Pith Number
pith:FZGEW76Z
pith:2019:FZGEW76ZAV6VAO6FTR2OJRX5AE
not attested
not anchored
not stored
refs pending
Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography
arxiv:1907.05089 v1 · 2019-07-11 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FZGEW76ZAV6VAO6FTR2OJRX5AE}
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 | 2026-05-17T23:40:53.993084Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e4c4b7fd9057d503bc59c74e4c6fd012e1e93d48e8b34799ace7c05ea2a7b1e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FZGEW76ZAV6VAO6FTR2OJRX5AE \
| 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: 2e4c4b7fd9057d503bc59c74e4c6fd012e1e93d48e8b34799ace7c05ea2a7b1e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8e11080af485a176dc3da516f4f8265a2cf533e330e7fa41fe83c655796c7eb9",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-07-11T10:20:50Z",
"title_canon_sha256": "0836f428f40a6ac05c0545873e66b1bb5652dbc261883308dd12858a557a07da"
},
"schema_version": "1.0",
"source": {
"id": "1907.05089",
"kind": "arxiv",
"version": 1
}
}