Pith Number
pith:4PANP2H3
pith:2024:4PANP2H3JNXQ6DM47K7DVAC3ZS
not attested
not anchored
not stored
refs pending
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation
arxiv:2408.00640 v2 · 2024-08-01 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4PANP2H3JNXQ6DM47K7DVAC3ZS}
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
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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 | 2026-07-05T08:55:37.828247Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3c0d7e8fb4b6f0f0d9cfabe3a805bcc9f3e02bf3c402fecf58a28c8441f4190
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4PANP2H3JNXQ6DM47K7DVAC3ZS \
| 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: e3c0d7e8fb4b6f0f0d9cfabe3a805bcc9f3e02bf3c402fecf58a28c8441f4190
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a48e7d17617c2653ea46a91bd846782ef33660dc7877597931439bf51a0da7f",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-08-01T15:27:48Z",
"title_canon_sha256": "7d7d0c32a024d7175fed699a294f8a529a538ff3c25f168e1401941d9efabba9"
},
"schema_version": "1.0",
"source": {
"id": "2408.00640",
"kind": "arxiv",
"version": 2
}
}