Pith Number
pith:DFTO3JXB
pith:2018:DFTO3JXBKD24K7TZCBMCPJ3M5Z
not attested
not anchored
not stored
refs pending
Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI
arxiv:1812.06061 v1 · 2018-12-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DFTO3JXBKD24K7TZCBMCPJ3M5Z}
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 | 2026-05-17T23:58:15.676135Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1966eda6e150f5c57e79105827a76cee735b4d53e0a57b3c8cfe63b4f17fdc23
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DFTO3JXBKD24K7TZCBMCPJ3M5Z \
| 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: 1966eda6e150f5c57e79105827a76cee735b4d53e0a57b3c8cfe63b4f17fdc23
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9d3f741bc84aee368683b1e6de81d00779a7e5a826a0e5325eae7bf189b32091",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-12-14T18:20:39Z",
"title_canon_sha256": "64350a38337bc2fd5153c57bb083974ae59a04e1a9e92177d126d216bb15594f"
},
"schema_version": "1.0",
"source": {
"id": "1812.06061",
"kind": "arxiv",
"version": 1
}
}