Pith Number
pith:LEK6Y37G
pith:2025:LEK6Y37GJWCBJXC633KKN5UDI7
not attested
not anchored
not stored
refs pending
CardioMorphNet: Cardiac Motion Prediction Using a Shape-Guided Bayesian Recurrent Deep Network
arxiv:2508.20734 v2 · 2025-08-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LEK6Y37GJWCBJXC633KKN5UDI7}
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.
Receipt and verification
| First computed | 2026-06-09T02:07:06.883485Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5915ec6fe64d8414dc5eded4a6f68347e0544ceb77ba6f150aee3300c838e6cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LEK6Y37GJWCBJXC633KKN5UDI7 \
| 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: 5915ec6fe64d8414dc5eded4a6f68347e0544ceb77ba6f150aee3300c838e6cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a49a23ce2625d49bd8e1fb23ecfd3253631773f5c2c2dfbb8e5e23006eede4a5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-28T12:58:14Z",
"title_canon_sha256": "ba3db457f783ba762fe4d89d05934f2396c79fa2da8e675ffa7dbb206553d723"
},
"schema_version": "1.0",
"source": {
"id": "2508.20734",
"kind": "arxiv",
"version": 2
}
}