Pith Number
pith:7HXHE24F
pith:2024:7HXHE24FRD2U2IUNQYC5KTWR7E
not attested
not anchored
not stored
refs pending
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network
arxiv:2411.13873 v1 · 2024-11-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7HXHE24FRD2U2IUNQYC5KTWR7E}
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
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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 | 2026-07-05T09:38:38.419242Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9ee726b8588f54d228d8605d54ed1f9311bc105b0d3efdde0efeab42809a1a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7HXHE24FRD2U2IUNQYC5KTWR7E \
| 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: f9ee726b8588f54d228d8605d54ed1f9311bc105b0d3efdde0efeab42809a1a7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d6c419f056e710ddc74ee40f6e804a62e825c8d4d2a92c475e4ea2b758d8c016",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-11-21T06:15:43Z",
"title_canon_sha256": "c5c29fd6cb29e23aaf0234ed95eb3d4f26a38da11ce5980131e858323a950073"
},
"schema_version": "1.0",
"source": {
"id": "2411.13873",
"kind": "arxiv",
"version": 1
}
}