Pith Number
pith:B5RFFUJO
pith:2024:B5RFFUJOIH5VQVYRQWIXSECOBK
not attested
not anchored
not stored
refs pending
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention
arxiv:2402.02349 v2 · 2024-02-04 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5RFFUJOIH5VQVYRQWIXSECOBK}
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 | 2026-07-05T09:04:32.659782Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f6252d12e41fb585711859179104e0aa0c5a8329cd3ef4fbecb8ef4bc82e01b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5RFFUJOIH5VQVYRQWIXSECOBK \
| 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: 0f6252d12e41fb585711859179104e0aa0c5a8329cd3ef4fbecb8ef4bc82e01b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e5bc6e9cff679d39e31a5623918ab56be7d3da8d002e86d76014555db0344e94",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-02-04T05:25:12Z",
"title_canon_sha256": "acd6ea58b998d65bb6045e2a0c60943ea7fc80bb7aa01bb6a8f541f3b80d2c8c"
},
"schema_version": "1.0",
"source": {
"id": "2402.02349",
"kind": "arxiv",
"version": 2
}
}