Pith Number
pith:4JIS6I32
pith:2020:4JIS6I32JR5KCX2LPBKNBMJU4Q
not attested
not anchored
not stored
refs pending
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
arxiv:2005.02706 v3 · 2020-05-06 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4JIS6I32JR5KCX2LPBKNBMJU4Q}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T01:39:13.474876Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e2512f237a4c7aa15f4b7854d0b134e4200491a970d5cf9f416d316e675af4ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4JIS6I32JR5KCX2LPBKNBMJU4Q \
| 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: e2512f237a4c7aa15f4b7854d0b134e4200491a970d5cf9f416d316e675af4ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9acc9f9576554418fcc573a2f4620c2082eaea2f5bef5746c182d12b52de9af1",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2020-05-06T10:21:16Z",
"title_canon_sha256": "e340cd1d258714856905fdc33fa18c1739b5d7b6e31f0ab6029e4c1eb7d8e764"
},
"schema_version": "1.0",
"source": {
"id": "2005.02706",
"kind": "arxiv",
"version": 3
}
}