Pith Number
pith:CROTOAYN
pith:2017:CROTOAYNOZE53EGKCFBAGDFG6O
not attested
not anchored
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refs pending
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project
arxiv:1703.04967 v1 · 2017-03-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CROTOAYNOZE53EGKCFBAGDFG6O}
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
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4
Citations
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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 | 2026-05-18T00:48:38.699361Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
145d37030d7649dd90ca1142030ca6f3ae192df4f4bfe8bb9e3e954340a254e9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CROTOAYNOZE53EGKCFBAGDFG6O \
| 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: 145d37030d7649dd90ca1142030ca6f3ae192df4f4bfe8bb9e3e954340a254e9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d9cc5ee6a9d9c92ef8a270add21177187663ddf070a4099496e1dd5994c57d3b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-03-15T06:49:01Z",
"title_canon_sha256": "04e564cf32fb6e841cfeaeca39ca5d477114c4ab661a7036d4f69cc5d48b2ba3"
},
"schema_version": "1.0",
"source": {
"id": "1703.04967",
"kind": "arxiv",
"version": 1
}
}