Pith Number
pith:L7WY3XAD
pith:2025:L7WY3XADRFEZNS5EAXAXDV3OET
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A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning
arxiv:2505.01558 v1 · 2025-05-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L7WY3XADRFEZNS5EAXAXDV3OET}
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Record completeness
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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 | 2026-07-05T10:57:59.969793Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5fed8ddc03894996cba405c171d76e24c6f6a1646af4d138b766acaf048b9d79
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L7WY3XADRFEZNS5EAXAXDV3OET \
| 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: 5fed8ddc03894996cba405c171d76e24c6f6a1646af4d138b766acaf048b9d79
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9c4916b99a6a5a860f84cdc190d6f6a5a28bfcb48d05810e3ad572aa11fd340",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-02T19:52:02Z",
"title_canon_sha256": "7b9a81d60dad0bc7fc0c0192aa9756a03f6ee972e368f3d44c4508e63a0bfb6f"
},
"schema_version": "1.0",
"source": {
"id": "2505.01558",
"kind": "arxiv",
"version": 1
}
}