Pith Number
pith:BZWPTB3M
pith:2026:BZWPTB3MGZDHTYXYAIUDCLHWWH
not attested
not anchored
not stored
refs pending
A Deep Learning Earth System Model Simulation of Indian Monsoon Intraseasonal and Interannual Variability
arxiv:2607.01676 v1 · 2026-07-02 · physics.ao-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BZWPTB3MGZDHTYXYAIUDCLHWWH}
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 | 2026-07-03T01:17:26.499772Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0e6cf9876c364679e2f80228312cf6b1e03d0553bd52a5002b4212dc3d8e56fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BZWPTB3MGZDHTYXYAIUDCLHWWH \
| 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: 0e6cf9876c364679e2f80228312cf6b1e03d0553bd52a5002b4212dc3d8e56fb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2945c410973ad19eef66d35f935658dbfc4436199785efd15bdc737f3469031d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2026-07-02T04:05:16Z",
"title_canon_sha256": "3a10b53013152cdc8782e0b62ca29b5f55dd997d414fc3bb5be99d5ca93d4add"
},
"schema_version": "1.0",
"source": {
"id": "2607.01676",
"kind": "arxiv",
"version": 1
}
}