Pith Number
pith:X7IMGFLU
pith:2019:X7IMGFLUP5GQDDDSY4P2OTTY5J
not attested
not anchored
not stored
refs pending
Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization
arxiv:1908.02170 v1 · 2019-08-06 · cs.CY · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X7IMGFLUP5GQDDDSY4P2OTTY5J}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-04T23:51:51.747471Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bfd0c315747f4d018c72c71fa74e78ea56433a0802f67a9d684d1506f4950686
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X7IMGFLUP5GQDDDSY4P2OTTY5J \
| 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: bfd0c315747f4d018c72c71fa74e78ea56433a0802f67a9d684d1506f4950686
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "20b9db316d8f637626b70e672cfa191ad18be9358f5ed28aa00cecc0ac49ea83",
"cross_cats_sorted": [
"cs.LG",
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2019-08-06T14:06:45Z",
"title_canon_sha256": "cba3611a13e52e0986daf9ca0c5c1ac4b08ce2cabd205f3a37c32b2b75c2a68d"
},
"schema_version": "1.0",
"source": {
"id": "1908.02170",
"kind": "arxiv",
"version": 1
}
}