Pith Number
pith:WU3TQYNQ
pith:2016:WU3TQYNQKAVX2UCRGJ7EK2BDHJ
not attested
not anchored
not stored
refs pending
Predictive modelling of football injuries
arxiv:1609.07480 v1 · 2016-09-20 · stat.AP · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WU3TQYNQKAVX2UCRGJ7EK2BDHJ}
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 | 2026-05-18T01:03:56.244727Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b5373861b0502b7d5051327e4568233a4fcd2453d8cb5a50510c7bb113fbfef1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WU3TQYNQKAVX2UCRGJ7EK2BDHJ \
| 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: b5373861b0502b7d5051327e4568233a4fcd2453d8cb5a50510c7bb113fbfef1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "593d33f1abcfb3d847801ab642c4fcd98b5968d9ce5e613f16f2edc3bc47d669",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2016-09-20T11:58:42Z",
"title_canon_sha256": "fa4692764b0d81f98779247860a6d6126f9d9aac024f4c6d623026c96a2e25af"
},
"schema_version": "1.0",
"source": {
"id": "1609.07480",
"kind": "arxiv",
"version": 1
}
}