Pith Number
pith:MKLJFDXB
pith:2025:MKLJFDXBOQGJ3U36FXUT3AYXKL
not attested
not anchored
not stored
refs pending
Simple is what you need for efficient and accurate medical image segmentation
arxiv:2506.13415 v1 · 2025-06-16 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MKLJFDXBOQGJ3U36FXUT3AYXKL}
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 | 2026-07-05T11:22:19.870489Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6296928ee1740c9dd37e2de93d831752d5eac25b51acac49eb615733b6303795
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MKLJFDXBOQGJ3U36FXUT3AYXKL \
| 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: 6296928ee1740c9dd37e2de93d831752d5eac25b51acac49eb615733b6303795
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f343da2fb715768431a44961c556b39823ca5c4fa05023d694ac0fc4f9168c00",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-06-16T12:31:48Z",
"title_canon_sha256": "f24d3913165d8bf438c91c421eb9f4b041aaa8f382cc1affca0699db137f0e66"
},
"schema_version": "1.0",
"source": {
"id": "2506.13415",
"kind": "arxiv",
"version": 1
}
}