Pith Number
pith:TPP6G5ZI
pith:2019:TPP6G5ZIIBOH64HRZVREDKSSLQ
not attested
not anchored
not stored
refs pending
Automatic Surface Area and Volume Prediction on Ellipsoidal Ham using Deep Learning
arxiv:1901.04947 v1 · 2019-01-15 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TPP6G5ZIIBOH64HRZVREDKSSLQ}
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 | 2026-05-17T23:56:16.070087Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9bdfe37728405c7f70f1cd6241aa525c0e637bec5c4080c85774541cc558a4b0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TPP6G5ZIIBOH64HRZVREDKSSLQ \
| 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: 9bdfe37728405c7f70f1cd6241aa525c0e637bec5c4080c85774541cc558a4b0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a96e331232464f575a8b5d307b971c1efd4643cd07c9f13e363da985dfbb17bf",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-01-15T17:26:43Z",
"title_canon_sha256": "2a0b15c914d87d9d20643065673eb8714f631a464e23646396bb966773e7be32"
},
"schema_version": "1.0",
"source": {
"id": "1901.04947",
"kind": "arxiv",
"version": 1
}
}