Pith Number
pith:FMNFFEYB
pith:2022:FMNFFEYB47SEI3RVSQRMDEI4CK
not attested
not anchored
not stored
refs pending
Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI
arxiv:2205.01675 v1 · 2022-05-02 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FMNFFEYB47SEI3RVSQRMDEI4CK}
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
✓
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 | 2026-07-05T04:20:21.123359Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b1a529301e7e4446e359422c1911c12b73f96cb63744a412e51b144de67a3ee
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FMNFFEYB47SEI3RVSQRMDEI4CK \
| 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: 2b1a529301e7e4446e359422c1911c12b73f96cb63744a412e51b144de67a3ee
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e94efeebace8d2b900f01030223254128f90a34576368398daa98fa54527c2a",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-05-02T20:43:14Z",
"title_canon_sha256": "dc5cbd32d287dadf57255c63ace5ad26637ac9131f2faea4c635f6bc3ba76cb1"
},
"schema_version": "1.0",
"source": {
"id": "2205.01675",
"kind": "arxiv",
"version": 1
}
}