Pith Number
pith:FG5BVZMW
pith:2023:FG5BVZMWDN4YOIQOCVAFGZREPM
not attested
not anchored
not stored
refs pending
Weakly-supervised ROI extraction method based on contrastive learning for remote sensing images
arxiv:2305.05887 v1 · 2023-05-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FG5BVZMWDN4YOIQOCVAFGZREPM}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T06:08:57.225294Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29ba1ae5961b7987220e15405366247b07c51fd8791ac3d6fa8f057db3db71d1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FG5BVZMWDN4YOIQOCVAFGZREPM \
| 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: 29ba1ae5961b7987220e15405366247b07c51fd8791ac3d6fa8f057db3db71d1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3eedb21513a019e34e15a155cb90436812beac84fb18efe940245972c956abd4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-05-10T04:18:45Z",
"title_canon_sha256": "49f9d36d06ae10a850c89311417b9f5190dac009eb218328af535bd93f3ca525"
},
"schema_version": "1.0",
"source": {
"id": "2305.05887",
"kind": "arxiv",
"version": 1
}
}