Pith Number
pith:I3YM3K6V
pith:2017:I3YM3K6V5CVVHYN43365RKLHEJ
not attested
not anchored
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refs pending
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
arxiv:1710.03344 v1 · 2017-10-09 · cs.CV · physics.med-ph · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I3YM3K6V5CVVHYN43365RKLHEJ}
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 | 2026-05-18T00:33:12.333461Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
46f0cdabd5e8ab53e1bcdefdd8a967226c86f16a090890da28cbc2a7682f635f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I3YM3K6V5CVVHYN43365RKLHEJ \
| 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: 46f0cdabd5e8ab53e1bcdefdd8a967226c86f16a090890da28cbc2a7682f635f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c0b5b1e94d9ad6c12ee119079c6494f2cd36f2f74a01ffd7379d24ec8419e7b6",
"cross_cats_sorted": [
"physics.med-ph",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-10-09T22:51:28Z",
"title_canon_sha256": "6dff66871327947ff7be9a14237e3a784fd18be684c70b81bddf6d401a1a68a1"
},
"schema_version": "1.0",
"source": {
"id": "1710.03344",
"kind": "arxiv",
"version": 1
}
}