Pith Number
pith:72UDCAYZ
pith:2024:72UDCAYZIVNLSBQMWJFOIPQOQM
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refs pending
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
arxiv:2405.04800 v1 · 2024-05-08 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{72UDCAYZIVNLSBQMWJFOIPQOQM}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-07-05T08:16:54.379284Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fea8310319455ab9060cb24ae43e0e83202051aa2c4e2d5654608985524c4248
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/72UDCAYZIVNLSBQMWJFOIPQOQM \
| 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: fea8310319455ab9060cb24ae43e0e83202051aa2c4e2d5654608985524c4248
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ad9e5c44e0df62cd2c3f8d9171c14b3333fa5c0ce3ad2d2bb3d5bb442ce1ace8",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-05-08T04:21:03Z",
"title_canon_sha256": "8500e5b163316eba7b7888c4596aa737f5039c772f76b110bc65f96ecc2fadf7"
},
"schema_version": "1.0",
"source": {
"id": "2405.04800",
"kind": "arxiv",
"version": 1
}
}