Pith Number
pith:HSQODXZD
pith:2018:HSQODXZDV424KTB2ORLD2BLEHY
not attested
not anchored
not stored
refs pending
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image
arxiv:1807.07796 v2 · 2018-07-20 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HSQODXZDV424KTB2ORLD2BLEHY}
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 | 2026-05-17T23:50:27.529143Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3ca0e1df23af35c54c3a74563d05643e1f13cc350a6de09bbd8042bf84359e62
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HSQODXZDV424KTB2ORLD2BLEHY \
| 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: 3ca0e1df23af35c54c3a74563d05643e1f13cc350a6de09bbd8042bf84359e62
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "97d38963fab7474fdc5daf40c1e64024b8384c9bef70bfaec20fbe47081121ac",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-20T11:32:02Z",
"title_canon_sha256": "52591147c403698d43973096dde0eeb5fc3cb92fb1de5e31bef1b3bc64afbd78"
},
"schema_version": "1.0",
"source": {
"id": "1807.07796",
"kind": "arxiv",
"version": 2
}
}