Pith Number
pith:INTXB5G3
pith:2025:INTXB5G3ANGVO7UVLMPL422YVO
not attested
not anchored
not stored
refs pending
Mutual Evidential Deep Learning for Medical Image Segmentation
arxiv:2505.12418 v1 · 2025-05-18 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{INTXB5G3ANGVO7UVLMPL422YVO}
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
· sign in to
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 | 2026-07-05T11:05:03.910022Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
436770f4db034d577e955b1ebe6b58abb3fded0e1db6b6dbe55fe9202ee8effa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/INTXB5G3ANGVO7UVLMPL422YVO \
| 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: 436770f4db034d577e955b1ebe6b58abb3fded0e1db6b6dbe55fe9202ee8effa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1039725a4a7c792355c9af66aa4f7b5f16fbb02a61765f4bd131daff053dc841",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-05-18T13:42:27Z",
"title_canon_sha256": "37dc41db29ce28aebb6cbd7c9b64a727bcac6a4738c89f6988f31368b86987ed"
},
"schema_version": "1.0",
"source": {
"id": "2505.12418",
"kind": "arxiv",
"version": 1
}
}