Pith Number
pith:A4PQN63R
pith:2021:A4PQN63RAD33JWXK6CJWGTUKKY
not attested
not anchored
not stored
refs pending
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
arxiv:2107.08369 v4 · 2021-07-18 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A4PQN63RAD33JWXK6CJWGTUKKY}
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 | 2026-07-05T03:25:16.216630Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
071f06fb7100f7b4daeaf093634e8a5623ce82878563e8937dccab34e004231a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A4PQN63RAD33JWXK6CJWGTUKKY \
| 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: 071f06fb7100f7b4daeaf093634e8a5623ce82878563e8937dccab34e004231a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d0f067fda7ede0d032d285395d404638d99cc11dd1633732d8aac310657dac3",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-07-18T05:42:10Z",
"title_canon_sha256": "05d2df41044e9aa8bf99e59d872f6fe555c8e770e8ba4fc9e6ae49b4b69ba5f0"
},
"schema_version": "1.0",
"source": {
"id": "2107.08369",
"kind": "arxiv",
"version": 4
}
}