Pith Number
pith:3GVCOX27
pith:2026:3GVCOX27DPHSB4V5GYGAMZJBB4
not attested
not anchored
not stored
refs pending
MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI
arxiv:2607.10988 v1 · 2026-07-13 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3GVCOX27DPHSB4V5GYGAMZJBB4}
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.
Receipt and verification
| First computed | 2026-07-14T01:21:51.158218Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d9aa275f5f1bcf20f2bd360c0665210f0f07cdd259c26a45485aaf47ba5b24bc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3GVCOX27DPHSB4V5GYGAMZJBB4 \
| 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: d9aa275f5f1bcf20f2bd360c0665210f0f07cdd259c26a45485aaf47ba5b24bc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9a5ab09f81e5b78fa89d63a3cfeca1ea319f08d89ac2c3524b6230cfc1cf1c5a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-13T01:22:16Z",
"title_canon_sha256": "bbef6cb940ba46b7aebe530ea2c8d5a40eec21b65e039b0516a05c3b54687d0b"
},
"schema_version": "1.0",
"source": {
"id": "2607.10988",
"kind": "arxiv",
"version": 1
}
}