Pith Number
pith:IPRLJBOU
pith:2016:IPRLJBOUXF5HF4ECOK7KRHASWT
not attested
not anchored
not stored
refs pending
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
arxiv:1610.07584 v2 · 2016-10-24 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IPRLJBOUXF5HF4ECOK7KRHASWT}
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
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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 | 2026-05-18T00:53:24.138504Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43e2b485d4b97a72f08272bea89c12b4e6f51a7061d084356aeac413cf12d652
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IPRLJBOUXF5HF4ECOK7KRHASWT \
| 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: 43e2b485d4b97a72f08272bea89c12b4e6f51a7061d084356aeac413cf12d652
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "801c9942a431a561d1dab69feb4650ae6704f91deab5039e795b3271145d913c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-10-24T19:53:41Z",
"title_canon_sha256": "13378094190a0578680d8c5a2e3a4e79085ce5d73d6579fce65398b6a5240db4"
},
"schema_version": "1.0",
"source": {
"id": "1610.07584",
"kind": "arxiv",
"version": 2
}
}