Pith Number
pith:CYL7EYN4
pith:2025:CYL7EYN4QX225JTJ4RRIDKBIQU
not attested
not anchored
not stored
refs pending
Multi-class Seismic Building Damage Assessment from InSAR Imagery using Quadratic Variational Causal Bayesian Inference
arxiv:2502.18546 v1 · 2025-02-25 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CYL7EYN4QX225JTJ4RRIDKBIQU}
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 | 2026-07-05T10:19:59.800998Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1617f261bc85f5aea669e46281a82885236056e236d03c5e47e9658b65ff8d5c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CYL7EYN4QX225JTJ4RRIDKBIQU \
| 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: 1617f261bc85f5aea669e46281a82885236056e236d03c5e47e9658b65ff8d5c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d31449b80b4247fe34fb4c9a2fff4579984d81501f90b157a74e36fa660306ce",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-25T15:40:16Z",
"title_canon_sha256": "0b3d54ca74e39c8d4c927690aea91e44ab2a06bff8de256b93d56b6bb186ee21"
},
"schema_version": "1.0",
"source": {
"id": "2502.18546",
"kind": "arxiv",
"version": 1
}
}