Pith Number
pith:XY6LXSQA
pith:2024:XY6LXSQAHC76HDYJ5ZMI7UE4SQ
not attested
not anchored
not stored
refs pending
Infectious Disease Forecasting in India using LLM's and Deep Learning
arxiv:2410.20168 v1 · 2024-10-26 · cs.LG · cs.LO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XY6LXSQAHC76HDYJ5ZMI7UE4SQ}
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 | 2026-07-05T09:26:40.145598Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be3cbbca0038bfe38f09ee588fd09c94112657466c2720fd677b353a13540091
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XY6LXSQAHC76HDYJ5ZMI7UE4SQ \
| 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: be3cbbca0038bfe38f09ee588fd09c94112657466c2720fd677b353a13540091
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "542dca22f7c00920dce1263c60f078a8af6e2621dec6e9c4c7b9997a873f335f",
"cross_cats_sorted": [
"cs.LO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-26T12:54:09Z",
"title_canon_sha256": "dcf99141209b69c1f9288ed673262f9d646e8da01e1401774ee04e56d522168e"
},
"schema_version": "1.0",
"source": {
"id": "2410.20168",
"kind": "arxiv",
"version": 1
}
}