Pith Number
pith:WO63JJER
pith:2025:WO63JJERKENDY4TFX445HPO6JZ
not attested
not anchored
not stored
refs pending
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
arxiv:2502.14887 v1 · 2025-02-16 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WO63JJERKENDY4TFX445HPO6JZ}
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
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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 | 2026-07-05T10:17:35.891813Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b3bdb4a491511a3c7265bf39d3bdde4e4e4c5eacae7ec7b932fcca0652700e23
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WO63JJERKENDY4TFX445HPO6JZ \
| 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: b3bdb4a491511a3c7265bf39d3bdde4e4e4c5eacae7ec7b932fcca0652700e23
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e56a9f6e51f35be189f1be5e0af84a1f80d7e462f9e233e4fb9be7b63bccd03",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-16T14:15:06Z",
"title_canon_sha256": "2e959ca6a9937f3d6897b30815722e882c5aff45b65cc41a250768b749e0867a"
},
"schema_version": "1.0",
"source": {
"id": "2502.14887",
"kind": "arxiv",
"version": 1
}
}