Pith Number
pith:K4M2SXXW
pith:2025:K4M2SXXWSHGZY5P5Z6S2GG6HG2
not attested
not anchored
not stored
refs pending
Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
arxiv:2505.14555 v2 · 2025-05-20 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K4M2SXXWSHGZY5P5Z6S2GG6HG2}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T11:08:21.158478Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5719a95ef691cd9c75fdcfa5a31bc73698c09f8575ee8d7e766fb064c686c12a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K4M2SXXWSHGZY5P5Z6S2GG6HG2 \
| 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: 5719a95ef691cd9c75fdcfa5a31bc73698c09f8575ee8d7e766fb064c686c12a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9548cb4b6e58ad91925a36c2df0ce6bfd468b948e35c502628619e9baeff1ce1",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-20T16:13:20Z",
"title_canon_sha256": "b594842ac29a309ac40a014638bfe25e6c1f63efaa3df3271b9254737cf0636d"
},
"schema_version": "1.0",
"source": {
"id": "2505.14555",
"kind": "arxiv",
"version": 2
}
}