Pith Number
pith:TUKCTYJF
pith:2021:TUKCTYJFMW7LLG4WKVJYM3J7TQ
not attested
not anchored
not stored
refs pending
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
arxiv:2111.04735 v1 · 2021-11-08 · eess.IV · cs.CV · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TUKCTYJFMW7LLG4WKVJYM3J7TQ}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T03:30:42.810633Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9d1429e12565beb59b965553866d3f9c15019117bf34cdf2cdf86ca8914e3158
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TUKCTYJFMW7LLG4WKVJYM3J7TQ \
| 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: 9d1429e12565beb59b965553866d3f9c15019117bf34cdf2cdf86ca8914e3158
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "abaf5660fc4ba636997ecc6b61a86867bbeca266de42337b9a5ddb08539f83da",
"cross_cats_sorted": [
"cs.CV",
"physics.med-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-11-08T10:59:40Z",
"title_canon_sha256": "60d29818e810a5fb4c75f23f776a26aeacf0568398e79a84a933022016d17e4e"
},
"schema_version": "1.0",
"source": {
"id": "2111.04735",
"kind": "arxiv",
"version": 1
}
}