Pith Number
pith:WG4LGABN
pith:2019:WG4LGABNLMUWK6HAXYA26ZVPGY
not attested
not anchored
not stored
refs pending
Learning the Representations of Moist Convection with Convolutional Neural Networks
arxiv:1905.09614 v1 · 2019-05-23 · physics.ao-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WG4LGABNLMUWK6HAXYA26ZVPGY}
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 | 2026-05-17T23:45:16.516077Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b1b8b3002d5b296578e0be01af66af36121db1a2a08310f4edfecef5995c7d14
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WG4LGABNLMUWK6HAXYA26ZVPGY \
| 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: b1b8b3002d5b296578e0be01af66af36121db1a2a08310f4edfecef5995c7d14
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "397da0035a63817c0596c88dfe89f0bc752b46b5bff0e67c9632cb1d3cc2e6eb",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2019-05-23T12:25:05Z",
"title_canon_sha256": "a5fee4ebac0dddaaa600c3de4e238942711bcef3e463d426a57edb7a392ef981"
},
"schema_version": "1.0",
"source": {
"id": "1905.09614",
"kind": "arxiv",
"version": 1
}
}