Pith Number
pith:GH6GMWTG
pith:2024:GH6GMWTGSHZK6XGR2VBPZUV7VT
not attested
not anchored
not stored
refs pending
Forecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with Discrepancy
arxiv:2412.14339 v2 · 2024-12-18 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GH6GMWTGSHZK6XGR2VBPZUV7VT}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T12:00:45.157882Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31fc665a6691f2af5cd1d542fcd2bfaceb6bc30ddddda6e39236987716c4219d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GH6GMWTGSHZK6XGR2VBPZUV7VT \
| 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: 31fc665a6691f2af5cd1d542fcd2bfaceb6bc30ddddda6e39236987716c4219d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e2aac072f2d7b3f218878f1adb1e6c04198a5d07d8459e68a780736d1df2c44",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.AP",
"submitted_at": "2024-12-18T21:12:30Z",
"title_canon_sha256": "6988578bdb867129c171a05315162e6b543b1bb5adbc55df0780256d0b031689"
},
"schema_version": "1.0",
"source": {
"id": "2412.14339",
"kind": "arxiv",
"version": 2
}
}