Pith Number
pith:LTPQ2OCP
pith:2023:LTPQ2OCPAAFHRT7Z6C27CBPOO5
not attested
not anchored
not stored
refs pending
MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting
arxiv:2306.10356 v3 · 2023-06-17 · cs.LG · cs.AI · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LTPQ2OCPAAFHRT7Z6C27CBPOO5}
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.
Cited by
Receipt and verification
| First computed | 2026-05-29T01:04:49.504285Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cdf0d384f000a78cff9f0b5f105ee7753aea4833b8cb52fd854b62dc027edd0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTPQ2OCPAAFHRT7Z6C27CBPOO5 \
| 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: 5cdf0d384f000a78cff9f0b5f105ee7753aea4833b8cb52fd854b62dc027edd0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "51096c7cf67f453b1eeb23b9607a0d16918d84c6ef63f127fbbf078194e5bd91",
"cross_cats_sorted": [
"cs.AI",
"eess.SP"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-06-17T14:03:09Z",
"title_canon_sha256": "4acbd542050153cb611a25c214c4c4951ccfc25ce041fc88940d3aaa2448e154"
},
"schema_version": "1.0",
"source": {
"id": "2306.10356",
"kind": "arxiv",
"version": 3
}
}