Pith Number
pith:4M4L3KM5
pith:2022:4M4L3KM5C3L54ZFFUXQFWZ7SAM
not attested
not anchored
not stored
refs pending
Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimation
arxiv:2202.10555 v1 · 2022-02-17 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4M4L3KM5C3L54ZFFUXQFWZ7SAM}
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 | 2026-07-05T04:04:04.897523Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e338bda99d16d7de64a5a5e05b67f203175c60dad224e826919df4aa49cc19a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4M4L3KM5C3L54ZFFUXQFWZ7SAM \
| 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: e338bda99d16d7de64a5a5e05b67f203175c60dad224e826919df4aa49cc19a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "88ae98e326bb021c51b70732934f3602f08edbe6c79c5312b974228b4b976b58",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-02-17T09:55:52Z",
"title_canon_sha256": "2f300a5366195d2c7075eb96ea238f0c5a00e91647709482e75d0374966a6d15"
},
"schema_version": "1.0",
"source": {
"id": "2202.10555",
"kind": "arxiv",
"version": 1
}
}