Pith Number
pith:JM5PMEW4
pith:2017:JM5PMEW4IPTNNQG5YB5F562UJX
not attested
not anchored
not stored
refs pending
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks
arxiv:1705.11050 v2 · 2017-05-31 · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JM5PMEW4IPTNNQG5YB5F562UJX}
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 | 2026-05-18T00:24:04.420527Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b3af612dc43e6d6c0ddc07a5efb544df64e28ce738a33c5e128fbb9aa43b379
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JM5PMEW4IPTNNQG5YB5F562UJX \
| 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: 4b3af612dc43e6d6c0ddc07a5efb544df64e28ce738a33c5e128fbb9aa43b379
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f3cdce175b120751bbbfee4ed81c5eab3039c60921760fe48ec684ae02f3a520",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.GR",
"submitted_at": "2017-05-31T12:10:32Z",
"title_canon_sha256": "c533a0dde3b70b30993a51a18ca50386e6ee6513d4bf4ffd76607ab51a7954da"
},
"schema_version": "1.0",
"source": {
"id": "1705.11050",
"kind": "arxiv",
"version": 2
}
}