29aea1caab349d57a3d6e43feae9e1c7ff91e5ba708291f06a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dca7abb5756a21a4eeb58ebd487254feb2eb9d7ca544dc57e6944e1b2aa1c67e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-01-10T06:28:16Z",
"title_canon_sha256": "ac8278d25f1a73435dd4ebb59ef225d4e51a72e40a4a376ad3ba1993905b0325"
},
"schema_version": "1.0",
"source": {
"id": "1901.03031",
"kind": "arxiv",
"version": 1
}
}