Pith Number
pith:DHPSOU6D
pith:2020:DHPSOU6DMXHDHLQEEGJ7K5YOS3
not attested
not anchored
not stored
refs pending
Can Synthetic Data Improve Object Detection Results for Remote Sensing Images?
arxiv:2006.05015 v1 · 2020-06-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DHPSOU6DMXHDHLQEEGJ7K5YOS3}
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 | 2026-07-05T01:09:09.797644Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
19df2753c365ce33ae042193f5770e96fe7e20f3bdfce8effed351010fee3473
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DHPSOU6DMXHDHLQEEGJ7K5YOS3 \
| 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: 19df2753c365ce33ae042193f5770e96fe7e20f3bdfce8effed351010fee3473
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6d95faefcd1112fd7fa04612d02430831b9a72b891f140c2b93533f9fd42f0a9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-06-09T02:23:22Z",
"title_canon_sha256": "e17e08bb0005360d86d23d5df007557116e5f60b1ab5b1d4134de1ab6148c0c6"
},
"schema_version": "1.0",
"source": {
"id": "2006.05015",
"kind": "arxiv",
"version": 1
}
}