Pith Number
pith:VCGM7ZUD
pith:2018:VCGM7ZUDUTK3ZUAK4O5LF74AZJ
not attested
not anchored
not stored
refs pending
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
arxiv:1809.05825 v2 · 2018-09-16 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VCGM7ZUDUTK3ZUAK4O5LF74AZJ}
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 | 2026-05-17T23:52:15.591006Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a88ccfe683a4d5bcd00ae3bab2ff80ca7cf1652de190f27991ed3fb5f5b0995a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VCGM7ZUDUTK3ZUAK4O5LF74AZJ \
| 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: a88ccfe683a4d5bcd00ae3bab2ff80ca7cf1652de190f27991ed3fb5f5b0995a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8a222dcb0b4db7927e587ade857ea14f6d8a721d7762135d3d2d16a6527c6131",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-09-16T07:08:58Z",
"title_canon_sha256": "d53bc5a4cfff08822292519e4693e6c3f24f1b362dfa4503f1ce6a82ad62976f"
},
"schema_version": "1.0",
"source": {
"id": "1809.05825",
"kind": "arxiv",
"version": 2
}
}