Pith Number
pith:DJ4T5RFT
pith:2018:DJ4T5RFT5BYM3IZAYNV5YHCTJX
not attested
not anchored
not stored
refs pending
A machine learning approach to reconstruction of heart surface potentials from body surface potentials
arxiv:1802.02240 v1 · 2018-01-19 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DJ4T5RFT5BYM3IZAYNV5YHCTJX}
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 | 2026-05-18T00:24:08.831233Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1a793ec4b3e870cda320c36bdc1c534dedc64a26fd7a721405c497267ae2046a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DJ4T5RFT5BYM3IZAYNV5YHCTJX \
| 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: 1a793ec4b3e870cda320c36bdc1c534dedc64a26fd7a721405c497267ae2046a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7fc0310672689a47955e39b9e571723a6e9cbe548bdecb08c449e335bcb2e252",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-01-19T22:36:46Z",
"title_canon_sha256": "1196570bc818b7fabbc0e750061c5ff4325e175c0fe032c61f0613a67e1e2f38"
},
"schema_version": "1.0",
"source": {
"id": "1802.02240",
"kind": "arxiv",
"version": 1
}
}