Pith Number
pith:VS43HJCK
pith:2026:VS43HJCK3AWXFI6BULSX2WGCRJ
not attested
not anchored
not stored
refs pending
Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning
arxiv:2605.28016 v1 · 2026-05-27 · cs.CV · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VS43HJCK3AWXFI6BULSX2WGCRJ}
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 | 2026-05-28T01:04:56.088289Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
acb9b3a44ad82d72a3c1a2e57d58c28a5167057fca86464246ea84027b33030e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VS43HJCK3AWXFI6BULSX2WGCRJ \
| 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: acb9b3a44ad82d72a3c1a2e57d58c28a5167057fca86464246ea84027b33030e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b7854dab55d4166825d892bb8f17561dfa45db30265f138720ec4078200d7b1e",
"cross_cats_sorted": [
"physics.med-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-27T06:11:34Z",
"title_canon_sha256": "b02dfb44e608c00bb1170fb0064aeee50c718689ab8d5b11e311f98e9832d995"
},
"schema_version": "1.0",
"source": {
"id": "2605.28016",
"kind": "arxiv",
"version": 1
}
}