Pith Number
pith:3MTJJNQL
pith:2025:3MTJJNQL4VRFAMMMMRCJLW2ZMF
not attested
not anchored
not stored
refs pending
KP-INR: A Dual-Branch Implicit Neural Representation Model for Cardiac Cine MRI Reconstruction
arxiv:2508.12147 v1 · 2025-08-16 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3MTJJNQL4VRFAMMMMRCJLW2ZMF}
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 | 2026-07-05T11:55:00.875141Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
db2694b60be56250318c644495db596153f7895f60269e848fd24a0fe01ea1e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3MTJJNQL4VRFAMMMMRCJLW2ZMF \
| 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: db2694b60be56250318c644495db596153f7895f60269e848fd24a0fe01ea1e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8344ff846e93525a135b3e300fe8f61c3212ad398a88ff4bdb303fd58b9e833e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-16T20:02:14Z",
"title_canon_sha256": "0132e933ea76ede48a24784a24abb8c00983b160ac34ba004eb5f17268e11d36"
},
"schema_version": "1.0",
"source": {
"id": "2508.12147",
"kind": "arxiv",
"version": 1
}
}