Pith Number
pith:MLLA7REP
pith:2025:MLLA7REPZPGZOW5A53KU6ICYQ5
not attested
not anchored
not stored
refs pending
Exploring Multimodal AI Reasoning for Meteorological Forecasting from Skew-T Diagrams
arxiv:2508.12198 v1 · 2025-08-17 · physics.ao-ph · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MLLA7REPZPGZOW5A53KU6ICYQ5}
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 | 2026-07-05T11:55:01.615229Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62d60fc48fcbcd975ba0eed54f20588760ec7099dbba49ffd385cdce60372018
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MLLA7REPZPGZOW5A53KU6ICYQ5 \
| 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: 62d60fc48fcbcd975ba0eed54f20588760ec7099dbba49ffd385cdce60372018
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "728bc266a28c3195614a9497baef7f9b2f47bedabc2143e1f8076317806e2a11",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2025-08-17T01:36:31Z",
"title_canon_sha256": "17b169867ca0c31b96e7ed59a7f77bfdd72035b7f7c4130f893e64843bb30c2b"
},
"schema_version": "1.0",
"source": {
"id": "2508.12198",
"kind": "arxiv",
"version": 1
}
}